Key result
The CABDEAL model had the highest predictive value for postoperative morbidity (AUC 0.772), whereas the EuroSCORE (AUC 0.826) and Cleveland models (AUC 0.858) were better predictors of mortality.
Why the study?
How do the CABDEAL, EuroSCORE, and Cleveland models compare in predicting postoperative morbidity and mortality in patients undergoing coronary artery bypass surgery?
Cohort (n=1,132)
How do the CABDEAL, EuroSCORE, and Cleveland models compare in predicting postoperative morbidity and mortality in patients undergoing coronary artery bypass surgery?
The CABDEAL model is superior for predicting postoperative morbidity, whereas the EuroSCORE and Cleveland models are better suited for predicting mortality in patients undergoing coronary artery bypass surgery.
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Supports CABDEAL for morbidity and EuroSCORE/Cleveland for mortality prediction in CABG; extends validations but leaves open clinical impact.
Tuula S. Kurki (2002) conducted a cohort in coronary artery bypass surgery (n=1,132). CABDEAL, EuroSCORE, and Cleveland risk models was evaluated on postoperative morbidity and in-hospital mortality. The CABDEAL model had the highest predictive value for postoperative morbidity (AUC 0.772), whereas the EuroSCORE (AUC 0.826) and Cleveland models (AUC 0.858) were better predictors of mortality.
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