Does EuroSCORE II perform better than its original versions? A multicentre validation study

被引:129
作者
Barili, Fabio [1 ]
Pacini, Davide [2 ]
Capo, Antonio [1 ]
Rasovic, Olivera [2 ]
Grossi, Claudio [1 ]
Alamanni, Francesco [3 ]
Di Bartolomeo, Roberto [2 ]
Parolari, Alessandro [3 ]
机构
[1] S Croce Hosp, Dept Cardiac Surg, I-12100 Cuneo, Italy
[2] Univ Bologna, Dept Cardiac Surg, Policlin S Orsola Malpighi, I-40138 Bologna, Italy
[3] Univ Milan, Dept Cardiovasc Sci, Ctr Cardiol Monzino IRCCS, I-20138 Milan, Italy
关键词
Risk factors; EuroSCORE; Cardiac surgery; Validation; CARDIAC-SURGERY; MORTALITY RISK; EJECTION FRACTION; PREDICTION MODELS; VALVE; SCORE; STRATIFICATION; CREATININE; SOCIETY; PLUS;
D O I
10.1093/eurheartj/ehs342
中图分类号
R5 [内科学];
学科分类号
100201 [内科学];
摘要
The European System for Cardiac Operation Risk Evaluation (EuroSCORE) is widely used for predicting in-hospital mortality after cardiac surgery. A new score (EuroSCORE II) has been recently developed to update the previously released versions. This study was undertaken to validate EuroSCORE II, to compare its performance with the original EuroSCOREs and to evaluate the effects of the removal of those factors that were included in the score even if they were statistically non-significant. Data on 12 325 consecutive patients who underwent major cardiac surgery in a 6-year period were retrieved from three prospective institutional databases. Discriminatory power was assessed using the c-index and comparison among the scores performances was performed with Delong, bootstrap, and Venkatraman methods. Calibration was evaluated with calibration curves and associated statistics. The in-hospital mortality rate was 2.2. The discriminatory power was high and similar in all algorithms (area under the curve 0.82, 95 CI: 0.790.84 for additive EuroSCORE; 0.82, 95 CI: 0.790.84 for logistic EuroSCORE; 0.82, 95 CI: 0.800.85 for EuroSCORE II). The EuroSCORE II had a fair calibration till 30-predicted values and over-predicted beyond. The removal of non-significant factors from EuroSCORE II did not affect performance, being both the calibration and discrimination comparable. This validation study demonstrated that EuroSCORE II is a good predictor of perioperative mortality. It showed an optimal calibration until 30-predicted mortality. Nonetheless, it does not seem to significantly improve the performance of older versions in the higher tertiles of risk. Moreover, it could be simplified, as the removal from the algorithm of non-significant factors does not alter its performance.
引用
收藏
页码:22 / 29
页数:8
相关论文
共 41 条
[1]
Validation of the EuroSCORE risk models in Turkish adult cardiac surgical population [J].
Akar, Ahmet Ruchan ;
Kurtcephe, Murat ;
Sener, Erol ;
Alhan, Cem ;
Durdu, Serkan ;
Kunt, Ayse Gul ;
Guvenir, Halil Altay .
EUROPEAN JOURNAL OF CARDIO-THORACIC SURGERY, 2011, 40 (03) :730-735
[2]
[Anonymous], 1999, Applied Survival Analysis: Time-to-Event
[3]
Accuracy assessment of prediction in patient outcomes [J].
Bartfay, Emma ;
Bartfay, Wally J. .
JOURNAL OF EVALUATION IN CLINICAL PRACTICE, 2008, 14 (01) :1-10
[4]
Validation of EuroSCORE II in Patients Undergoing Coronary Artery Bypass Surgery [J].
Biancari, Fausto ;
Vasques, Francesco ;
Mikkola, Reija ;
Martin, Marta ;
Lahtinen, Jarmo ;
Heikkinen, Jouni .
ANNALS OF THORACIC SURGERY, 2012, 93 (06) :1930-1935
[5]
Use and misuse of the receiver operating characteristic curve in risk prediction [J].
Cook, Nancy R. .
CIRCULATION, 2007, 115 (07) :928-935
[6]
Predictive value of EuroSCORE on long term outcome in cardiac surgery patients: a single institution study [J].
De Maria, R ;
Mazzoni, M ;
Parolini, M ;
Gregori, D ;
Bortone, F ;
Arena, V ;
Parodi, O .
HEART, 2005, 91 (06) :779-784
[7]
The cardiac anesthesia risk evaluation score - A clinically useful predictor of mortality and morbidity after cardiac surgery [J].
Dupuis, JY ;
Wang, F ;
Nathan, H ;
Lam, M ;
Grimes, S ;
Bourke, M .
ANESTHESIOLOGY, 2001, 94 (02) :194-204
[8]
Prediction Models for Prolonged Intensive Care Unit Stay After Cardiac Surgery Systematic Review and Validation Study [J].
Ettema, Roelof G. A. ;
Peelen, Linda M. ;
Schuurmans, Marieke J. ;
Nierich, Arno P. ;
Kalkman, Cor J. ;
Moons, Karel G. M. .
CIRCULATION, 2010, 122 (07) :682-U16
[9]
Harrell F. E., 2001, Regression modelling strategies: with applications to linear models, logistic regression, and survival analysis, DOI DOI 10.1007/978-1-4757-3462-1
[10]
Harrell FE, 1996, STAT MED, V15, P361, DOI 10.1002/(SICI)1097-0258(19960229)15:4<361::AID-SIM168>3.0.CO