Key result
EuroSCORE II and EuroSCORE (additive and logistic) showed good calibration but fair discrimination for predicting mortality in Nepalese adult cardiac surgical patients.
Why the study?
Limitations of EuroSCORE led to the development of EuroSCORE II, prompting a comparison between the two models in Nepalese cardiac surgical patients.
Does EuroSCORE II predict mortality better than EuroSCORE (additive and logistic) in adult cardiac surgical patients in Nepal?
Cohort (n=972)
No
Does EuroSCORE II predict mortality better than EuroSCORE (additive and logistic) in adult cardiac surgical patients in Nepal?
Both EuroSCORE (additive and logistic) and EuroSCORE II showed good calibration but only fair discrimination for predicting mortality in Nepalese cardiac surgical patients, with the older EuroSCORE models performing slightly better.
Only fair discrimination warrants cautious use in Nepal; leaves open validation of alternative or recalibrated models.
Introduction European System for Cardiac Operative Risk Evaluation (EuroSCORE) is the standard tool for risk stratification of patients undergoing cardiac surgery. Its relevance has been validated in European, Asian countries and also in Nepal. Its limitations led to development of EuroSCORE II. This study was carried out to compare EuroSCORE II with EuroSCORE in Nepalese cardiac surgical patients. MethodsA retrospective analytical cohort study of 3 years duration in 972 adult cardiac surgeries was conducted. Scores obtained from EuroSCORE (Logistic and Additive) and EuroSCORE II was compared with the observed mortality. Calibration was calculated by Hosmer- Lemeshow (H-L) test (Chi Square test) and discrimination by calculating the area under the curve (AUC) of receiver operating characteristics (ROC) curve. ResultsObserved mortality was 4.11%. EuroSCORE additive, logistic and EuroSCORE II predicted mortality were 4.32%, 4.55% and 2.13% respectively. H-L chi square calculation for EuroSCORE additive model could not hold as all observed and expected frequencies match exactly. Hence it can be considered as a good fit. EuroSCORE logistic model (H-L, Chi-square 7.743, p<0.001) and EuroSCORE II (H-L, Chi-square 11.631, p = 0.168) also showed good fit i.e. both can predict mortality satisfactorily. AUC of ROC curve of EuroSCORE additive, logistic and EuroSCORE II were 0.632, 0.636 and 0.616 respectively, which showed fair discrimination power. ConclusionMortality prediction of adult cardiac surgical patients by EuroSCORE (additive and logistic) and EuroSCORE II was satisfactory.
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Pradhan et al. (2020) conducted a cohort in Cardiac surgery (n=972). EuroSCORE II vs. EuroSCORE (additive and logistic) was evaluated on Discrimination for mortality prediction (AUC). EuroSCORE II and EuroSCORE (additive and logistic) showed good calibration but fair discrimination for predicting mortality in Nepalese adult cardiac surgical patients.
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