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October 8, 2007Anaesthesia

Combining multiple comorbidities with Acute Physiology Score to predict hospital mortality of critically ill patients: a linked data cohort study

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Why the study?

Does replacing the APACHE II weighted comorbidity score with other comorbidity measures improve the prediction of hospital mortality in critically ill patients?

Population

24,303 critically ill patients linked to the Western Australian hospital morbidity database.

Comparison

Replacing the APACHE II weighted comorbidity… vs Standard APACHE II weighted comorbidity score

Design

Cohort

Authors

KHKwok M. HoSt John of God Subiaco HospitalJFJudith FinnCurtin UniversityMKMatthew KnuimanPreventive Cardiology

Discussion

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Overview

Retaining the original APACHE II comorbidity score remains appropriate for mortality prediction; leaves open whether novel predictors can enhance discrimination.

Structured PICO

Does replacing the APACHE II weighted comorbidity score with other comorbidity measures improve the prediction of hospital mortality in critically ill patients?

P
Population
24,303 critically ill patients linked to the Western Australian hospital morbidity database.
I
Intervention
Replacing the APACHE II weighted comorbidity score with other measures of prior comorbidity (Charlson comorbidity index and Elixhauser comorbidities)
C
Comparator
Standard APACHE II weighted comorbidity score
O
Outcome
Prediction of hospital mortality (discrimination)hard clinical

Replacing the APACHE II comorbidity score with more comprehensive indices like Charlson or Elixhauser does not significantly improve hospital mortality prediction in critically ill patients.

Cite This Study

Ho et al. (2007) studied this question.

synapsesocial.com/papers/6a7fa29fc7775ba1fcec9d3fhttps://doi.org/10.1111/j.1365-2044.2007.05231.x
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Also Consider

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  5. 5Impact of Different Measures of Comorbid Disease on Predicted Mortality of Intensive Care Unit Patients2002 · 87 citations