Literature DB >> 26310935

CHA2 DS2 VASc Score as a Predictor of Cardiovascular Events in Ambulatory Patients without Atrial Fibrillation.

Gustavo Freb Polenz1, Tiago Luiz Luz Leiria1, Vidal Essebag2, Marcelo Lapa Kruse1, Leonardo Martins Pires1, Thaize Brisolara Nogueira1, Raphael Boesche Guimarães1, Roberto Tofani Santanna1, Gustavo Glotz DE Lima1.   

Abstract

BACKGROUND: New evidence suggests that the CHA(2)DS(2)VASc (congestive heart failure, hypertension [HTN], age, diabetes, stroke, vascular disease, and female gender) score may be a reliable tool to predict the risk of thromboembolic events in patients without documented atrial fibrillation (AF).
METHODS: We performed a prospective cohort study of outpatients without AF or flutter, who were not using oral anticoagulation. Clinical characteristics were assessed and patients were stratified according to the CHA(2)DS(2)VASc score. We evaluated the incidence of major adverse cardiac outcomes and its relation to the CHA(2)DS(2)VASc score during the follow-up.
RESULTS: Four hundred sixty-eight patients without AF were enrolled with a mean follow-up of 12 ± 6 months. Age was 64.9 ± 11.3 years. The prevalence of HTN was 88.4%, diabetes 37.6%, heart failure 26.3%, and vascular disease 61.7%. Overall, CHA(2)DS(2)VASc score was 3.4 ± 1.4. There were 15 major adverse cardiac outcomes during 12.2 months of follow-up (overall incidence of 3.2 per 100 person-years). We found significant differences in relation to gender, age, previous stroke, and follow-up length in patients with and without adverse outcomes. The CHA(2)DS(2)VASc score was higher in those with adverse outcomes (4.2 ± 1.7 vs 3.4 ± 1.4; P = 0.035). Patients with a CHA(2)DS(2)VASc ≥6 had a relative risk for adverse outcomes of 4.2 (95% confidence interval: 1.27-13.90).
CONCLUSIONS: In our population, CHA(2)DS(2)VASc score predicts major adverse cardiac outcomes, including stroke and death, in a cohort of patients without AF.
© 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  CHA2DS2VASc; atrial fibrillation; cohort study; risk; stroke

Mesh:

Year:  2015        PMID: 26310935     DOI: 10.1111/pace.12744

Source DB:  PubMed          Journal:  Pacing Clin Electrophysiol        ISSN: 0147-8389            Impact factor:   1.976


  6 in total

1.  Arrhythmia Detection is Improved by 14-Day Continuous Electrocardiography Patch Monitoring and CHA2DS2-VASc Score.

Authors:  Yu-Wen Cheng; Lung-Sheng Wu; Chia-Tung Wu; Chia-Pin Lin; Pao-Hsien Chu
Journal:  Acta Cardiol Sin       Date:  2022-01       Impact factor: 2.672

2.  Cardiovascular Disease Prognostic Models in Latin America and the Caribbean: A Systematic Review.

Authors:  Rodrigo M Carrillo-Larco; Carlos Altez-Fernandez; Niels Pacheco-Barrios; Claudia Bambs; Vilma Irazola; J Jaime Miranda; Goodarz Danaei; Pablo Perel
Journal:  Glob Heart       Date:  2019-03

3.  Combining CHA2DS2-VASc score into RCRI for prediction perioperative cardiovascular outcomes in patients undergoing non-cardiac surgery: a retrospective pilot study.

Authors:  Song-Yun Chu; Pei-Wen Li; Fang-Fang Fan; Xiao-Ning Han; Lin Liu; Jie Wang; Jing Zhao; Xiao-Jin Ye; Wen-Hui Ding
Journal:  BMC Anesthesiol       Date:  2021-11-09       Impact factor: 2.217

4.  CHA2 DS2 -VASc and PESI scores are associated with right ventricular dysfunction on computed tomography pulmonary angiography in patients with acute pulmonary thromboembolism.

Authors:  Toktam Alirezaei; Zahra Mahboubi-Fooladi; Rana Irilouzadian; Ali Saberi Shahrbabaki; Haniyeh Golestani
Journal:  Clin Cardiol       Date:  2022-02-07       Impact factor: 2.882

5.  CHA2DS2-VASc score stratifies mortality risk in heart failure patients aged 75 years and older with and without atrial fibrillation.

Authors:  Andrea Sonaglioni; Chiara Lonati; Elisabetta Rigamonti; Mauro Viganò; Gian Luigi Nicolosi; Marco Proietti; Michele Lombardo; Sergio Harari
Journal:  Aging Clin Exp Res       Date:  2022-03-16       Impact factor: 3.636

6.  CHA2DS2-VASc score as a predictor of long-term cardiac outcomes in elderly patients with or without atrial fibrillation.

Authors:  Yunli Xing; Ying Sun; Hongwei Li; Mei Tang; Wei Huang; Kan Zhang; Dai Zhang; Deqiang Zhang; Qing Ma
Journal:  Clin Interv Aging       Date:  2018-03-29       Impact factor: 4.458

  6 in total

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