Usefulness of the CHADS2 and R2CHADS2 scores for prognostic stratification in patients with coronary artery disease
Authors Li Y, Wang J, Lv L, Xu C, Liu H
Received 6 November 2017
Accepted for publication 19 February 2018
Published 5 April 2018 Volume 2018:13 Pages 565—571
Checked for plagiarism Yes
Review by Single-blind
Peer reviewers approved by Dr Lucy Goodman
Peer reviewer comments 3
Editor who approved publication: Dr Zhi-Ying Wu
Yuerui Li, Juan Wang, Lyu Lv, Cui Xu, Hongbin Liu
Department of Geriatric Cardiology, Chinese PLA General Hospital, National Clinical Research Center for Geriatric Diseases, Beijing, China
Objective: The current risk model for long-term prediction in coronary artery disease (CAD) is complicated, while a simple useful model is still lacking. We aim to investigate if CHADS2 and R2CHADS2 scores could predict long-term outcome for patients with CAD.
Patients and methods: We enrolled 3,700 patients with CAD between November 2010 and September 2014 at the Department of Cardiology from Chinese PLA General Hospital. The CHADS2 and R2CHADS2 scores were calculated. All cases were followed to track the incidence of composite end point consisting of cardiovascular (CV) death, myocardial infarction (MI), stroke, heart failure, and all-cause death.
Results: During a median 2.9-year follow-up, 443 patients experienced at least one element of the composite end point of CV death (n=168 [4.6%]), MI (n=59 [1.6%]), stroke (n=96 [2.6%]), heart failure (n=101 [2.8%]), and all-cause death (n=240 [6.6%]). Multivariate Cox regression analyses showed that the CHADS2 score (hazard ratio [HR]: 2.18, 95% CI: 2.00–2.38, p<0.0001) and the R2CHADS2 score (HR: 1.93, 95% CI: 1.83–2.04, p<0.0001) were independently associated with composite outcome. Receiver-operating characteristic analysis showed that compared with the CHADS2 score, the R2CHADS2 score had better discrimination for the prediction of long-term combined outcome (0.772 vs 0.791, p=0.0013).
Conclusion: CHADS2 and R2CHADS2 scores provide a quick and useful tool in predicting long-term outcome for patients with CAD.
Keywords: CHADS2 score, R2CHADS2 score, coronary artery disease, prognosis, risk factors, renal function
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