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Volume 1, Issue 3, Mar 2017 Available at: www.dbpublications.org
International e-Journal For Medical And Research-2017
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A Study On Clinical Profile Of Sepsis
Patients In Intensive Care Unit Of A
Tertiary Care Government Hospital In North
East India
Dr DEEPAK CHAUDHURY1
, Dr CHANDRAPRAKASH 2
, Dr
SUBHANKAR PAUL 3
, Dr ILIAS ALI4
1: Assistant professor, 2: Former post Graduate Trainee, 3: Post Graduate Trainee , 4: Professor &
Head,Department of Emergency Medicine , Gauhati Medical College & Hospital , Guwahati, Asaam
ABSTRACT
Background : Sepsis is life-threatening
organ dysfunction caused by a
dysregulated host response to infection
which is one of the most important cause
of mortality & morbidity in critically ill
patients. In this study clinical profiles of
the sepsis patients admitted in ICU in this
part of India have been evaluated.
Methods & Materials: This prospective
hospital based observational study was
undertaken in the department of
Emergency Medicine ICU of Gauhati
Medical College & Hospital, over a period
of one year from August 2014 to July 2015
after obtaining institutional ethical
committee clearance.
RESULTS: Clinical profiles of 50sepsis
patients, with male preponderance (56%)
& mortality rate 36% were studied. Mean
age was 48.36 years (SD ±17.16). fever &
tachycardia were present in all patients. 30
patients (60%) required ventilatory
support, 28 patients (56%) required
inotropic support, 10 patients (20%)
required dialysis. Gram negative bacteria
were found to be the predominant
pathogens associated with sepsis(73.4%)
where most common organism responsible
was Klebsiella (36.8%).
Conclusion : assessment of clinical signs
& initial serological & radiological
investigations are of utmost importance to
detect more critically ill patients as early
as possible to intervene earlier for saving
the life of the sepsis patients.
KEYWORDS: SEPSIS, MODS,
SPECIMEN CULTURE, SOFA,
APACHE
INTRODUCTION
Sepsis is the primary cause of death from
infection despite advances in modern
medicine, including antibiotics, vaccines,
and intensive care. Globally, an estimated
20 – 30 million cases of sepsis occurs each
year. Every hour, about 50 people die from
sepsis (1)
& Patients surviving sepsis
have double the risk of death in the
following 5 years compared with
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hospitalized controls and suffer from
physical, cognitive and affective health
problems (2)
.
Sepsis is often diagnosed too late, because
the clinical sign-symptoms and laboratory
parameters that are currently in use for the
diagnosis of sepsis eg. raised temperature,
increased heart-rate or breathing rate, or
white blood cell count, are non-specific. In
children, the signs and symptoms may be
subtle and deterioration rapid. Sepsis is
poorly understood and under-recognized
due to confusion about its definition
among patients and healthcare providers,
lack of documentation of sepsis as a cause
of death in death-certificates, inadequate
diagnostic tools, and inconsistent
application of standardized clinical
guidelines to diagnose & treat sepsis (3)
.
Cultures and serology reports are available
mostly after 24 to 48 hours. In the crucial
hours which determine the prognosis of
the patient the physician has to depend on
clinical symptoms and demographic data
to aid in diagnosis and management.
Hence our study was performed with a
view to have an insight of the clinical
profile of septic patients in the ICU so as
to diagnose, prognosticate & intervene
earlier.
MATERIALS & METHODS
This prospective hospital based
observational study was undertaken in the
department of Emergency Medicine ICU
of Gauhati Medical College & Hospital,
over a period of one year from August
2014 to July 2015 with prior approval
obtained from Institutional Ethical
Committee . The patients with sepsis ,as
defined by the American College of Chest
Physicians/Society of Critical Care
Medicine (ACCP/SCCM) Consensus
Committee in 1992 , above 18years of age
were included in the study. However
Patients with Pregnancy , primarily
suffering from Pancreatitis , adrenal
insufficiency , Burns, Pulmonary
embolism, Cardiac tamponade, Tumor-
associated lactic acidosis, drug overdose &
anaphylaxis, on treatment with
immunosuppressive agents were excluded
from the study. The detailed history,
clinical examination and all the relevant
laboratory investigations were done. All
the patients of sepsis admitted to
emergency ICU were prognosticated on
the basis of APACHE II score and SOFA
score. APACHE II was calculated on day
of admission to predict mortality & to
assess the extent of multi-organ
dysfunction daily SOFA scoring was
done. We have analyzed various profiles
between two groups, survivor group which
include the patients who were successfully
discharged after recovery and non-survivor
group which include the patients who died
.
Statistical Methods
Descriptive and inferential statistical
analysis has been carried out in the present
study. Results on continuous
measurements are presented on Mean±SD
(Min-Max) and results on categorical
measurements are presented in Number
(%). Significance is assessed at 5% level
of significance. Student t test (two-tailed,
independent) has been used to find the
significance of study parameters on
continuous scale between two groups Inter
group analysis) on metric parameters. Chi-
square/Fisher Exact test has been used to
find the significance of study parameters
on categorical scale between two or more
groups. All data were analyzed with SPSS
16.0 Microsoft word 10.0 and Excel have
been used to generate graphs & tables.
Results & observations
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After applying the inclusion & exclusion
criteria , clinical profiles of 50 patients
with sepsis were studied, out of which 28
were male(56%) and 22 were
females(44%). 18 patients( 36%) died and
32 patients (64%) survived in this study.
Age of patients varied from 18 years to 90
years, with mean 48.36 years (SD ±17.16).
Highest numbers of cases were seen the
age group of 61 to 70 years i.e. 12 patients
(24%) followed by 41 to 50 years in 10
cases (20%), 21 to 30 years in 9 cases
(18%) (Fig 1). Youngest patient in the
study is 18 years old. Oldest patient is 90
years
Fig 1 : Bar diagram showing Age
distribution of study population
24 patients (48%) patients had associated co-
morbidities , with diabetes being commonest
of them (n=14, 28%) (Fig 2) .
Fig 2: Pie diagram showing distribution of
existing co-morbidities in sepsis patients
The commonest symptom in our
study population was fever in 50 patients
(100%) followed by breathlessness (16,
32%), decreased urine output (16, 32%) ,
abdominal pain (16, 32%) vomiting (12,
24 %) etc. All patients had temperature
above 1000
F and pulse rate above 100
beats per minute. 20 patients(40%) had
blood pressure less than 90/60 mm Hg ,
Tachypnea 43 (86 %) , Altered mental
status 17 (34 %). Out of 50 patients, 30
patients (60%) required ventilatory
support, 28 patients (56%) required
inotropic support, 10 patients (20%)
required dialysis. Duration of ICU stay
was less than 7 days in 44 patients.
On admisssion 16 patients (32%)
had anemia, leucocytosis in 38 (76%)
patients & Leucopenia in 4patients (8%),
38 patients (76%) had hyponatremia
(Na<135meq/l) , 13 patients (26%) had
hypokalemia (K <3.5meq/l) and 4 patients
(8%) had hyperkalemia (>5.5), 41 patients
(82%) had acidic pH( <7.35) on the day of
admission.
Furthermore , our study catered to the
comparison of clinic-pathological
parameters in survivor & non-survivor
group as shown in Table 1& 2.
28%
20%
4%2%
52%
Diabetes
Hypertensi
on
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Table 1: Comparison of symptoms & clinical parameters in survivors and non-
survivors of patients
Variables
Non-survived
(n=18)
Surviv
ed
(n=
32) p value
Age in years (mean ±SD) 51.06±19.59 46.84±15.77 0.411
Fever (no, %) 18, 100.0 % 32, 100.0 % 1.000
Headache (no, %) 2, 11.1 % 2, 6.2 % 0.612
Cough (no, %) 5, 27.8 % 8, 25.0 % 1.000
Breathlessness (no, %) 7, 38.9 % 9, 28.1 % 0.532
Altered Sensorium (no, %) 1, 5.6 % 1, 3.1 % 1.000
Vomiting (no, %) 4, 22.2 % 8, 25.0 % 1.000
Jaundice (no, %) 2, 11.1 % 2, 6.2 % 0.612
Oliguria (no, %) 4, 22.2 % 12, 37.5 % 1.000
Abdominal Pain (no, %) 5, 27.8 % 12, 37.5 % 1.000
Chest pain (no, %) 2, 11.1 % 3, 9.3 % 1.000
Loose stools (no, %) 2, 11.1 % 3, 9.3 % 1.000
Temperature (mean ±SD) 102.48±1.06 102.61±1.01 0.658
Pulse rate (mean ±SD) 123.44±13.51 117.63±5.04 0.033*
GCS 10.06±5.57 14.19±1.99 <0.001*
Respiratory rate (mean ±SD) 27.22±5.54 26.5±5.47 0.658
APACHE II score DAY1 23.28±9.65 18.75±7.34 0.068
Ventilator support (no, %) 16(88.9%) 14(43.8%) 0.002*
Inotropic support (no, %) 13(72.2%) 15(46.9%) 0.083
Dialysis (no, %) 2(11.1%) 8(25.0%) 0.295
Duration of ICU stay (no, %) 3.72±3.08 3.75±2.02 0.969
Table 2: comparison of biochemical parameters with survivors and non survivors of
patients studied
Variables Non-survived Survived p value
Hemoglobin 11.14±4.02 10.89±2.04 0.770
Haematocrit 37.54±9.67 38.58±4.39 0.605
Total count 15827.78±8423.69 22893.75±24048.53 0.236
Serum sodium 132.83±4.79 130.53±3.92 0.072
Serum potassium 4.24±0.67 3.96±0.85 0.236
PH 7.24±0.13 7.24±0.1 0.989
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Serum bilirubin 2.19±1.41 2.78±2.55 0.375
Serum amylase 20.56±11.55 17.69±5.97 0.251
Serum Creatinine(mg/dl) 1.76±1.06 2.77±2.43
SOFA score was significantly low especially on day 3 (6.84±2.96) in survivor group as
compared to non survivor group whose mean day 3 value being (13.42±4.060) (Table 3).
Table 3: Evaluation of SOFA score in survivors and non survivors patients
SOFA score Non survived Survived p value
Day 1 10.17±3.45 7.94±2.64 0.014*
Day 2 11.63±4.33 8.28±2.62 0.002**
Day 3 13.42±4.06 6.84±2.96 <0.001**
Day 4 10.78±3.77 5.94±3.41 0.001**
Day 5 12.25±4.8 4.55±3.27 <0.001**
Day 6 12.29±6.1 3.39±2.77 <0.001**
Day 7 14.2±3.9 2.82±2.61 <0.001**
Day 8 13±3.39 2.45±2.5 <0.001**
Day 9 13.8±4.09 1.81±1.72 <0.001**
Day 10/last day 13.5±5.69 1.33±1.23 <0.001**
Definite microbiological evidence
of infection was found in 56% of patients
with sepsis in ICU (28 of 50) (from
culture of appropriate specimens and
blood culture). culture of appropriate
specimen ( as determined from history
and clinical examination ) , eg sputum,
urine, stool, pus, asctic or pleural fluid etc
could identify a definite microorganism in
38% patient of sepsis whereas Blood
culture was positive in only 18% of cases
of sepsis. ( Fig 3).
Fig 3: Bar diagram showing culture
positivity in patients of sepsis
38%
18%
0%
10%
20%
30%
40%
patients(%)
appropriate
culture
Blood cultue
positive
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Table 4: microorganisms associated with sepsis (from appropriate specimen culture)
Type of pathogen
Appropriate specimen Culture
positive (n= 19)
Blood Culture positive
(n=9)
Klebsiella 7(36.8%) 2 (22.2%)
Pseudomonas 5(26.3%) 3 (33.3%)
E. Coli 2(10.5%) 2 (22.2 %)
Staph aureas 2 (10.5%) 1(11.1%)
Enterococcus 1(5.2%) 1 (11.1%)
Polymicrobial 1 (5.2%) -
Others 1(5.2%)-
Table 4 shows that Gram negative bacteria
were found to be the predominant
pathogens associated with sepsis(73.4%).
The most common organism responsible
for sepsis was Klebsiella (36.8%),
followed by Pseudomonas (26.3%), Staph
aureas and E. coli(10.5%) both. However,
Pseudomonas was the most common
organism isolated from blood culture
followed by Klebsiella.
Discussion
The clinical profile of 50 patients with
sepsis was studied with 28 males and 22
females in this cohort and mean age of
48.3years. Similar study in India have also
shown male preponderance with most
patients in the fourth to fifth decade.4
All patients had fever with breathlessness
and oliguria being the next predominant
symptom observed in 32% patients each.
Among the several disorders encountered in
sepsis, acute kidney injury (AKI) mostly
manifested clinically by decreased urine
output, is one of the most important because
it is a life-threatening condition, increases
the complexity and cost of care, and is an
independent risk factor for mortality.5,6
.
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There was no significant difference in
symptomatology between survivors & non-
survivors.
The mean SOFA score on the day of
admission was 8.74 and the mean APACHE
II score on the day of admission was 20.14
suggesting there was significant organ
dysfunction in all patients. In our study, 30
patients (60%) required ventilator support,
28 (56%) patients required inotropes, 10
(20%) patients required dialysis again
supporting significant organ dysfunction.
The mortality recorded in this study is 36%.
In large clinical trials, the mortality
associated with severe sepsis and septic
shock ranges between 13% and 50%.7
The non-survivors had a higher pulse rate
(mean 123.44 v/s 117.63 p=0.033) and a
lower blood pressure and therefore a greater
requirement for inotropes (72.2% vs 46.9%,
p=0.08). compared to survivors .In our
study, mortality rate among septic shock
patients was 72.2%. Septic shock was
associated with a higher mortality as shown
with studies in Europe, by Jacobson et al8
&
72.1% in Croatia by Degoricija et al9
.However, an Indian study by Todi et al had
recorded a mortality of 59.26% in patients
with severe sepsis and septic shock 4
.
Although the observed high respiratory rate
in non survivors than survivors (27.22 v/s
26.5) was not statistically significant
(p=0.658), but there was significantly more
need of mechanical ventilation in non-
survived patients (88.9% vs 43.8%, p=
0.002).
Among other clinical parameters, mean
GCS among survivors was high compared
to non survivors on all days (day1, 14.19 v/s
10.19 ) and was statistically very significant
(p<0.001) which is in accordance with the
finding by Vosylius et al10
and Bastos et al
11
that admission GCS was an independent
predictor of mortality.
Many studies have shown that high
APACHE II score at the time of admission
was associated with high mortality 6
. In this
study, though mean APACHE II score was
high among non-survivors than survivors
(23.28 v/s 18.75), but it was of no statistical
significance.
SOFA score has been validated extensively
for prognostification. In our study, extensive
study of SOFA score was done from day 1
to the last day. The SOFA score on day 1
was high among non survivors and low
among survivors which was statistically
significant (10.17 v/s 7.94, p=0.014).
However, the most significant difference
was observed on day 3. The SOFA score
was very high among non-survivors as
compared to survivors which was
statistically very significant (13.42 v/s 6.84,
p<0.001). This was similar to many studies
that have been done. Vosylius et al in their
study on 117 ICU patients with sepsis
showed that the changes in the severity of
organ dysfunction were closely related to
the outcome of the patients admitted to ICU.
The SOFA score on day 3 was better
compared with SOFA score on day 1 as the
tool for outcome prediction 10
Vincent et al in their study in 40 ICU‘s in 16
countries showed that the total SOFA score
increased in 44% of the non-survivors but in
only 20% of the survivors 12
. Saulius
Vosylius 10
in Vilnius, Lithuania observed
that SOFA score on day 1 and day 3 was
significantly higher in non-survivors than
those in survivors.
. Among the haematological
parameters, leukocytosis and leukopenia are
often associated with mortality and normal
white blood cell counts are associated with
survival 8,13
. In our study however non-
survivors had a mean total count of 15,827/
µL and survivors had a mean total count of
22, 893 /µL at admission which was was not
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statistically significant though. Biochemical
parameters were not statistically different
among survivors & non-survivors.
The mean duration of ICU stay did not vary
between non survivors and survivors (3.72
v/s 3.75). It may be attributable to early
death among non-survivors and early
recovery among survivors.
Definite microbiological evidence
of infection from culture of appropriate
specimen and blood culture was found in
56% of patients with sepsis .Culture of
appropriate specimen( as determined from
history and clinical examination ), eg
sputum, urine, stool, pus, asctic or pleural
fluid etc could identify a definite
microorganism in 38% of cases of sepsis.
Overall, Gram negative bacteria were found
to be the predominant pathogens associated
with sepsis. Most common organism
responsible for sepsis overall, was
Klebsiella (36.8%), followed by
Pseudomonas (26.3%). Vincent JL et al
(2006) in a observational study in 198
intensive care units in 24 European
countries found definite microbiological
evidence of infection in 60% patients 14
.
Engel C et al15
in a German multicentre
study in ICUs of university hospitals found
documented infection in 70% patients with
sepsis. They also found Gramnegative
bacilli to be the predominant organisms
isolated from cultures in patients with sepsis
(52.8%) 15
. Todi S et al (2010) in a
multicentric, prospective trial from 2006 to
2009 in Indian ITUs found culture positivity
in 61.6% patients with sepsis. Gram-
negative organisms were responsible for
72.45% of cases and Gram-positive for
13.13% 4
. Vincent JL et al (2009) reported
in a study involving 14,000 ICU patients in
75 countries, that microbiological culture
were positive in 70% of the infected
patients; 62% isolates were Gram-negative
bacteria while 47% were Gram-positive
bacteria and 19% were fungi.16
Blood culture was positive in only 18% of
cases of sepsis. Pseudomonas was the most
common organism isolated from blood
culture 33.3 % followesd by Klebsiella 22.2
%. Angus DC et al (2001) in an analysis of
previous studies concluded that blood
culture yielded microorganisms in only 20-
40% of cases of sepsis17
. Choudhury et al18
from Tirupathi reported that the ratio of
Gram positive to Gram negative bacteremia
was 1:1 on blood culture analysis with Staph
aureas and Pseudomonas aeruginosa taken
together comprisd 36.8% of the isolates.
Sharma M et al 19
(2002) from Rohtak in
2002 reported blood culture positivity in
sepsis to be 33.9%. Gram negative
organisms (88.8%) like Klebsiella,
Pseudomonas, E. Coli were the most
common organisms isolated, followed by
Staphylococcus aureas among the Gram
positives.19
. Tanriover MD et al20
(2006)in
an observational study in a tertiary hospital
in Turkey showed that the yield of blood
cultures was 47.7% and Gram-negative
bacilli constituted the majority of pathogens
(65.9%) isolated from bacteraemic patients
in the hospital setting. Klebsiella spp.
(43.8%) was found to be the most common
pathogen in Gram-negative bacteraemic
episodes followed by E. Coli (37.5%).20
Blanco J et al21
(2008) in a prospective,
observational multicentre study in Spain in
2002 found that microbiological
documentation of infection from culture
studies could be made in 64.5% of cases of
sepsis. Blood culture was positive in 31.7%
cases. Gram negative bacilli were the
predominant organisms responsible (50%) .
E. Coli was the major pathogen isolated,
followed by Staph. aureas, Pseudomonas
and Klebsiella21
. Chatterjee et al 22
(2009) in
another multicentric study in Indian ITUs
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found culture positivity in 44.4% patients
with sepsis. They also showed that Gram-
negative organisms were predominantly
responsible for sepsis in India(57.8%) than
Gram-positive organisms (13.13%.). The
rest were parasitic, viral and fungal
infections.22
However, our study was limited by a
several factors. With a sample size of 50
patients this model requires external
validation by further large studies. Time of
admission to ICU for each patient is
different , thereby lead time bias was
possible. History of prior antibiotic usage
could not be ascertained by history.
Nosocomial complications and socio
economic constraints are difficult to model
in studies.
Conclusion
Sepsis with multiorgan dysfunction
syndrome (MODS) is a common cause of
Intensive Care Unit (ICU) mortality and
morbidity. Sepsis can be reversed, but as
sepsis progresses to severe sepsis and septic
shock the mortality rate substantially
increases. Hence assessment of clinical
signs & initial serological & radiological
investigations are of utmost importance to
detect more critical patients as early as
possible because specimen culture reports
may be available latter (with low yield) and
thus we would be able to intervene earlier
and harder to save the life of the sepsis
patients. However scoring systems like
SOFA & APACHE may be useful in these
set of patients to prognosticate these patients
early.
CONFLICT OF INTEREST : NONE
SOURCE OF FUNDING : NONE
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A Study On Clinical Profile Of Sepsis Patients In Intensive Care Unit Of A Tertiary Care Government Hospital In North East India

  • 1. IDL - International Digital Library Of Medical & Research Volume 1, Issue 3, Mar 2017 Available at: www.dbpublications.org International e-Journal For Medical And Research-2017 IDL - International Digital Library 1 | P a g e Copyright@IDL-2017 A Study On Clinical Profile Of Sepsis Patients In Intensive Care Unit Of A Tertiary Care Government Hospital In North East India Dr DEEPAK CHAUDHURY1 , Dr CHANDRAPRAKASH 2 , Dr SUBHANKAR PAUL 3 , Dr ILIAS ALI4 1: Assistant professor, 2: Former post Graduate Trainee, 3: Post Graduate Trainee , 4: Professor & Head,Department of Emergency Medicine , Gauhati Medical College & Hospital , Guwahati, Asaam ABSTRACT Background : Sepsis is life-threatening organ dysfunction caused by a dysregulated host response to infection which is one of the most important cause of mortality & morbidity in critically ill patients. In this study clinical profiles of the sepsis patients admitted in ICU in this part of India have been evaluated. Methods & Materials: This prospective hospital based observational study was undertaken in the department of Emergency Medicine ICU of Gauhati Medical College & Hospital, over a period of one year from August 2014 to July 2015 after obtaining institutional ethical committee clearance. RESULTS: Clinical profiles of 50sepsis patients, with male preponderance (56%) & mortality rate 36% were studied. Mean age was 48.36 years (SD ±17.16). fever & tachycardia were present in all patients. 30 patients (60%) required ventilatory support, 28 patients (56%) required inotropic support, 10 patients (20%) required dialysis. Gram negative bacteria were found to be the predominant pathogens associated with sepsis(73.4%) where most common organism responsible was Klebsiella (36.8%). Conclusion : assessment of clinical signs & initial serological & radiological investigations are of utmost importance to detect more critically ill patients as early as possible to intervene earlier for saving the life of the sepsis patients. KEYWORDS: SEPSIS, MODS, SPECIMEN CULTURE, SOFA, APACHE INTRODUCTION Sepsis is the primary cause of death from infection despite advances in modern medicine, including antibiotics, vaccines, and intensive care. Globally, an estimated 20 – 30 million cases of sepsis occurs each year. Every hour, about 50 people die from sepsis (1) & Patients surviving sepsis have double the risk of death in the following 5 years compared with
  • 2. IDL - International Digital Library Of Medical & Research Volume 1, Issue 3, Mar 2017 Available at: www.dbpublications.org International e-Journal For Medical And Research-2017 IDL - International Digital Library 2 | P a g e Copyright@IDL-2017 hospitalized controls and suffer from physical, cognitive and affective health problems (2) . Sepsis is often diagnosed too late, because the clinical sign-symptoms and laboratory parameters that are currently in use for the diagnosis of sepsis eg. raised temperature, increased heart-rate or breathing rate, or white blood cell count, are non-specific. In children, the signs and symptoms may be subtle and deterioration rapid. Sepsis is poorly understood and under-recognized due to confusion about its definition among patients and healthcare providers, lack of documentation of sepsis as a cause of death in death-certificates, inadequate diagnostic tools, and inconsistent application of standardized clinical guidelines to diagnose & treat sepsis (3) . Cultures and serology reports are available mostly after 24 to 48 hours. In the crucial hours which determine the prognosis of the patient the physician has to depend on clinical symptoms and demographic data to aid in diagnosis and management. Hence our study was performed with a view to have an insight of the clinical profile of septic patients in the ICU so as to diagnose, prognosticate & intervene earlier. MATERIALS & METHODS This prospective hospital based observational study was undertaken in the department of Emergency Medicine ICU of Gauhati Medical College & Hospital, over a period of one year from August 2014 to July 2015 with prior approval obtained from Institutional Ethical Committee . The patients with sepsis ,as defined by the American College of Chest Physicians/Society of Critical Care Medicine (ACCP/SCCM) Consensus Committee in 1992 , above 18years of age were included in the study. However Patients with Pregnancy , primarily suffering from Pancreatitis , adrenal insufficiency , Burns, Pulmonary embolism, Cardiac tamponade, Tumor- associated lactic acidosis, drug overdose & anaphylaxis, on treatment with immunosuppressive agents were excluded from the study. The detailed history, clinical examination and all the relevant laboratory investigations were done. All the patients of sepsis admitted to emergency ICU were prognosticated on the basis of APACHE II score and SOFA score. APACHE II was calculated on day of admission to predict mortality & to assess the extent of multi-organ dysfunction daily SOFA scoring was done. We have analyzed various profiles between two groups, survivor group which include the patients who were successfully discharged after recovery and non-survivor group which include the patients who died . Statistical Methods Descriptive and inferential statistical analysis has been carried out in the present study. Results on continuous measurements are presented on Mean±SD (Min-Max) and results on categorical measurements are presented in Number (%). Significance is assessed at 5% level of significance. Student t test (two-tailed, independent) has been used to find the significance of study parameters on continuous scale between two groups Inter group analysis) on metric parameters. Chi- square/Fisher Exact test has been used to find the significance of study parameters on categorical scale between two or more groups. All data were analyzed with SPSS 16.0 Microsoft word 10.0 and Excel have been used to generate graphs & tables. Results & observations
  • 3. IDL - International Digital Library Of Medical & Research Volume 1, Issue 3, Mar 2017 Available at: www.dbpublications.org International e-Journal For Medical And Research-2017 IDL - International Digital Library 3 | P a g e Copyright@IDL-2017 After applying the inclusion & exclusion criteria , clinical profiles of 50 patients with sepsis were studied, out of which 28 were male(56%) and 22 were females(44%). 18 patients( 36%) died and 32 patients (64%) survived in this study. Age of patients varied from 18 years to 90 years, with mean 48.36 years (SD ±17.16). Highest numbers of cases were seen the age group of 61 to 70 years i.e. 12 patients (24%) followed by 41 to 50 years in 10 cases (20%), 21 to 30 years in 9 cases (18%) (Fig 1). Youngest patient in the study is 18 years old. Oldest patient is 90 years Fig 1 : Bar diagram showing Age distribution of study population 24 patients (48%) patients had associated co- morbidities , with diabetes being commonest of them (n=14, 28%) (Fig 2) . Fig 2: Pie diagram showing distribution of existing co-morbidities in sepsis patients The commonest symptom in our study population was fever in 50 patients (100%) followed by breathlessness (16, 32%), decreased urine output (16, 32%) , abdominal pain (16, 32%) vomiting (12, 24 %) etc. All patients had temperature above 1000 F and pulse rate above 100 beats per minute. 20 patients(40%) had blood pressure less than 90/60 mm Hg , Tachypnea 43 (86 %) , Altered mental status 17 (34 %). Out of 50 patients, 30 patients (60%) required ventilatory support, 28 patients (56%) required inotropic support, 10 patients (20%) required dialysis. Duration of ICU stay was less than 7 days in 44 patients. On admisssion 16 patients (32%) had anemia, leucocytosis in 38 (76%) patients & Leucopenia in 4patients (8%), 38 patients (76%) had hyponatremia (Na<135meq/l) , 13 patients (26%) had hypokalemia (K <3.5meq/l) and 4 patients (8%) had hyperkalemia (>5.5), 41 patients (82%) had acidic pH( <7.35) on the day of admission. Furthermore , our study catered to the comparison of clinic-pathological parameters in survivor & non-survivor group as shown in Table 1& 2. 28% 20% 4%2% 52% Diabetes Hypertensi on
  • 4. IDL - International Digital Library Of Medical & Research Volume 1, Issue 3, Mar 2017 Available at: www.dbpublications.org International e-Journal For Medical And Research-2017 IDL - International Digital Library 4 | P a g e Copyright@IDL-2017 Table 1: Comparison of symptoms & clinical parameters in survivors and non- survivors of patients Variables Non-survived (n=18) Surviv ed (n= 32) p value Age in years (mean ±SD) 51.06±19.59 46.84±15.77 0.411 Fever (no, %) 18, 100.0 % 32, 100.0 % 1.000 Headache (no, %) 2, 11.1 % 2, 6.2 % 0.612 Cough (no, %) 5, 27.8 % 8, 25.0 % 1.000 Breathlessness (no, %) 7, 38.9 % 9, 28.1 % 0.532 Altered Sensorium (no, %) 1, 5.6 % 1, 3.1 % 1.000 Vomiting (no, %) 4, 22.2 % 8, 25.0 % 1.000 Jaundice (no, %) 2, 11.1 % 2, 6.2 % 0.612 Oliguria (no, %) 4, 22.2 % 12, 37.5 % 1.000 Abdominal Pain (no, %) 5, 27.8 % 12, 37.5 % 1.000 Chest pain (no, %) 2, 11.1 % 3, 9.3 % 1.000 Loose stools (no, %) 2, 11.1 % 3, 9.3 % 1.000 Temperature (mean ±SD) 102.48±1.06 102.61±1.01 0.658 Pulse rate (mean ±SD) 123.44±13.51 117.63±5.04 0.033* GCS 10.06±5.57 14.19±1.99 <0.001* Respiratory rate (mean ±SD) 27.22±5.54 26.5±5.47 0.658 APACHE II score DAY1 23.28±9.65 18.75±7.34 0.068 Ventilator support (no, %) 16(88.9%) 14(43.8%) 0.002* Inotropic support (no, %) 13(72.2%) 15(46.9%) 0.083 Dialysis (no, %) 2(11.1%) 8(25.0%) 0.295 Duration of ICU stay (no, %) 3.72±3.08 3.75±2.02 0.969 Table 2: comparison of biochemical parameters with survivors and non survivors of patients studied Variables Non-survived Survived p value Hemoglobin 11.14±4.02 10.89±2.04 0.770 Haematocrit 37.54±9.67 38.58±4.39 0.605 Total count 15827.78±8423.69 22893.75±24048.53 0.236 Serum sodium 132.83±4.79 130.53±3.92 0.072 Serum potassium 4.24±0.67 3.96±0.85 0.236 PH 7.24±0.13 7.24±0.1 0.989
  • 5. IDL - International Digital Library Of Medical & Research Volume 1, Issue 3, Mar 2017 Available at: www.dbpublications.org International e-Journal For Medical And Research-2017 IDL - International Digital Library 5 | P a g e Copyright@IDL-2017 Serum bilirubin 2.19±1.41 2.78±2.55 0.375 Serum amylase 20.56±11.55 17.69±5.97 0.251 Serum Creatinine(mg/dl) 1.76±1.06 2.77±2.43 SOFA score was significantly low especially on day 3 (6.84±2.96) in survivor group as compared to non survivor group whose mean day 3 value being (13.42±4.060) (Table 3). Table 3: Evaluation of SOFA score in survivors and non survivors patients SOFA score Non survived Survived p value Day 1 10.17±3.45 7.94±2.64 0.014* Day 2 11.63±4.33 8.28±2.62 0.002** Day 3 13.42±4.06 6.84±2.96 <0.001** Day 4 10.78±3.77 5.94±3.41 0.001** Day 5 12.25±4.8 4.55±3.27 <0.001** Day 6 12.29±6.1 3.39±2.77 <0.001** Day 7 14.2±3.9 2.82±2.61 <0.001** Day 8 13±3.39 2.45±2.5 <0.001** Day 9 13.8±4.09 1.81±1.72 <0.001** Day 10/last day 13.5±5.69 1.33±1.23 <0.001** Definite microbiological evidence of infection was found in 56% of patients with sepsis in ICU (28 of 50) (from culture of appropriate specimens and blood culture). culture of appropriate specimen ( as determined from history and clinical examination ) , eg sputum, urine, stool, pus, asctic or pleural fluid etc could identify a definite microorganism in 38% patient of sepsis whereas Blood culture was positive in only 18% of cases of sepsis. ( Fig 3). Fig 3: Bar diagram showing culture positivity in patients of sepsis 38% 18% 0% 10% 20% 30% 40% patients(%) appropriate culture Blood cultue positive
  • 6. IDL - International Digital Library Of Medical & Research Volume 1, Issue 3, Mar 2017 Available at: www.dbpublications.org International e-Journal For Medical And Research-2017 IDL - International Digital Library 6 | P a g e Copyright@IDL-2017 Table 4: microorganisms associated with sepsis (from appropriate specimen culture) Type of pathogen Appropriate specimen Culture positive (n= 19) Blood Culture positive (n=9) Klebsiella 7(36.8%) 2 (22.2%) Pseudomonas 5(26.3%) 3 (33.3%) E. Coli 2(10.5%) 2 (22.2 %) Staph aureas 2 (10.5%) 1(11.1%) Enterococcus 1(5.2%) 1 (11.1%) Polymicrobial 1 (5.2%) - Others 1(5.2%)- Table 4 shows that Gram negative bacteria were found to be the predominant pathogens associated with sepsis(73.4%). The most common organism responsible for sepsis was Klebsiella (36.8%), followed by Pseudomonas (26.3%), Staph aureas and E. coli(10.5%) both. However, Pseudomonas was the most common organism isolated from blood culture followed by Klebsiella. Discussion The clinical profile of 50 patients with sepsis was studied with 28 males and 22 females in this cohort and mean age of 48.3years. Similar study in India have also shown male preponderance with most patients in the fourth to fifth decade.4 All patients had fever with breathlessness and oliguria being the next predominant symptom observed in 32% patients each. Among the several disorders encountered in sepsis, acute kidney injury (AKI) mostly manifested clinically by decreased urine output, is one of the most important because it is a life-threatening condition, increases the complexity and cost of care, and is an independent risk factor for mortality.5,6 .
  • 7. IDL - International Digital Library Of Medical & Research Volume 1, Issue 3, Mar 2017 Available at: www.dbpublications.org International e-Journal For Medical And Research-2017 IDL - International Digital Library 7 | P a g e Copyright@IDL-2017 There was no significant difference in symptomatology between survivors & non- survivors. The mean SOFA score on the day of admission was 8.74 and the mean APACHE II score on the day of admission was 20.14 suggesting there was significant organ dysfunction in all patients. In our study, 30 patients (60%) required ventilator support, 28 (56%) patients required inotropes, 10 (20%) patients required dialysis again supporting significant organ dysfunction. The mortality recorded in this study is 36%. In large clinical trials, the mortality associated with severe sepsis and septic shock ranges between 13% and 50%.7 The non-survivors had a higher pulse rate (mean 123.44 v/s 117.63 p=0.033) and a lower blood pressure and therefore a greater requirement for inotropes (72.2% vs 46.9%, p=0.08). compared to survivors .In our study, mortality rate among septic shock patients was 72.2%. Septic shock was associated with a higher mortality as shown with studies in Europe, by Jacobson et al8 & 72.1% in Croatia by Degoricija et al9 .However, an Indian study by Todi et al had recorded a mortality of 59.26% in patients with severe sepsis and septic shock 4 . Although the observed high respiratory rate in non survivors than survivors (27.22 v/s 26.5) was not statistically significant (p=0.658), but there was significantly more need of mechanical ventilation in non- survived patients (88.9% vs 43.8%, p= 0.002). Among other clinical parameters, mean GCS among survivors was high compared to non survivors on all days (day1, 14.19 v/s 10.19 ) and was statistically very significant (p<0.001) which is in accordance with the finding by Vosylius et al10 and Bastos et al 11 that admission GCS was an independent predictor of mortality. Many studies have shown that high APACHE II score at the time of admission was associated with high mortality 6 . In this study, though mean APACHE II score was high among non-survivors than survivors (23.28 v/s 18.75), but it was of no statistical significance. SOFA score has been validated extensively for prognostification. In our study, extensive study of SOFA score was done from day 1 to the last day. The SOFA score on day 1 was high among non survivors and low among survivors which was statistically significant (10.17 v/s 7.94, p=0.014). However, the most significant difference was observed on day 3. The SOFA score was very high among non-survivors as compared to survivors which was statistically very significant (13.42 v/s 6.84, p<0.001). This was similar to many studies that have been done. Vosylius et al in their study on 117 ICU patients with sepsis showed that the changes in the severity of organ dysfunction were closely related to the outcome of the patients admitted to ICU. The SOFA score on day 3 was better compared with SOFA score on day 1 as the tool for outcome prediction 10 Vincent et al in their study in 40 ICU‘s in 16 countries showed that the total SOFA score increased in 44% of the non-survivors but in only 20% of the survivors 12 . Saulius Vosylius 10 in Vilnius, Lithuania observed that SOFA score on day 1 and day 3 was significantly higher in non-survivors than those in survivors. . Among the haematological parameters, leukocytosis and leukopenia are often associated with mortality and normal white blood cell counts are associated with survival 8,13 . In our study however non- survivors had a mean total count of 15,827/ µL and survivors had a mean total count of 22, 893 /µL at admission which was was not
  • 8. IDL - International Digital Library Of Medical & Research Volume 1, Issue 3, Mar 2017 Available at: www.dbpublications.org International e-Journal For Medical And Research-2017 IDL - International Digital Library 8 | P a g e Copyright@IDL-2017 statistically significant though. Biochemical parameters were not statistically different among survivors & non-survivors. The mean duration of ICU stay did not vary between non survivors and survivors (3.72 v/s 3.75). It may be attributable to early death among non-survivors and early recovery among survivors. Definite microbiological evidence of infection from culture of appropriate specimen and blood culture was found in 56% of patients with sepsis .Culture of appropriate specimen( as determined from history and clinical examination ), eg sputum, urine, stool, pus, asctic or pleural fluid etc could identify a definite microorganism in 38% of cases of sepsis. Overall, Gram negative bacteria were found to be the predominant pathogens associated with sepsis. Most common organism responsible for sepsis overall, was Klebsiella (36.8%), followed by Pseudomonas (26.3%). Vincent JL et al (2006) in a observational study in 198 intensive care units in 24 European countries found definite microbiological evidence of infection in 60% patients 14 . Engel C et al15 in a German multicentre study in ICUs of university hospitals found documented infection in 70% patients with sepsis. They also found Gramnegative bacilli to be the predominant organisms isolated from cultures in patients with sepsis (52.8%) 15 . Todi S et al (2010) in a multicentric, prospective trial from 2006 to 2009 in Indian ITUs found culture positivity in 61.6% patients with sepsis. Gram- negative organisms were responsible for 72.45% of cases and Gram-positive for 13.13% 4 . Vincent JL et al (2009) reported in a study involving 14,000 ICU patients in 75 countries, that microbiological culture were positive in 70% of the infected patients; 62% isolates were Gram-negative bacteria while 47% were Gram-positive bacteria and 19% were fungi.16 Blood culture was positive in only 18% of cases of sepsis. Pseudomonas was the most common organism isolated from blood culture 33.3 % followesd by Klebsiella 22.2 %. Angus DC et al (2001) in an analysis of previous studies concluded that blood culture yielded microorganisms in only 20- 40% of cases of sepsis17 . Choudhury et al18 from Tirupathi reported that the ratio of Gram positive to Gram negative bacteremia was 1:1 on blood culture analysis with Staph aureas and Pseudomonas aeruginosa taken together comprisd 36.8% of the isolates. Sharma M et al 19 (2002) from Rohtak in 2002 reported blood culture positivity in sepsis to be 33.9%. Gram negative organisms (88.8%) like Klebsiella, Pseudomonas, E. Coli were the most common organisms isolated, followed by Staphylococcus aureas among the Gram positives.19 . Tanriover MD et al20 (2006)in an observational study in a tertiary hospital in Turkey showed that the yield of blood cultures was 47.7% and Gram-negative bacilli constituted the majority of pathogens (65.9%) isolated from bacteraemic patients in the hospital setting. Klebsiella spp. (43.8%) was found to be the most common pathogen in Gram-negative bacteraemic episodes followed by E. Coli (37.5%).20 Blanco J et al21 (2008) in a prospective, observational multicentre study in Spain in 2002 found that microbiological documentation of infection from culture studies could be made in 64.5% of cases of sepsis. Blood culture was positive in 31.7% cases. Gram negative bacilli were the predominant organisms responsible (50%) . E. Coli was the major pathogen isolated, followed by Staph. aureas, Pseudomonas and Klebsiella21 . Chatterjee et al 22 (2009) in another multicentric study in Indian ITUs
  • 9. IDL - International Digital Library Of Medical & Research Volume 1, Issue 3, Mar 2017 Available at: www.dbpublications.org International e-Journal For Medical And Research-2017 IDL - International Digital Library 9 | P a g e Copyright@IDL-2017 found culture positivity in 44.4% patients with sepsis. They also showed that Gram- negative organisms were predominantly responsible for sepsis in India(57.8%) than Gram-positive organisms (13.13%.). The rest were parasitic, viral and fungal infections.22 However, our study was limited by a several factors. With a sample size of 50 patients this model requires external validation by further large studies. Time of admission to ICU for each patient is different , thereby lead time bias was possible. History of prior antibiotic usage could not be ascertained by history. Nosocomial complications and socio economic constraints are difficult to model in studies. Conclusion Sepsis with multiorgan dysfunction syndrome (MODS) is a common cause of Intensive Care Unit (ICU) mortality and morbidity. Sepsis can be reversed, but as sepsis progresses to severe sepsis and septic shock the mortality rate substantially increases. Hence assessment of clinical signs & initial serological & radiological investigations are of utmost importance to detect more critical patients as early as possible because specimen culture reports may be available latter (with low yield) and thus we would be able to intervene earlier and harder to save the life of the sepsis patients. However scoring systems like SOFA & APACHE may be useful in these set of patients to prognosticate these patients early. CONFLICT OF INTEREST : NONE SOURCE OF FUNDING : NONE REFERENCES 1. Kissoon N, Carcillo JA, Espinosa V, Argent A, Devictor D, Madden M, Singhi S, van der VoortE, Latour J. World Federation of Pediatric Intensive Care and Critical Care Societies: Global Sepsis Initiative. Pediatr Crit Care Med, 2011. 12(5): p. 494-503 2. Angus DC. The lingering consequences of sepsis: a hidden public health disaster?JAMA, 2010. 304(16): p. 1833-4 3. International Organizations Declare Sepsis a Medical Emergency. Issued by an expert panelrepresenting 20 adult and pediatric intensive care societies, October 4th 2010. 2010:Press release.Available from: http://www.prnewswire.com/news- releases/international- organizations-declaresepsis-a- global-medical-emergency- 104142073.html 4. Todi S, Chatterjee S, Sahu S and Bhattacharyya M. Epidemiology of severe sepsis in India: an update Crit Care. 2010; 14(Suppl 1): 382. 5. Potential Interventions in Sepsis- Related Acute Kidney Injury cjasn.asnjournals.org 6. Evan der Merwe, Kidd M, Metzker S, Bolliger CT, Irusen EM. Validating the use of the APACHE II score in a tertiary South African ICU SAJCC 2005 Jul; 21 (1): 7. Balk RA. Severe sepsis and septic shock: definitions, epidemiology, and clinical manifestations. Crit Care Clin 2000; 16: 179-92. 8. Jacobson S, Johansson G, Winsö O. Primary sepsis in a university hospital in Northern Sweden: a
  • 10. IDL - International Digital Library Of Medical & Research Volume 1, Issue 3, Mar 2017 Available at: www.dbpublications.org International e-Journal For Medical And Research-2017 IDL - International Digital Library 10 | P a g e Copyright@IDL-2017 retrospective study. Acta Anaesthesiol Scand. 2004 Sep; 48(8): 960-7. 9. Degoricija V, Sharma M, Legac A, Gradišer M, Šefer S and Vučičevićz. Survival Analysis of 314 Episodes of Sepsis in Medical Intensive Care Unit in University Hospital: Impact of Intensive Care Unit Performance and Antimicrobial Therapy. Croat Med J. 2006 June; 47(3): 385–397. 10. Vosylius S, Sipylaite J, Ivaskevicius J. Sequential Organ Failure Assessment Score as the Determinant of Outcome for Patient with Severe Sepsis. Croat Med J. 2004 Dec; 45(6): 715-20 11. Bastos PG, Sun X, Wagner DP, Wu AW, Knaus WA. Glasgow coma scale score in the evaluation of outcome in the intensive care unit: findings from the Acute Physiology and Chronic Health Evaluation III study. Crit Care Med. 1993 Oct; 21(10): 1459-65. 12. Vincent J L, de Mendonça A, Cantraine F, Moreno R, Takala J, Suter PM et al. Sprung C: Use of the SOFA score to assess the incidence of organ dysfunction/failure in intensive care units: results of a multicenter, prospective study. Working group on "sepsis related problems" of the European Society of Intensive Care Medicine.Crit Care Med 1998; Nov; 26(11): 1793-800. 13. Oliveira AP, Barata CH, Murta EF, Tavares-Murta BM. Comparative study of survivor and non-survivor sepsis patients in a university hospital. Rev Soc Bras Med Trop. 2008 Jan-Feb; 41(1): 50-4. 14. Vincent JL, Sakr Y, Sprung CL, Ranieri VM, Reinhart K, Gerlach H, Moreno R, Carlet J, Le Gall JR, Payen D,& Sepsis Occurrence in Acutely Ill Patients Investigators. Sepsis in European intensive care units: results of the SOAP study. Crit Care Med. 2006; 34 (2):344- 353 15. Engel C, Brunkhorst FM, Bone HG et al : Epidemiology of sepsis in Germany: results from a national prospective multicenter study: Intensive Care Med (2007) 33:606–618 16. Vincent JL et al: International study of the prevalence and outcomes of infection in intensive care units. JAMA 2009;302:2323- 9. 17. Angus DC, Linde-Zwirble WT, Lidicker J, Clermont G, Carcillo J, Pinsky MR. Epidemiology of severe sepsis in the United States: analysis of incidence, outcome and associated costs of care. Crit Care Med 2001; 29: 1303-10. 18. Chaudhury A, Rao TV. Bacteraemia in a tertiary care urban hospital in south India. Indian J Pathol Microbiol 1999; 42 :317-20. 19. Sharma M, Goel N, Chaudhary U, Aggarwal R, Arora DR. Bacteraemia in children. Indian J Pediatr 2002; 69 :1029-32. 20. Tanriover MD, Guven GS, Sen D, Unal S and Uzum O : Epidemiology and outcome of sepsis in a tertiary-care hospital in a developing Country: Epidemiol. Infect. (2006), 134, 315–322. 21. Blanco J, Muriel-Bombín A, Sagredo V, Taboada F, Gandía F, Tamayo L, Collado J, García- Labattut , Carriedo D, Valledor M,
  • 11. IDL - International Digital Library Of Medical & Research Volume 1, Issue 3, Mar 2017 Available at: www.dbpublications.org International e-Journal For Medical And Research-2017 IDL - International Digital Library 11 | P a g e Copyright@IDL-2017 De Frutos M, López MJ, Caballero A, Guerra J, Álvarez B, Mayo A, Villar J, the Grupo de Estudios y Análisis en Cuidados Intensivos (G.R.E.C.I.A.): Incidence, organ dysfunction and mortality in severe sepsis: a Spanish multicenter study. Crit Care 2008,12:R158 22. Chatterjee S , Todi S, S Sahu and Bhattacharyya M: Epidemiology of severe sepsis in India:Critical Care 2009