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JOURNAL
PRESENTATION
Ext.Siwaporn Khureerung
ที่มาของการเลือกงานวิจัย
Q&A
Q :: ในการประเมินผู้ป่วย sepsis ,severe sepsis ใน
โรงพยาบาล ใช้ criteria ใดมาประเมิน
A :: SIRS criteria
Q :: แล้ว SIRS ที่ใช้มีความ แม่ยา ความไว ความ
น่าเชื่อถือมากแค่ไหน
A :: ???
N Engl J Med 2015; 372:1629-1638
DOI: 10.1056/NEJMoa1415236
AUTHOR
• Dr. Kirsi-Maija Kaukonen และคณะ
• Monash University ,Wellington Road, Clayton
Introduction
• Severe sepsis is a major cause of
admission to the intensive care unit (ICU)
and death.
• The criteria according to the systemic
inflammatory response syndrome (SIRS)
were described 23 years ago as a clinical
expression of the host response to
inflammation.
Introduction
• Need for patients to meet two or more SIRS
criteria has been criticized because of a low
specificity for infection within 24 hours after
admission to the ICU.
• Some patients (the elderly and those taking
medications that affect heart rate, respiratory
rate, or body temperature) may not have
symptoms meeting two or more SIRS criteria,
despite having infection and organ failure.
Introduction
• Thus, the face validity and sensitivity of
two or more SIRS criteria in the diagnosis
of severe sepsis remain unclear.
Objective
ผู้วิจัยจึงต้องการศึกษา “first 24 hours after ICU
admission, the presence of symptoms meeting two
or more SIRS criteria would have low face and
construct validity and sensitivity and that the
fulfillment of two criteria would not identify a
transitional increase in an otherwise linear
increased risk of death that would be logically
expected with each additional criterion.”
Study design
• Retrospective study (from January 1, 2000, to December 31, 2013)
• data from
– Australia and New Zealand Intensive Care Society (ANZICS)
– Adult Patient Database (APD)
• a high-quality database more than 90% of all ICU
• The Alfred Hospital Human Research Ethics Committee,
Melbourne, Australia, approved the study with
– waiver of informed consent.
– gathered as a part of routine quality-assurance benchmarking
processes
METHODS
Definition
• We defined sepsis, severe sepsis, and septic shock
used infection-related diagnoses according to the Acute
Physiology and Chronic Health Evaluation (APACHE) III
at admission to infer the presence of suspected or
proven infection
• We defined organ failure in the first 24 hours after ICU
admission as a Sequential Organ Failure Assessment
(SOFA) score of 3 or higher
METHODS
SIRS criteria
SOFA
APACHE III
Population
• SIRS-positive severe sepsis
– symptoms meeting two or more SIRS criteria
– APACHE III infection at admission with at least one organ failure
– APACHE III severe sepsis or septic shock at admission.
• SIRS-negative severe sepsis
– symptoms meeting fewer than two SIRS criteria
– APACHE III infection at admission with at least one organ failure
– APACHE III severe sepsis or septic shock at admission.
METHODS
Population
• four subgroups of patients:
• patients with septic shock
• those receiving mechanical ventilation
• those with acute renal failure
• those with an APACHE II score of more than 24 (on a scale from 0
to 71, with higher scores indicating more severe disease)
• An additional post hoc analysis was performed to compare
differences between community-acquired sepsis and hospital-
acquired sepsis as determined by the ICU admission source.
METHODS
Statistical Analysis
• numbers and percentages
• means and standard deviations
• medians and interquartile ranges
• proportions with 95% confidence intervals
• chi-square tests for equal proportion
• Student's t-test
• Wilcoxon rank-sum test were used to test differences
No assumptions were made for missing data,
with multivariable analysis performed on data from patients
who had complete data only
METHODS
RESULT
From 1,171,797 patients in 172 ICUs.
• 109,663 had infection and organ dysfunction.
– 96,385 (87.9%) had SIRS-positive severe sepsis
– 13,278 (12.1%) had SIRS-negative severe sepsis
** SIRS-positive were younger, were more severely ill,
and had higher mortality than those with SIRS-negative **
Study Patients
Mortality among Patients with Severe
Sepsis, According to Status with
Respect to Criteria for the Systemic
Inflammatory Response Syndrome
(SIRS).
Kaukonen K-M et al. N Engl J Med 2015;372:1629-1638
Kaukonen K-M et al. N Engl J Med 2015;372:1629-1638
Mortality among
Patients with Severe
Sepsis, According to
Number of SIRS
Criteria Met.
Kaukonen K-M et al. N Engl J Med
2015;372:1629-1638
Discussion
• missed 1/8 with severe sepsis.
– SIRS-negative had lower but still substantial mortality
• unadjusted and adjusted discharge rates to a
rehabilitation or long-term care facility were also similar,
as were predictors of mortality.
• mortality increased linearly with each additional SIRS
criterion from 0 to 4 without any transitional increase in
risk at a threshold of two criteria.
Discussion
• The presence of signs meeting two or more SIRS criteria is common in all
patients in the ICU but is not specific for infection.
• In the emergency department, 38% of SIRS-positive have an infection,as
compared with 21% of SIRS-negative.
• Patients with SIRS-positive, the most frequent signs were an increased
heart rate and increased respiratory rate, which is in agreement with the
results of a prospective study of SIRS prevalence among patients with
infection in the ICU.
• These observations support the external validity of our study. Our study,
however, assessed the prevalence of signs meeting individual SIRS
criteria.
• Among our patients who had infection and organ failure,
signs meeting two or more SIRS criteria occurred in
87.9% of patients within 24 hours after ICU admission,
supporting their presence in the majority of patients with
severe sepsis.
• Regardless of how we assess their sensitivity, these
criteria fail to identify one in eight patients with severe
sepsis.
• Moreover, we found that the cutoff point of two SIRS
criteria does not define any specific transition point for
risk.
Discussion
Discussion
• The presence of symptoms meeting two or more SIRS criteria is
believed to have excellent sensitivity but low specificity for severe
sepsis.it may also have limited sensitivity.
• The application of the criteria in the first 24 hours exclude
approximately one in eight ICU patients with infection and organ
failure.
• However, it may also decrease the specificity of these criteria.
• These patients have substantial mortality and their epidemiologic
data are identical to these of patients with classic SIRS-positive
severe sepsis,which suggests that these two groups represent
different clinical phenotypes of the same process. Moreover, on
adjusted analysis, mortality increased linearly with each additional
SIRS criterion from 0 to 4, with no transitional increase in risk at two
criteria to justify the use of two criteria as definitional cutoff point.
• The data were collected primarily for quality-control purposes and not for
study purposes
• We could study symptoms meeting SIRS criteria only during the first 24
hours in the ICU as recorded either every 30 minutes or every 60 minutes
on the observation charts.
• Thus, we cannot comment on their absence or presence before or after this
period or for short intervals between observations.
• The accuracy of specific diagnostic coding of infections was not
independently monitored. However, on-site audits of data quality, validation
rules built into data-collection software, and regular education sessions
make systematic bias in diagnostic coding unlikely.
Discussion Limitation
• Some of the patients who had severe sepsis after surgery may have
had SIRS because of the surgery rather than because of sepsis.
However, this problem would apply to such patients in any clinical
context.
• Our definition of organ failure related only to the first 24 hours.
Thus, patients who might have had organ failure on the second day
of the ICU stay were missed.
• Our definition of organ failure was based on the SOFA score. Other
definitions exist,which we did not have sufficient data to assess.
• Our definition of cardiovascular failure relied on the presence of
hypotension and a diagnosis of shock and did not include the use of
vasopressor drugs. However, such criteria were applied equally to
both groups, which makes bias unlikely.
Discussion Limitation
Discussion
เชื่อถือได้มากเนื่องจาก
1. ช่วงเวลาของข้อมูลที่ใช้ในการวิจัยเก็บตัวอย่างเป็นช่วงเวลาที่กว้างึึง 14 ปี
2. จานวนประชากรที่ใช้ในการวิจัยมีจานวนมาก
3. ข้อมูลที่นามาวิจัยมี inclusion exclusion criteria ที่ชัดเจน โดย
อาศัยข้อมูลทาง physiological และ laboratory มาประเมินและ
ข้อมูลที่เก็บคือข้อมูลที่ใช้จริงในแต่ละวันของการรักษาอยู่แล้วจึงไม่น่าจะมี
bias
4. ข้อมูลที่ได้ไม่มีการเลือกแหล่งที่มาโดยใช้ข้อมูลทั้งหมดของ 172 ICU ที่มี
อยู่ในพื้นที่ศึกษา
ความน่าเชื่อถือ

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SIRS Criteria May Miss Some Severe Sepsis Patients

  • 2. ที่มาของการเลือกงานวิจัย Q&A Q :: ในการประเมินผู้ป่วย sepsis ,severe sepsis ใน โรงพยาบาล ใช้ criteria ใดมาประเมิน A :: SIRS criteria Q :: แล้ว SIRS ที่ใช้มีความ แม่ยา ความไว ความ น่าเชื่อถือมากแค่ไหน A :: ???
  • 3. N Engl J Med 2015; 372:1629-1638 DOI: 10.1056/NEJMoa1415236
  • 4. AUTHOR • Dr. Kirsi-Maija Kaukonen และคณะ • Monash University ,Wellington Road, Clayton
  • 5. Introduction • Severe sepsis is a major cause of admission to the intensive care unit (ICU) and death. • The criteria according to the systemic inflammatory response syndrome (SIRS) were described 23 years ago as a clinical expression of the host response to inflammation.
  • 6. Introduction • Need for patients to meet two or more SIRS criteria has been criticized because of a low specificity for infection within 24 hours after admission to the ICU. • Some patients (the elderly and those taking medications that affect heart rate, respiratory rate, or body temperature) may not have symptoms meeting two or more SIRS criteria, despite having infection and organ failure.
  • 7. Introduction • Thus, the face validity and sensitivity of two or more SIRS criteria in the diagnosis of severe sepsis remain unclear.
  • 8. Objective ผู้วิจัยจึงต้องการศึกษา “first 24 hours after ICU admission, the presence of symptoms meeting two or more SIRS criteria would have low face and construct validity and sensitivity and that the fulfillment of two criteria would not identify a transitional increase in an otherwise linear increased risk of death that would be logically expected with each additional criterion.”
  • 9. Study design • Retrospective study (from January 1, 2000, to December 31, 2013) • data from – Australia and New Zealand Intensive Care Society (ANZICS) – Adult Patient Database (APD) • a high-quality database more than 90% of all ICU • The Alfred Hospital Human Research Ethics Committee, Melbourne, Australia, approved the study with – waiver of informed consent. – gathered as a part of routine quality-assurance benchmarking processes METHODS
  • 10. Definition • We defined sepsis, severe sepsis, and septic shock used infection-related diagnoses according to the Acute Physiology and Chronic Health Evaluation (APACHE) III at admission to infer the presence of suspected or proven infection • We defined organ failure in the first 24 hours after ICU admission as a Sequential Organ Failure Assessment (SOFA) score of 3 or higher METHODS
  • 12. SOFA
  • 14. Population • SIRS-positive severe sepsis – symptoms meeting two or more SIRS criteria – APACHE III infection at admission with at least one organ failure – APACHE III severe sepsis or septic shock at admission. • SIRS-negative severe sepsis – symptoms meeting fewer than two SIRS criteria – APACHE III infection at admission with at least one organ failure – APACHE III severe sepsis or septic shock at admission. METHODS
  • 15. Population • four subgroups of patients: • patients with septic shock • those receiving mechanical ventilation • those with acute renal failure • those with an APACHE II score of more than 24 (on a scale from 0 to 71, with higher scores indicating more severe disease) • An additional post hoc analysis was performed to compare differences between community-acquired sepsis and hospital- acquired sepsis as determined by the ICU admission source. METHODS
  • 16. Statistical Analysis • numbers and percentages • means and standard deviations • medians and interquartile ranges • proportions with 95% confidence intervals • chi-square tests for equal proportion • Student's t-test • Wilcoxon rank-sum test were used to test differences No assumptions were made for missing data, with multivariable analysis performed on data from patients who had complete data only METHODS
  • 17. RESULT From 1,171,797 patients in 172 ICUs. • 109,663 had infection and organ dysfunction. – 96,385 (87.9%) had SIRS-positive severe sepsis – 13,278 (12.1%) had SIRS-negative severe sepsis ** SIRS-positive were younger, were more severely ill, and had higher mortality than those with SIRS-negative ** Study Patients
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25. Mortality among Patients with Severe Sepsis, According to Status with Respect to Criteria for the Systemic Inflammatory Response Syndrome (SIRS). Kaukonen K-M et al. N Engl J Med 2015;372:1629-1638
  • 26. Kaukonen K-M et al. N Engl J Med 2015;372:1629-1638
  • 27. Mortality among Patients with Severe Sepsis, According to Number of SIRS Criteria Met. Kaukonen K-M et al. N Engl J Med 2015;372:1629-1638
  • 28. Discussion • missed 1/8 with severe sepsis. – SIRS-negative had lower but still substantial mortality • unadjusted and adjusted discharge rates to a rehabilitation or long-term care facility were also similar, as were predictors of mortality. • mortality increased linearly with each additional SIRS criterion from 0 to 4 without any transitional increase in risk at a threshold of two criteria.
  • 29. Discussion • The presence of signs meeting two or more SIRS criteria is common in all patients in the ICU but is not specific for infection. • In the emergency department, 38% of SIRS-positive have an infection,as compared with 21% of SIRS-negative. • Patients with SIRS-positive, the most frequent signs were an increased heart rate and increased respiratory rate, which is in agreement with the results of a prospective study of SIRS prevalence among patients with infection in the ICU. • These observations support the external validity of our study. Our study, however, assessed the prevalence of signs meeting individual SIRS criteria.
  • 30. • Among our patients who had infection and organ failure, signs meeting two or more SIRS criteria occurred in 87.9% of patients within 24 hours after ICU admission, supporting their presence in the majority of patients with severe sepsis. • Regardless of how we assess their sensitivity, these criteria fail to identify one in eight patients with severe sepsis. • Moreover, we found that the cutoff point of two SIRS criteria does not define any specific transition point for risk. Discussion
  • 31. Discussion • The presence of symptoms meeting two or more SIRS criteria is believed to have excellent sensitivity but low specificity for severe sepsis.it may also have limited sensitivity. • The application of the criteria in the first 24 hours exclude approximately one in eight ICU patients with infection and organ failure. • However, it may also decrease the specificity of these criteria. • These patients have substantial mortality and their epidemiologic data are identical to these of patients with classic SIRS-positive severe sepsis,which suggests that these two groups represent different clinical phenotypes of the same process. Moreover, on adjusted analysis, mortality increased linearly with each additional SIRS criterion from 0 to 4, with no transitional increase in risk at two criteria to justify the use of two criteria as definitional cutoff point.
  • 32. • The data were collected primarily for quality-control purposes and not for study purposes • We could study symptoms meeting SIRS criteria only during the first 24 hours in the ICU as recorded either every 30 minutes or every 60 minutes on the observation charts. • Thus, we cannot comment on their absence or presence before or after this period or for short intervals between observations. • The accuracy of specific diagnostic coding of infections was not independently monitored. However, on-site audits of data quality, validation rules built into data-collection software, and regular education sessions make systematic bias in diagnostic coding unlikely. Discussion Limitation
  • 33. • Some of the patients who had severe sepsis after surgery may have had SIRS because of the surgery rather than because of sepsis. However, this problem would apply to such patients in any clinical context. • Our definition of organ failure related only to the first 24 hours. Thus, patients who might have had organ failure on the second day of the ICU stay were missed. • Our definition of organ failure was based on the SOFA score. Other definitions exist,which we did not have sufficient data to assess. • Our definition of cardiovascular failure relied on the presence of hypotension and a diagnosis of shock and did not include the use of vasopressor drugs. However, such criteria were applied equally to both groups, which makes bias unlikely. Discussion Limitation
  • 34. Discussion เชื่อถือได้มากเนื่องจาก 1. ช่วงเวลาของข้อมูลที่ใช้ในการวิจัยเก็บตัวอย่างเป็นช่วงเวลาที่กว้างึึง 14 ปี 2. จานวนประชากรที่ใช้ในการวิจัยมีจานวนมาก 3. ข้อมูลที่นามาวิจัยมี inclusion exclusion criteria ที่ชัดเจน โดย อาศัยข้อมูลทาง physiological และ laboratory มาประเมินและ ข้อมูลที่เก็บคือข้อมูลที่ใช้จริงในแต่ละวันของการรักษาอยู่แล้วจึงไม่น่าจะมี bias 4. ข้อมูลที่ได้ไม่มีการเลือกแหล่งที่มาโดยใช้ข้อมูลทั้งหมดของ 172 ICU ที่มี อยู่ในพื้นที่ศึกษา ความน่าเชื่อถือ