Literature DB >> 25161130

Performance of the European System for Cardiac Operative Risk Evaluation II: a meta-analysis of 22 studies involving 145,592 cardiac surgery procedures.

Pietro Guida1, Florinda Mastro1, Giuseppe Scrascia1, Richard Whitlock2, Domenico Paparella3.   

Abstract

OBJECTIVES: A systematic review of the European System for Cardiac Operative Risk Evaluation (euroSCORE) II performance for prediction of operative mortality after cardiac surgery has not been performed. We conducted a meta-analysis of studies based on the predictive accuracy of the euroSCORE II.
METHODS: We searched the Embase and PubMed databases for all English-only articles reporting performance characteristics of the euroSCORE II. The area under the receiver operating characteristic curve, the observed/expected mortality ratio, and observed-expected mortality difference with their 95% confidence intervals were analyzed.
RESULTS: Twenty-two articles were selected, including 145,592 procedures. Operative mortality occurred in 4293 (2.95%), whereas the expected events according to euroSCORE II were 4802 (3.30%). Meta-analysis of these studies provided an area under the receiver operating characteristic curve of 0.792 (95% confidence interval, 0.773-0.811), an estimated observed/expected ratio of 1.019 (95% confidence interval, 0.899-1.139), and observed-expected difference of 0.125 (95% confidence interval, -0.269 to 0.519). Statistical heterogeneity was detected among retrospective studies including less recent procedures. Subgroups analysis confirmed the robustness of combined estimates for isolated valve procedures and those combined with revascularization surgery. A significant overestimation of the euroSCORE II with an observed/expected ratio of 0.829 (95% confidence interval, 0.677-0.982) was observed in isolated coronary artery bypass grafting and a slight underestimation of predictions in high-risk patients (observed/expected ratio 1.253 and observed-expected difference 1.859).
CONCLUSIONS: Despite the heterogeneity, the results from this meta-analysis show a good overall performance of the euroSCORE II in terms of discrimination and accuracy of model predictions for operative mortality. Validation of the euroSCORE II in prospective populations needs to be further studied for a continuous improvement of patients' risk stratification before cardiac surgery.
Copyright © 2014 The American Association for Thoracic Surgery. Published by Elsevier Inc. All rights reserved.

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Year:  2014        PMID: 25161130     DOI: 10.1016/j.jtcvs.2014.07.039

Source DB:  PubMed          Journal:  J Thorac Cardiovasc Surg        ISSN: 0022-5223            Impact factor:   5.209


  22 in total

1.  [Relationship between hyperuricemia and adverse events in patients aged 40 years or older receiving rheumatic aortic valve replacement].

Authors:  Ying Wu; Zu-Hui Ke; Ying-Jie Huang; Jie-Leng Huang; Dan-Qing Yu; Xue-Biao Wei; Xiao-Lan Chen
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2017-07-20

2.  Development of machine learning models for mortality risk prediction after cardiac surgery.

Authors:  Yunlong Fan; Junfeng Dong; Yuanbin Wu; Ming Shen; Siming Zhu; Xiaoyi He; Shengli Jiang; Jiakang Shao; Chao Song
Journal:  Cardiovasc Diagn Ther       Date:  2022-02

3.  Performance of the EuroSCORE II Model in Predicting Short-Term Mortality of General Cardiac Surgery: A Single-Center Study in Taiwan.

Authors:  Pin-Hung Liu; Hsin-Hung Shih; Pei-Leun Kang; Jun-Yen Pan; Tung-Ho Wu; Chieh-Jen Wu
Journal:  Acta Cardiol Sin       Date:  2022-07       Impact factor: 1.800

4.  Concomitant Hepatorenal Dysfunction and Malnutrition in Valvular Heart Surgery: Long-Term Prognostic Implications for Death and Heart Failure.

Authors:  Yi-Kei Tse; Chanchal Chandramouli; Hang-Long Li; Si-Yeung Yu; Mei-Zhen Wu; Qing-Wen Ren; Yan Chen; Pui-Fai Wong; Ko-Yung Sit; Daniel Tai-Leung Chan; Cally Ka-Lai Ho; Wing-Kuk Au; Xin-Li Li; Hung-Fat Tse; Carolyn S P Lam; Kai-Hang Yiu
Journal:  J Am Heart Assoc       Date:  2022-05-16       Impact factor: 6.106

5.  Machine Learning Methods for Predicting Long-Term Mortality in Patients After Cardiac Surgery.

Authors:  Yue Yu; Chi Peng; Zhiyuan Zhang; Kejia Shen; Yufeng Zhang; Jian Xiao; Wang Xi; Pei Wang; Jin Rao; Zhichao Jin; Zhinong Wang
Journal:  Front Cardiovasc Med       Date:  2022-05-03

6.  A framework for meta-analysis of prediction model studies with binary and time-to-event outcomes.

Authors:  Thomas Pa Debray; Johanna Aag Damen; Richard D Riley; Kym Snell; Johannes B Reitsma; Lotty Hooft; Gary S Collins; Karel Gm Moons
Journal:  Stat Methods Med Res       Date:  2018-07-23       Impact factor: 3.021

Review 7.  Frailty in cardiothoracic surgery: systematic review of the literature.

Authors:  Hiroshi Furukawa; Kazuo Tanemoto
Journal:  Gen Thorac Cardiovasc Surg       Date:  2015-04-28

Review 8.  Risk Stratification in Patients with Coronary Artery Disease: A Practical Walkthrough in the Landscape of Prognostic Risk Models.

Authors:  Sergio Buccheri; Paolo D'Arrigo; Gabriele Franchina; Davide Capodanno
Journal:  Interv Cardiol       Date:  2018-09

9.  Performance of the EuroSCORE II and the STS score for cardiac surgery in octogenarians.

Authors:  Hüseyin Kuplay; Sevinç Bayer Erdoğan; Murat Baştopçu; Eren Karpuzoğlu; Halit Er
Journal:  Turk Gogus Kalp Damar Cerrahisi Derg       Date:  2021-04-26       Impact factor: 0.332

10.  Combination of European System for Cardiac Operative Risk Evaluation (EuroSCORE) and Cardiac Surgery Score (CASUS) to Improve Outcome Prediction in Cardiac Surgery.

Authors:  Fabian Doerr; Matthias B Heldwein; Ole Bayer; Anton Sabashnikov; Alexander Weymann; Pascal M Dohmen; Thorsten Wahlers; Khosro Hekmat
Journal:  Med Sci Monit Basic Res       Date:  2015-08-17
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