Literature DB >> 31376907

Validating the Performance of 5 Risk Scores for Major Adverse Cardiac Events in Patients Who Achieved Complete Revascularization After Percutaneous Coronary Intervention.

Dong Zhang1, Ruohua Yan2, Guofeng Gao1, Hao Wang1, Rui Fu1, Jia Li1, Dong Yin1, Chenggang Zhu1, Lei Feng1, Weihua Song1, Bo Xu3, Kefei Dou4, Yuejin Yang1.   

Abstract

BACKGROUND: Risk scores, like the Synergy Between Percutaneous Coronary Intervention With Taxus and Cardiac Surgery (SYNTAX) score (SS), clinical SS, logistic SS (core model and extended model [LSSextended]), Age, Creatinine, and Ejection Fraction (ACEF) score, and modified ACEF score, are predictive for major adverse cardiac events (MACE; including all-cause mortality, myocardial infarction [MI], and revascularization) in patients who have undergone percutaneous coronary intervention (PCI). However, few studies have validated the performance of these scores in complete revascularization (CR) patients. We aimed to compare the performance of previous risk scores in patients who achieved CR after PCI.
METHODS: All patients (N = 10,724) who underwent PCI at Fuwai Hospital in 2013 were screened, and those who achieved CR after PCI were enrolled. Risk scores were calculated by experienced cardiologists blinded to the clinical outcomes. Discrimination of risk scores was assessed according to the area under the receiver operating characteristic curve (AUC).
RESULTS: Fifty-one percent (5375/10,724) of patients who underwent PCI achieved CR. At a mean follow-up of 2.4 years, the mortality, MI, revascularization, and MACE rates were 1.2%, 1.0%, 6.3%, and 7.7%, respectively. SS was not predictive for mortality (AUC, 0.51; 95% confidence interval [CI], 0.44-0.59). All scores involving clinical variables, especially modified ACEF score (AUC, 0.73; 95% CI, 0.66-0.79), could predict mortality. LSSextended was the most accurate for MI (AUC, 0.68; 95% CI, 0.61-0.75). SS and LSSextended were predictive for revascularization, with marginally significant AUCs (SS, 0.54; LSSextended, 0.55). No score was particularly accurate for predicting MACE, with AUCs ranging from 0.51 (ACEF score) to 0.58 (LSSextended).
CONCLUSIONS: In CR patients, risk scores involving clinical variables might help to predict mortality; however, no risk scores showed helpful discrimination for MACE.
Copyright © 2019 Canadian Cardiovascular Society. Published by Elsevier Inc. All rights reserved.

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Year:  2019        PMID: 31376907     DOI: 10.1016/j.cjca.2019.02.017

Source DB:  PubMed          Journal:  Can J Cardiol        ISSN: 0828-282X            Impact factor:   5.223


  3 in total

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