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Minerva Anestesiol. 1995 May;61(5):173-81. Multivariate prediction of in-hospital 
mortality associated with surgical procedures.De Ritis G, 
Giovannini C, Picardo S, Pietropaoli P.condotto 
• 24,654 pazienti al di sopra di 15 anni di età ,multicentrico 
• gennaio 1989 - dicembre 1990 
• mortalità nei ricoverati entro 30 gg. 
• Variabili : 
• età 
• Sesso 
• Pressione sistolica 
• Disfunzione renale 
• Disfunzione epatica 
• Malattie concomitanti 
• Severità della chirurgia 
• Priorità della chirurgia 
• Durata dell’anestesia.
• With what certainty can post-anaesthetic 
outcome be predicted? 
• Short, Timothy G.; Kluger, Michal T. 
• Volume 11(2), April 1998, pp 209-212
Arvidsson S, Ouchterlony J, Sjosted L, Svardsudd K. Predicting 
postoperative adverse events. Clinical efficiency of four general 
classification systems. Acta Anaesthesiol Scand 1996;40:783-791 
• prospective perioperative risk assessment 
project 
• 4 simple predictors on 1471 patients 
• ASA physical status, 
• patient age, 
• surgical stress 
• visual analogue scale for intuitively appreciated global 
risk (RISK-VAS). 
– This score was between 0 (almost certain to go through procedure with no 
adverse outcome) and 10 (patient will almost certainly suffer a serious 
complication).
Arvidsson S, Ouchterlony J, Sjosted L, Svardsudd K. Predicting 
postoperative adverse events. Clinical efficiency of four general 
classification systems. Acta Anaesthesiol Scand 1996;40:783-791 
• All four classification systems correlated to postoperative 
adverse events. The best predictor was RISK-VAS. Those with a 
score of 4 or more had a 28-fold increased risk of suffering a 
severe postoperative adverse event compared with patients with 
scores of less than 4. Positive predictive value was 10% with 
RISK-VAS score of 7 or more. Low numbers, low mortality and 
lack of detail on choice of anaesthetic, however, make the result 
difficult to interpret. It is of interest that the overall impression 
of the anaesthetist correlated best with outcome, confirming the 
role of experience and intuition in predicting outcome.
Klotz HP, Candinas D, Platz A, Horvath A, Dindo D, Schlumpf R, 
Largiader F. Preoperative risk assessment in elective general 
surgery. Ann Surg 1996;83:1788-1791. 
• included the impact of surgery itself on risk stratification. In a prospective 
review of 3250 patients using stepwise logistic regression analysis, ASA 
status, severity of operative procedure, symptoms of respiratory disease 
and malignancy were identified as significant risk factors. Patients were 
ranked according to risk into low (5% complication rate), medium (18% 
complication rate) and high (33% complication rate) risk categories. Using 
a scoring system based on these indices, patients with an adverse 
outcome were more likely to be predicted from these indices than from 
ASA score alone. Both the above studies emphasize the use of some 
surgical impact score on outcome. Like the APACHE scoring system in 
intensive care medicine, however, these scoring systems continue to lack 
sensitivity, specificity and have positive predictive values of only a few per 
cent. Although useful for population assessment, outcome scores suitable 
for application in individuals are still lacking.
identified as significant risk factors. 
Klotz HP, Candinas D, Platz A, Horvath A, Dindo D, Schlumpf R, Largiader F. Preoperative risk 
assessment in elective general surgery. Ann Surg 1996;83:1788-1791. 
• ASA status, 
• severity of operative procedure 
• symptoms of respiratory disease 
• Malignancy
outcome 
Conseguenza,esito,risultato
Surgical Apgar Score 
Regenbogen, Scott E. MD, MPH *+; Lancaster, R Todd MD *+; Lipsitz, Stuart R. ScD ++; Greenberg, Caprice 
C. MD, MPH ++; Hutter, Matthew M. MD, MPH +; Gawande, Atul A. MD, MPH *++ Does the Surgical Apgar 
Score Measure Intraoperative Performance? Annals of Surgery. 248(2):320-328, August 2008. 
• lowest heart rate 
• lowest mean arterial pressure 
• estimated blood loss 
• A score built from these 3 predictors has proved 
strongly predictive of the risk of major postoperative 
complications and death in general and vascular surgery. 
• The score was thus developed using these 3 variables, and their beta coefficients 
were used to weight the points allocated to each variable in a 10-point score ( 
Table 1).
Regenbogen, Scott E. MD, MPH *+; Lancaster, R Todd MD *+; Lipsitz, Stuart R. ScD ++; 
Greenberg, Caprice C. MD, MPH ++; Hutter, Matthew M. MD, MPH +; Gawande, Atul 
A. MD, MPH *++ Does the Surgical Apgar Score Measure Intraoperative Performance? 
Annals of Surgery. 248(2):320-328, August 2008.
Regenbogen, Scott E. MD, MPH *+; Lancaster, R Todd MD *+; Lipsitz, Stuart R. ScD ++; 
Greenberg, Caprice C. MD, MPH ++; Hutter, Matthew M. MD, MPH +; Gawande, Atul 
A. MD, MPH *++ Does the Surgical Apgar Score Measure Intraoperative Performance? 
Annals of Surgery. 248(2):320-328, August 2008.
Regenbogen, Scott E. MD, MPH *+; Lancaster, R Todd MD *+; Lipsitz, Stuart R. ScD ++; 
Greenberg, Caprice C. MD, MPH ++; Hutter, Matthew M. MD, MPH +; Gawande, Atul 
A. MD, MPH *++ Does the Surgical Apgar Score Measure Intraoperative Performance? 
Annals of Surgery. 248(2):320-328, August 2008.
Regenbogen, Scott E. MD, MPH *+; Lancaster, R Todd MD *+; Lipsitz, Stuart R. ScD ++; 
Greenberg, Caprice C. MD, MPH ++; Hutter, Matthew M. MD, MPH +; Gawande, Atul 
A. MD, MPH *++ Does the Surgical Apgar Score Measure Intraoperative Performance? 
Annals of Surgery. 248(2):320-328, August 2008.
Frequenza delle complicanze a seconda del Surgical Apgar 
Score 
Regenbogen, Scott E. MD, MPH *+; Lancaster, R Todd MD *+; Lipsitz, Stuart R. ScD ++; Greenberg, Caprice C. 
MD, MPH ++; Hutter, Matthew M. MD, MPH +; Gawande, Atul A. MD, MPH *++ Does the Surgical Apgar 
Score Measure Intraoperative Performance? Annals of Surgery. 248(2):320-328, August 2008. 
80 
70 
60 
50 
40 
30 
20 
10 
0 
Ko maggiori 
0-2 
3-4 
5-6 
7-8 
9-10 
%
Regenbogen, Scott E. MD, MPH *+; Lancaster, R Todd MD *+; Lipsitz, Stuart R. ScD ++; 
Greenberg, Caprice C. MD, MPH ++; Hutter, Matthew M. MD, MPH +; Gawande, Atul 
A. MD, MPH *++ Does the Surgical Apgar Score Measure Intraoperative Performance? 
Annals of Surgery. 248(2):320-328, August 2008. 
• We find that even after detailed adjustment for comorbidity 
• and procedure-specific risk factors, the amount of 
• blood loss, lowest heart rate, and lowest blood pressure were 
• still important predictors of the risk of a major complication. 
• The Surgical Apgar Score, therefore, conveyed useful prognostic 
• information, either in isolation or in combination with 
• assessments of the risks that patients brought to the operating 
• room. It also may provide an immediate assessment of how 
• well or poorly the operation has gone for a patient. In this 
• cohort, surgical teams could cut a patient’s risk-adjusted 
• odds of major complications nearly in half with a score of 
• 9 –10, or conversely, nearly triple the risk-adjusted odds 
• with scores 4. 
• This finding, that intraoperative blood loss, heart rate, 
• and blood pressure are critical predictors of postoperative 
• risk, is consistent with a variety of previous observations.
Regenbogen, Scott E. MD, MPH *+; Lancaster, R Todd MD *+; Lipsitz, Stuart R. ScD ++; 
Greenberg, Caprice C. MD, MPH ++; Hutter, Matthew M. MD, MPH +; Gawande, Atul 
A. MD, MPH *++ Does the Surgical Apgar Score Measure Intraoperative Performance? 
Annals of Surgery. 248(2):320-328, August 2008. 
• In summary, we have found that a simple clinimetric 
• surgical outcome score can provide both clinical surgeons 
• and surgical safety researchers with useful and important 
• information. The Surgical Apgar Score integrates components 
• of patient susceptibility, procedure complexity, and 
• operative performance, providing a measure of immediate 
• postoperative condition and prognostication beyond standard 
• risk-adjustment. As a decision-support tool, the score can 
• inform postoperative prognostication, communication, and 
• triage, regardless of the sophistication of preoperative risk 
• stratification available. Finally, as a simple intraoperative 
• outcome measure and safety improvement metric, it may 
• prove useful as an indicator of surgical performance
Il rischio perioperatorio nei malati mentali 
Ann Surg. 2008 Jul;248(1):31-8.Postoperative complications in the seriously mentally ill: a systematic review of the literature. 
Copeland LA, Zeber JE, Pugh MJ, Mortensen EM, Restrepo MI, Lawrence VA 
• Da quel poco che è stato pubblicato la schizofrenia emerge come 
fattore di rischio per mortalità e morbilità,quest’ultima 
peculiare per frequenza di ileo paralitico postop e confusione mentale. 
• questi pazienti sembrerebbero resistenti al dolore . 
• Pazienti affetti da disordini depressivi seri presentano una 
elevate incidenza di delirio postop e di confusione 
mentale. 
• Da notare che tali complicanze sono più frequenti quando si 
sospendono le terapie abituali nel periodo preop. 
– Ann Surg. 2008 Jul;248(1):31-8.Postoperative complications in the seriously mentally ill: a systematic review of the literature. 
Copeland LA, Zeber JE, Pugh MJ, Mortensen EM, Restrepo MI, Lawrence VA
• Table 1: Surgical risk scores classified by 
outcome measure and need for intra-operative 
information 
• Scores predicting mortality Scores predicting 
morbidity 
• Scores not requiring operative information 
ASA1 ASA 
• APACHE-II8 APACHE-II 
• Donati Score16 Goldman Cardiac Risk Index3 
• Hardman Index38 Veltkamp Score44
Cardiac Risk Index in Noncardiac Surgery 
Criteria Finding 
Age (yr) >70 5 
Cardiac status MI within 6 mo 10 
Ventricular gallop or jugular venous distention (signs of heart 
failure) 
11 
Significant aortic stenosis 3 
Arrhythmia other than sinus or premature atrial contractions 7 
≥5 premature ventricular contractions/min 7 
General medical condition Po2 < 60 mm Hg, Pco2 > 50 mm Hg, K < 3 mmol/L, HCO3 <20 
mmol/L, BUN > 50 mg/dL, serum creatinine > 3 mg/dL, elevated 
AST, a chronic liver disorder, or bedbound 
3 
Type of surgery needed Emergency surgery 4 
Intraperitoneal, intrathoracic, or aortic surgery 3 
*Risk is based on the total number of points: 
Level I: 0–5 
Level II: 6–12 
Level III: 13–25 
Level IV: >25 
Adapted from Goldman L et al: Multifactorial index of cardiac risk in noncardiac surgical procedures. New 
England Journal of Medicine 297:845–850, 1977.
aoNmnauryaIuaemvosSPar talpnegg Preoperative ity 
Risk Factors and Surgical Complexity Are More 
Predictive of Costs Than Postoperative Complications: A Case Study 
Using the National Surgical Quality Improvement Program (NSQIP) 
Database [Ann Surg 242(4):463-471, 2005. © 2005 Lippincott 
Williams & Wilkins]
aoNmnauryaIuaemvosSPar talpnegg Table Greatest Increase in Mean Variable Direct Costs 
ity 
The 25 Preoperative Risk Factors Associated With the 
3. Comparison of Individual and Sequentially Combined Multiple Linear Regression Models of Preoperative Risk Factors, Surgical 
Complexity, and Postoperative Complications Versus Transformed Costs 
Table 4. The 10 Postoperative Complications Associated With the Greatest Increase in Mean Variable Direct Costs
aoNmnauryaIuaemvosSPar talpnegg Table ity 
3. Comparison of Individual and Sequentially Combined Multiple Linear Regression Models of Preoperative Risk Factors, Surgical 
Complexity, and Postoperative Complications Versus Transformed Costs 
Table 4. The 10 Postoperative Complications Associated With the Greatest Increase in Mean Variable Direct Costs
aoNmnauryaIuaemvosSPar talpnegg ity
Figure 1. Preoperative risk factor cost predictions versus actual transformed 
costs. A multivariate regression of all the preoperative risk factors predicted 
33% of the variation in costs (P < 0.001). The quartic root transformation 
yielded the best fit of the data.
• Clean wounds 
• The wound is considered to be clean when the 
operative 
• procedure does not enter into a normally 
colonized 
• viscus or lumen of the body. SSI rates in this 
class of 
• procedures are less than 2%, depending upon 
clinical 
• variables, and often originate from
• : Arch Otolaryngol Head Neck Surg. 2003 
Jul;129(7):739-45. Links 
• APACHE II, POSSUM, and ASA scores and the 
risk of perioperative complications in 
patients with oral or oropharyngeal cancer. 
• de Cássia Braga Ribeiro K, Kowalski LP. 
• Hospital Cancer Registry and Department of 
Head and Neck Surgery and 
Otorhinolaryngology, Centro de Tratamento e 
Pesquisa Hospital do Câncer A. C. Camargo,
Ann Surg. 2007 Jul;246(1):91-6. The AFC score: validation of a 4-item predicting 
score of postoperative mortality after colorectal resection for cancer or 
diverticulitis: results of a prospective multicenter study in 1049 patients.Alves A 
, Panis Y, Mantion G, Slim K, Kwiatkowski F, Vicaut E. 
• age older than 70 years 
• neurologic comorbidity 
• underweight (body weight loss >10% in <6 
months) 
• emergency surgery 
• All significantly increased postoperative 
mortality after resection for cancer or 
diverticulitis.
Ireson CL, Schwartz RW. Measuring 
outcomes in surgical patients. Am J 
Surg. 
2001;181:76-80
Arch Surg. 2001 Jan;136(1):55-9. Comment in: Arch Surg. 2001 Mar;136(3):353. 
Risk stratification in emergency surgical patients: is the APACHE II score a 
reliable marker of physiological impairment? Koperna T, Semmler D, Marian F.
Arch Surg. 2001 Jan;136(1):55-9. Comment in: Arch Surg. 2001 Mar;136(3):353. Risk 
stratification in emergency surgical patients: is the APACHE II score a reliable marker 
of physiological impairment? Koperna T, Semmler D, Marian F.
Arch Surg. 2001 Jan;136(1):55-9. Comment in: Arch Surg. 2001 Mar;136(3):353. Risk stratification in 
emergency surgical patients: is the APACHE II score a reliable marker of physiological impairment? 
Koperna T, Semmler D, Marian F.
Preoperative and Long-term Cardiac Risk Assessment Predictive Value of23 Clinical Descriptors, 
7 Multivariate Scoring Systems, and Quantitative Dipyridamole Imaging in 360 Patients.JEAN 
LETTE, M.D.*,t DAVID WATERS, M.D.,t HELENE BERNIER,* PATRICK CHAMPAGNE, B.Sc.,*.JEAN 
LASSONDE, M.D.,* MICHEL PICARD, M.D.,4 MICHEL CERINO, M.D.,* STANLEY NATTEL, 
M.D.,tYVAN BOUCHER, M.D.,* FRANCOISE HEYEN, M.D.,* and SERGE DUBE.
Predictive value of dipyridamole-thallium 
imaging and five clinical 
scoring systems based on 
multifactorial analysis. 
Lette J, Waters D, Lassonde J, 
Dubé S, Heyen F, Picard M, 
Morin M.
Predictive value of dipyridamole-thallium 
imaging and five clinical 
scoring systems based on 
multifactorial analysis. 
Lette J, Waters D, Lassonde J, 
Dubé S, Heyen F, Picard M, 
Morin M.
Predictive value of dipyridamole-thallium 
imaging and five clinical 
scoring systems based on 
multifactorial analysis. 
Lette J, Waters D, Lassonde J, 
Dubé S, Heyen F, Picard M, 
Morin M.
Table 2. The 25 Preoperative Risk Factors Associated With the Greatest Increase in Mean Variable Direct Costs
Table 3. Comparison of Individual and Sequentially Combined Multiple Linear Regression Models of 
Preoperative Risk Factors, Surgical Complexity, and Postoperative Complications Versus Transformed Costs
Table 4. The 10 Postoperative Complications Associated With the Greatest Increase in Mean Variable Direct Costs
Postoperative mortality after inpatient surgery: 
Incidence and risk factors.Karamarie Fecho,Anne T Lunney,Philip G Boysen, 
Peter Rock,Edward A Norfleet. Therapeutics and Clinical Risk Management 
0000:0(0) 1–8 
• Purpose: This study determined the incidence of and identifi ed risk factors for 48 hour (h) 
and 30 day (d) postoperative mortality after inpatient operations. 
• Methods: A retrospective cohort study was conducted using Anesthesiology’s 
Quality Indicator database as the main data source. The database was 
queried for data related to the surgical procedure, anesthetic care, perioperative adverse 
events, and birth/death/operation dates. The 48 h and 30 d cumulative incidence of 
postoperative mortality was calculated and data were analyzed using Chi-square or Fisher’s 
exact test and generalized estimating equations. 
• Results: The 48 h and 30 d incidence of postoperative mortality was 0.57% and 2.1%, 
respectively. Higher American Society of Anesthesiologists physical status scores, 
extremes of age, emergencies, perioperative adverse events and postoperative 
Intensive Care Unit admission were identifi ed as risk factors. 
• The use of monitored anesthesia care or general anesthesia versus regional or combined 
anesthesia was a risk factor for 30 d postoperative mortality only. 
• Time under anesthesia care, perioperative hypothermia, trauma, deliberate hypotension 
and invasive monitoring via arterial, pulmonary artery or cardiovascular catheters were not 
identifi ed as risk factors. 
• Conclusions: Our fi ndings can be used to track postoperative mortality rates and to test 
preventative interventions at our institution and elsewhere.
risk factors 
Postoperative mortality after inpatient surgery: 
Incidence and risk factors.Karamarie Fecho,Anne T Lunney,Philip G Boysen, 
Peter Rock,Edward A Norfleet. Therapeutics and Clinical Risk Management 
0000:0(0) 1–8 
• American Society of Anesthesiologists 
physical status scores 
• extremes of age, 
• emergencies, 
• perioperative adverse events 
postoperative Intensive Care Unit admission
Risk prediction on line 
• Risk prediction in surgery 
[http://www.riskprediction.org.uk/p 
pindex.php].
• This site has been developed to allow surgeons to estimate risk online for 
their patients undergoing surgery. This service is provided for individual 
use to help surgeons more fully consent their patients by giving mortality 
and other surgical risk predictions based on relevant prognostic factors 
including age, disease severity and co-morbidity. Risk adjusted operative 
mortality can be used as an objective measure of outcome for monitoring 
performance within a centre or between centres.
• ACPGBI CRC Model 
ACPGBI Malignant Large Bowel Obstruction Model 
ACPGBI Lymph Node Harvesting Model 
St Mark's Lymph Node Positivity Model 
The Cleveland Clinic Colorectal Laparoscopic Conversion The Cleveland Clinic Ileal Pouch Failure Model 
CR-POSSUM P-POSSUM O-POSSUM 
Vascular-POSSUM models 
MUST screening tool (malnutrition) 
ACPGBI CRC Model - Association of 
Coloproctology of GB & I Colorectal Cancer
calculate a mortality risk online for 
patients using the ACPGBI Colorectal 
Cancer Model 
• Calculate an ACP Score 
• Choose a value in each category that matches your patient from the drop down 
lists in both the physiological and operative parameters tables below. Default 
values (the lowest score) are shown for each category. Simply submitting the form 
as it is without changing the values (i.e. a young fit patient having a minor 
operation) still gives a % risk for mortality. It is important to say in this model by 
ticking the appropriate box whether or not the cancer was resected. The reason 
for this is the value allocated to ASA status is dependent upon resection status. 
• Parameters 
– Age 
– Cancer Resection Status cancer resected cancer NOT resected 
– ASA Status C 
– Cancer Staging :Duke’s 
– Operative Urgency ;elective,urgent,emergency
Calculate a CR-POSSUM Score 
• Choose a value in each category that matches 
your patient from the drop down lists in both 
the physiological and operative parameters 
tables below. Default values (the lowest 
score) are shown for each category. Simply 
submitting the form as it is without changing 
the values (i.e. a young fit patient having a 
minor operation) still gives a v.small % risk for 
mortality. The more 'risky' the procedure the 
more accurate is the predicted risk calculated 
below.
CR POSSUM 
• Physiological Parameters 
– Age 
– Cardiac :No-mild/moderate Carcdiac failure/severe CF 
– Systolic BP 
– Pulse Rate 
– Haemoglobin 
– Urea 
• If calculating risk in a preoperative patient you will need to estimate the 
parameters below. You can return and modify the parameters post-operatively 
if required. 
– Operative Parameters 
– Operation Type 
• Peritoneal Contamination 
• Malignancy Status 
• CEPOD
Calculate a P-POSSUM Score 
Choose a value in each category that matches your patient from the drop 
down lists in both the physiological and operative parameters tables 
below. Default values (the lowest score) are shown for each category. 
Simply submitting the form as it is without changing the values (i.e. a 
young fit patient having a minor operation) still gives a % risk for 
morbidity and mortality. This illustrates that even in the modified P-POSSUM 
formula used in this application still overestimates risk in low risk 
groups. The more 'risky' the procedure the more accurate is the predicted 
risk calculated below.
P-POSSUM score 
Physiological Parameters 
Age 
Cardiac 
Respiratory 
ECG 
Systolic BP 
Pulse Rate 
Haemoglobin 
WBC 
Urea 
Sodium 
Potassium 
GCS I 
f calculating risk in a preoperative patient you will need to estimate the 
parameters below. You can return and modify the parameters post-operatively 
if required. 
Operative Parameters :Operation Type /Number of procedures/ Operative 
Blood Loss/ Peritoneal Contamination/ Malignancy Status/ CEPOD
Calculate an O-POSSUM Score 
• Choose a value in each category that matches your patient from the drop 
down lists in both the physiological and operative parameters tables 
below. You must enter the patients actual age as well as selecting the 
age range otherwise an error will occur. Default values (the lowest score) 
are shown for each category. Simply submitting the form as it is without 
changing the values (i.e. a young fit patient having a minor operation) still 
gives a % risk for mortality.
O-POSSUM Score 
• Physiological Parameters 
– Age Range 
– * BOTH FIELDS MUST BE COMPLETED 
– Actual Age * BOTH FIELDS MUST BE COMPLETED 
– Cardiac 
– Respiratory 
– ECG 
– Systolic BP 
– Pulse Rate 
– Haemoglobin 
– WBC 
– Urea 
– Sodium 
– Potassium 
– GCS 
– If calculating risk in a preoperative patient you will need to estimate the parameters below. You 
can return and modify the parameters post-operatively if required. 
• Operative Parameters :Operation Type/ Malignancy Status/ CEPOD
Malnutrition Universal Screening Tool (MUST 
‘MUST’ is a five-step screening tool to identify adults, who are malnourished, at risk of 
malnutrition, or obese. It also includes management guidelines which can be used 
to develop a care plan. The tool is being used both in hospitals and in the 
community. It is easy to use and can be used by all care workers. 
• Full details of this tool can be found at the following: 
• http://www.bapen.org.uk/the-must.htm 
• Calculate Risk 
• Use the form below to estimate the risk of malnutrition. Please note that the 
figures entered for weight must be in kilograms and the figure entered for height 
must be in centimetres. Conversion charts for Imperial units can be found here 
(opens in a new window). 
• Parameters Current weight (Kg) /Current height (cms) /Previous healthy weight* 
/Is the patient acutely ill and there has been or is likely to be no nutritional intake 
for >5 days? / 
• * This is the patients' weight when they were healthy, or the weight prior to any 
unplanned weight loss in the last 3-6 months
Application of Portsmouth modification of physiological and operative severity scoring 
system for enumeration of morbidity and mortality (P-POSSUM) in pancreatic surgery 
Appou Tamijmarane*, Chandra S Bhati, Darius F Mirza, Simon R Bramhall, 
David A Mayer, Stephen J Wigmore and John AC Buckels.World Journal of Surgical 
Oncology • 2008, 6:39 doi:10.1186/1477-7819-6-39 Abstract Background: Pancreatoduodenectomy (PD) is associated with high incidence of 
morbidity and mortality. We have applied P-POSSUM in predicting the incidence of outcome 
after PD to identify those who are at the highest risk of developing complications. 
• Method: A prospective database of 241 consecutive patients who had PD from January 
2002 to September 2005 was retrospectively updated and analysed. P-POSSUM score was 
calculated for each patient and correlated with observed morbidity and mortality. 
• Results: 30 days mortality was 7.8% and morbidity was 44.8%. Mean physiological score 
was 16.07 ± 3.30. Mean operative score was 13.67 ± 3.42. Mean operative score rose to 
20.28 ± 2.52 for the complex major operation (p < 0.001) with 2 fold increase in morbidity 
and 3.5 fold increase in mortality. For groups of patients with a physiological score of (less 
than or equal to) 18, the O:P 
• (observed to Predicted) morbidity ratio was 1.3–1.4 and, with a physiological score of >18, 
the O:P ratio was nearer to 1. Physiological score and white cell count were significant in a 
multivariate model. 
• Conclusion: P-POSSUM underestimated the mortality rate. While P-POSSUM analysis gave 
a truer prediction of morbidity, underestimation of morbidity and potential for systematic 
inaccuracy in prediction of complications at lower risk levels is a significant issue for 
pancreatic surgery.
American Journal of Surgery - Volume 194, Issue 2 (August 2007) - 
Estimation of physiologic ability and surgical stress (E-PASS) as a predictor of immediate 
outcome after elective abdominal aortic aneurysm surgery 
Tjun Tang,Stewart R. Walsh,Thomas R. Fanshawe, Jonathan H. Gillard,Umar Sadat, 
Kevin Varty, Michael E. Gaunt, Jonathan R. Boyle. 
• Haga et al [10] derived and validated the Estimation of Physiologic Ability and 
Surgical Stress (E-PASS) scoring system for risk stratification of patients 
undergoing elective general gastrointestinal (GI) surgery. Furthermore, it has been 
externally validated in a different geographical setting from where it was 
originally developed and has been shown to be reproducible in accurately 
predicting outcome following elective GI surgery [11]. This system comprises a 
pre-operative risk score (PRS), a surgical stress score (SSS), and a comprehensive 
risk score (CRS), which is calculated from the PRS and SSS. E-PASS was based on 
the premise that morbidity and mortality rates can be correlated with the 
patient’s physiologic risk and the surgical stress applied. Surgical stress can be 
estimated, in general, because tissue destruction, bleeding and ischemia caused 
by basic surgical techniques produce inflammatory cytokines, which are thought 
to be an underlying mechanism in the development of organ failure following a 
surgical insult [12].
• [10] Haga Y., Ikei S., Ogawa M.: Estimation of Physiologic Ability and 
Surgical Stress (E-PASS) as a new prediction scoring system for post-operative 
morbidity and mortality following gastrointestinal surgery. 
Surg Today 29. 219-225.1999; 
[11] Oka Y., Nishijima J., Oku K., et al: Usefulness of an Estimation of 
Physiologic Ability and Surgical Stress (E-PASS) scoring system to predict 
the incidence of postoperative complications in gastrointestinal surgery. 
World J Surg 29. 1029-1033.2005; 
[12] Ogawa M.: Mechanisms of the development of organ failure 
following surgical insult: the “second attack” theory. Clin Intens 
Care 7. 34-38.1996; 
[13] Haga Y., Ikei S., Wada Y., et al: Evaluation of an Estimation of 
Physiologic Ability and Surgical Stress (E-PASS) scoring system to predict 
postoperative risk: a multicenter prospective study. Surg Today 31. 569- 
574.2001;
Incidence of mortality and morbidity accordingto CRS. The graph appears to 
demonstrate that patients in the ≥1.0 categoryare at particularly high risk 
of mortality, and in the .5 to <1.0 and ≥1.0categories at particularly high risk 
of morbidity. Bars show 95% confidence intervals Estimation of physiologic ability and 
surgical stress (E-PASS) as a predictor of immediate outcome after elective abdominal aortic aneurysm 
surgery
Estimation of physiologic ability and surgical stress (E-PASS) as a predictor of immediate outcome after 
elective abdominal aortic aneurysm surgery
Estimation of physiologic ability and surgical stress (E-PASS) as a predictor of 
immediate outcome after elective abdominal aortic aneurysm surgery 
• Risk adjustment is important in comparative audit and in general, models of adverse outcome are 
formed using logistic regression as the statistical technique. Unfortunately, the current scoring 
systems that have been developed to assess postoperative mortality and morbidity involve collection 
of numerous variables and therefore databases are likely to be incomplete [22], [23]. The Physiological and 
Operative Severity Score for the enUmeration of Mortality and Morbidity (POSSUM) [24] has been 
proposed as a predictor equation of complications and mortality taking into account differences in 
case-mix. A major drawback of the POSSUM approach is that it requires up to 19 perioperative 
physiologic data items per patient, which are not necessarily collected as part of routine clinical care. 
Furthermore, it was criticized because it overpredicted the mortality rate of patients at low risk [25]. 
Portsmouth-POSSUM and Vascular-POSSUM, although more accurate predictors of death than 
POSSUM in vascular patients, have not been shown to be robust in different geographic locations [26], [27]. 
E-PASS has also been compared to POSSUM and P-POSSUM in elective GI surgery, which revealed that 
although both systems had significant correlations with the observed rates of postoperative 
complications, the POSSUM equations overpredicted mortality [28].
Estimation of physiologic ability and surgical stress (E-PASS) as 
a predictor of immediate outcome after elective abdominal 
aortic aneurysm surgery 
• We have started to prospectively compare E-PASS with the different POSSUM predictor 
equations in vascular surgery to evaluate its usefulness in defining quality of care. 
Undoubtedly, the practical logistics associated with collecting such a large dataset in the 
POSSUM models have been one of the main factors inhibiting their universal adoption 
by vascular surgeons. E-PASS uses far fewer variables and therefore has obvious 
advantages over POSSUM in amount of data entry needed and the complexity of the 
analysis. We have found that the CRS can be quickly calculated immediately after the 
operation and the different parameters to calculate PRS and SSS were relatively easy to 
collect, as demonstrated by the low number of cases excluded. The POSSUM scoring 
system can only be used as a prediction guideline if the physiology-only equations are 
used. Generally, the estimated mortality rates can be determined only after the 
pathologic results are known [24]. Moreover POSSUM devised for exponential analysis 
does not provide accurate predicted mortality rates for individual patients. The E-PASS 
model was developed originally as a prediction guideline for decision-making and 
therefore the estimated mortality rates can be computed easily after an operation. It 
was previously reported that E-PASS was useful in estimating surgical costs in GI surgery 
[29]. CRS had a significant positive correlation to the duration and costs of hospital stay. 
They showed an equation for estimating surgical costs and compared a real to 
estimated costs among hospitals, proposing a risk-based payment system because 
hospitals that treat more high-risk patients would not only show higher mortality and 
morbidity rates but also surgical costs of hospital stay. Although not performed in this
Estimation of physiologic ability and surgical stress (E-PASS) as a predictor of 
immediate outcome after elective abdominal aortic aneurysm surgery 
• The strong correlation between PRS and outcome (P < .0001 for mortality and 
morbidity) may allow the vascular surgeon to predict risk in an individual patient 
before surgery. Furthermore, this risk can be discussed confidently with both 
patient and relatives while gaining informed consent. If the risk predicted by PRS is 
too high for a patient, a less invasive procedure such as endovascular stenting or 
conservative management may be considered. The fact that PRS, on an individual 
basis, was extremely powerful in predicting mortality and morbidity ranges may 
allow for the reduction of data required for a national vascular database without 
compromising the statistical basis of comparative audit. Prytherch et al were able to 
successfully model surgical outcomes in arterial surgery using a minimal dataset of 
blood tests known as “VBHOM” (vascular biochemistry and hematology outcome 
models) [3]. This has the advantage that it is universal in its application and does 
not require operative data. Many models like POSSUM suffer from the same 
weakness, which is, by definition, that they exclude patients who were either not 
offered or refused surgery. The PRS component of E-PASS, in the future, may be 
developed and validated like VBHOM to overcome this problem.
• Estimation of Physiologic Ability and 
Surgical Stress (E-PASS) scoring 
system: 
• E-PASS=a pre-operative risk score (PRS), a 
surgical stress score (SSS), and a 
comprehensive risk score (CRS), which is 
calculated from the PRS and SSS. 
• CRS=PRS+SSS 
• E-PASS=K*CRS
equations of the E-PASS scoring 
system 
• The equations of the E-PASS scoring system are as follows (data from Haga et al1): 
(1) Estimation of physiologic ability and surgical stress (E-PASS) 
as a predictor of immediate outcome after elective 
abdominal aortic aneurysm surgery
equations of the E-PASS scoring system are as follows (data from 
Haga et al1): 
• (1) PRS = -0.0686 + 0.00345X1 +0.323X2 
+0.205X3 
+0.153X4 +0.148X5 +0.0666X6, 
where X1 is age; X2, the presence (1) or absence 
(0) of severe heart disease; X3, the presence (1) 
or absence (0) of severe pulmonary disease; X4, 
the presence (1) or absence (0) of diabetes 
mellitus; X5, the performance status index 
(range, 0-4); and X6, the American Society of 
Anesthesiologists' physiological status 
classification (range, 1-5).
• (1) PRS = -0.0686 + 0.00345X1 +0.323X2 
+0.205X3 
+0.153X4 +0.148X5 +0.0666X6, 
dove: X1 è etò, X2,la presenza (1) o assenza (0) 
di malattia cardiaca severa; X3 
la presenza (1) o 
assenza (0)di malattia polmonare severa; X4, la 
presenza (1) o assenza (0) di diabete mellitus; 
X5, il performance status index (range, 0-4); X6, 
la classificazione di stato fisico della American 
Society of Anesthesiologists (ASA Ps) (range, 1- 
5).
• Severe heart disease is defined as heart failure of New York Heart 
Association class III or IV or severe arrhythmia requiring mechanical 
support. 
• Severe pulmonary disease is defined as any condition with a percentage 
vital capacity of less than 60% and/or a percentage forced expiratory 
volume in 1 second of less than 50%. 
• Diabetes mellitus is defined according to the World Health Organization 
criteria. 
• Performance status index is defined by the Japanese Society for Cancer 
Therapy.
SSS:surgical stress core 
• (2) SSS = -0.342 + 0.0139X1 +0.0392X2 +0.352X3, 
where X1 is blood loss (in grams) divided by 
body weight (in kilograms); X2, the operating 
time (in hours); and X3, the extent of the skin 
incision (0 indicates a minor incision for 
laparoscopic or thoracoscopic surgery, 
including laparoscopic- or thoracoscopic-assisted 
surgery; 1, laparotomy or 
thoracotomy alone; and 2, laparotomy and 
thoracotomy). 
(
• 2) SSS = -0.342 + 0.0139X1 +0.0392X2 +0.352X3, 
dove X1 è la perdita ematica (in grammi) diviso 
per il peso corporeo (in kg); X2, tempo 
operatorio ( h); X3, l’estensione della incisione 
cutanea: (0 indica una incisione minore 
laparoscopica o toracoscopica; 1, laparotomia 
o toracototomia da sole ; 2, laparotomia e 
toracotomia
comprehensive risk score (CRS) 
• 3) CRS = -0.328 + (0.936 x PRS) + (0.976 x SSS).
Esempio di di EPass 
• 70 anni 
• Copd 
• Iperteso 
• Gastrtect 5 h,perdite 800 ml stimate……. 
• PRS = -0.0686 + 0.00345*70+0.323*0 
+0.205*1 +0.153X4 
+0.148*??X5 +0.0666*3,assumiamo X5=1… 
• PRS=3,49 
• SSS =0,4345 
• CRS = -0.328 + (3,26) + (0,4240).=3,35 ,cioè mortalità 
0-5%,morbilità 44%
Quality Assessment in High-Acuity Surgery 
Volume and Mortality Are Not Enough 
Charles M. Vollmer, Jr, MD; Wande Pratt, BA; Tsafrir Vanounou, MD, MBA; 
Shishir K. Maithel, MD; Mark P. Callery, MD 
• Expected Morbidity 
• Expected morbidity was predicted for each of the 296 consecutive 
• patients in the following manner. In accordance with 
• POSSUM, 12 physiologic and 6 operative variables were prospectively 
• recorded for each patient undergoing pancreatic resection. 
• 16 Physiologic variables included patient age, Glasgow 
• coma score, the presence of cardiac and respiratory symptoms, 
• vital signs (systolic blood pressure and pulse), serum biochemistry 
• evaluation (urea nitrogen, sodium, and potassium 
• levels), hematologic investigation (white blood cell count and 
• hemoglobin level), and electrocardiographic and chest radiographic 
• findings. Operative variables included the magnitude 
• of the operation, the number of operations performed within 
• 30 days, intraoperative blood loss, the degree of peritoneal contamination, 
• the presence or absence of malignancy, and the timing
The value of Modified Early Warning Score (MEWS) in surgical in-patients: a 
prospective observational study J GARDNER-THORPE1, N LOVE2, J 
WRIGHTSON2, S WALSH1, N KEELING2 
• 1Department of Surgery, Addenbrooke’s Hospital, Cambridge, UK 
• 2Department of Surgery, West Suffolk Hospital, Bury St Edmunds, UK 
• INTRODUCTION The Modified Early Warning Score (MEWS) is a simple, physiological 
score that may allow improvement in the quality and safety of management 
provided to surgical ward patients. The primary purpose is to prevent delay in 
intervention or 
• transfer of critically ill patients. 
• PATIENTS AND METHODS A total of 334 consecutive ward patients were 
prospectively studied. MEWS were recorded on all patients and the primary end-point 
was transfer to ITU or HDU. 
• RESULTS Fifty-seven (17%) ward patients triggered the call-out algorithm by scoring 
four or more on MEWS. Emergency patients were more likely to trigger the system 
than elective patients. Sixteen (5% of the total) patients were admitted to the ITU or 
• HDU. MEWS with a threshold of four or more was 75% sensitive and 83% specific for 
patients who required transfer to ITU or HDU. 
• CONCLUSIONS The MEWS in association with a call-r
Faraday, Nauder M.D. *; Martinez, Elizabeth A. M.D. +; Scharpf, Robert B. M.S. ++; Kasch-Semenza, 
Laura M.S. [S]; Dorman, Todd M.D. *; Pronovost, Peter J. M.D., Ph.D. *; Perler, Bruce M.D. [//]; 
Gerstenblith, Gary M.D. #; Bray, Paul F. M.D. **; Fleisher, Lee A. M.D. ++ Platelet Gene Polymorphisms 
and Cardiac Risk Assessment in Vascular Surgical Patients. Anesthesiology. 101(6):1291-1297, 
December 2004. 
• Abstract 
• Background: Current perioperative cardiac risk assessment tools use historic 
and surgical factors to stratify patient risk. Polymorphisms in platelet 
glycoprotein (GP) IIIa and GPIb[alpha] are associated with myocardial ischemic 
risk in nonsurgical settings, but their relation to perioperative ischemia is 
unclear. The authors hypothesized that platelet genotype would be an 
independent predictor of postoperative myocardial ischemia and would 
improve risk assessment when added to clinical factors. 
• Methods: One hundred ninety-six patients who underwent infrainguinal, 
abdominal aortic, or thoracoabdominal vascular surgery were evaluated for 
clinical and genetic factors that might predict the development of 
postoperative myocardial ischemia. Genomic DNA was genotyped for the 
Leu33Pro polymorphism of GPIIIa and the Thr145Met polymorphism of 
GPIb[alpha]. Myocardial ischemic outcome was determined by review of the 
medical record for cardiac death or myocardial infarction and by surveillance 
troponin I and automated continuous 12-lead electrocardiographic analysis.
Faraday, Nauder M.D. *; Martinez, Elizabeth A. M.D. +; Scharpf, Robert B. M.S. ++; 
Kasch-Semenza, Laura M.S. [S]; Dorman, Todd M.D. *; Pronovost, Peter J. M.D., 
Ph.D. *; Perler, Bruce M.D. [//]; Gerstenblith, Gary M.D. #; Bray, Paul F. M.D. **; 
Fleisher, Lee A. M.D. ++ Platelet Gene Polymorphisms and Cardiac Risk Assessment 
in Vascular Surgical Patients. Anesthesiology. 101(6):1291-1297, December 2004. 
• Results: Sixty-five patients (33%) experienced one or more ischemic 
endpoints (2% death, 5% myocardial infarction, 20% troponin+, 22% 
electrocardiogram+). The Pro33 (adjusted odds ratio [OR], 2.4 [95% 
confidence interval, 1.2–6.2]) and Met145 (OR 3.4 [1.4–9.3]) genotypes 
were independent predictors of composite ischemic outcome by 
multivariate regression, as were diabetes mellitus (OR 4.0 [1.7–12.5]), 
abdominal aortic surgery (OR 4.1 [1.7–14.4]), and thoracoabdominal 
aortic surgery (OR 6.4 [2.7–23.8]). The addition of platelet gene 
polymorphisms to clinical factors improved fit (likelihood ratio testing chi-square 
= 13.5, P < 0.001) of an ischemia prediction model. The derived risk 
assessment tool had a receiver operator characteristic curve of 0.73 
(0.65–0.81) compared with 0.64 (0.57–0.74) for a model excluding genetic 
factors (P = 0.04). A significant relation between the GPIb[alpha] 
polymorphism and ischemic outcome remained after excluding 
electrocardiographic ischemia from the composite endpoint.
Szekely, Andrea MD, PhD, DEAA; Balog, Piroska PhD; Benko, Erzsebet MD; Breuer, 
Tamas MD; Szekely, Judit MD; Kertai, Miklos D. MD, PhD; Horkay, Ferenc MD, PhD; 
Kopp, Maria S. MD, PhD; Thayer, Julian F. PhD Anxiety Predicts Mortality and 
Morbidity After Coronary Artery and Valve Surgery-A 4-Year Follow-Up Study. 
Psychosomatic Medicine. 69(7):625-631, September 2007 
• . Objective: To explore the long-term effect of anxiety and depression on outcome 
after cardiac surgery. To date, the relationship between psychosocial factors and 
future cardiac events has been investigated mainly in population-based studies, in 
patients after cardiac catheterization or myocardial infarction. 
• Methods: In total, 180 patients who underwent cardiac surgery using 
cardiopulmonary bypass were prospectively studied and followed up for 4 years. 
Anxiety (Spielberger State-Trait Anxiety Inventory, STAI-S/STAI-T), depression 
(Beck Depression Inventory, BDI), living alone, and education level along with 
clinical risk factors and perioperative characteristics were assessed. Psychological 
self-report questionnaires were completed preoperatively and 6, 12, 24, 36, and 
48 months after discharge. Clinical end-points were mortality and cardiac events 
requiring hospitalization during follow-up. 
• Results: Average preoperative STAI-T score was 44.6 +/- 10. Kaplan-Meier analysis 
showed a significant effect of preoperative STAI-T >45 points (p = .008) on 
mortality. In multivariate models, postoperative congestive heart failure (OR: 10.8; 
95% confidence interval [CI]:2.9-40.1; p = .009) and preoperative STAI-T (score OR: 
1.07; 95% CI: 1.01-1.15; p = .05) were independently associated with mortality. 
The occurrence of cardiovascular hospitalization was independently associated 
with postoperative intensive care unit days (OR: 1.41; 95% CI: 1.01-1.96; p = .045)
BAYRAM, AHMET SAMI; CANDAN, TARIK; GEBITEKIN, CENGIZ Preoperative maximal 
exercise oxygen consumption test predicts postoperative pulmonary morbidity 
following major lung resection. Respirology. 12(4):505-510, July 2007 
• Background and objective: Pulmonary resection carries a significant morbidity and 
mortality. The utility of maximal oxygen uptake test (VO2max) to predict 
cardiopulmonary complications following major pulmonary resection was 
evaluated. 
• Methods: Following standard preoperative work-up and VO2max testing, 55 
patients (49 male; mean age 59 years, range 20-74) underwent major pulmonary 
surgery: lobectomy (n = 31), bilobectomy (n = 6) and pneumonectomy (n = 18). An 
investigator blinded to the preoperative assessment prospectively collected data 
on postoperative cardiopulmonary complications. Patients were divided into two 
groups according to preoperative VO2max and also according to FEV1. The 
frequency of postoperative complications in the groups was compared. 
• Results: Complications were observed in 19 (34.5%) patients, 11 of which were 
pulmonary (20%). There were two deaths (3.6%), both due to respiratory failure. 
Preoperative FEV1 failed to predict postoperative respiratory complications. Five of 
36 patients with a preoperative FEV1 > 2 L suffered pulmonary complications, 
compared with six of 19 patients with FEV1 < 2 L. Cardiopulmonary complications
• Max VO2 < 15 ml/kg indica aumento di 
morbilità dopo interv.sul polmone
Wei, A. C. 1; Poon, R. Tung-Ping 2; Fan, S.-T. 2; Wong, J. 2 Risk 
factors for perioperative morbidity and mortality after extended 
hepatectomy for hepatocellular carcinoma. British Journal of 
Surgery. 90(1):33-41, January 2003. 
• Background: Extended hepatectomy with resection of more than four segments is a 
high-risk operation, especially in patients with hepatocellular carcinoma (HCC) 
associated with chronic liver disease. This study evaluated the risk factors for morbidity 
and mortality following extended hepatectomy for HCC. 
• Methods: Preoperative and intraoperative variables of 155 patients who underwent 
extended hepatectomy for HCC were analysed to identify risk factors for postoperative 
morbidity and mortality. 
• Results: The overall morbidity rate was 55[middle dot]5 per cent (n = 86). Most 
morbidity was due to ascites or pleural effusion. Significant life-threatening 
complications occurred in 20[middle dot]0 per cent (n = 31). The perioperative mortality 
rate was 8[middle dot]4 per cent (n = 13). Multivariate analysis found that portal 
clamping (P = 0[middle dot]023) and perioperative blood transfusion (P < 0[middle 
dot]001) were risk factors for morbidity, whereas perioperative blood transfusion (P < 
0[middle dot]001) was the only risk factor for significant morbidity. Co-morbid illness (P 
= 0[middle dot]019) and perioperative blood transfusion (P = 0[middle dot]004) were 
risk factors for perioperative mortality. 
• Conclusion: Meticulous operative techniques to minimize blood loss and transfusion, 
while avoiding a prolonged Pringle manoeuvre, may help reduce postoperative 
morbidity. Avoidance of perioperative blood transfusion and careful preoperative
Lobo, Suzana M. A. MD; Salgado, Paula F. MD; Castillo, Vania G. T. RN; Borim, 
Aldenis A. MD; Polachini, Carlos A. MD; Palchetti, Jose C. MD; Brienzi, Sergio 
L. A. MD; de Oliveira, Granville G. PhD Effects of maximizing oxygen delivery 
on morbidity and mortality in high-risk surgical patients. Critical Care 
Medicine. 28(10):3396-3404, October 2000 
• Objective: To evaluate the effects of maximizing the oxygen delivery on 
morbidity and mortality in patients >60 yrs of age and/or with chronic 
diseases of vital organs who underwent major elective surgery. 
• Design: Prospective, randomized, controlled trial. 
• Setting: A 24-bed general intensive care unit of a teaching hospital. 
• Patients: Thirty-seven high-risk patients who underwent major surgery. 
• Interventions: The hemodynamic and oxygen transport variables and 
outcomes in 18 patients (control group) treated to maintain normal values 
of oxygen delivery were compared with 19 patients (protocol group) 
treated to maintain "supranormal" values. Therapy in both groups 
consisted of volume expansion and, when necessary, dobutamine to 
reach target values, during the surgery and 24 hrs postoperatively. 
• Measurements and Main Results: We interrupted the study because of a 
significant difference in the 60-day mortality rate. The mortality rate in 
the control group was significantly higher when compared with the 
protocol group (9/18 [50%] vs. 3/19 [15.7%], p < .05). The prevalence of 
clinical and infectious complications was higher in the control group than
• Massimizzazione del traspoprto di O2 con 
dobutamina migliora la prognosi nell’anziano
Klotz, H. P.; Candinas, D.; Platz, A.; Horvath, A.; Dindo, D.; Schlumpf, 
R.; Largiader, F. Preoperative risk assessment in elective general 
surgery. British Journal of Surgery. 83(12):1788-1791, December 
1996. 
• Despite improved surgical techniques there is still a risk of mortality in 
elective general surgery. In a prospective study preoperative data from 
3250 patients were collected and compared with postoperative systemic 
complications, using univariate chi squared analysis. Highly significant (P < 
0.00001) variables were subjected to stepwise logistic regression analysis. 
The severity of operative procedure, higher American Society of 
Anesthesiologists (ASA) grade, symptoms of respiratory disease and 
malignancy were found to be significant risk factors predicting 
postoperative morbidity (P < 0.05). Using these four variables, a simple 
preoperative risk scoring system has been defined. Class A (up to 5 points) 
was defined as a low-risk group (systemic complication rate 5.0 per cent), 
class B (5-7 points) was intermediate risk (systemic complication rate 17.9 
per cent) and class C (8-10 points) was high risk (systemic complication 
rate 33.3 per cent). Patients at high risk for perioperative and 
postoperative complications are more likely to be identified by this 
analysis than by using the ASA classification alone
Fattori di rischio 
Klotz, H. P.; Candinas, D.; Platz, A.; Horvath, A.; Dindo, D.; Schlumpf, R.; Largiader, F. Preoperative 
risk assessment in elective general surgery. British Journal of Surgery. 83(12):1788-1791, December 
1996 
• La severità dell’intervento 
• ASA 
• Sintomi di malattia respiratoria 
• Tumore 
– Classe A:< 5 punti,basso rischio complicazioni sistemiche 
5% 
– Classe B:5-7 punti,rischio intermedio,complicazioni 
sistemiche 17.9% 
– Classe C:8-10 punti ,alto rischio,complicazioni sistemiche 
33.3%
• usinSchouten, Olaf MD a; Poldermans, Don MD, PhD b; Visser, Loes MD b; 
Kertai, Miklos D. MD c; Klein, Jan MD, PhD b; van Urk, Hero MD, PhD a; 
Simoons, Maarten L. MD, PhD c; van de Ven, Louis L. MD, PhD c; 
Vermeulen, Maarten MSc c; Bax, Jeroen J. MD, PhD d; Lameris, Thomas 
W. MD, PhD c; Boersma, Eric PhD c Fluvastatin and bisoprolol for the 
reduction of perioperative cardiac mortality and morbidity in high-risk 
patients undergoing non-cardiac surgery: Rationale and design of the 
DECREASE-IV study. American Heart Journal. 148(6):1047-1052, 
December 2004
Eur J Vasc Endovasc Surg. 2004 Oct;28(4):343-52. Links 
A combination of statins and beta-blockers is independently associated with a reduction in 
the incidence of perioperative mortality and nonfatal myocardial infarction in patients 
undergoing abdominal aortic aneurysm surgery. 
Kertai MD, Boersma E, Westerhout CM, Klein J, Van Urk H, Bax JJ, Roelandt JR, Poldermans D 
. 
• Department of Cardiology, Erasmus MC, 
Rotterdam, The Netherlands. 
• OBJECTIVE: To investigate the combined 
beneficial effect of statin and beta-blocker use 
on perioperative mortality and myocardial 
infarction (MI) in patients undergoing 
abdominal aortic aneurysm surgery (AAA). 
BACKGROUND: Patients undergoing elective 
AAA-surgery identified by clinical risk factors 
and dobutamine stress echocardiography 
(DSE) as being at high-risk often have
Eur J Vasc Endovasc Surg. 2004 Oct;28(4):343-52. Links 
A combination of statins and beta-blockers is independently associated with a 
reduction in the incidence of perioperative mortality and nonfatal myocardial 
infarction in patients undergoing abdominal aortic aneurysm surgery. 
Kertai MD, Boersma E, Westerhout CM, Klein J, Van Urk H, Bax JJ, Roelandt JR, 
Poldermans D. 
• 570 pazienti sottoposti a chirurgic dell’aorta addominale 
• Perioperative mortality or MI occurred in 51 (8.9%) patients. 
• Perioperative mortality or MI significantly lower in statin users compared 
to nonusers (3.7% vs. 11.0%; crude odds ratio (OR): 0.31, 95% confidence 
interval (CI): 0.13-0.74; p=0.01). 
• Beta-blocker use was also associated with a significant reduction in the 
composite endpoint (OR: 0.24, 95% CI: 0.11-0.54). 
• Patients using a combination of statins and beta-blockers appeared to be 
at lower risk for the composite endpoint across multiple cardiac risk strata; 
particularly patients with 3 or more risk factors experienced 
significantly lower perioperative events. CONCLUSIONS: A 
combination of statin and beta-blocker use in patients with AAA-surgery is 
associated with a reduced incidence of perioperative mortality and 
nonfatal MI particularly in patients at the highest risk. 
•
PhD; Eaton, Charles B. MD; Poses, Roy M. MD; Uttley, Georgette 
RN; Sharma, Satish C. MD; Vezeridis, Michael MD; Khuri, Shukri F. 
MD; Friedmann, Peter D. MD Preoperative Hematocrit Levels and 
Postoperative Outcomes in Older Patients Undergoing Noncardiac 
Surgery. JAMA. 297(22):2481-2488, June 13, 2007 • . Context: Elderly patients are at high risk of both abnormal hematocrit values and cardiovascular 
complications of noncardiac surgery. Despite nearly universal screening of patients for abnormal 
preoperative hematocrit levels, limited evidence demonstrates the adverse effects of preoperative 
anemia or polycythemia. 
• Objective: To evaluate the prevalence of preoperative anemia and polycythemia and their effects on 
30-day postoperative outcomes in elderly veterans undergoing major noncardiac surgery. 
• Design: Retrospective cohort study using the VA National Surgical Quality Improvement Program 
database. Based on preoperative hematocrit levels, we stratified patients into standard categories of 
anemia (hematocrit <39.0%), normal hematocrit (39.0%-53.9%), and polycythemia (hematocrit 
>=54%). We then estimated increases in 30-day postoperative cardiac event and mortality risks in 
relation to each hematocrit point deviation from the normal category. 
• Setting and Patients: A total of 310 311 veterans aged 65 years or older who 
underwent major noncardiac surgery between 1997 and 2004 in 132 Veterans' 
Affairs medical centers across the United States.
Wu, Wen-Chih MD; Schifftner, Tracy L. MS; Henderson, William G. PhD; Eaton, Charles 
B. MD; Poses, Roy M. MD; Uttley, Georgette RN; Sharma, Satish C. MD; Vezeridis, 
Michael MD; Khuri, Shukri F. MD; Friedmann, Peter D. MD Preoperative Hematocrit 
Levels and Postoperative Outcomes in Older Patients Undergoing Noncardiac Surgery. 
JAMA. 297(22):2481-2488, June 13, 2007 
• Main Outcome Measures: The primary outcome measure was 30-day 
postoperative mortality; a secondary outcome measure was composite 30- 
day postoperative mortality or cardiac events (cardiac arrest or Q-wave 
myocardial infarction). 
• Results: Thirty-day mortality and cardiac event rates increased 
monotonically, with either positive or negative deviations from normal 
hematocrit levels. We found a 1.6% (95% confidence interval, 1.1%-2.2%) 
increase in 30-day postoperative mortality associated with every 
percentage-point increase or decrease in the hematocrit value from the 
normal range. Additional analyses suggest that the adjusted risk of 30-day 
postoperative mortality and cardiac morbidity begins to rise when 
hematocrit levels decrease to less than 39% or exceed 51%. 
• Conclusions: Even mild degrees of preoperative anemia or polycythemia 
were associated with an increased risk of 30-day postoperative mortality 
and cardiac events in older, mostly male veterans undergoing major 
noncardiac surgery. Future studies should determine whether these findings 
are reproducible in other populations and if preoperative management of
Wu, Wen-Chih MD; Schifftner, Tracy L. MS; Henderson, William G. PhD; Eaton, Charles 
B. MD; Poses, Roy M. MD; Uttley, Georgette RN; Sharma, Satish C. MD; Vezeridis, 
Michael MD; Khuri, Shukri F. MD; Friedmann, Peter D. MD Preoperative Hematocrit 
Levels and Postoperative Outcomes in Older Patients Undergoing Noncardiac Surgery. 
JAMA. 297(22):2481-2488, June 13, 2007 
• Anche piccole deviazioni da un HCT normale 
influenzano morbilità e mortalità nel paz 
anziano……….
Murray, P. 1,*; Whiting, P. 1; Hutchinson, S. P. 1; Ackroyd, R. 2; 
Stoddard, C. J. 2; Billings, C. 3 Preoperative shuttle walking 
testing and outcome after oesophagogastrectomy. BJA: British 
Journal of Anaesthesia. 99(6):809-811, December 2007. 
• Background: Objective assessment of cardiorespiratory reserve has been 
recommended before major surgery to identify patients with impaired oxygen 
delivery who may be at increased operative risk. Access to formal 
cardiopulmonary exercise (CPX) testing is limited outside larger centres. Following 
a previous audit of morbidity and mortality after oesophagectomy, we decided to 
add a simpler form of exercise test to our preoperative screen and review the 
outcomes. 
• Methods: Fifty-one patients who had surgical resection of an oesophageal cancer 
in our unit between April 2002 and April 2005 carried out an incremental shuttle 
walk exercise test before operation. Thirty-day outcome data were collected for 
each patient. 
• Results: Overall mortality in the group was 10%. No patient who walked 350 m or 
more died within 30 days. Five of the eight patients who could not achieve this 
distance died and two others remained in the critical care unit at 30 days. 
• Conclusion: Preoperative shuttle walk testing using a standard protocol appears to 
be a sensitive indicator of operative risk in this group of patients. The apparent 
threshold value of 350 m is consistent with previously reported measures of 
functional capacity obtained using formal CPX testing
Murray, P. 1,*; Whiting, P. 1; Hutchinson, S. P. 1; Ackroyd, R. 2; 
Stoddard, C. J. 2; Billings, C. 3 Preoperative shuttle walking 
testing and outcome after oesophagogastrectomy. BJA: British 
Journal of Anaesthesia. 99(6):809-811, December 2007. 
• Mortalità e ricoveri prolungati nei pazienti 
candidati ad esofagectomia che non 
camminano > 350 m.
• Dillioglugil, Ozdal; Leibman, Bryan D.; 
Leibman, Neville S.; Kattan, Michael W.; 
Rosas, Alejandro L.; Scardino, Peter T. Risk 
Factors for Complications and Morbidity After 
Radical Retropubic Prostatectomy. Journal of 
Urology. 157(5):1760-1767, May 1997. 
Purpose: With recognition of the efficacy of 
surgical therapy for prostate cancer, there has 
been a marked increase in the number of 
radical prostatectomies performed, and 
substantial changes in surgical technique and
Prostatectomia radicale retropubica: 
Dillioglugil, Ozdal; Leibman, Bryan D.; Leibman, Neville S.; Kattan, Michael W.; Rosas, Alejandro L.; 
Scardino, Peter T. Risk Factors for Complications and Morbidity After Radical Retropubic Prostatectomy. 
Journal of Urology. 157(5):1760-1767, May 1997 
• Complicanze maggiori e mortalità 
associate con: 
• ASA 
• Perdite ematiche intraop
Bennett-Guerrero, Elliott M.D. *; Panah, Michael H. M.D. +; Robin Barclay, G. 
Ph.D. ++; Bodian, Carol A. Dr.P.H. [S]; Winfree, Wanda J. B.S.N. [//]; Andres, 
Lewis A. B.S. #; Reich, David L. M.D. **; Mythen, Michael G. M.D. ++ 
Decreased Endotoxin Immunity Is Associated with Greater Mortality and/or 
Prolonged Hospitalization after Surgery. Anesthesiology. 94(6):992-998, June 
2001 
• Background: Patients undergoing noncardiac surgery often develop postoperative 
morbidity, potentially attributable to endotoxemia and the systemic inflammatory response 
syndrome. Endogenous antibodies to endotoxin may confer protection from endotoxin-mediated 
toxicity. The authors sought to determine the association of preoperative 
antiendotoxin immunity and death or prolonged hospitalization in a broad population of 
general surgical patients undergoing major surgery. 
• Methods: To test the hypothesis that low preoperative serum antiendotoxin core antibody 
(EndoCAb) concentration is an independent predictor of adverse outcome after general 
surgery, 1,056 patients undergoing routine noncardiac surgery were enrolled into a 
prospective, blinded, cohort study. Immunoglobulin M EndoCAb, immunoglobulin G 
EndoCAb, total immunoglobulin M, and immunoglobulin G concentrations were measured in 
serum obtained preoperatively. A physiologic risk score using the established POSSUM 
criteria was assigned preoperatively to each patient. The primary predefined composite end 
point (postoperative complication) was either in-hospital death or postoperative length of 
stay greater than 10 days. Multivariate logistic regression was used to test the study 
hypothesis.
Bennett-Guerrero, Elliott M.D. *; Panah, Michael H. M.D. +; Robin Barclay, G. Ph.D. ++; 
Bodian, Carol A. Dr.P.H. [S]; Winfree, Wanda J. B.S.N. [//]; Andres, Lewis A. B.S. #; 
Reich, David L. M.D. **; Mythen, Michael G. M.D. ++ Decreased Endotoxin Immunity Is 
Associated with Greater Mortality and/or Prolonged Hospitalization after Surgery. 
Anesthesiology. 94(6):992-998, June 2001 
• Results: Overall, postoperative complication occurred in 234 of the 1,056 
patients (22.1%). Lower immunoglobulin M EndoCAb concentration (P = 
0.006) predicted increased risk of postoperative complication 
independent of POSSUM physiologic risk score (P < 0.001). In contrast, 
total immunoglobulin M and total immunoglobulin G concentrations did 
not predict adverse outcome. Complications involved multiple organ 
systems and were generally unrelated to the type or site of surgery, 
consistent with the systemic inflammatory response syndrome. 
• Conclusions: Adverse outcome after routine noncardiac surgery is 
common and is predicted in part by low concentrations of EndoCAb. The 
authors' findings suggest that endotoxemia may be a cause of 
postoperative morbidity after routine noncardiac surgery
Bennett-Guerrero, Elliott M.D. *; Panah, Michael H. M.D. +; Robin Barclay, G. Ph.D. ++; 
Bodian, Carol A. Dr.P.H. [S]; Winfree, Wanda J. B.S.N. [//]; Andres, Lewis A. B.S. #; 
Reich, David L. M.D. **; Mythen, Michael G. M.D. ++ Decreased Endotoxin Immunity Is 
Associated with Greater Mortality and/or Prolonged Hospitalization after Surgery. 
Anesthesiology. 94(6):992-998, June 2001 
• low preoperative serum antiendotoxin core 
antibody (EndoCAb) concentration is an 
independent predictor of adverse outcome
• Lower immunoglobulin M EndoCAb 
concentration (P = 0.006) predicted increased 
risk of postoperative complication independent 
of POSSUM physiologic risk score (P < 0.001). In 
contrast, total immunoglobulin M and total 
immunoglobulin G concentrations did not 
predict adverse outcome. Complications 
involved multiple organ systems and were 
generally unrelated to the type or site of 
surgery, consistent with the systemic 
inflammatory response syndrome.
• BERLAUK, JON F. M.D. *; ABRAMS, JEROME H. 
M.D. +; GILMOUR, IAN J. M.D. *; O'CONNOR, 
S. RHIANNON M.D. *; KNIGHTON, DAVID R. 
M.D. +; CERRA, FRANK B. M.D. + Preoperative 
Optimization of Cardiovascular 
Hemodynamics Improves Outcome in 
Peripheral Vascular Surgery. Annals of 
Surgery. 214(3):289-299, September 1991. 
The hypothesis that optimizing hemodynamics 
using pulmonary artery (PA) catheter 
(preoperative 'tune-up') would improve
BERLAUK, JON F. M.D. *; ABRAMS, JEROME H. M.D. +; GILMOUR, IAN J. M.D. *; 
O'CONNOR, S. RHIANNON M.D. *; KNIGHTON, DAVID R. M.D. +; CERRA, FRANK B. 
M.D. + Preoperative Optimization of Cardiovascular Hemodynamics Improves 
Outcome in Peripheral Vascular Surgery. Annals of Surgery. 214(3):289-299, 
September 1991 
Ottimizzazione dell’emodinamica(tune up invasivo con PA 
catetere,ottenuto con riduzione del postcarico,miglioramento 
inotropico e riempimento volemico , in pazienti candidati a 
chirurgia vascolare degli arti inferiori riduceva : 
• eventi avversi intraop 
• morbiditò postop 
• l’incidenza di trombosi dei graft. 
La mortalità generale era del 3.4%, ,ma del 9.5% nel gruppo di controllo e 
dell’ 1.5% nel gruppo trattato .
• PA catheter improves outcome……….
Wiklund, Richard A. MD Preoperative preparation of patients 
with advanced liver disease. Critical Care Medicine. CRITICAL 
SURGICAL ILLNESS: PREOPERATIVE ASSESSMENT AND 
PLANNING. 32(4) Supplement:S106-S115, April 2004. 
• Objective: To review the characteristic features of patients with advanced 
liver disease that may lead to increased perioperative morbidity and 
mortality rates. 
• Design: Literature review. 
• Results: Patients with end-stage liver disease are at high risk of major 
complications and death following surgery. The most common 
complications are secondary to acute liver failure and include severe 
coagulopathy, encephalopathy, adult respiratory distress syndrome, acute 
renal failure, and sepsis. The degree of malnutrition, control of ascites, 
level of encephalopathy, prothrombin time, concentration of serum 
albumin, and concentration of serum bilirubin predict the risk of 
complications and death following surgery. Other determinants of 
adverse outcome include emergency surgery, advanced age, and 
cardiovascular disease. Portal hypertension is a prominent feature of 
advanced liver disease, and it predisposes the patient to variceal 
hemorrhage, hepatorenal syndrome, hepatopulmonary syndrome, and 
uncontrolled ascites. Portal hypertension can be ameliorated by
Fattori di rischio nei pazienti con 
malattia epatica avanzata 
• degree of malnutrition 
• control of ascites 
• level of encephalopathy 
• prothrombin time 
• concentration of serum albumin 
• and concentration of serum bilirubin 
• emergency surgery 
• advanced age 
• cardiovascular disease.
• Risk Assessment for and Strategies To 
Reduce Perioperative Pulmonary 
Complications for Patients Undergoing 
Noncardiothoracic Surgery: A Guideline from 
the American College of Physicians 
• Amir Qaseem, MD, PhD, MHA; Vincenza Snow, MD; Annals of Internal medicine 18 April 2006 | 
Volume 144 Issue 8 | Pages 575-580
• Vedi le considerazioni finali del mio 
scritto………..
Relazione fra ASA PS e complicanze 
polmonari
• Multivariate analysis found that portal 
clamping (P = 0[middle dot]023) and 
perioperative blood transfusion (P < 0[middle 
dot]001) were risk factors for morbidity, 
whereas perioperative blood transfusion (P < 
0[middle dot]001) was the only risk factor for 
significant morbidity. Co-morbid illness (P = 
0[middle dot]019) and perioperative blood 
transfusion (P = 0[middle dot]004) were risk 
factors for perioperative mortality
Strategie tese alla riduzione delle complicanze postop 
• Lawrence VA, Cornell JE, Smetana GW. Strategies to reduce postoperative 
pulmonary complications after noncardiothoracic surgery: systematic review for 
the American College of Physicians. Ann Intern Med. 2005;144:596-608. 
• Tutte le tecniche di espansione polmonare : 
– spirometria incentiva 
– terapia fisica 
– provocazione della tosse 
– drenaggio posturale 
– percussione e vibrazione 
– Aspirazione 
– Deambulazione 
– IPPB 
– CPAP 
• hanno dimostrato superiorità rispetto ai controlli dopo chirurgia addominale. 
• Non differenze fra le diverse modalità di espansione ,né dalla loro combinazione.
decompressione nasogastrica selettiva 
• effettuata nei pazienti con PONV ,incapaci di assumere nutrizione orale o con 
distensione addominale 
– diminuisce la frequenza di polmonite ed atelettasia 
nei confronti della decompression econ sondino 
routinaria ,finche cioè non ritorni la motilità 
gastrointestinale. 
– Cheatham ML, Chapman WC, Key SP, Sawyers JL. A meta-analysis of selective 
versus routine nasogastric decompression after elective laparotomy. Ann Surg. 
1995;221:469-76. 
– Nelson R, Tse B, Edwards S. Systematic review of prophylactic nasogastric 
decompression after abdominal operations. Br J Surg. 2005;92:673-80. 
– Nelson R, Edwards S, Tse B. Prophylactic nasogastric decompression after 
abdominal surgery. Cochrane Database Syst Rev. 2005.
Introduction 
Selection of high-risk surgical patients for preoperative and perioperative 
admission to an intensive therapy unit (ITU) for enhancement of oxygen 
delivery may reduce postoperative morbidity and mortality rates. Limited 
resources may prevent admission of all suitable patients. This study 
examined whether it is possible to select patients most at risk and thus 
reduce surgical morbidity and mortality rates when ITU services are 
limited. Comparison of outcome after colorectal resection among 
different surgeons is difficult. Crude rates of morbidity and mortality can 
be misleading because such rates make no allowance for differences in 
case mix and fitness of patients. Direct comparison of individual surgeon's 
performance based on crude rates of morbidity and mortality can be 
misleading. Risk-adjusted analysis allows more meaningful comparisons
Valutazione del rischio cardiaco 
in chirurgia non cardiaca 
C.Melloni 
Libero professionista 
Consulente di anestesia per Villa Torri,Villa 
Chiara,Poliambulatorio Gynepro 
Bologna
Revised cardiac index 
. Lee TH, Marcantonio ER, Mangione CM, Thomas EJ, Polanczyk CA, Cook EF, 
Sugarbaker DJ, Donaldson MC, Poss R, Ho KK, Ludwig LE, Pedan A, Goldman L: 
Derivation and Prospective Validation of a Simple Index for Prediction of Cardiac 
Risk of Major Noncardiac Surgery. Circulation 1999; 100: 1043-1049 
• • High risk surgery 
• – intraperitoneal, intrathoracic or 
suprainguinal vascular procedures 
• • Ischemic heart disease 
• • H/O CHF 
• • H/O Cerebrovascular disease 
• • Insulin therapy for DM 
• • Preop Cr>2.0mg/dl
• Eagle KA, Berger PB, Calkins H, Chaitman BR, Ewy GA, 
Fleischmann KE, Fleisher LA, Froehlich JB, Gusberg RJ, 
Leppo JA, Ryan T, Schlant RC, Winters WL, Jr., Gibbons 
RJ, Antman EM, Alpert JS,Faxon DP, Fuster V, 
Gregoratos G, Jacobs AK, Hiratzka LF, Russell RO, Smith 
SC, Jr.: ACC/AHA guideline update for perioperative 
cardiovascular evaluation for noncardiac surgery--- 
executive summary a report of the American College of 
Cardiology/American Heart Association Task Force on 
Practice Guidelines (Committee to Update the 1996 
Guidelines on Perioperative Cardiovascular Evaluation 
for Noncardiac Surgery). Circulation 2002;105: 1257-67
Weksler N, Klein M, Szendro G, Rozentsveig V, Schily M, Brill S, 
Tarnopolski A, Ovadia L, Gurman GM: The dilemma of 
immediate preoperative hypertension: to treat and operate, or 
to postpone surgery? J Clin Anesth 2003; 15: 179-83 
• There is a great deal of debate regarding a trigger to delay or cancel a 
surgical procedure in a patient with poorly or untreated hypertension 
• In the absence of end-organ changes, such as renal 
insufficiency or left ventricular hypertrophy with strain, it 
would seem appropriate to proceed with surgery. 
• A randomized trial of treated hypertensive patients without known 
CAD who presented the morning of surgery with an elevated diastolic 
blood pressure was unable to demonstrate any difference in 
outcome between those who were actively treated versus those in 
whom surgery was delayed. 
• In contrast, a patient with a markedly elevated blood pressure and the new 
onset of a headache should have surgery delayed for further evaluation and 
potential treatment..
Howell SJ, Sear YM, Yeates D, Goldacre M, Sear JW, Foëx P. 
Hypertension, admission blood pressure and perioperative 
cardiovascular risk. Anaesthesia 1996;51:1000-1004. 
• A retrospective case-controlled study which 
found that a history of hypertension was an 
important predictor for perioperative cardiac 
death but not admission blood pressure. 
• The study implies that end-organ damage 
resulting from hypertension is the likely villain 
in this group of patients.
• Importance of Surgical Procedure 
• The surgical procedure influences the extent of the preoperative 
evaluation required by determining the potential range of changes 
in perioperative management. There is little hard data to define the 
surgery specific incidence of complications, and the rate may be 
very institution depedendent. Eagle et. al. published data on the 
incidence of perioperative myocardial infarction and mortality by 
procedure for patients enrolled in the coronary artery surgery study 
(CASS).6 Higher risk procedures for which coronary artery bypass 
grafting reduced the risk of noncardiac surgery compared to 
medical therapy include major vascular, abdominal, thoracic, and 
orthopedic surgery. Ambulatory procedures denote low risk. 
Vascular surgery represents a unique group of patients in whom 
there is extensive evidence regarding preoperative testing and 
perioperative interventions.
• Importance of exercise tolerance 
• Exercise tolerance is one of the most important determinants of 
perioperative risk and the need for invasive monitoring. If a patient 
can walk a mile without becoming short of breath, than the 
probability of extensive coronary artery disease is small. 
Alternatively, if patients become dyspneic associated with chest 
pain during minimal exertion, then the probability of extensive 
coronary artery disease is high. Reilly and colleagues demonstrated 
that the likelihood of a serious complication occurring was inversely 
related to the number of blocks that could be walked or flights of 
stairs that could be climbed.7 Exercise tolerance can be assessed 
with formal treadmill testing or with a questionnaire that assesses 
activities of daily living.
• Reilly DF, McNeely MJ, Doerner D, Greenberg 
DL, Staiger TO, Geist MJ, Vedovatti PA, Coffey 
JE, Mora MW, Johnson TR, Guray ED, Van 
Norman GA, Fihn SD: Self-reported exercise 
tolerance and the risk of serious perioperative 
complications. Arch Intern Med 1999; 159: 
2185-92
• Fleisher LA, Beckman JA, Brown KA, Calkins H, Chaikof E, Fleischmann KE, Freeman 
WK, Froehlich JB, Kasper EK, Kersten JR, Riegel B, Robb JF, Smith SC, Jr., Jacobs AK, 
Adams CD, Anderson JL, Antman EM, Faxon DP, Fuster V, Halperin JL, Hiratzka LF, 
Hunt SA, Lytle BW, Nishimura R, Page RL, Riegel B: ACC/AHA 2006 guideline 
update on perioperative cardiovascular evaluation for noncardiac surgery: focused 
update on perioperative beta-blocker therapy: a report of the American College of 
Cardiology/American Heart Association Task Force on Practice Guidelines (Writing 
Committee to Update the 2002 Guidelines on Perioperative Cardiovascular 
Evaluation for Noncardiac Surgery): developed in collaboration with the American 
Society of Echocardiography, American Society of Nuclear Cardiology, Heart 
Rhythm Society, Society of Cardiovascular Anesthesiologists, Society for 
Cardiovascular Angiography and Interventions, and Society for Vascular Medicine 
and Biology. Circulation 2006; 113: 2662-74.
• Yang H, Raymer K, Butler R, Parlow J, Roberts R: The effects of perioperative beta-blockade: 
results of the Metoprolol after Vascular Surgery (MaVS) study, a randomized 
controlled trial. Am Heart J 2006; 152: 983-90 
• Juul AB, Wetterslev J, Gluud C, Kofoed-Enevoldsen A, Jensen G, Callesen T, Norgaard P, 
Fruergaard K, Bestle M, Vedelsdal R, Miran A, Jacobsen J, Roed J, Mortensen MB, 
Jorgensen L, Jorgensen J, Rovsing ML, Petersen PL, Pott F, Haas M, Albret R, Nielsen LL, 
Johansson G, Stjernholm P, Molgaard Y, Foss NB, Elkjaer J, Dehlie B, Boysen K, Zaric D, 
Munksgaard A, Madsen JB, Oberg B, Khanykin B, Blemmer T, Yndgaard S, Perko G, Wang 
LP, Winkel P, Hilden J, Jensen P, Salas N: Effect of perioperative beta blockade in patients 
with diabetes undergoing major non-cardiac surgery: randomised placebo controlled, 
blinded multicentre trial. Bmj 2006; 332: 1482 
• Wallace AW, Galindez D, Salahieh A, Layug EL, Lazo EA, Haratonik KA, Boisvert DM, 
Kardatzke D: Effect of clonidine on cardiovascular morbidity and mortality after 
noncardiac surgery. Anesthesiology 2004; 101: 284-93. 
• Hindler K, Shaw AD, Samuels J, Fulton S, Collard CD, Riedel B: Improved postoperative 
outcomes associated with preoperative statin therapy. Anesthesiology 2006; 105: 1260- 
72. 
Durazzo AE, Machado FS, Ikeoka DT, De Bernoche C, Monachini MC, Puech-Leao P, 
Caramelli B: Reduction in cardiovascular events after vascular surgery with atorvastatin:
• (http://www.acc.org/qualityandscience/clinic 
al/topic/topic.htm).
Key words 
• perioperative risk 
• cardiac risk, 
• noncardiac surgery, 
• intraoperative risk, 
• postoperative risk, 
• risk stratification, 
• cardiac complication, 
• cardiac evaluation, 
• perioperative care, 
• preoperative evaluation, 
• preoperative assessment 
• intraoperative complications.
Scopi della valutazione cardiaca preop 
• 1)identificazione dei pazienti con rischio 
cardiaco troppo alto,non accettabile 
• 2)identificazione dei paz con malattia cardiaca 
che possono essere migliorati o curati preop. 
• 3)identificazione dei pazienti che possono 
beneficiare di intervento di CABG
Come può la visita preop modificare il 
trattamento?
Fattori che determinano il rischio 
cardiaco periop 
• Marcatori clinici 
• Capacità funzionale 
• Intervento chirurgico
• The overriding theme of this document is that intervention is rarely 
necessary to simply lower the risk of surgery unless such 
intervention is indicated irrespective of the preoperative context. 
• The purpose of preoperative evaluation is not to give medical 
clearance but rather to perform an evaluation of the patient’s 
current medical status; make recommendations concerning the 
evaluation, management, and risk of cardiac problems over the 
entire perioperative period; and provide a clinical risk profile that 
the patient, primary physician, and nonphysician caregivers, 
anesthesiologist, and surgeon can use in making treatment 
decisions that may influence short- and long-term cardiac 
outcomes. 
• No test should be performed unless it is likely to influence patient 
treatment. 
• The goal of the consultation is the optimal care of the patient
Condizioni associate ad alto rischio per 
complicanze cardiovascolari 
perioperatorie 
• Presenza dei fattori predittivi di aumentato 
rischio cardiovascolare periop 
• Scarsa capacità funzionale(<4 MET) 
• Chirurgia ad alto rischio (rischio 
cardiovascolare periop > 5%)
Active Cardiac Conditions for Which the Patient 
Should Undergo Evaluation and Treatment Before 
Noncardiac Surgery (Class I, Level of Evidence: B):major 
clinical predictors
Estimated Energy Requirements for Various Activities
Cardiac evaluation and care algorithm for noncardiac surgery based on active 
clinical conditions, known cardiovascular disease, 
or cardiac risk factors for patients 50 years of age or greater. *
• See Table 2 for active clinical conditions. 
• †See Table 3 for estimated MET level equivalent. 
‡Clinical risk factors include ischemic heart disease, 
compensated or prior HF, diabetes mellitus, renal 
insufficiency, and cerebrovascular disease. §Consider 
perioperative beta blockade (see Table 11) for 
populations in which this has been 
shown to reduce cardiac morbidity/mortality. 
ACC/AHA indicates American College of 
Cardiology/American Heart Association; HR, 
heart rate; LOE, level of evidence; and MET, 
metabolic equivalent
Cardiac Risk* Stratification for Noncardiac 
Surgical Procedures
Scopi dei test aggiuntivi 
cardiovascolari 
• Fornire una misura obbiettiva di capacità 
funzionale 
• Identificare una ischemia preop miocardica 
importante 
• Diagnosticare aritmie cardiache rilevanti 
• Stimare il rischio cardiaco periop e definire una prognosi
Dipiridamolo tallio 
• the presence of a redistribution defect on 
dipyridamole thallium imaging in patients 
undergoing peripheral vascular surgery is 
predictive of postoperative cardiac events. In 
order to increase the predictive value of the 
test, several strategies have been suggested. 
Lung uptake, left ventricular cavity dilation, 
and redistribution defect size have all been 
shown to be predictive of subsequent 
morbidity.10
Dobutamine stress test 
• Dobutamine stress echocardiography has been suggested as the best 
preoperative test in several recent meta-analyses.11 The appearance of 
new or worsened regional wall motion 
abnormalities is considered a positive test. The 
advantage of this test is that it is a dynamic assessment of ventricular 
function. Dobutamine echocardiography has also been studied and was 
found to have among the best positive and negative predictive values. 
Poldermans et al. demonstrated that the group at greatest risk were those 
who demonstrated regional wall motion abnormalities at low heart rates.12 
The presence of 5 or more segments of new regional wall motion 
abnormalities denotes a high risk group who did not benefit from 
perioperative beta blockade in one trial.13 Beattie and colleagues 
performed a meta-analysis of stress echocardiography versus thallium 
imaging and demonstrate that stress echocardiography has better negative 
predicative characteristics.11 A moderate-to-large perfusion defect by 
either test predicted postoperative MI and death
Noninvasive Stress Testing 
Recommendations for Noninvasive Stress Testing Before 
Noncardiac Surgery 
• CLASS I 
• 1. Patients with active cardiac conditions (see Table 2) in whom noncardiac surgery is planned should 
be evaluated and treated per ACC/AHA guidelines† before noncardiac surgery. (Level of Evidence: B) 
• CLASS IIa 
• 1. Noninvasive stress testing of patients with 3 or more clinical risk factors and poor functional 
capacity (less than 4 METs) who require vascular surgery‡ is reasonable if it will change management. 
(Level of Evidence: B) 
• CLASS IIb 
• 1. Noninvasive stress testing may be considered for patients with at least 1 to 2 clinical risk factors 
and poor functional capacity (less than 4 METs) who require intermediate-risk noncardiac surgery if it 
will change management. (Level of Evidence: B) 
• 2. Noninvasive stress testing may be considered for patients with at least 1 to 2 clinical risk factors 
and good functional capacity (greater than or equal to 4 METs) who are undergoing vascular surgery. 
(Level of Evidence: B) 
• CLASS III 
• 1. Noninvasive testing is not useful for patients with no clinical risk factors undergoing ntermediate-risk 
noncardiac surgery. (Level of Evidence: C) 
• 2. Noninvasive testing is not useful for patients undergoing low-risk noncardiac surgery. (Level of 
Evidence: C)
Razionale dei test non invasivi preop 
nella valutazione del rischio 
Test non invasivi Paz con valori del 
test anormali 
Valori predittivi per morte o MI periop 
Positivo : negativo 
Monitoraggio ECG 
ambulat 
9-39% 4-15 1-16 
Esercizio con 
monitoraggio ECG 
16-70% 5-25 90-100 
Dipiridamolo-tallio 
Chir vasc 22-69 4-20 95-100 
Chir non vasc 23-47 8-27 98-100 
Eco cardio grafia 
23-50 7-23 93-100 
stress dobutamina
EF preop e outcome cardiaco postop. 
(Franco et al,J Vasc Surg 10;656:1989) 
EF>55% 
EF 35-55% 
N=50 
N=20 
EF 20-35% 
N=15 
MI 19% 15% 20% 
Morte 0 0 13%
Chir vasc dopo 
precedente 
rivascolarizzazio 
ne 
Chir vascolare 
senza prec 
edente 
rivascolarizzazio 
ne 
Complicazioni % Mortalità % Complicazioni % Mortalità % 
angiografia 0.2-0.5 0.1-0.5 - - 
PTCA/CABG 3-13 1-5.5 - - 
Chir vasc 0.3-2 0.3-0.4 0.6-11.7 0.6-10 
Rischio globale 3.5-10.5 1.4-12.4 0.6-11.7 0.8-10 
Ma…….. Le arterie coronarie rivascolarizzate Le stenosi coronariche immodificate 
Diminuiscono il rischio 
cardiovascolare a lungo termine 
Aumentano il rischio cardiaco a 
lungo termine 
Rischio globale a 
lungo termine ?? 
?? 
Sono comparabili?? 
??
Outcome cardiaco per chirurgia 
maggiore non cardiaca Eagle et al,Circulation 1997 96 
1892-7 
N=395 
N=582 
N=964
Cardiac outcome in low risk 
surgery:n=1297
Incidenza di mortalità periop in 
pazienti con CAD(n=1632) Eagle et al 
High risk surgery >=4% Low risk surgery<=4% 
Abdominal 4% Urologic 1.8 
Vascolare 11.3 Orthopedic 1.2 
Thoracic 7.7 Skin 0 
Head neck 7.3 Miscellaneous 3
Cardiac outcome in noncardiac surgery 
following CABG
Class I indications for preop coronary 
angiography in non cardiac surgery 
• High risk results during non invasive testing 
• Amgina pectoris unresponsive to adequate 
medical therapy 
• Most patients with unstable angina pectoris 
• Nondiagnostic or equivocal noninvasive test 
result in a high risk patient undergoing a high 
risk noncardiac surgical procedure
Proposed approach to the management of patients with 
previous percutaneous coronary intervention (PCI) who 
require noncardiac surgery, based on expert opinion
Perioperative Beta-Blocker Therapy 
Recommendations for Beta-Blocker Medical Therapy 
• CLASS I 
• 1. Beta blockers should be continued in patients undergoing surgery who are receiving beta blockers to treat angina, 
symptomatic arrhythmias, hypertension, or other ACC/AHA class I guideline indications. (Level of Evidence: C) 
• 2. Beta blockers should be given to patients undergoing vascular surgery who are at high cardiac risk owing to the 
finding of ischemia on preoperative testing. (Level of Evidence: B) 
• CLASS IIa 
• 1. Beta blockers are probably recommended for patients undergoing vascular surgery in whom preoperative 
assessment identifies CHD. (Level of Evidence: B) 
• 2. Beta blockers are probably recommended for patients in whom preoperative assessment for vascular surgery 
identifies high cardiac risk, as defined by the presence of more than 1 clinical risk factor.* (Level of Evidence: B) 
• 3. Beta blockers are probably recommended for patients in whom preoperative assessment identifies CHD or high 
cardiac risk, as defined by the presence of more than 1 clinical risk factor,* who are undergoing intermediate-risk or 
vascular surgery. (Level of Evidence: B) 
• CLASS IIb 
• 1. The usefulness of beta blockers is uncertain for patients who are undergoing either intermediate-risk procedures or 
vascular surgery, in whom preoperative assessment identifies a single clinical risk factor.* (Level of Evidence: C) 
• 2. The usefulness of beta blockers is uncertain in patients undergoing vascular surgery with no clinical risk factors who 
are not currently taking beta blockers. (Level of Evidence: B) 
• CLASS III 
• 1. Beta blockers should not be given to patients undergoing surgery who have absolute contraindications to beta 
blockade. (Level of Evidence: C)
Indicazioni ai beta bloccanti 
• i betabloccanti devono essere continuati nel periop per coloro che li assumono 
per indicazione di angina,aritmie sitomatiche,ipertensione o altre indicazioni 
delle linee guida ACC/AHA di classe I. 
• i betabloccanti devono essere somministrati ai candidati a chirurgia vascolare ad 
alto rischio cardiaco che presentino ischemia agli esami preop (Livello di evidenza 
B). 
• I beta bloccanti sono poi probabilmente indicati per i candidati a chirurgia 
vascolare nei quali la valutazione preop identifichi coronaropatia e/o un elevato 
rischio cardiaco ,definito come la presenza di più di 1 fattore di rischio clinico 
,anche se vanno incontro a chirurgia classificata come rischio intermedio . 
• l’utilità dei betabloccanti rimane incerta in pazienti candidati a chirurgia di 
rischio intermedio o vascolare con un solo fattore di rischio clinico(Livello di 
evidenza C)e per i candidati a chir vascolare senza fattori di rischio e che non 
stanno assumendo i farmaci( Livello di evidenza B). 
• Ovviamente i betabloccanti non devono essere somministrati a coloro che 
presentano controindicazioni assolute al loro impiego. 
• In conclusione dosaggi terapeutici di betabloccanti devono essere utilizzati in 
pazienti ad alto-intermedio rischio cardiaco
Bisoprolol and perioperative cardiac 
outcome Poldermans et al NEJM 1999;341;1789-94 
Bisoprolol n=59 Standard care n=53 
Cardiac death 2(3,4%) 9(17%) * 
Non fatal MI 0 9(17%) ** 
Total 2(3.4%) 18(34%) ** 
*=p<0.02 **=p<0.01
Beta blockers 
• 1. Beta blockers should be continued in patients undergoing surgery who are 
receiving beta blockers to treat angina, symptomatic arrhythmias, hypertension, 
or other ACC/AHA class I guideline indications. (Level of Evidence: C) 
• 2. Beta blockers should be given to patients undergoing vascular surgery who are 
at high cardiac risk owing to the finding of ischemia on preoperative testing. (Level 
of Evidence: B) 
• CLASS IIa 
• 1. Beta blockers are probably recommended for patients undergoing vascular 
surgery in whom preoperative assessment identifies CHD. (Level of Evidence: B) 
• 2. Beta blockers are probably recommended for patients in whom preoperative 
assessment for vascular surgery identifies high cardiac risk, as defined by the 
presence of more than 1 clinical risk factor.* (Level of Evidence: B) 
• 3. Beta blockers are probably recommended for patients in whom preoperative 
assessment identifies CHD or high cardiac risk, as defined by the presence of more 
than 1 clinical risk factor,* who are undergoing intermediate-risk or vascular 
surgery. (Level of Evidence: B) 
• CLASS IIb 
• 1. The usefulness of beta blockers is uncertain for patients who are undergoing
• In the absence of major contraindications 
therapeutic dosages of beta adrenergic 
antagonists should be given to patients with 
an intermediate or high risk of cardiac 
complications
Periop statin therapy 
• Recommendations for Statin Therapy 
• CLASS I 
• 1. For patients currently taking statins and scheduled for 
noncardiac surgery, statins should be continued. (Level of 
Evidence: B) 
• CLASS IIa 
• 1. For patients undergoing vascular surgery with or without 
clinical risk factors, statin use is reasonable. (Level of 
Evidence: B) 
• CLASS IIb 
• 1. For patients with at least 1 clinical risk factor who are 
undergoing intermediate-risk procedures, statins may be 
considered. (Level of Evidence: C)
terapia preoperatoria con statine 
• La terapia preoperatoria con statine deve 
essere continuata per coloro che le assumono 
già (livello di evidenza B); 
• la loro somministrazione è ragionevole per i 
candidati a chirurgia vascolare con o senza 
fattori di rischio clinici (livello di evidenza B): 
• Le statine possono essere prese in 
considerazione per i pazienti con almeno 1 
fattore di rischio clinico candidati a chirurgia di 
rischio intermedio (livello di evidenza C)
Levels of Thromboembolism Risk in Surgical Patients 
Without Prophylaxis
Livelli di rischio tromboembolico in pazienti senza profilassi 
(Goertz et al 114 AHA/ACC 
DVT PE 
Livello di rischio polpa 
ccio 
prossimale Evento 
clinico 
fatale Strategia di 
prevenzione con 
successo 
Basso: 
Chir minore in paz <40 anni senza fattori 
di rischio 
2 0.4 0.2 <0.01 No 
profilassi,deambulazio 
ne precoce,aggressiva 
Moderata: 
Chir minore in paz con fattori di rischio 
aggiuntivi; 
Chir in paz 40-60 anni senza fattori di 
rischio aggiuntivi 
10-20 2-4 1-2 0.2- 
0.4 
Hep(ogni 12 h),LMWH 
<3400,GCS,IPC 
Alta: 
chir in paz>60 a tra 40-60 con 
FRA(VTE,cancro,ipercoagulabilità 
molecolare) 
20-40 4-8 2-4 0.4-1 HEP ogni 8 
h,LMWH>3400,Ipc 
Altissima: 
Chir in paz con fattori di rischio multipli 
Artroprotesi anca ,ginocchio 
Frattura anca 
Trauma maggiore 
Trauma midollare spinale 
40-80 10-20 4-10 0.2-5 LMWH>3400,fondapar 
inux,Vit K antag p 
os(INR 2-3),IPC o 
GCS+LMWH o Hep 
FRA:fattori di rischio aggiuntivi : 
IPC;cpmpressione penumatica intermittente,
Choice of Anesthetic Technique and 
Agent 
• Recommendations for Use of Volatile 
Anesthetic Agents 
• CLASS Iia 1. It can be beneficial to use volatile 
anesthetic agents during noncardiac surgery 
for the maintenance of general anesthesia in 
hemodynamically stable patients at risk for 
myocardial ischemia. (Level of Evidence: B)
Perioperative Control of Blood Glucose 
Concentration 
• Recommendations for Perioperative Control of Blood 
• Glucose Concentration 
• CLASS IIa 
• 1. It is reasonable that blood glucose concentration be controlled ¶ 
during the perioperative period in patients with diabetes mellitus or 
acute hyperglycemia who are at high risk for myocardial ischemia 
or who are undergoing vascular and major noncardiac surgical 
procedures with planned ICU admission. (Level of Evidence: B) 
• CLASS IIb 
• 1. The usefulness of strict control of blood glucose concentration¶ 
during the perioperative period is uncertain in patients with 
diabetes mellitus or acute hyperglycemia who are undergoing 
noncardiac surgical procedures without planned ICU admission. 
Level of Evidence: C)
Blood glucose control and mortality 
• Poor intraoperative control of blood glucose 
was an independent predictor of severe 
morbidity; mortality rate was increased in 
patients with poorly controlled glucose (11.4%) 
vs those with tightly controlled glucose (2.4%).
Mortality % in diabetic patients with or without glucose 
control 
Glucose controlled Not controlled 
van den Berghe et al 
(496), 2001 
4,6 8 
Ouattara et al (500), 
2005 
2,4 11.4 
McGirt et al (501), 
2006 
2.8-, 4.3-, and 3.3-fold increases in risk 
of stroke/TIA, MI, or death 
Gandhi et al (502), 
2005 
A 20-mg/dL increase in mean intraoperative glucose associated 
with a 30% increase in adverse events. 
Krinsley (505), 2003 42.5% 
among patients with mean glucose values 
in excess of 300 mg/dL. 
Finney et al (499), 
2003 
Increased administration of insulin was an independent 
predictor of ICU mortality; regression models demonstrated 
a mortality benefit if blood glucose was maintained 
< 144 to 200 mg/dL. 
Furnary et al (506), 
2003 
Continuous iv insulin was an 
independent predictor of survival. 
McAlister et al (508), 
2003 
Hyperglycemia was an independent 
predictor of adverse outcomes.
a preoperative risk index for 
predicting postoperative respiratory 
failure (PRF).
Ahsan M. Arozullah, MD, MPH,* Jennifer Daley, MD,† William G. Henderson, PhD,‡ 
and Shukri F. Khuri, MD,§ for the National Veterans Administration Surgical Quality 
Improvement Program Multifactorial Risk Index for Predicting Postoperative 
Respiratory Failure in Men After Major Noncardiac Surgery. ANNALS OF SURGERY 
Vol. • Objective 232, No. 2, 242–253 
• To develop and validate a preoperative risk index for 
predicting postoperative respiratory failure (PRF). 
• prospective cohort study 
• 44 Veterans Affairs Medical Centers (n 5 81,719) were used to 
develop the models. Cases from 132 Veterans Affairs Medical 
Centers (n 5 99,390) were used as a validation sample. 
• PRF was defined as mechanical ventilation for more than 48 
hours after surgery or reintubation and mechanical 
ventilation after postoperative extubation. 
• Ventilator-dependent, comatose, do not,resuscitate, and 
female patients were excluded. 
• respiratory care.
Multifactorial Risk Index for Predicting Postoperative 
Respiratory Failure in Men After Major Noncardiac 
Surgery 
• Results 
• PRF developed in 2,746 patients (3.4%). 
• The respiratory failure risk index was developed from a simplified logistic 
regression model and included: 
– abdominal aortic aneurysm repair, 
– thoracic surgery, 
– neurosurgery, 
– upper abdominal surgery, 
– Peripheral vascular surgery, 
– neck surgery 
– emergency surgery, 
– albumin level l< than 30 g/L, 
– blood urea nitrogen level >than 30 mg/dL, 
– dependent functional status, 
– chronic obstructive pulmonary disease, 
– age>60
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
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Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009
Cardiac asessment risk compatible 2008-2009

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Cardiac asessment risk compatible 2008-2009

  • 2. Minerva Anestesiol. 1995 May;61(5):173-81. Multivariate prediction of in-hospital mortality associated with surgical procedures.De Ritis G, Giovannini C, Picardo S, Pietropaoli P.condotto • 24,654 pazienti al di sopra di 15 anni di età ,multicentrico • gennaio 1989 - dicembre 1990 • mortalità nei ricoverati entro 30 gg. • Variabili : • età • Sesso • Pressione sistolica • Disfunzione renale • Disfunzione epatica • Malattie concomitanti • Severità della chirurgia • Priorità della chirurgia • Durata dell’anestesia.
  • 3. • With what certainty can post-anaesthetic outcome be predicted? • Short, Timothy G.; Kluger, Michal T. • Volume 11(2), April 1998, pp 209-212
  • 4. Arvidsson S, Ouchterlony J, Sjosted L, Svardsudd K. Predicting postoperative adverse events. Clinical efficiency of four general classification systems. Acta Anaesthesiol Scand 1996;40:783-791 • prospective perioperative risk assessment project • 4 simple predictors on 1471 patients • ASA physical status, • patient age, • surgical stress • visual analogue scale for intuitively appreciated global risk (RISK-VAS). – This score was between 0 (almost certain to go through procedure with no adverse outcome) and 10 (patient will almost certainly suffer a serious complication).
  • 5. Arvidsson S, Ouchterlony J, Sjosted L, Svardsudd K. Predicting postoperative adverse events. Clinical efficiency of four general classification systems. Acta Anaesthesiol Scand 1996;40:783-791 • All four classification systems correlated to postoperative adverse events. The best predictor was RISK-VAS. Those with a score of 4 or more had a 28-fold increased risk of suffering a severe postoperative adverse event compared with patients with scores of less than 4. Positive predictive value was 10% with RISK-VAS score of 7 or more. Low numbers, low mortality and lack of detail on choice of anaesthetic, however, make the result difficult to interpret. It is of interest that the overall impression of the anaesthetist correlated best with outcome, confirming the role of experience and intuition in predicting outcome.
  • 6. Klotz HP, Candinas D, Platz A, Horvath A, Dindo D, Schlumpf R, Largiader F. Preoperative risk assessment in elective general surgery. Ann Surg 1996;83:1788-1791. • included the impact of surgery itself on risk stratification. In a prospective review of 3250 patients using stepwise logistic regression analysis, ASA status, severity of operative procedure, symptoms of respiratory disease and malignancy were identified as significant risk factors. Patients were ranked according to risk into low (5% complication rate), medium (18% complication rate) and high (33% complication rate) risk categories. Using a scoring system based on these indices, patients with an adverse outcome were more likely to be predicted from these indices than from ASA score alone. Both the above studies emphasize the use of some surgical impact score on outcome. Like the APACHE scoring system in intensive care medicine, however, these scoring systems continue to lack sensitivity, specificity and have positive predictive values of only a few per cent. Although useful for population assessment, outcome scores suitable for application in individuals are still lacking.
  • 7. identified as significant risk factors. Klotz HP, Candinas D, Platz A, Horvath A, Dindo D, Schlumpf R, Largiader F. Preoperative risk assessment in elective general surgery. Ann Surg 1996;83:1788-1791. • ASA status, • severity of operative procedure • symptoms of respiratory disease • Malignancy
  • 9. Surgical Apgar Score Regenbogen, Scott E. MD, MPH *+; Lancaster, R Todd MD *+; Lipsitz, Stuart R. ScD ++; Greenberg, Caprice C. MD, MPH ++; Hutter, Matthew M. MD, MPH +; Gawande, Atul A. MD, MPH *++ Does the Surgical Apgar Score Measure Intraoperative Performance? Annals of Surgery. 248(2):320-328, August 2008. • lowest heart rate • lowest mean arterial pressure • estimated blood loss • A score built from these 3 predictors has proved strongly predictive of the risk of major postoperative complications and death in general and vascular surgery. • The score was thus developed using these 3 variables, and their beta coefficients were used to weight the points allocated to each variable in a 10-point score ( Table 1).
  • 10. Regenbogen, Scott E. MD, MPH *+; Lancaster, R Todd MD *+; Lipsitz, Stuart R. ScD ++; Greenberg, Caprice C. MD, MPH ++; Hutter, Matthew M. MD, MPH +; Gawande, Atul A. MD, MPH *++ Does the Surgical Apgar Score Measure Intraoperative Performance? Annals of Surgery. 248(2):320-328, August 2008.
  • 11.
  • 12. Regenbogen, Scott E. MD, MPH *+; Lancaster, R Todd MD *+; Lipsitz, Stuart R. ScD ++; Greenberg, Caprice C. MD, MPH ++; Hutter, Matthew M. MD, MPH +; Gawande, Atul A. MD, MPH *++ Does the Surgical Apgar Score Measure Intraoperative Performance? Annals of Surgery. 248(2):320-328, August 2008.
  • 13. Regenbogen, Scott E. MD, MPH *+; Lancaster, R Todd MD *+; Lipsitz, Stuart R. ScD ++; Greenberg, Caprice C. MD, MPH ++; Hutter, Matthew M. MD, MPH +; Gawande, Atul A. MD, MPH *++ Does the Surgical Apgar Score Measure Intraoperative Performance? Annals of Surgery. 248(2):320-328, August 2008.
  • 14. Regenbogen, Scott E. MD, MPH *+; Lancaster, R Todd MD *+; Lipsitz, Stuart R. ScD ++; Greenberg, Caprice C. MD, MPH ++; Hutter, Matthew M. MD, MPH +; Gawande, Atul A. MD, MPH *++ Does the Surgical Apgar Score Measure Intraoperative Performance? Annals of Surgery. 248(2):320-328, August 2008.
  • 15. Frequenza delle complicanze a seconda del Surgical Apgar Score Regenbogen, Scott E. MD, MPH *+; Lancaster, R Todd MD *+; Lipsitz, Stuart R. ScD ++; Greenberg, Caprice C. MD, MPH ++; Hutter, Matthew M. MD, MPH +; Gawande, Atul A. MD, MPH *++ Does the Surgical Apgar Score Measure Intraoperative Performance? Annals of Surgery. 248(2):320-328, August 2008. 80 70 60 50 40 30 20 10 0 Ko maggiori 0-2 3-4 5-6 7-8 9-10 %
  • 16. Regenbogen, Scott E. MD, MPH *+; Lancaster, R Todd MD *+; Lipsitz, Stuart R. ScD ++; Greenberg, Caprice C. MD, MPH ++; Hutter, Matthew M. MD, MPH +; Gawande, Atul A. MD, MPH *++ Does the Surgical Apgar Score Measure Intraoperative Performance? Annals of Surgery. 248(2):320-328, August 2008. • We find that even after detailed adjustment for comorbidity • and procedure-specific risk factors, the amount of • blood loss, lowest heart rate, and lowest blood pressure were • still important predictors of the risk of a major complication. • The Surgical Apgar Score, therefore, conveyed useful prognostic • information, either in isolation or in combination with • assessments of the risks that patients brought to the operating • room. It also may provide an immediate assessment of how • well or poorly the operation has gone for a patient. In this • cohort, surgical teams could cut a patient’s risk-adjusted • odds of major complications nearly in half with a score of • 9 –10, or conversely, nearly triple the risk-adjusted odds • with scores 4. • This finding, that intraoperative blood loss, heart rate, • and blood pressure are critical predictors of postoperative • risk, is consistent with a variety of previous observations.
  • 17. Regenbogen, Scott E. MD, MPH *+; Lancaster, R Todd MD *+; Lipsitz, Stuart R. ScD ++; Greenberg, Caprice C. MD, MPH ++; Hutter, Matthew M. MD, MPH +; Gawande, Atul A. MD, MPH *++ Does the Surgical Apgar Score Measure Intraoperative Performance? Annals of Surgery. 248(2):320-328, August 2008. • In summary, we have found that a simple clinimetric • surgical outcome score can provide both clinical surgeons • and surgical safety researchers with useful and important • information. The Surgical Apgar Score integrates components • of patient susceptibility, procedure complexity, and • operative performance, providing a measure of immediate • postoperative condition and prognostication beyond standard • risk-adjustment. As a decision-support tool, the score can • inform postoperative prognostication, communication, and • triage, regardless of the sophistication of preoperative risk • stratification available. Finally, as a simple intraoperative • outcome measure and safety improvement metric, it may • prove useful as an indicator of surgical performance
  • 18. Il rischio perioperatorio nei malati mentali Ann Surg. 2008 Jul;248(1):31-8.Postoperative complications in the seriously mentally ill: a systematic review of the literature. Copeland LA, Zeber JE, Pugh MJ, Mortensen EM, Restrepo MI, Lawrence VA • Da quel poco che è stato pubblicato la schizofrenia emerge come fattore di rischio per mortalità e morbilità,quest’ultima peculiare per frequenza di ileo paralitico postop e confusione mentale. • questi pazienti sembrerebbero resistenti al dolore . • Pazienti affetti da disordini depressivi seri presentano una elevate incidenza di delirio postop e di confusione mentale. • Da notare che tali complicanze sono più frequenti quando si sospendono le terapie abituali nel periodo preop. – Ann Surg. 2008 Jul;248(1):31-8.Postoperative complications in the seriously mentally ill: a systematic review of the literature. Copeland LA, Zeber JE, Pugh MJ, Mortensen EM, Restrepo MI, Lawrence VA
  • 19. • Table 1: Surgical risk scores classified by outcome measure and need for intra-operative information • Scores predicting mortality Scores predicting morbidity • Scores not requiring operative information ASA1 ASA • APACHE-II8 APACHE-II • Donati Score16 Goldman Cardiac Risk Index3 • Hardman Index38 Veltkamp Score44
  • 20. Cardiac Risk Index in Noncardiac Surgery Criteria Finding Age (yr) >70 5 Cardiac status MI within 6 mo 10 Ventricular gallop or jugular venous distention (signs of heart failure) 11 Significant aortic stenosis 3 Arrhythmia other than sinus or premature atrial contractions 7 ≥5 premature ventricular contractions/min 7 General medical condition Po2 < 60 mm Hg, Pco2 > 50 mm Hg, K < 3 mmol/L, HCO3 <20 mmol/L, BUN > 50 mg/dL, serum creatinine > 3 mg/dL, elevated AST, a chronic liver disorder, or bedbound 3 Type of surgery needed Emergency surgery 4 Intraperitoneal, intrathoracic, or aortic surgery 3 *Risk is based on the total number of points: Level I: 0–5 Level II: 6–12 Level III: 13–25 Level IV: >25 Adapted from Goldman L et al: Multifactorial index of cardiac risk in noncardiac surgical procedures. New England Journal of Medicine 297:845–850, 1977.
  • 21. aoNmnauryaIuaemvosSPar talpnegg Preoperative ity Risk Factors and Surgical Complexity Are More Predictive of Costs Than Postoperative Complications: A Case Study Using the National Surgical Quality Improvement Program (NSQIP) Database [Ann Surg 242(4):463-471, 2005. © 2005 Lippincott Williams & Wilkins]
  • 22. aoNmnauryaIuaemvosSPar talpnegg Table Greatest Increase in Mean Variable Direct Costs ity The 25 Preoperative Risk Factors Associated With the 3. Comparison of Individual and Sequentially Combined Multiple Linear Regression Models of Preoperative Risk Factors, Surgical Complexity, and Postoperative Complications Versus Transformed Costs Table 4. The 10 Postoperative Complications Associated With the Greatest Increase in Mean Variable Direct Costs
  • 23. aoNmnauryaIuaemvosSPar talpnegg Table ity 3. Comparison of Individual and Sequentially Combined Multiple Linear Regression Models of Preoperative Risk Factors, Surgical Complexity, and Postoperative Complications Versus Transformed Costs Table 4. The 10 Postoperative Complications Associated With the Greatest Increase in Mean Variable Direct Costs
  • 24.
  • 26. Figure 1. Preoperative risk factor cost predictions versus actual transformed costs. A multivariate regression of all the preoperative risk factors predicted 33% of the variation in costs (P < 0.001). The quartic root transformation yielded the best fit of the data.
  • 27. • Clean wounds • The wound is considered to be clean when the operative • procedure does not enter into a normally colonized • viscus or lumen of the body. SSI rates in this class of • procedures are less than 2%, depending upon clinical • variables, and often originate from
  • 28.
  • 29.
  • 30.
  • 31.
  • 32. • : Arch Otolaryngol Head Neck Surg. 2003 Jul;129(7):739-45. Links • APACHE II, POSSUM, and ASA scores and the risk of perioperative complications in patients with oral or oropharyngeal cancer. • de Cássia Braga Ribeiro K, Kowalski LP. • Hospital Cancer Registry and Department of Head and Neck Surgery and Otorhinolaryngology, Centro de Tratamento e Pesquisa Hospital do Câncer A. C. Camargo,
  • 33.
  • 34.
  • 35.
  • 36.
  • 37. Ann Surg. 2007 Jul;246(1):91-6. The AFC score: validation of a 4-item predicting score of postoperative mortality after colorectal resection for cancer or diverticulitis: results of a prospective multicenter study in 1049 patients.Alves A , Panis Y, Mantion G, Slim K, Kwiatkowski F, Vicaut E. • age older than 70 years • neurologic comorbidity • underweight (body weight loss >10% in <6 months) • emergency surgery • All significantly increased postoperative mortality after resection for cancer or diverticulitis.
  • 38.
  • 39.
  • 40.
  • 41. Ireson CL, Schwartz RW. Measuring outcomes in surgical patients. Am J Surg. 2001;181:76-80
  • 42. Arch Surg. 2001 Jan;136(1):55-9. Comment in: Arch Surg. 2001 Mar;136(3):353. Risk stratification in emergency surgical patients: is the APACHE II score a reliable marker of physiological impairment? Koperna T, Semmler D, Marian F.
  • 43. Arch Surg. 2001 Jan;136(1):55-9. Comment in: Arch Surg. 2001 Mar;136(3):353. Risk stratification in emergency surgical patients: is the APACHE II score a reliable marker of physiological impairment? Koperna T, Semmler D, Marian F.
  • 44. Arch Surg. 2001 Jan;136(1):55-9. Comment in: Arch Surg. 2001 Mar;136(3):353. Risk stratification in emergency surgical patients: is the APACHE II score a reliable marker of physiological impairment? Koperna T, Semmler D, Marian F.
  • 45. Preoperative and Long-term Cardiac Risk Assessment Predictive Value of23 Clinical Descriptors, 7 Multivariate Scoring Systems, and Quantitative Dipyridamole Imaging in 360 Patients.JEAN LETTE, M.D.*,t DAVID WATERS, M.D.,t HELENE BERNIER,* PATRICK CHAMPAGNE, B.Sc.,*.JEAN LASSONDE, M.D.,* MICHEL PICARD, M.D.,4 MICHEL CERINO, M.D.,* STANLEY NATTEL, M.D.,tYVAN BOUCHER, M.D.,* FRANCOISE HEYEN, M.D.,* and SERGE DUBE.
  • 46. Predictive value of dipyridamole-thallium imaging and five clinical scoring systems based on multifactorial analysis. Lette J, Waters D, Lassonde J, Dubé S, Heyen F, Picard M, Morin M.
  • 47. Predictive value of dipyridamole-thallium imaging and five clinical scoring systems based on multifactorial analysis. Lette J, Waters D, Lassonde J, Dubé S, Heyen F, Picard M, Morin M.
  • 48. Predictive value of dipyridamole-thallium imaging and five clinical scoring systems based on multifactorial analysis. Lette J, Waters D, Lassonde J, Dubé S, Heyen F, Picard M, Morin M.
  • 49. Table 2. The 25 Preoperative Risk Factors Associated With the Greatest Increase in Mean Variable Direct Costs
  • 50. Table 3. Comparison of Individual and Sequentially Combined Multiple Linear Regression Models of Preoperative Risk Factors, Surgical Complexity, and Postoperative Complications Versus Transformed Costs
  • 51. Table 4. The 10 Postoperative Complications Associated With the Greatest Increase in Mean Variable Direct Costs
  • 52. Postoperative mortality after inpatient surgery: Incidence and risk factors.Karamarie Fecho,Anne T Lunney,Philip G Boysen, Peter Rock,Edward A Norfleet. Therapeutics and Clinical Risk Management 0000:0(0) 1–8 • Purpose: This study determined the incidence of and identifi ed risk factors for 48 hour (h) and 30 day (d) postoperative mortality after inpatient operations. • Methods: A retrospective cohort study was conducted using Anesthesiology’s Quality Indicator database as the main data source. The database was queried for data related to the surgical procedure, anesthetic care, perioperative adverse events, and birth/death/operation dates. The 48 h and 30 d cumulative incidence of postoperative mortality was calculated and data were analyzed using Chi-square or Fisher’s exact test and generalized estimating equations. • Results: The 48 h and 30 d incidence of postoperative mortality was 0.57% and 2.1%, respectively. Higher American Society of Anesthesiologists physical status scores, extremes of age, emergencies, perioperative adverse events and postoperative Intensive Care Unit admission were identifi ed as risk factors. • The use of monitored anesthesia care or general anesthesia versus regional or combined anesthesia was a risk factor for 30 d postoperative mortality only. • Time under anesthesia care, perioperative hypothermia, trauma, deliberate hypotension and invasive monitoring via arterial, pulmonary artery or cardiovascular catheters were not identifi ed as risk factors. • Conclusions: Our fi ndings can be used to track postoperative mortality rates and to test preventative interventions at our institution and elsewhere.
  • 53. risk factors Postoperative mortality after inpatient surgery: Incidence and risk factors.Karamarie Fecho,Anne T Lunney,Philip G Boysen, Peter Rock,Edward A Norfleet. Therapeutics and Clinical Risk Management 0000:0(0) 1–8 • American Society of Anesthesiologists physical status scores • extremes of age, • emergencies, • perioperative adverse events postoperative Intensive Care Unit admission
  • 54. Risk prediction on line • Risk prediction in surgery [http://www.riskprediction.org.uk/p pindex.php].
  • 55. • This site has been developed to allow surgeons to estimate risk online for their patients undergoing surgery. This service is provided for individual use to help surgeons more fully consent their patients by giving mortality and other surgical risk predictions based on relevant prognostic factors including age, disease severity and co-morbidity. Risk adjusted operative mortality can be used as an objective measure of outcome for monitoring performance within a centre or between centres.
  • 56. • ACPGBI CRC Model ACPGBI Malignant Large Bowel Obstruction Model ACPGBI Lymph Node Harvesting Model St Mark's Lymph Node Positivity Model The Cleveland Clinic Colorectal Laparoscopic Conversion The Cleveland Clinic Ileal Pouch Failure Model CR-POSSUM P-POSSUM O-POSSUM Vascular-POSSUM models MUST screening tool (malnutrition) ACPGBI CRC Model - Association of Coloproctology of GB & I Colorectal Cancer
  • 57. calculate a mortality risk online for patients using the ACPGBI Colorectal Cancer Model • Calculate an ACP Score • Choose a value in each category that matches your patient from the drop down lists in both the physiological and operative parameters tables below. Default values (the lowest score) are shown for each category. Simply submitting the form as it is without changing the values (i.e. a young fit patient having a minor operation) still gives a % risk for mortality. It is important to say in this model by ticking the appropriate box whether or not the cancer was resected. The reason for this is the value allocated to ASA status is dependent upon resection status. • Parameters – Age – Cancer Resection Status cancer resected cancer NOT resected – ASA Status C – Cancer Staging :Duke’s – Operative Urgency ;elective,urgent,emergency
  • 58. Calculate a CR-POSSUM Score • Choose a value in each category that matches your patient from the drop down lists in both the physiological and operative parameters tables below. Default values (the lowest score) are shown for each category. Simply submitting the form as it is without changing the values (i.e. a young fit patient having a minor operation) still gives a v.small % risk for mortality. The more 'risky' the procedure the more accurate is the predicted risk calculated below.
  • 59. CR POSSUM • Physiological Parameters – Age – Cardiac :No-mild/moderate Carcdiac failure/severe CF – Systolic BP – Pulse Rate – Haemoglobin – Urea • If calculating risk in a preoperative patient you will need to estimate the parameters below. You can return and modify the parameters post-operatively if required. – Operative Parameters – Operation Type • Peritoneal Contamination • Malignancy Status • CEPOD
  • 60. Calculate a P-POSSUM Score Choose a value in each category that matches your patient from the drop down lists in both the physiological and operative parameters tables below. Default values (the lowest score) are shown for each category. Simply submitting the form as it is without changing the values (i.e. a young fit patient having a minor operation) still gives a % risk for morbidity and mortality. This illustrates that even in the modified P-POSSUM formula used in this application still overestimates risk in low risk groups. The more 'risky' the procedure the more accurate is the predicted risk calculated below.
  • 61. P-POSSUM score Physiological Parameters Age Cardiac Respiratory ECG Systolic BP Pulse Rate Haemoglobin WBC Urea Sodium Potassium GCS I f calculating risk in a preoperative patient you will need to estimate the parameters below. You can return and modify the parameters post-operatively if required. Operative Parameters :Operation Type /Number of procedures/ Operative Blood Loss/ Peritoneal Contamination/ Malignancy Status/ CEPOD
  • 62. Calculate an O-POSSUM Score • Choose a value in each category that matches your patient from the drop down lists in both the physiological and operative parameters tables below. You must enter the patients actual age as well as selecting the age range otherwise an error will occur. Default values (the lowest score) are shown for each category. Simply submitting the form as it is without changing the values (i.e. a young fit patient having a minor operation) still gives a % risk for mortality.
  • 63. O-POSSUM Score • Physiological Parameters – Age Range – * BOTH FIELDS MUST BE COMPLETED – Actual Age * BOTH FIELDS MUST BE COMPLETED – Cardiac – Respiratory – ECG – Systolic BP – Pulse Rate – Haemoglobin – WBC – Urea – Sodium – Potassium – GCS – If calculating risk in a preoperative patient you will need to estimate the parameters below. You can return and modify the parameters post-operatively if required. • Operative Parameters :Operation Type/ Malignancy Status/ CEPOD
  • 64. Malnutrition Universal Screening Tool (MUST ‘MUST’ is a five-step screening tool to identify adults, who are malnourished, at risk of malnutrition, or obese. It also includes management guidelines which can be used to develop a care plan. The tool is being used both in hospitals and in the community. It is easy to use and can be used by all care workers. • Full details of this tool can be found at the following: • http://www.bapen.org.uk/the-must.htm • Calculate Risk • Use the form below to estimate the risk of malnutrition. Please note that the figures entered for weight must be in kilograms and the figure entered for height must be in centimetres. Conversion charts for Imperial units can be found here (opens in a new window). • Parameters Current weight (Kg) /Current height (cms) /Previous healthy weight* /Is the patient acutely ill and there has been or is likely to be no nutritional intake for >5 days? / • * This is the patients' weight when they were healthy, or the weight prior to any unplanned weight loss in the last 3-6 months
  • 65. Application of Portsmouth modification of physiological and operative severity scoring system for enumeration of morbidity and mortality (P-POSSUM) in pancreatic surgery Appou Tamijmarane*, Chandra S Bhati, Darius F Mirza, Simon R Bramhall, David A Mayer, Stephen J Wigmore and John AC Buckels.World Journal of Surgical Oncology • 2008, 6:39 doi:10.1186/1477-7819-6-39 Abstract Background: Pancreatoduodenectomy (PD) is associated with high incidence of morbidity and mortality. We have applied P-POSSUM in predicting the incidence of outcome after PD to identify those who are at the highest risk of developing complications. • Method: A prospective database of 241 consecutive patients who had PD from January 2002 to September 2005 was retrospectively updated and analysed. P-POSSUM score was calculated for each patient and correlated with observed morbidity and mortality. • Results: 30 days mortality was 7.8% and morbidity was 44.8%. Mean physiological score was 16.07 ± 3.30. Mean operative score was 13.67 ± 3.42. Mean operative score rose to 20.28 ± 2.52 for the complex major operation (p < 0.001) with 2 fold increase in morbidity and 3.5 fold increase in mortality. For groups of patients with a physiological score of (less than or equal to) 18, the O:P • (observed to Predicted) morbidity ratio was 1.3–1.4 and, with a physiological score of >18, the O:P ratio was nearer to 1. Physiological score and white cell count were significant in a multivariate model. • Conclusion: P-POSSUM underestimated the mortality rate. While P-POSSUM analysis gave a truer prediction of morbidity, underestimation of morbidity and potential for systematic inaccuracy in prediction of complications at lower risk levels is a significant issue for pancreatic surgery.
  • 66. American Journal of Surgery - Volume 194, Issue 2 (August 2007) - Estimation of physiologic ability and surgical stress (E-PASS) as a predictor of immediate outcome after elective abdominal aortic aneurysm surgery Tjun Tang,Stewart R. Walsh,Thomas R. Fanshawe, Jonathan H. Gillard,Umar Sadat, Kevin Varty, Michael E. Gaunt, Jonathan R. Boyle. • Haga et al [10] derived and validated the Estimation of Physiologic Ability and Surgical Stress (E-PASS) scoring system for risk stratification of patients undergoing elective general gastrointestinal (GI) surgery. Furthermore, it has been externally validated in a different geographical setting from where it was originally developed and has been shown to be reproducible in accurately predicting outcome following elective GI surgery [11]. This system comprises a pre-operative risk score (PRS), a surgical stress score (SSS), and a comprehensive risk score (CRS), which is calculated from the PRS and SSS. E-PASS was based on the premise that morbidity and mortality rates can be correlated with the patient’s physiologic risk and the surgical stress applied. Surgical stress can be estimated, in general, because tissue destruction, bleeding and ischemia caused by basic surgical techniques produce inflammatory cytokines, which are thought to be an underlying mechanism in the development of organ failure following a surgical insult [12].
  • 67. • [10] Haga Y., Ikei S., Ogawa M.: Estimation of Physiologic Ability and Surgical Stress (E-PASS) as a new prediction scoring system for post-operative morbidity and mortality following gastrointestinal surgery. Surg Today 29. 219-225.1999; [11] Oka Y., Nishijima J., Oku K., et al: Usefulness of an Estimation of Physiologic Ability and Surgical Stress (E-PASS) scoring system to predict the incidence of postoperative complications in gastrointestinal surgery. World J Surg 29. 1029-1033.2005; [12] Ogawa M.: Mechanisms of the development of organ failure following surgical insult: the “second attack” theory. Clin Intens Care 7. 34-38.1996; [13] Haga Y., Ikei S., Wada Y., et al: Evaluation of an Estimation of Physiologic Ability and Surgical Stress (E-PASS) scoring system to predict postoperative risk: a multicenter prospective study. Surg Today 31. 569- 574.2001;
  • 68. Incidence of mortality and morbidity accordingto CRS. The graph appears to demonstrate that patients in the ≥1.0 categoryare at particularly high risk of mortality, and in the .5 to <1.0 and ≥1.0categories at particularly high risk of morbidity. Bars show 95% confidence intervals Estimation of physiologic ability and surgical stress (E-PASS) as a predictor of immediate outcome after elective abdominal aortic aneurysm surgery
  • 69. Estimation of physiologic ability and surgical stress (E-PASS) as a predictor of immediate outcome after elective abdominal aortic aneurysm surgery
  • 70. Estimation of physiologic ability and surgical stress (E-PASS) as a predictor of immediate outcome after elective abdominal aortic aneurysm surgery • Risk adjustment is important in comparative audit and in general, models of adverse outcome are formed using logistic regression as the statistical technique. Unfortunately, the current scoring systems that have been developed to assess postoperative mortality and morbidity involve collection of numerous variables and therefore databases are likely to be incomplete [22], [23]. The Physiological and Operative Severity Score for the enUmeration of Mortality and Morbidity (POSSUM) [24] has been proposed as a predictor equation of complications and mortality taking into account differences in case-mix. A major drawback of the POSSUM approach is that it requires up to 19 perioperative physiologic data items per patient, which are not necessarily collected as part of routine clinical care. Furthermore, it was criticized because it overpredicted the mortality rate of patients at low risk [25]. Portsmouth-POSSUM and Vascular-POSSUM, although more accurate predictors of death than POSSUM in vascular patients, have not been shown to be robust in different geographic locations [26], [27]. E-PASS has also been compared to POSSUM and P-POSSUM in elective GI surgery, which revealed that although both systems had significant correlations with the observed rates of postoperative complications, the POSSUM equations overpredicted mortality [28].
  • 71. Estimation of physiologic ability and surgical stress (E-PASS) as a predictor of immediate outcome after elective abdominal aortic aneurysm surgery • We have started to prospectively compare E-PASS with the different POSSUM predictor equations in vascular surgery to evaluate its usefulness in defining quality of care. Undoubtedly, the practical logistics associated with collecting such a large dataset in the POSSUM models have been one of the main factors inhibiting their universal adoption by vascular surgeons. E-PASS uses far fewer variables and therefore has obvious advantages over POSSUM in amount of data entry needed and the complexity of the analysis. We have found that the CRS can be quickly calculated immediately after the operation and the different parameters to calculate PRS and SSS were relatively easy to collect, as demonstrated by the low number of cases excluded. The POSSUM scoring system can only be used as a prediction guideline if the physiology-only equations are used. Generally, the estimated mortality rates can be determined only after the pathologic results are known [24]. Moreover POSSUM devised for exponential analysis does not provide accurate predicted mortality rates for individual patients. The E-PASS model was developed originally as a prediction guideline for decision-making and therefore the estimated mortality rates can be computed easily after an operation. It was previously reported that E-PASS was useful in estimating surgical costs in GI surgery [29]. CRS had a significant positive correlation to the duration and costs of hospital stay. They showed an equation for estimating surgical costs and compared a real to estimated costs among hospitals, proposing a risk-based payment system because hospitals that treat more high-risk patients would not only show higher mortality and morbidity rates but also surgical costs of hospital stay. Although not performed in this
  • 72. Estimation of physiologic ability and surgical stress (E-PASS) as a predictor of immediate outcome after elective abdominal aortic aneurysm surgery • The strong correlation between PRS and outcome (P < .0001 for mortality and morbidity) may allow the vascular surgeon to predict risk in an individual patient before surgery. Furthermore, this risk can be discussed confidently with both patient and relatives while gaining informed consent. If the risk predicted by PRS is too high for a patient, a less invasive procedure such as endovascular stenting or conservative management may be considered. The fact that PRS, on an individual basis, was extremely powerful in predicting mortality and morbidity ranges may allow for the reduction of data required for a national vascular database without compromising the statistical basis of comparative audit. Prytherch et al were able to successfully model surgical outcomes in arterial surgery using a minimal dataset of blood tests known as “VBHOM” (vascular biochemistry and hematology outcome models) [3]. This has the advantage that it is universal in its application and does not require operative data. Many models like POSSUM suffer from the same weakness, which is, by definition, that they exclude patients who were either not offered or refused surgery. The PRS component of E-PASS, in the future, may be developed and validated like VBHOM to overcome this problem.
  • 73. • Estimation of Physiologic Ability and Surgical Stress (E-PASS) scoring system: • E-PASS=a pre-operative risk score (PRS), a surgical stress score (SSS), and a comprehensive risk score (CRS), which is calculated from the PRS and SSS. • CRS=PRS+SSS • E-PASS=K*CRS
  • 74. equations of the E-PASS scoring system • The equations of the E-PASS scoring system are as follows (data from Haga et al1): (1) Estimation of physiologic ability and surgical stress (E-PASS) as a predictor of immediate outcome after elective abdominal aortic aneurysm surgery
  • 75. equations of the E-PASS scoring system are as follows (data from Haga et al1): • (1) PRS = -0.0686 + 0.00345X1 +0.323X2 +0.205X3 +0.153X4 +0.148X5 +0.0666X6, where X1 is age; X2, the presence (1) or absence (0) of severe heart disease; X3, the presence (1) or absence (0) of severe pulmonary disease; X4, the presence (1) or absence (0) of diabetes mellitus; X5, the performance status index (range, 0-4); and X6, the American Society of Anesthesiologists' physiological status classification (range, 1-5).
  • 76. • (1) PRS = -0.0686 + 0.00345X1 +0.323X2 +0.205X3 +0.153X4 +0.148X5 +0.0666X6, dove: X1 è etò, X2,la presenza (1) o assenza (0) di malattia cardiaca severa; X3 la presenza (1) o assenza (0)di malattia polmonare severa; X4, la presenza (1) o assenza (0) di diabete mellitus; X5, il performance status index (range, 0-4); X6, la classificazione di stato fisico della American Society of Anesthesiologists (ASA Ps) (range, 1- 5).
  • 77. • Severe heart disease is defined as heart failure of New York Heart Association class III or IV or severe arrhythmia requiring mechanical support. • Severe pulmonary disease is defined as any condition with a percentage vital capacity of less than 60% and/or a percentage forced expiratory volume in 1 second of less than 50%. • Diabetes mellitus is defined according to the World Health Organization criteria. • Performance status index is defined by the Japanese Society for Cancer Therapy.
  • 78. SSS:surgical stress core • (2) SSS = -0.342 + 0.0139X1 +0.0392X2 +0.352X3, where X1 is blood loss (in grams) divided by body weight (in kilograms); X2, the operating time (in hours); and X3, the extent of the skin incision (0 indicates a minor incision for laparoscopic or thoracoscopic surgery, including laparoscopic- or thoracoscopic-assisted surgery; 1, laparotomy or thoracotomy alone; and 2, laparotomy and thoracotomy). (
  • 79. • 2) SSS = -0.342 + 0.0139X1 +0.0392X2 +0.352X3, dove X1 è la perdita ematica (in grammi) diviso per il peso corporeo (in kg); X2, tempo operatorio ( h); X3, l’estensione della incisione cutanea: (0 indica una incisione minore laparoscopica o toracoscopica; 1, laparotomia o toracototomia da sole ; 2, laparotomia e toracotomia
  • 80. comprehensive risk score (CRS) • 3) CRS = -0.328 + (0.936 x PRS) + (0.976 x SSS).
  • 81. Esempio di di EPass • 70 anni • Copd • Iperteso • Gastrtect 5 h,perdite 800 ml stimate……. • PRS = -0.0686 + 0.00345*70+0.323*0 +0.205*1 +0.153X4 +0.148*??X5 +0.0666*3,assumiamo X5=1… • PRS=3,49 • SSS =0,4345 • CRS = -0.328 + (3,26) + (0,4240).=3,35 ,cioè mortalità 0-5%,morbilità 44%
  • 82. Quality Assessment in High-Acuity Surgery Volume and Mortality Are Not Enough Charles M. Vollmer, Jr, MD; Wande Pratt, BA; Tsafrir Vanounou, MD, MBA; Shishir K. Maithel, MD; Mark P. Callery, MD • Expected Morbidity • Expected morbidity was predicted for each of the 296 consecutive • patients in the following manner. In accordance with • POSSUM, 12 physiologic and 6 operative variables were prospectively • recorded for each patient undergoing pancreatic resection. • 16 Physiologic variables included patient age, Glasgow • coma score, the presence of cardiac and respiratory symptoms, • vital signs (systolic blood pressure and pulse), serum biochemistry • evaluation (urea nitrogen, sodium, and potassium • levels), hematologic investigation (white blood cell count and • hemoglobin level), and electrocardiographic and chest radiographic • findings. Operative variables included the magnitude • of the operation, the number of operations performed within • 30 days, intraoperative blood loss, the degree of peritoneal contamination, • the presence or absence of malignancy, and the timing
  • 83. The value of Modified Early Warning Score (MEWS) in surgical in-patients: a prospective observational study J GARDNER-THORPE1, N LOVE2, J WRIGHTSON2, S WALSH1, N KEELING2 • 1Department of Surgery, Addenbrooke’s Hospital, Cambridge, UK • 2Department of Surgery, West Suffolk Hospital, Bury St Edmunds, UK • INTRODUCTION The Modified Early Warning Score (MEWS) is a simple, physiological score that may allow improvement in the quality and safety of management provided to surgical ward patients. The primary purpose is to prevent delay in intervention or • transfer of critically ill patients. • PATIENTS AND METHODS A total of 334 consecutive ward patients were prospectively studied. MEWS were recorded on all patients and the primary end-point was transfer to ITU or HDU. • RESULTS Fifty-seven (17%) ward patients triggered the call-out algorithm by scoring four or more on MEWS. Emergency patients were more likely to trigger the system than elective patients. Sixteen (5% of the total) patients were admitted to the ITU or • HDU. MEWS with a threshold of four or more was 75% sensitive and 83% specific for patients who required transfer to ITU or HDU. • CONCLUSIONS The MEWS in association with a call-r
  • 84.
  • 85. Faraday, Nauder M.D. *; Martinez, Elizabeth A. M.D. +; Scharpf, Robert B. M.S. ++; Kasch-Semenza, Laura M.S. [S]; Dorman, Todd M.D. *; Pronovost, Peter J. M.D., Ph.D. *; Perler, Bruce M.D. [//]; Gerstenblith, Gary M.D. #; Bray, Paul F. M.D. **; Fleisher, Lee A. M.D. ++ Platelet Gene Polymorphisms and Cardiac Risk Assessment in Vascular Surgical Patients. Anesthesiology. 101(6):1291-1297, December 2004. • Abstract • Background: Current perioperative cardiac risk assessment tools use historic and surgical factors to stratify patient risk. Polymorphisms in platelet glycoprotein (GP) IIIa and GPIb[alpha] are associated with myocardial ischemic risk in nonsurgical settings, but their relation to perioperative ischemia is unclear. The authors hypothesized that platelet genotype would be an independent predictor of postoperative myocardial ischemia and would improve risk assessment when added to clinical factors. • Methods: One hundred ninety-six patients who underwent infrainguinal, abdominal aortic, or thoracoabdominal vascular surgery were evaluated for clinical and genetic factors that might predict the development of postoperative myocardial ischemia. Genomic DNA was genotyped for the Leu33Pro polymorphism of GPIIIa and the Thr145Met polymorphism of GPIb[alpha]. Myocardial ischemic outcome was determined by review of the medical record for cardiac death or myocardial infarction and by surveillance troponin I and automated continuous 12-lead electrocardiographic analysis.
  • 86. Faraday, Nauder M.D. *; Martinez, Elizabeth A. M.D. +; Scharpf, Robert B. M.S. ++; Kasch-Semenza, Laura M.S. [S]; Dorman, Todd M.D. *; Pronovost, Peter J. M.D., Ph.D. *; Perler, Bruce M.D. [//]; Gerstenblith, Gary M.D. #; Bray, Paul F. M.D. **; Fleisher, Lee A. M.D. ++ Platelet Gene Polymorphisms and Cardiac Risk Assessment in Vascular Surgical Patients. Anesthesiology. 101(6):1291-1297, December 2004. • Results: Sixty-five patients (33%) experienced one or more ischemic endpoints (2% death, 5% myocardial infarction, 20% troponin+, 22% electrocardiogram+). The Pro33 (adjusted odds ratio [OR], 2.4 [95% confidence interval, 1.2–6.2]) and Met145 (OR 3.4 [1.4–9.3]) genotypes were independent predictors of composite ischemic outcome by multivariate regression, as were diabetes mellitus (OR 4.0 [1.7–12.5]), abdominal aortic surgery (OR 4.1 [1.7–14.4]), and thoracoabdominal aortic surgery (OR 6.4 [2.7–23.8]). The addition of platelet gene polymorphisms to clinical factors improved fit (likelihood ratio testing chi-square = 13.5, P < 0.001) of an ischemia prediction model. The derived risk assessment tool had a receiver operator characteristic curve of 0.73 (0.65–0.81) compared with 0.64 (0.57–0.74) for a model excluding genetic factors (P = 0.04). A significant relation between the GPIb[alpha] polymorphism and ischemic outcome remained after excluding electrocardiographic ischemia from the composite endpoint.
  • 87. Szekely, Andrea MD, PhD, DEAA; Balog, Piroska PhD; Benko, Erzsebet MD; Breuer, Tamas MD; Szekely, Judit MD; Kertai, Miklos D. MD, PhD; Horkay, Ferenc MD, PhD; Kopp, Maria S. MD, PhD; Thayer, Julian F. PhD Anxiety Predicts Mortality and Morbidity After Coronary Artery and Valve Surgery-A 4-Year Follow-Up Study. Psychosomatic Medicine. 69(7):625-631, September 2007 • . Objective: To explore the long-term effect of anxiety and depression on outcome after cardiac surgery. To date, the relationship between psychosocial factors and future cardiac events has been investigated mainly in population-based studies, in patients after cardiac catheterization or myocardial infarction. • Methods: In total, 180 patients who underwent cardiac surgery using cardiopulmonary bypass were prospectively studied and followed up for 4 years. Anxiety (Spielberger State-Trait Anxiety Inventory, STAI-S/STAI-T), depression (Beck Depression Inventory, BDI), living alone, and education level along with clinical risk factors and perioperative characteristics were assessed. Psychological self-report questionnaires were completed preoperatively and 6, 12, 24, 36, and 48 months after discharge. Clinical end-points were mortality and cardiac events requiring hospitalization during follow-up. • Results: Average preoperative STAI-T score was 44.6 +/- 10. Kaplan-Meier analysis showed a significant effect of preoperative STAI-T >45 points (p = .008) on mortality. In multivariate models, postoperative congestive heart failure (OR: 10.8; 95% confidence interval [CI]:2.9-40.1; p = .009) and preoperative STAI-T (score OR: 1.07; 95% CI: 1.01-1.15; p = .05) were independently associated with mortality. The occurrence of cardiovascular hospitalization was independently associated with postoperative intensive care unit days (OR: 1.41; 95% CI: 1.01-1.96; p = .045)
  • 88. BAYRAM, AHMET SAMI; CANDAN, TARIK; GEBITEKIN, CENGIZ Preoperative maximal exercise oxygen consumption test predicts postoperative pulmonary morbidity following major lung resection. Respirology. 12(4):505-510, July 2007 • Background and objective: Pulmonary resection carries a significant morbidity and mortality. The utility of maximal oxygen uptake test (VO2max) to predict cardiopulmonary complications following major pulmonary resection was evaluated. • Methods: Following standard preoperative work-up and VO2max testing, 55 patients (49 male; mean age 59 years, range 20-74) underwent major pulmonary surgery: lobectomy (n = 31), bilobectomy (n = 6) and pneumonectomy (n = 18). An investigator blinded to the preoperative assessment prospectively collected data on postoperative cardiopulmonary complications. Patients were divided into two groups according to preoperative VO2max and also according to FEV1. The frequency of postoperative complications in the groups was compared. • Results: Complications were observed in 19 (34.5%) patients, 11 of which were pulmonary (20%). There were two deaths (3.6%), both due to respiratory failure. Preoperative FEV1 failed to predict postoperative respiratory complications. Five of 36 patients with a preoperative FEV1 > 2 L suffered pulmonary complications, compared with six of 19 patients with FEV1 < 2 L. Cardiopulmonary complications
  • 89. • Max VO2 < 15 ml/kg indica aumento di morbilità dopo interv.sul polmone
  • 90. Wei, A. C. 1; Poon, R. Tung-Ping 2; Fan, S.-T. 2; Wong, J. 2 Risk factors for perioperative morbidity and mortality after extended hepatectomy for hepatocellular carcinoma. British Journal of Surgery. 90(1):33-41, January 2003. • Background: Extended hepatectomy with resection of more than four segments is a high-risk operation, especially in patients with hepatocellular carcinoma (HCC) associated with chronic liver disease. This study evaluated the risk factors for morbidity and mortality following extended hepatectomy for HCC. • Methods: Preoperative and intraoperative variables of 155 patients who underwent extended hepatectomy for HCC were analysed to identify risk factors for postoperative morbidity and mortality. • Results: The overall morbidity rate was 55[middle dot]5 per cent (n = 86). Most morbidity was due to ascites or pleural effusion. Significant life-threatening complications occurred in 20[middle dot]0 per cent (n = 31). The perioperative mortality rate was 8[middle dot]4 per cent (n = 13). Multivariate analysis found that portal clamping (P = 0[middle dot]023) and perioperative blood transfusion (P < 0[middle dot]001) were risk factors for morbidity, whereas perioperative blood transfusion (P < 0[middle dot]001) was the only risk factor for significant morbidity. Co-morbid illness (P = 0[middle dot]019) and perioperative blood transfusion (P = 0[middle dot]004) were risk factors for perioperative mortality. • Conclusion: Meticulous operative techniques to minimize blood loss and transfusion, while avoiding a prolonged Pringle manoeuvre, may help reduce postoperative morbidity. Avoidance of perioperative blood transfusion and careful preoperative
  • 91. Lobo, Suzana M. A. MD; Salgado, Paula F. MD; Castillo, Vania G. T. RN; Borim, Aldenis A. MD; Polachini, Carlos A. MD; Palchetti, Jose C. MD; Brienzi, Sergio L. A. MD; de Oliveira, Granville G. PhD Effects of maximizing oxygen delivery on morbidity and mortality in high-risk surgical patients. Critical Care Medicine. 28(10):3396-3404, October 2000 • Objective: To evaluate the effects of maximizing the oxygen delivery on morbidity and mortality in patients >60 yrs of age and/or with chronic diseases of vital organs who underwent major elective surgery. • Design: Prospective, randomized, controlled trial. • Setting: A 24-bed general intensive care unit of a teaching hospital. • Patients: Thirty-seven high-risk patients who underwent major surgery. • Interventions: The hemodynamic and oxygen transport variables and outcomes in 18 patients (control group) treated to maintain normal values of oxygen delivery were compared with 19 patients (protocol group) treated to maintain "supranormal" values. Therapy in both groups consisted of volume expansion and, when necessary, dobutamine to reach target values, during the surgery and 24 hrs postoperatively. • Measurements and Main Results: We interrupted the study because of a significant difference in the 60-day mortality rate. The mortality rate in the control group was significantly higher when compared with the protocol group (9/18 [50%] vs. 3/19 [15.7%], p < .05). The prevalence of clinical and infectious complications was higher in the control group than
  • 92. • Massimizzazione del traspoprto di O2 con dobutamina migliora la prognosi nell’anziano
  • 93. Klotz, H. P.; Candinas, D.; Platz, A.; Horvath, A.; Dindo, D.; Schlumpf, R.; Largiader, F. Preoperative risk assessment in elective general surgery. British Journal of Surgery. 83(12):1788-1791, December 1996. • Despite improved surgical techniques there is still a risk of mortality in elective general surgery. In a prospective study preoperative data from 3250 patients were collected and compared with postoperative systemic complications, using univariate chi squared analysis. Highly significant (P < 0.00001) variables were subjected to stepwise logistic regression analysis. The severity of operative procedure, higher American Society of Anesthesiologists (ASA) grade, symptoms of respiratory disease and malignancy were found to be significant risk factors predicting postoperative morbidity (P < 0.05). Using these four variables, a simple preoperative risk scoring system has been defined. Class A (up to 5 points) was defined as a low-risk group (systemic complication rate 5.0 per cent), class B (5-7 points) was intermediate risk (systemic complication rate 17.9 per cent) and class C (8-10 points) was high risk (systemic complication rate 33.3 per cent). Patients at high risk for perioperative and postoperative complications are more likely to be identified by this analysis than by using the ASA classification alone
  • 94. Fattori di rischio Klotz, H. P.; Candinas, D.; Platz, A.; Horvath, A.; Dindo, D.; Schlumpf, R.; Largiader, F. Preoperative risk assessment in elective general surgery. British Journal of Surgery. 83(12):1788-1791, December 1996 • La severità dell’intervento • ASA • Sintomi di malattia respiratoria • Tumore – Classe A:< 5 punti,basso rischio complicazioni sistemiche 5% – Classe B:5-7 punti,rischio intermedio,complicazioni sistemiche 17.9% – Classe C:8-10 punti ,alto rischio,complicazioni sistemiche 33.3%
  • 95. • usinSchouten, Olaf MD a; Poldermans, Don MD, PhD b; Visser, Loes MD b; Kertai, Miklos D. MD c; Klein, Jan MD, PhD b; van Urk, Hero MD, PhD a; Simoons, Maarten L. MD, PhD c; van de Ven, Louis L. MD, PhD c; Vermeulen, Maarten MSc c; Bax, Jeroen J. MD, PhD d; Lameris, Thomas W. MD, PhD c; Boersma, Eric PhD c Fluvastatin and bisoprolol for the reduction of perioperative cardiac mortality and morbidity in high-risk patients undergoing non-cardiac surgery: Rationale and design of the DECREASE-IV study. American Heart Journal. 148(6):1047-1052, December 2004
  • 96. Eur J Vasc Endovasc Surg. 2004 Oct;28(4):343-52. Links A combination of statins and beta-blockers is independently associated with a reduction in the incidence of perioperative mortality and nonfatal myocardial infarction in patients undergoing abdominal aortic aneurysm surgery. Kertai MD, Boersma E, Westerhout CM, Klein J, Van Urk H, Bax JJ, Roelandt JR, Poldermans D . • Department of Cardiology, Erasmus MC, Rotterdam, The Netherlands. • OBJECTIVE: To investigate the combined beneficial effect of statin and beta-blocker use on perioperative mortality and myocardial infarction (MI) in patients undergoing abdominal aortic aneurysm surgery (AAA). BACKGROUND: Patients undergoing elective AAA-surgery identified by clinical risk factors and dobutamine stress echocardiography (DSE) as being at high-risk often have
  • 97. Eur J Vasc Endovasc Surg. 2004 Oct;28(4):343-52. Links A combination of statins and beta-blockers is independently associated with a reduction in the incidence of perioperative mortality and nonfatal myocardial infarction in patients undergoing abdominal aortic aneurysm surgery. Kertai MD, Boersma E, Westerhout CM, Klein J, Van Urk H, Bax JJ, Roelandt JR, Poldermans D. • 570 pazienti sottoposti a chirurgic dell’aorta addominale • Perioperative mortality or MI occurred in 51 (8.9%) patients. • Perioperative mortality or MI significantly lower in statin users compared to nonusers (3.7% vs. 11.0%; crude odds ratio (OR): 0.31, 95% confidence interval (CI): 0.13-0.74; p=0.01). • Beta-blocker use was also associated with a significant reduction in the composite endpoint (OR: 0.24, 95% CI: 0.11-0.54). • Patients using a combination of statins and beta-blockers appeared to be at lower risk for the composite endpoint across multiple cardiac risk strata; particularly patients with 3 or more risk factors experienced significantly lower perioperative events. CONCLUSIONS: A combination of statin and beta-blocker use in patients with AAA-surgery is associated with a reduced incidence of perioperative mortality and nonfatal MI particularly in patients at the highest risk. •
  • 98. PhD; Eaton, Charles B. MD; Poses, Roy M. MD; Uttley, Georgette RN; Sharma, Satish C. MD; Vezeridis, Michael MD; Khuri, Shukri F. MD; Friedmann, Peter D. MD Preoperative Hematocrit Levels and Postoperative Outcomes in Older Patients Undergoing Noncardiac Surgery. JAMA. 297(22):2481-2488, June 13, 2007 • . Context: Elderly patients are at high risk of both abnormal hematocrit values and cardiovascular complications of noncardiac surgery. Despite nearly universal screening of patients for abnormal preoperative hematocrit levels, limited evidence demonstrates the adverse effects of preoperative anemia or polycythemia. • Objective: To evaluate the prevalence of preoperative anemia and polycythemia and their effects on 30-day postoperative outcomes in elderly veterans undergoing major noncardiac surgery. • Design: Retrospective cohort study using the VA National Surgical Quality Improvement Program database. Based on preoperative hematocrit levels, we stratified patients into standard categories of anemia (hematocrit <39.0%), normal hematocrit (39.0%-53.9%), and polycythemia (hematocrit >=54%). We then estimated increases in 30-day postoperative cardiac event and mortality risks in relation to each hematocrit point deviation from the normal category. • Setting and Patients: A total of 310 311 veterans aged 65 years or older who underwent major noncardiac surgery between 1997 and 2004 in 132 Veterans' Affairs medical centers across the United States.
  • 99. Wu, Wen-Chih MD; Schifftner, Tracy L. MS; Henderson, William G. PhD; Eaton, Charles B. MD; Poses, Roy M. MD; Uttley, Georgette RN; Sharma, Satish C. MD; Vezeridis, Michael MD; Khuri, Shukri F. MD; Friedmann, Peter D. MD Preoperative Hematocrit Levels and Postoperative Outcomes in Older Patients Undergoing Noncardiac Surgery. JAMA. 297(22):2481-2488, June 13, 2007 • Main Outcome Measures: The primary outcome measure was 30-day postoperative mortality; a secondary outcome measure was composite 30- day postoperative mortality or cardiac events (cardiac arrest or Q-wave myocardial infarction). • Results: Thirty-day mortality and cardiac event rates increased monotonically, with either positive or negative deviations from normal hematocrit levels. We found a 1.6% (95% confidence interval, 1.1%-2.2%) increase in 30-day postoperative mortality associated with every percentage-point increase or decrease in the hematocrit value from the normal range. Additional analyses suggest that the adjusted risk of 30-day postoperative mortality and cardiac morbidity begins to rise when hematocrit levels decrease to less than 39% or exceed 51%. • Conclusions: Even mild degrees of preoperative anemia or polycythemia were associated with an increased risk of 30-day postoperative mortality and cardiac events in older, mostly male veterans undergoing major noncardiac surgery. Future studies should determine whether these findings are reproducible in other populations and if preoperative management of
  • 100. Wu, Wen-Chih MD; Schifftner, Tracy L. MS; Henderson, William G. PhD; Eaton, Charles B. MD; Poses, Roy M. MD; Uttley, Georgette RN; Sharma, Satish C. MD; Vezeridis, Michael MD; Khuri, Shukri F. MD; Friedmann, Peter D. MD Preoperative Hematocrit Levels and Postoperative Outcomes in Older Patients Undergoing Noncardiac Surgery. JAMA. 297(22):2481-2488, June 13, 2007 • Anche piccole deviazioni da un HCT normale influenzano morbilità e mortalità nel paz anziano……….
  • 101. Murray, P. 1,*; Whiting, P. 1; Hutchinson, S. P. 1; Ackroyd, R. 2; Stoddard, C. J. 2; Billings, C. 3 Preoperative shuttle walking testing and outcome after oesophagogastrectomy. BJA: British Journal of Anaesthesia. 99(6):809-811, December 2007. • Background: Objective assessment of cardiorespiratory reserve has been recommended before major surgery to identify patients with impaired oxygen delivery who may be at increased operative risk. Access to formal cardiopulmonary exercise (CPX) testing is limited outside larger centres. Following a previous audit of morbidity and mortality after oesophagectomy, we decided to add a simpler form of exercise test to our preoperative screen and review the outcomes. • Methods: Fifty-one patients who had surgical resection of an oesophageal cancer in our unit between April 2002 and April 2005 carried out an incremental shuttle walk exercise test before operation. Thirty-day outcome data were collected for each patient. • Results: Overall mortality in the group was 10%. No patient who walked 350 m or more died within 30 days. Five of the eight patients who could not achieve this distance died and two others remained in the critical care unit at 30 days. • Conclusion: Preoperative shuttle walk testing using a standard protocol appears to be a sensitive indicator of operative risk in this group of patients. The apparent threshold value of 350 m is consistent with previously reported measures of functional capacity obtained using formal CPX testing
  • 102. Murray, P. 1,*; Whiting, P. 1; Hutchinson, S. P. 1; Ackroyd, R. 2; Stoddard, C. J. 2; Billings, C. 3 Preoperative shuttle walking testing and outcome after oesophagogastrectomy. BJA: British Journal of Anaesthesia. 99(6):809-811, December 2007. • Mortalità e ricoveri prolungati nei pazienti candidati ad esofagectomia che non camminano > 350 m.
  • 103. • Dillioglugil, Ozdal; Leibman, Bryan D.; Leibman, Neville S.; Kattan, Michael W.; Rosas, Alejandro L.; Scardino, Peter T. Risk Factors for Complications and Morbidity After Radical Retropubic Prostatectomy. Journal of Urology. 157(5):1760-1767, May 1997. Purpose: With recognition of the efficacy of surgical therapy for prostate cancer, there has been a marked increase in the number of radical prostatectomies performed, and substantial changes in surgical technique and
  • 104. Prostatectomia radicale retropubica: Dillioglugil, Ozdal; Leibman, Bryan D.; Leibman, Neville S.; Kattan, Michael W.; Rosas, Alejandro L.; Scardino, Peter T. Risk Factors for Complications and Morbidity After Radical Retropubic Prostatectomy. Journal of Urology. 157(5):1760-1767, May 1997 • Complicanze maggiori e mortalità associate con: • ASA • Perdite ematiche intraop
  • 105.
  • 106. Bennett-Guerrero, Elliott M.D. *; Panah, Michael H. M.D. +; Robin Barclay, G. Ph.D. ++; Bodian, Carol A. Dr.P.H. [S]; Winfree, Wanda J. B.S.N. [//]; Andres, Lewis A. B.S. #; Reich, David L. M.D. **; Mythen, Michael G. M.D. ++ Decreased Endotoxin Immunity Is Associated with Greater Mortality and/or Prolonged Hospitalization after Surgery. Anesthesiology. 94(6):992-998, June 2001 • Background: Patients undergoing noncardiac surgery often develop postoperative morbidity, potentially attributable to endotoxemia and the systemic inflammatory response syndrome. Endogenous antibodies to endotoxin may confer protection from endotoxin-mediated toxicity. The authors sought to determine the association of preoperative antiendotoxin immunity and death or prolonged hospitalization in a broad population of general surgical patients undergoing major surgery. • Methods: To test the hypothesis that low preoperative serum antiendotoxin core antibody (EndoCAb) concentration is an independent predictor of adverse outcome after general surgery, 1,056 patients undergoing routine noncardiac surgery were enrolled into a prospective, blinded, cohort study. Immunoglobulin M EndoCAb, immunoglobulin G EndoCAb, total immunoglobulin M, and immunoglobulin G concentrations were measured in serum obtained preoperatively. A physiologic risk score using the established POSSUM criteria was assigned preoperatively to each patient. The primary predefined composite end point (postoperative complication) was either in-hospital death or postoperative length of stay greater than 10 days. Multivariate logistic regression was used to test the study hypothesis.
  • 107. Bennett-Guerrero, Elliott M.D. *; Panah, Michael H. M.D. +; Robin Barclay, G. Ph.D. ++; Bodian, Carol A. Dr.P.H. [S]; Winfree, Wanda J. B.S.N. [//]; Andres, Lewis A. B.S. #; Reich, David L. M.D. **; Mythen, Michael G. M.D. ++ Decreased Endotoxin Immunity Is Associated with Greater Mortality and/or Prolonged Hospitalization after Surgery. Anesthesiology. 94(6):992-998, June 2001 • Results: Overall, postoperative complication occurred in 234 of the 1,056 patients (22.1%). Lower immunoglobulin M EndoCAb concentration (P = 0.006) predicted increased risk of postoperative complication independent of POSSUM physiologic risk score (P < 0.001). In contrast, total immunoglobulin M and total immunoglobulin G concentrations did not predict adverse outcome. Complications involved multiple organ systems and were generally unrelated to the type or site of surgery, consistent with the systemic inflammatory response syndrome. • Conclusions: Adverse outcome after routine noncardiac surgery is common and is predicted in part by low concentrations of EndoCAb. The authors' findings suggest that endotoxemia may be a cause of postoperative morbidity after routine noncardiac surgery
  • 108. Bennett-Guerrero, Elliott M.D. *; Panah, Michael H. M.D. +; Robin Barclay, G. Ph.D. ++; Bodian, Carol A. Dr.P.H. [S]; Winfree, Wanda J. B.S.N. [//]; Andres, Lewis A. B.S. #; Reich, David L. M.D. **; Mythen, Michael G. M.D. ++ Decreased Endotoxin Immunity Is Associated with Greater Mortality and/or Prolonged Hospitalization after Surgery. Anesthesiology. 94(6):992-998, June 2001 • low preoperative serum antiendotoxin core antibody (EndoCAb) concentration is an independent predictor of adverse outcome
  • 109. • Lower immunoglobulin M EndoCAb concentration (P = 0.006) predicted increased risk of postoperative complication independent of POSSUM physiologic risk score (P < 0.001). In contrast, total immunoglobulin M and total immunoglobulin G concentrations did not predict adverse outcome. Complications involved multiple organ systems and were generally unrelated to the type or site of surgery, consistent with the systemic inflammatory response syndrome.
  • 110. • BERLAUK, JON F. M.D. *; ABRAMS, JEROME H. M.D. +; GILMOUR, IAN J. M.D. *; O'CONNOR, S. RHIANNON M.D. *; KNIGHTON, DAVID R. M.D. +; CERRA, FRANK B. M.D. + Preoperative Optimization of Cardiovascular Hemodynamics Improves Outcome in Peripheral Vascular Surgery. Annals of Surgery. 214(3):289-299, September 1991. The hypothesis that optimizing hemodynamics using pulmonary artery (PA) catheter (preoperative 'tune-up') would improve
  • 111. BERLAUK, JON F. M.D. *; ABRAMS, JEROME H. M.D. +; GILMOUR, IAN J. M.D. *; O'CONNOR, S. RHIANNON M.D. *; KNIGHTON, DAVID R. M.D. +; CERRA, FRANK B. M.D. + Preoperative Optimization of Cardiovascular Hemodynamics Improves Outcome in Peripheral Vascular Surgery. Annals of Surgery. 214(3):289-299, September 1991 Ottimizzazione dell’emodinamica(tune up invasivo con PA catetere,ottenuto con riduzione del postcarico,miglioramento inotropico e riempimento volemico , in pazienti candidati a chirurgia vascolare degli arti inferiori riduceva : • eventi avversi intraop • morbiditò postop • l’incidenza di trombosi dei graft. La mortalità generale era del 3.4%, ,ma del 9.5% nel gruppo di controllo e dell’ 1.5% nel gruppo trattato .
  • 112. • PA catheter improves outcome……….
  • 113. Wiklund, Richard A. MD Preoperative preparation of patients with advanced liver disease. Critical Care Medicine. CRITICAL SURGICAL ILLNESS: PREOPERATIVE ASSESSMENT AND PLANNING. 32(4) Supplement:S106-S115, April 2004. • Objective: To review the characteristic features of patients with advanced liver disease that may lead to increased perioperative morbidity and mortality rates. • Design: Literature review. • Results: Patients with end-stage liver disease are at high risk of major complications and death following surgery. The most common complications are secondary to acute liver failure and include severe coagulopathy, encephalopathy, adult respiratory distress syndrome, acute renal failure, and sepsis. The degree of malnutrition, control of ascites, level of encephalopathy, prothrombin time, concentration of serum albumin, and concentration of serum bilirubin predict the risk of complications and death following surgery. Other determinants of adverse outcome include emergency surgery, advanced age, and cardiovascular disease. Portal hypertension is a prominent feature of advanced liver disease, and it predisposes the patient to variceal hemorrhage, hepatorenal syndrome, hepatopulmonary syndrome, and uncontrolled ascites. Portal hypertension can be ameliorated by
  • 114. Fattori di rischio nei pazienti con malattia epatica avanzata • degree of malnutrition • control of ascites • level of encephalopathy • prothrombin time • concentration of serum albumin • and concentration of serum bilirubin • emergency surgery • advanced age • cardiovascular disease.
  • 115. • Risk Assessment for and Strategies To Reduce Perioperative Pulmonary Complications for Patients Undergoing Noncardiothoracic Surgery: A Guideline from the American College of Physicians • Amir Qaseem, MD, PhD, MHA; Vincenza Snow, MD; Annals of Internal medicine 18 April 2006 | Volume 144 Issue 8 | Pages 575-580
  • 116. • Vedi le considerazioni finali del mio scritto………..
  • 117. Relazione fra ASA PS e complicanze polmonari
  • 118. • Multivariate analysis found that portal clamping (P = 0[middle dot]023) and perioperative blood transfusion (P < 0[middle dot]001) were risk factors for morbidity, whereas perioperative blood transfusion (P < 0[middle dot]001) was the only risk factor for significant morbidity. Co-morbid illness (P = 0[middle dot]019) and perioperative blood transfusion (P = 0[middle dot]004) were risk factors for perioperative mortality
  • 119. Strategie tese alla riduzione delle complicanze postop • Lawrence VA, Cornell JE, Smetana GW. Strategies to reduce postoperative pulmonary complications after noncardiothoracic surgery: systematic review for the American College of Physicians. Ann Intern Med. 2005;144:596-608. • Tutte le tecniche di espansione polmonare : – spirometria incentiva – terapia fisica – provocazione della tosse – drenaggio posturale – percussione e vibrazione – Aspirazione – Deambulazione – IPPB – CPAP • hanno dimostrato superiorità rispetto ai controlli dopo chirurgia addominale. • Non differenze fra le diverse modalità di espansione ,né dalla loro combinazione.
  • 120. decompressione nasogastrica selettiva • effettuata nei pazienti con PONV ,incapaci di assumere nutrizione orale o con distensione addominale – diminuisce la frequenza di polmonite ed atelettasia nei confronti della decompression econ sondino routinaria ,finche cioè non ritorni la motilità gastrointestinale. – Cheatham ML, Chapman WC, Key SP, Sawyers JL. A meta-analysis of selective versus routine nasogastric decompression after elective laparotomy. Ann Surg. 1995;221:469-76. – Nelson R, Tse B, Edwards S. Systematic review of prophylactic nasogastric decompression after abdominal operations. Br J Surg. 2005;92:673-80. – Nelson R, Edwards S, Tse B. Prophylactic nasogastric decompression after abdominal surgery. Cochrane Database Syst Rev. 2005.
  • 121. Introduction Selection of high-risk surgical patients for preoperative and perioperative admission to an intensive therapy unit (ITU) for enhancement of oxygen delivery may reduce postoperative morbidity and mortality rates. Limited resources may prevent admission of all suitable patients. This study examined whether it is possible to select patients most at risk and thus reduce surgical morbidity and mortality rates when ITU services are limited. Comparison of outcome after colorectal resection among different surgeons is difficult. Crude rates of morbidity and mortality can be misleading because such rates make no allowance for differences in case mix and fitness of patients. Direct comparison of individual surgeon's performance based on crude rates of morbidity and mortality can be misleading. Risk-adjusted analysis allows more meaningful comparisons
  • 122. Valutazione del rischio cardiaco in chirurgia non cardiaca C.Melloni Libero professionista Consulente di anestesia per Villa Torri,Villa Chiara,Poliambulatorio Gynepro Bologna
  • 123. Revised cardiac index . Lee TH, Marcantonio ER, Mangione CM, Thomas EJ, Polanczyk CA, Cook EF, Sugarbaker DJ, Donaldson MC, Poss R, Ho KK, Ludwig LE, Pedan A, Goldman L: Derivation and Prospective Validation of a Simple Index for Prediction of Cardiac Risk of Major Noncardiac Surgery. Circulation 1999; 100: 1043-1049 • • High risk surgery • – intraperitoneal, intrathoracic or suprainguinal vascular procedures • • Ischemic heart disease • • H/O CHF • • H/O Cerebrovascular disease • • Insulin therapy for DM • • Preop Cr>2.0mg/dl
  • 124. • Eagle KA, Berger PB, Calkins H, Chaitman BR, Ewy GA, Fleischmann KE, Fleisher LA, Froehlich JB, Gusberg RJ, Leppo JA, Ryan T, Schlant RC, Winters WL, Jr., Gibbons RJ, Antman EM, Alpert JS,Faxon DP, Fuster V, Gregoratos G, Jacobs AK, Hiratzka LF, Russell RO, Smith SC, Jr.: ACC/AHA guideline update for perioperative cardiovascular evaluation for noncardiac surgery--- executive summary a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Committee to Update the 1996 Guidelines on Perioperative Cardiovascular Evaluation for Noncardiac Surgery). Circulation 2002;105: 1257-67
  • 125. Weksler N, Klein M, Szendro G, Rozentsveig V, Schily M, Brill S, Tarnopolski A, Ovadia L, Gurman GM: The dilemma of immediate preoperative hypertension: to treat and operate, or to postpone surgery? J Clin Anesth 2003; 15: 179-83 • There is a great deal of debate regarding a trigger to delay or cancel a surgical procedure in a patient with poorly or untreated hypertension • In the absence of end-organ changes, such as renal insufficiency or left ventricular hypertrophy with strain, it would seem appropriate to proceed with surgery. • A randomized trial of treated hypertensive patients without known CAD who presented the morning of surgery with an elevated diastolic blood pressure was unable to demonstrate any difference in outcome between those who were actively treated versus those in whom surgery was delayed. • In contrast, a patient with a markedly elevated blood pressure and the new onset of a headache should have surgery delayed for further evaluation and potential treatment..
  • 126. Howell SJ, Sear YM, Yeates D, Goldacre M, Sear JW, Foëx P. Hypertension, admission blood pressure and perioperative cardiovascular risk. Anaesthesia 1996;51:1000-1004. • A retrospective case-controlled study which found that a history of hypertension was an important predictor for perioperative cardiac death but not admission blood pressure. • The study implies that end-organ damage resulting from hypertension is the likely villain in this group of patients.
  • 127. • Importance of Surgical Procedure • The surgical procedure influences the extent of the preoperative evaluation required by determining the potential range of changes in perioperative management. There is little hard data to define the surgery specific incidence of complications, and the rate may be very institution depedendent. Eagle et. al. published data on the incidence of perioperative myocardial infarction and mortality by procedure for patients enrolled in the coronary artery surgery study (CASS).6 Higher risk procedures for which coronary artery bypass grafting reduced the risk of noncardiac surgery compared to medical therapy include major vascular, abdominal, thoracic, and orthopedic surgery. Ambulatory procedures denote low risk. Vascular surgery represents a unique group of patients in whom there is extensive evidence regarding preoperative testing and perioperative interventions.
  • 128. • Importance of exercise tolerance • Exercise tolerance is one of the most important determinants of perioperative risk and the need for invasive monitoring. If a patient can walk a mile without becoming short of breath, than the probability of extensive coronary artery disease is small. Alternatively, if patients become dyspneic associated with chest pain during minimal exertion, then the probability of extensive coronary artery disease is high. Reilly and colleagues demonstrated that the likelihood of a serious complication occurring was inversely related to the number of blocks that could be walked or flights of stairs that could be climbed.7 Exercise tolerance can be assessed with formal treadmill testing or with a questionnaire that assesses activities of daily living.
  • 129. • Reilly DF, McNeely MJ, Doerner D, Greenberg DL, Staiger TO, Geist MJ, Vedovatti PA, Coffey JE, Mora MW, Johnson TR, Guray ED, Van Norman GA, Fihn SD: Self-reported exercise tolerance and the risk of serious perioperative complications. Arch Intern Med 1999; 159: 2185-92
  • 130. • Fleisher LA, Beckman JA, Brown KA, Calkins H, Chaikof E, Fleischmann KE, Freeman WK, Froehlich JB, Kasper EK, Kersten JR, Riegel B, Robb JF, Smith SC, Jr., Jacobs AK, Adams CD, Anderson JL, Antman EM, Faxon DP, Fuster V, Halperin JL, Hiratzka LF, Hunt SA, Lytle BW, Nishimura R, Page RL, Riegel B: ACC/AHA 2006 guideline update on perioperative cardiovascular evaluation for noncardiac surgery: focused update on perioperative beta-blocker therapy: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Writing Committee to Update the 2002 Guidelines on Perioperative Cardiovascular Evaluation for Noncardiac Surgery): developed in collaboration with the American Society of Echocardiography, American Society of Nuclear Cardiology, Heart Rhythm Society, Society of Cardiovascular Anesthesiologists, Society for Cardiovascular Angiography and Interventions, and Society for Vascular Medicine and Biology. Circulation 2006; 113: 2662-74.
  • 131. • Yang H, Raymer K, Butler R, Parlow J, Roberts R: The effects of perioperative beta-blockade: results of the Metoprolol after Vascular Surgery (MaVS) study, a randomized controlled trial. Am Heart J 2006; 152: 983-90 • Juul AB, Wetterslev J, Gluud C, Kofoed-Enevoldsen A, Jensen G, Callesen T, Norgaard P, Fruergaard K, Bestle M, Vedelsdal R, Miran A, Jacobsen J, Roed J, Mortensen MB, Jorgensen L, Jorgensen J, Rovsing ML, Petersen PL, Pott F, Haas M, Albret R, Nielsen LL, Johansson G, Stjernholm P, Molgaard Y, Foss NB, Elkjaer J, Dehlie B, Boysen K, Zaric D, Munksgaard A, Madsen JB, Oberg B, Khanykin B, Blemmer T, Yndgaard S, Perko G, Wang LP, Winkel P, Hilden J, Jensen P, Salas N: Effect of perioperative beta blockade in patients with diabetes undergoing major non-cardiac surgery: randomised placebo controlled, blinded multicentre trial. Bmj 2006; 332: 1482 • Wallace AW, Galindez D, Salahieh A, Layug EL, Lazo EA, Haratonik KA, Boisvert DM, Kardatzke D: Effect of clonidine on cardiovascular morbidity and mortality after noncardiac surgery. Anesthesiology 2004; 101: 284-93. • Hindler K, Shaw AD, Samuels J, Fulton S, Collard CD, Riedel B: Improved postoperative outcomes associated with preoperative statin therapy. Anesthesiology 2006; 105: 1260- 72. Durazzo AE, Machado FS, Ikeoka DT, De Bernoche C, Monachini MC, Puech-Leao P, Caramelli B: Reduction in cardiovascular events after vascular surgery with atorvastatin:
  • 133. Key words • perioperative risk • cardiac risk, • noncardiac surgery, • intraoperative risk, • postoperative risk, • risk stratification, • cardiac complication, • cardiac evaluation, • perioperative care, • preoperative evaluation, • preoperative assessment • intraoperative complications.
  • 134. Scopi della valutazione cardiaca preop • 1)identificazione dei pazienti con rischio cardiaco troppo alto,non accettabile • 2)identificazione dei paz con malattia cardiaca che possono essere migliorati o curati preop. • 3)identificazione dei pazienti che possono beneficiare di intervento di CABG
  • 135. Come può la visita preop modificare il trattamento?
  • 136. Fattori che determinano il rischio cardiaco periop • Marcatori clinici • Capacità funzionale • Intervento chirurgico
  • 137. • The overriding theme of this document is that intervention is rarely necessary to simply lower the risk of surgery unless such intervention is indicated irrespective of the preoperative context. • The purpose of preoperative evaluation is not to give medical clearance but rather to perform an evaluation of the patient’s current medical status; make recommendations concerning the evaluation, management, and risk of cardiac problems over the entire perioperative period; and provide a clinical risk profile that the patient, primary physician, and nonphysician caregivers, anesthesiologist, and surgeon can use in making treatment decisions that may influence short- and long-term cardiac outcomes. • No test should be performed unless it is likely to influence patient treatment. • The goal of the consultation is the optimal care of the patient
  • 138. Condizioni associate ad alto rischio per complicanze cardiovascolari perioperatorie • Presenza dei fattori predittivi di aumentato rischio cardiovascolare periop • Scarsa capacità funzionale(<4 MET) • Chirurgia ad alto rischio (rischio cardiovascolare periop > 5%)
  • 139. Active Cardiac Conditions for Which the Patient Should Undergo Evaluation and Treatment Before Noncardiac Surgery (Class I, Level of Evidence: B):major clinical predictors
  • 140. Estimated Energy Requirements for Various Activities
  • 141. Cardiac evaluation and care algorithm for noncardiac surgery based on active clinical conditions, known cardiovascular disease, or cardiac risk factors for patients 50 years of age or greater. *
  • 142. • See Table 2 for active clinical conditions. • †See Table 3 for estimated MET level equivalent. ‡Clinical risk factors include ischemic heart disease, compensated or prior HF, diabetes mellitus, renal insufficiency, and cerebrovascular disease. §Consider perioperative beta blockade (see Table 11) for populations in which this has been shown to reduce cardiac morbidity/mortality. ACC/AHA indicates American College of Cardiology/American Heart Association; HR, heart rate; LOE, level of evidence; and MET, metabolic equivalent
  • 143. Cardiac Risk* Stratification for Noncardiac Surgical Procedures
  • 144. Scopi dei test aggiuntivi cardiovascolari • Fornire una misura obbiettiva di capacità funzionale • Identificare una ischemia preop miocardica importante • Diagnosticare aritmie cardiache rilevanti • Stimare il rischio cardiaco periop e definire una prognosi
  • 145.
  • 146. Dipiridamolo tallio • the presence of a redistribution defect on dipyridamole thallium imaging in patients undergoing peripheral vascular surgery is predictive of postoperative cardiac events. In order to increase the predictive value of the test, several strategies have been suggested. Lung uptake, left ventricular cavity dilation, and redistribution defect size have all been shown to be predictive of subsequent morbidity.10
  • 147. Dobutamine stress test • Dobutamine stress echocardiography has been suggested as the best preoperative test in several recent meta-analyses.11 The appearance of new or worsened regional wall motion abnormalities is considered a positive test. The advantage of this test is that it is a dynamic assessment of ventricular function. Dobutamine echocardiography has also been studied and was found to have among the best positive and negative predictive values. Poldermans et al. demonstrated that the group at greatest risk were those who demonstrated regional wall motion abnormalities at low heart rates.12 The presence of 5 or more segments of new regional wall motion abnormalities denotes a high risk group who did not benefit from perioperative beta blockade in one trial.13 Beattie and colleagues performed a meta-analysis of stress echocardiography versus thallium imaging and demonstrate that stress echocardiography has better negative predicative characteristics.11 A moderate-to-large perfusion defect by either test predicted postoperative MI and death
  • 148. Noninvasive Stress Testing Recommendations for Noninvasive Stress Testing Before Noncardiac Surgery • CLASS I • 1. Patients with active cardiac conditions (see Table 2) in whom noncardiac surgery is planned should be evaluated and treated per ACC/AHA guidelines† before noncardiac surgery. (Level of Evidence: B) • CLASS IIa • 1. Noninvasive stress testing of patients with 3 or more clinical risk factors and poor functional capacity (less than 4 METs) who require vascular surgery‡ is reasonable if it will change management. (Level of Evidence: B) • CLASS IIb • 1. Noninvasive stress testing may be considered for patients with at least 1 to 2 clinical risk factors and poor functional capacity (less than 4 METs) who require intermediate-risk noncardiac surgery if it will change management. (Level of Evidence: B) • 2. Noninvasive stress testing may be considered for patients with at least 1 to 2 clinical risk factors and good functional capacity (greater than or equal to 4 METs) who are undergoing vascular surgery. (Level of Evidence: B) • CLASS III • 1. Noninvasive testing is not useful for patients with no clinical risk factors undergoing ntermediate-risk noncardiac surgery. (Level of Evidence: C) • 2. Noninvasive testing is not useful for patients undergoing low-risk noncardiac surgery. (Level of Evidence: C)
  • 149. Razionale dei test non invasivi preop nella valutazione del rischio Test non invasivi Paz con valori del test anormali Valori predittivi per morte o MI periop Positivo : negativo Monitoraggio ECG ambulat 9-39% 4-15 1-16 Esercizio con monitoraggio ECG 16-70% 5-25 90-100 Dipiridamolo-tallio Chir vasc 22-69 4-20 95-100 Chir non vasc 23-47 8-27 98-100 Eco cardio grafia 23-50 7-23 93-100 stress dobutamina
  • 150. EF preop e outcome cardiaco postop. (Franco et al,J Vasc Surg 10;656:1989) EF>55% EF 35-55% N=50 N=20 EF 20-35% N=15 MI 19% 15% 20% Morte 0 0 13%
  • 151. Chir vasc dopo precedente rivascolarizzazio ne Chir vascolare senza prec edente rivascolarizzazio ne Complicazioni % Mortalità % Complicazioni % Mortalità % angiografia 0.2-0.5 0.1-0.5 - - PTCA/CABG 3-13 1-5.5 - - Chir vasc 0.3-2 0.3-0.4 0.6-11.7 0.6-10 Rischio globale 3.5-10.5 1.4-12.4 0.6-11.7 0.8-10 Ma…….. Le arterie coronarie rivascolarizzate Le stenosi coronariche immodificate Diminuiscono il rischio cardiovascolare a lungo termine Aumentano il rischio cardiaco a lungo termine Rischio globale a lungo termine ?? ?? Sono comparabili?? ??
  • 152. Outcome cardiaco per chirurgia maggiore non cardiaca Eagle et al,Circulation 1997 96 1892-7 N=395 N=582 N=964
  • 153. Cardiac outcome in low risk surgery:n=1297
  • 154. Incidenza di mortalità periop in pazienti con CAD(n=1632) Eagle et al High risk surgery >=4% Low risk surgery<=4% Abdominal 4% Urologic 1.8 Vascolare 11.3 Orthopedic 1.2 Thoracic 7.7 Skin 0 Head neck 7.3 Miscellaneous 3
  • 155. Cardiac outcome in noncardiac surgery following CABG
  • 156. Class I indications for preop coronary angiography in non cardiac surgery • High risk results during non invasive testing • Amgina pectoris unresponsive to adequate medical therapy • Most patients with unstable angina pectoris • Nondiagnostic or equivocal noninvasive test result in a high risk patient undergoing a high risk noncardiac surgical procedure
  • 157. Proposed approach to the management of patients with previous percutaneous coronary intervention (PCI) who require noncardiac surgery, based on expert opinion
  • 158. Perioperative Beta-Blocker Therapy Recommendations for Beta-Blocker Medical Therapy • CLASS I • 1. Beta blockers should be continued in patients undergoing surgery who are receiving beta blockers to treat angina, symptomatic arrhythmias, hypertension, or other ACC/AHA class I guideline indications. (Level of Evidence: C) • 2. Beta blockers should be given to patients undergoing vascular surgery who are at high cardiac risk owing to the finding of ischemia on preoperative testing. (Level of Evidence: B) • CLASS IIa • 1. Beta blockers are probably recommended for patients undergoing vascular surgery in whom preoperative assessment identifies CHD. (Level of Evidence: B) • 2. Beta blockers are probably recommended for patients in whom preoperative assessment for vascular surgery identifies high cardiac risk, as defined by the presence of more than 1 clinical risk factor.* (Level of Evidence: B) • 3. Beta blockers are probably recommended for patients in whom preoperative assessment identifies CHD or high cardiac risk, as defined by the presence of more than 1 clinical risk factor,* who are undergoing intermediate-risk or vascular surgery. (Level of Evidence: B) • CLASS IIb • 1. The usefulness of beta blockers is uncertain for patients who are undergoing either intermediate-risk procedures or vascular surgery, in whom preoperative assessment identifies a single clinical risk factor.* (Level of Evidence: C) • 2. The usefulness of beta blockers is uncertain in patients undergoing vascular surgery with no clinical risk factors who are not currently taking beta blockers. (Level of Evidence: B) • CLASS III • 1. Beta blockers should not be given to patients undergoing surgery who have absolute contraindications to beta blockade. (Level of Evidence: C)
  • 159. Indicazioni ai beta bloccanti • i betabloccanti devono essere continuati nel periop per coloro che li assumono per indicazione di angina,aritmie sitomatiche,ipertensione o altre indicazioni delle linee guida ACC/AHA di classe I. • i betabloccanti devono essere somministrati ai candidati a chirurgia vascolare ad alto rischio cardiaco che presentino ischemia agli esami preop (Livello di evidenza B). • I beta bloccanti sono poi probabilmente indicati per i candidati a chirurgia vascolare nei quali la valutazione preop identifichi coronaropatia e/o un elevato rischio cardiaco ,definito come la presenza di più di 1 fattore di rischio clinico ,anche se vanno incontro a chirurgia classificata come rischio intermedio . • l’utilità dei betabloccanti rimane incerta in pazienti candidati a chirurgia di rischio intermedio o vascolare con un solo fattore di rischio clinico(Livello di evidenza C)e per i candidati a chir vascolare senza fattori di rischio e che non stanno assumendo i farmaci( Livello di evidenza B). • Ovviamente i betabloccanti non devono essere somministrati a coloro che presentano controindicazioni assolute al loro impiego. • In conclusione dosaggi terapeutici di betabloccanti devono essere utilizzati in pazienti ad alto-intermedio rischio cardiaco
  • 160. Bisoprolol and perioperative cardiac outcome Poldermans et al NEJM 1999;341;1789-94 Bisoprolol n=59 Standard care n=53 Cardiac death 2(3,4%) 9(17%) * Non fatal MI 0 9(17%) ** Total 2(3.4%) 18(34%) ** *=p<0.02 **=p<0.01
  • 161. Beta blockers • 1. Beta blockers should be continued in patients undergoing surgery who are receiving beta blockers to treat angina, symptomatic arrhythmias, hypertension, or other ACC/AHA class I guideline indications. (Level of Evidence: C) • 2. Beta blockers should be given to patients undergoing vascular surgery who are at high cardiac risk owing to the finding of ischemia on preoperative testing. (Level of Evidence: B) • CLASS IIa • 1. Beta blockers are probably recommended for patients undergoing vascular surgery in whom preoperative assessment identifies CHD. (Level of Evidence: B) • 2. Beta blockers are probably recommended for patients in whom preoperative assessment for vascular surgery identifies high cardiac risk, as defined by the presence of more than 1 clinical risk factor.* (Level of Evidence: B) • 3. Beta blockers are probably recommended for patients in whom preoperative assessment identifies CHD or high cardiac risk, as defined by the presence of more than 1 clinical risk factor,* who are undergoing intermediate-risk or vascular surgery. (Level of Evidence: B) • CLASS IIb • 1. The usefulness of beta blockers is uncertain for patients who are undergoing
  • 162. • In the absence of major contraindications therapeutic dosages of beta adrenergic antagonists should be given to patients with an intermediate or high risk of cardiac complications
  • 163. Periop statin therapy • Recommendations for Statin Therapy • CLASS I • 1. For patients currently taking statins and scheduled for noncardiac surgery, statins should be continued. (Level of Evidence: B) • CLASS IIa • 1. For patients undergoing vascular surgery with or without clinical risk factors, statin use is reasonable. (Level of Evidence: B) • CLASS IIb • 1. For patients with at least 1 clinical risk factor who are undergoing intermediate-risk procedures, statins may be considered. (Level of Evidence: C)
  • 164. terapia preoperatoria con statine • La terapia preoperatoria con statine deve essere continuata per coloro che le assumono già (livello di evidenza B); • la loro somministrazione è ragionevole per i candidati a chirurgia vascolare con o senza fattori di rischio clinici (livello di evidenza B): • Le statine possono essere prese in considerazione per i pazienti con almeno 1 fattore di rischio clinico candidati a chirurgia di rischio intermedio (livello di evidenza C)
  • 165. Levels of Thromboembolism Risk in Surgical Patients Without Prophylaxis
  • 166. Livelli di rischio tromboembolico in pazienti senza profilassi (Goertz et al 114 AHA/ACC DVT PE Livello di rischio polpa ccio prossimale Evento clinico fatale Strategia di prevenzione con successo Basso: Chir minore in paz <40 anni senza fattori di rischio 2 0.4 0.2 <0.01 No profilassi,deambulazio ne precoce,aggressiva Moderata: Chir minore in paz con fattori di rischio aggiuntivi; Chir in paz 40-60 anni senza fattori di rischio aggiuntivi 10-20 2-4 1-2 0.2- 0.4 Hep(ogni 12 h),LMWH <3400,GCS,IPC Alta: chir in paz>60 a tra 40-60 con FRA(VTE,cancro,ipercoagulabilità molecolare) 20-40 4-8 2-4 0.4-1 HEP ogni 8 h,LMWH>3400,Ipc Altissima: Chir in paz con fattori di rischio multipli Artroprotesi anca ,ginocchio Frattura anca Trauma maggiore Trauma midollare spinale 40-80 10-20 4-10 0.2-5 LMWH>3400,fondapar inux,Vit K antag p os(INR 2-3),IPC o GCS+LMWH o Hep FRA:fattori di rischio aggiuntivi : IPC;cpmpressione penumatica intermittente,
  • 167. Choice of Anesthetic Technique and Agent • Recommendations for Use of Volatile Anesthetic Agents • CLASS Iia 1. It can be beneficial to use volatile anesthetic agents during noncardiac surgery for the maintenance of general anesthesia in hemodynamically stable patients at risk for myocardial ischemia. (Level of Evidence: B)
  • 168. Perioperative Control of Blood Glucose Concentration • Recommendations for Perioperative Control of Blood • Glucose Concentration • CLASS IIa • 1. It is reasonable that blood glucose concentration be controlled ¶ during the perioperative period in patients with diabetes mellitus or acute hyperglycemia who are at high risk for myocardial ischemia or who are undergoing vascular and major noncardiac surgical procedures with planned ICU admission. (Level of Evidence: B) • CLASS IIb • 1. The usefulness of strict control of blood glucose concentration¶ during the perioperative period is uncertain in patients with diabetes mellitus or acute hyperglycemia who are undergoing noncardiac surgical procedures without planned ICU admission. Level of Evidence: C)
  • 169.
  • 170. Blood glucose control and mortality • Poor intraoperative control of blood glucose was an independent predictor of severe morbidity; mortality rate was increased in patients with poorly controlled glucose (11.4%) vs those with tightly controlled glucose (2.4%).
  • 171. Mortality % in diabetic patients with or without glucose control Glucose controlled Not controlled van den Berghe et al (496), 2001 4,6 8 Ouattara et al (500), 2005 2,4 11.4 McGirt et al (501), 2006 2.8-, 4.3-, and 3.3-fold increases in risk of stroke/TIA, MI, or death Gandhi et al (502), 2005 A 20-mg/dL increase in mean intraoperative glucose associated with a 30% increase in adverse events. Krinsley (505), 2003 42.5% among patients with mean glucose values in excess of 300 mg/dL. Finney et al (499), 2003 Increased administration of insulin was an independent predictor of ICU mortality; regression models demonstrated a mortality benefit if blood glucose was maintained < 144 to 200 mg/dL. Furnary et al (506), 2003 Continuous iv insulin was an independent predictor of survival. McAlister et al (508), 2003 Hyperglycemia was an independent predictor of adverse outcomes.
  • 172.
  • 173. a preoperative risk index for predicting postoperative respiratory failure (PRF).
  • 174. Ahsan M. Arozullah, MD, MPH,* Jennifer Daley, MD,† William G. Henderson, PhD,‡ and Shukri F. Khuri, MD,§ for the National Veterans Administration Surgical Quality Improvement Program Multifactorial Risk Index for Predicting Postoperative Respiratory Failure in Men After Major Noncardiac Surgery. ANNALS OF SURGERY Vol. • Objective 232, No. 2, 242–253 • To develop and validate a preoperative risk index for predicting postoperative respiratory failure (PRF). • prospective cohort study • 44 Veterans Affairs Medical Centers (n 5 81,719) were used to develop the models. Cases from 132 Veterans Affairs Medical Centers (n 5 99,390) were used as a validation sample. • PRF was defined as mechanical ventilation for more than 48 hours after surgery or reintubation and mechanical ventilation after postoperative extubation. • Ventilator-dependent, comatose, do not,resuscitate, and female patients were excluded. • respiratory care.
  • 175. Multifactorial Risk Index for Predicting Postoperative Respiratory Failure in Men After Major Noncardiac Surgery • Results • PRF developed in 2,746 patients (3.4%). • The respiratory failure risk index was developed from a simplified logistic regression model and included: – abdominal aortic aneurysm repair, – thoracic surgery, – neurosurgery, – upper abdominal surgery, – Peripheral vascular surgery, – neck surgery – emergency surgery, – albumin level l< than 30 g/L, – blood urea nitrogen level >than 30 mg/dL, – dependent functional status, – chronic obstructive pulmonary disease, – age>60

Editor's Notes

  1. Patients received thiopental for induction, opioid and potent inhalation anesthetic plus nitrous oxide for maintenance. Type of surgical procedure seems to not be an independent risk factor.