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  4. Comparative assessment of published atrial fibrillation stroke risk stratification schemes for predicting stroke, in a non-atrial fibrillation population: The Chin-Shan Community Cohort Study
 
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Comparative assessment of published atrial fibrillation stroke risk stratification schemes for predicting stroke, in a non-atrial fibrillation population: The Chin-Shan Community Cohort Study

Journal
International Journal of Cardiology
Journal Volume
168
Journal Issue
1
Pages
414-419
Date Issued
2013
Author(s)
Lip, Gregory Y.H.
HUNG-JU LIN  
KUO-LIONG CHIEN  
Hsu, Hsiu-Ching
TA-CHEN SU  
MING-FONG CHEN  
Lee, Yuan-Teh
DOI
10.1016/j.ijcard.2012.09.148
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84883759492&doi=10.1016%2fj.ijcard.2012.09.148&partnerID=40&md5=f7e131fe9561cc8e7caae6dab6953b0c
https://scholars.lib.ntu.edu.tw/handle/123456789/514799
Abstract
Background: In patients at high risk of stroke, such as atrial fibrillation (AF), there has been great interest in developing stroke risk prediction schemes for identifying those at high risk of stroke. Stroke risk prediction schemes have also been developed in non-AF populations, but are limited by lack of simplicity, which is more evident in schemes used in AF populations. We hypothesized that contemporary stroke risk stratification schemes used in assessing AF patients could predict stroke and thromboembolism in a non-AF community population, comparably to that seen in AF populations. Methods: We tested the CHADS2 and CHA2DS2-VASc schemes, as well as the AF stroke risk stratification schemes from the Framingham study, Rietbrock et al., 2006 ACC/AHA/ESC guidelines, the 8th American College of Cardiology (ACCP) guidelines and NICE, for predicting stroke in a large community cohort of non-AF subjects, the Chin-Shan Community Cohort Study. Results: The tested schemes had variable classification into low, moderate and high risk strata, with the proportion classified as low risk ranging from 5.4% (Rietbrock et al. to 59.0% (CHADS2 classical). Rates of stroke also varied in those classified as 'low risk' ranging from 1.1% (Rietbrock et al. to 3.5% (Framingham). All common risk schemes had broadly similar c-statistics, ranging from 0.658 (Framingham) to 0.728 (CHADS2 classical) when assessed as a continuous risk variable for predicting stroke in this population, with clear overlap between the 95% CIs. In an exploratory analysis amongst AF subjects in our population, the c-statistics were broadly similar to those seen in non-AF subjects. Conclusion: Contemporary stroke risk stratification schema used for AF can also be applied to non-AF populations with a similar (modest) predictive value. Given their simplicity (e.g. CHADS2 score), these scores could potentially be used for a 'quick' evaluation of stroke risk in non-AF populations, in a similar manner to AF populations. ? 2012 Elsevier Ireland Ltd. All rights reserved.
SDGs

[SDGs]SDG3

Other Subjects
adult; age; aged; anamnesis; article; body mass; cerebrovascular accident; cohort analysis; community care; congestive heart failure; controlled study; coronary artery disease; diabetes mellitus; diastolic blood pressure; disease classification; female; heart atrium fibrillation; heart left ventricle ejection fraction; high risk patient; human; hypertension; major clinical study; male; medical society; practice guideline; prediction; predictive value; priority journal; risk assessment; risk factor; smoking; systolic blood pressure; thromboembolism; Atrial fibrillation; CHADS(2); Stroke risk stratification; Adult; Aged; Asian Continental Ancestry Group; Atrial Fibrillation; Cohort Studies; Female; Follow-Up Studies; Humans; Male; Middle Aged; Predictive Value of Tests; Prospective Studies; Registries; Residence Characteristics; Risk Assessment; Stroke
Type
journal article

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