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Assessing Risk in Patients with Stable Coronary Disease: When Should We Intensify Care and Follow-Up? Results from a Meta-Analysis of Observational Studies of the COURAGE and FAME Era

Authors :
Umberto Barbero
Fabrizio D’Ascenzo
Freek Nijhoff
Claudio Moretti
Giuseppe Biondi-Zoccai
Marco Mennuni
Davide Capodanno
Marco Lococo
Michael J. Lipinski
Fiorenzo Gaita
Source :
Scientifica, Vol 2016 (2016)
Publication Year :
2016
Publisher :
Hindawi Limited, 2016.

Abstract

Background. A large number of clinical and laboratory markers have been appraised to predict prognosis in patients with stable angina, but uncertainty remains regarding which variables are the best predictors of prognosis. Therefore, we performed a meta-analysis of studies in patients with stable angina to assess which variables predict prognosis. Methods. MEDLINE and PubMed were searched for eligible studies published up to 2015, reporting multivariate predictors of major adverse cardiac events (MACE, a composite endpoint of death, myocardial infarction, and revascularization) in patients with stable angina. Study features, patient characteristics, and prevalence and predictors of such events were abstracted and pooled with random-effect methods (95% CIs). Major adverse cardiovascular event (MACE) was the primary endpoint. Results. 42 studies (104,559 patients) were included. After a median follow-up of 57 months, cardiovascular events occurred in 7.8% of patients with MI in 6.2% of patients and need for repeat revascularization (both surgical and percutaneous) in 19.5% of patients. Male sex, reduced EF, diabetes, prior MI, and high C-reactive protein were the most powerful predictors of cardiovascular events. Conclusions. We show that simple and low-cost clinical features may help clinicians in identifying the most appropriate diagnostic and therapeutic approaches within the broad range of outpatients presenting with stable coronary artery disease.

Subjects

Subjects :
Medicine
Science

Details

Language :
English
ISSN :
2090908X
Volume :
2016
Database :
Directory of Open Access Journals
Journal :
Scientifica
Publication Type :
Academic Journal
Accession number :
edsdoj.81d82c9b88464619b3c8934bd9a236e1
Document Type :
article
Full Text :
https://doi.org/10.1155/2016/3769152