Literature DB >> 30292759

A Simple Clinical Risk Score (C2HEST) for Predicting Incident Atrial Fibrillation in Asian Subjects: Derivation in 471,446 Chinese Subjects, With Internal Validation and External Application in 451,199 Korean Subjects.

Yan-Guang Li1, Daniele Pastori2, Alessio Farcomeni3, Pil-Sung Yang4, Eunsun Jang5, Boyoung Joung5, Yu-Tang Wang6, Yu-Tao Guo6, Gregory Y H Lip7.   

Abstract

BACKGROUND: The incidence of atrial fibrillation (AF) is increasing, conferring a major health-care issue in Asia. No risk score for predicting incident AF has been specifically developed in Asian subjects. Our aim was to investigate risk factors for incident AF in Asian subjects and to combine them into a simple clinical risk score.
METHODS: Risk factors for incident AF were analyzed in 471,446 subjects from the Chinese Yunnan Insurance Database (internal derivation cohort) and then combined into a simple clinical risk score. External application of the new score was performed in 451,199 subjects from the Korean National Health Insurance Service (external cohort).
RESULTS: In the internal cohort, structural heart disease (SHD), heart failure (HF), age ≥ 75 years, coronary artery disease (CAD), hyperthyroidism, COPD, and hypertension were associated with incident AF. Given the low prevalence and the strong association of SHD with incident AF (hazard ratio, 26.07; 95% CI, 18.22-37.30; P < .001), these patients should be independently considered as high risk for AF and were excluded from the analysis. The remaining predictors were combined into the new simple C2HEST score: C2: CAD/COPD (1 point each); H: hypertension (1 point); E: elderly (age ≥ 75 years, 2 points); S: systolic HF (2 points); and T: thyroid disease (hyperthyroidism, 1 point). The C2HEST score showed good discrimination with the area under the curve (AUC) of 0.75 (95% CI, 0.73-0.77) and had good calibration (P = .774). The score was internally validated by bootstrap sampling procedure, giving an AUC of 0.75 (95% CI, 0.73-0.77). External application gave an AUC of 0.65 (95% CI, 0.65-0.66). The C2HEST score was superior to CHADS2 and CHA2DS2-VASc scores in both cohorts in predicting incident AF.
CONCLUSIONS: We have developed and validated the C2HEST score as a simple clinical tool to assess the individual risk of developing AF in the Asian population without SHD.
Copyright © 2018 American College of Chest Physicians. All rights reserved.

Entities:  

Keywords:  Asian; atrial fibrillation; cohort study; prediction model; risk factors; risk score

Mesh:

Year:  2018        PMID: 30292759      PMCID: PMC6437029          DOI: 10.1016/j.chest.2018.09.011

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


  37 in total

Review 1.  Risk factors for new-onset atrial fibrillation: A focus on Asian populations.

Authors:  Yanguang Li; Daniele Pastori; Yutao Guo; Yutang Wang; Gregory Y H Lip
Journal:  Int J Cardiol       Date:  2018-06-15       Impact factor: 4.164

2.  Prediction of new-onset atrial fibrillation after first-ever ischemic stroke: A comparison of CHADS2, CHA2DS2-VASc and HATCH scores and the added value of stroke severity.

Authors:  Cheng-Yang Hsieh; Cheng-Han Lee; Darren Philbert Wu; Sheng-Feng Sung
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3.  Incidence of myocardial infarction and vascular death in elderly patients with atrial fibrillation taking anticoagulants: relation to atherosclerotic risk factors.

Authors:  Daniele Pastori; Pasquale Pignatelli; Francesco Angelico; Alessio Farcomeni; Maria Del Ben; Tommasa Vicario; Tommaso Bucci; Valeria Raparelli; Roberto Cangemi; Gaetano Tanzilli; Gregory Y H Lip; Francesco Violi
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Review 6.  Stroke prevention in atrial fibrillation--an Asian stroke perspective.

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Review 8.  Delayed rhythm control of atrial fibrillation may be a cause of failure to prevent recurrences: reasons for change to active antiarrhythmic treatment at the time of the first detected episode.

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Journal:  Europace       Date:  2007-12-17       Impact factor: 5.214

9.  Usefulness of HATCH score in the prediction of new-onset atrial fibrillation for Asians.

Authors:  Kazuyoshi Suenari; Tze-Fan Chao; Chia-Jen Liu; Yasuki Kihara; Tzeng-Ji Chen; Shih-Ann Chen
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10.  Simple risk model predicts incidence of atrial fibrillation in a racially and geographically diverse population: the CHARGE-AF consortium.

Authors:  Alvaro Alonso; Bouwe P Krijthe; Thor Aspelund; Katherine A Stepas; Michael J Pencina; Carlee B Moser; Moritz F Sinner; Nona Sotoodehnia; João D Fontes; A Cecile J W Janssens; Richard A Kronmal; Jared W Magnani; Jacqueline C Witteman; Alanna M Chamberlain; Steven A Lubitz; Renate B Schnabel; Sunil K Agarwal; David D McManus; Patrick T Ellinor; Martin G Larson; Gregory L Burke; Lenore J Launer; Albert Hofman; Daniel Levy; John S Gottdiener; Stefan Kääb; David Couper; Tamara B Harris; Elsayed Z Soliman; Bruno H C Stricker; Vilmundur Gudnason; Susan R Heckbert; Emelia J Benjamin
Journal:  J Am Heart Assoc       Date:  2013-03-18       Impact factor: 5.501

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8.  Prospective multicentric validation of a novel prediction model for paroxysmal atrial fibrillation.

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