Key result
Six risk stratification systems showed fair discrimination for in-hospital mortality (ROC areas 0.73-0.77) among patients undergoing CABG, with EuroSCORE and simple Bayes models being most accurate.
Why the study?
How accurately do existing risk stratification models predict in-hospital mortality for patients undergoing isolated CABG?
Observational (n=5,471)
Yes
How accurately do existing risk stratification models predict in-hospital mortality for patients undergoing isolated CABG?
EuroSCORE and the simple Bayes model are reasonably accurate for comparing institutional CABG mortality, but all six evaluated models have poor predictive accuracy for individual patients.
No takes yet. Share an insight, caveat, or question.
Existing models offer only fair CABG mortality discrimination; leaves open need for better individual-level tools.
George Asimakopoulos (2003) conducted an observational in Coronary artery bypass grafting (n=5,471). Risk stratification models (Parsonnet, EuroSCORE, ACC/AHA, Bayes models) was evaluated on In-hospital mortality. Six risk stratification systems showed fair discrimination for in-hospital mortality (ROC areas 0.73-0.77) among patients undergoing CABG, with EuroSCORE and simple Bayes models being most accurate.
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