A meta-analysis of the predictive accuracy of postoperative mortality using the american society of anesthesiologists' physical status classification system

Chieh Yang Koo, Joseph A. Hyder, Jonathan P. Wanderer, Matthias Eikermann, Satya Krishna Ramachandran

Research output: Contribution to journalArticlepeer-review

40 Scopus citations

Abstract

Background The American Society of Anesthesiologists' physical status (ASA) tool has been applied to determine compensation, risk adjustment and risk prediction, but little is known about the accuracy and generalizability of this tool for prediction of postoperative mortality. Methods We systematically investigated prior published reports of associations between ASA physical status and mortality to test the hypothesis that ASA physical status will have varying accuracy in prediction of postoperative mortality across surgical populations with varying surgical risk of mortality. We used random effects models and metaregression to account for heterogeneity. Results Combining 77 studies with 165,705 patients, the ASA physical status tool demonstrated the following pooled performance (95% confidence intervals)-sensitivity 0.74 (0.73, 0.74), specificity 0.67 (0.67, 0.67), and area under summary receiver operating curve 0.736 (0.725, 0.747). Metaregression revealed that study death rates and surgical specialty were significant factors. Conclusion ASA physical status is a better predictor of postoperative mortality in settings with lower rather than higher death rates.

Original languageEnglish (US)
Pages (from-to)88-103
Number of pages16
JournalWorld Journal of Surgery
Volume39
Issue number1
DOIs
StatePublished - Jan 1 2015
Externally publishedYes

ASJC Scopus subject areas

  • Surgery

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