The Impact of EuroSCORE II Risk Factors on Prediction of Long-Term Mortality

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• 作者：Fabio Barili ; MD ; PhD^a ; ^{fabarili@libero.it" class="auth_mail" title="E-mail the corresponding author} ; Davide Pacini ; MD^b ; Mariangela D&rsquo ; Ovidio ; MS^c ; Nicholas C. Dang ; MD^d ; Francesco Alamanni ; MD^e ; Roberto Di Bartolomeo ; MD^b ; Claudio Grossi ; MD^a ; Marina Davoli ; PhD^c ; Danilo Fusco ; PhD^c ; Alessandro Parolari ; MD ; PhD^f
• 刊名：The Annals of Thoracic Surgery
• 出版年：2016
• 出版时间：October 2016
• 年：2016
• 卷：102
• 期：4
• 页码：1296-1303
• 全文大小：1094 K

文摘

The European System for Cardiac Operation Risk Evaluation (EuroSCORE) II has not been tested yet for predicting long-term mortality. This study was undertaken to evaluate the relationship between EuroSCORE II and long-term mortality and to develop a new algorithm based on EuroSCORE II factors to predict long-term survival after cardiac surgery.

Methods

Complete data on 10,033 patients who underwent major cardiac surgery during a 7-year period were retrieved from three prospective institutional databases and linked with the Italian Tax Register Information System. Mortality at follow-up was analyzed with time-to-event analysis.

Results

The Kaplan-Meier estimates of survival at 1 and 5 were, respectively, 95.0% ± 0.2% and 84.7% ± 0.4%. Both discrimination and calibration of EuroSCORE II decreased in the prediction of 1-year and 5-year mortality. Nonetheless, EuroSCORE II was confirmed to be an independent predictor of long-term mortality with a nonlinear trend. Several EuroSCORE II variables were independent risk factors for long-term mortality in a regression model, most of all very low ejection fraction (less than 20%), salvage operation, and dialysis. In the final model, isolated mitral valve surgery and isolated coronary artery bypass graft surgery were associated with improved long-term survival.

Conclusions

The EuroSCORE II cannot be considered a direct estimator of long-term risk of death, as its performance fades for mortality at follow-up longer than 30 days. Nonetheless, it is nonlinearly associated with long-term mortality, and most of its variables are risk factors for long-term mortality. Hence, they can be used in a different algorithm to stratify the risk of long-term mortality after surgery.