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  4. Constructing the prediction model for the risk of stroke in a chinese population: Report from a cohort study in Taiwan
 
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Constructing the prediction model for the risk of stroke in a chinese population: Report from a cohort study in Taiwan

Journal
Stroke
Journal Volume
41
Journal Issue
9
Pages
1858-1864
Date Issued
2010-09
Author(s)
KUO-LIONG CHIEN  
TA-CHEN SU  
Hsu, Hsiu-Ching
WEI-TIEN CHANG  
Chen, Pei-Chun
Sung, Fung-Chang
Chen, Ming-Fong
Lee, Yuan-Teh
DOI
10.1161/STROKEAHA.110.586222
URI
https://scholars.lib.ntu.edu.tw/handle/123456789/475863
https://www.scopus.com/record/display.uri?eid=2-s2.0-77956408746&doi=10.1161%2fSTROKEAHA.110.586222&origin=inward&txGid=c24033da44fd3ec92d4ec855b4a26752
Abstract
Background and Purpose-: Prediction rules for the risk of stroke have been proposed. However, most studies were conducted with whites or for secondary prevention, and it is not clear whether these models apply to the Chinese population. The purpose of this study was to construct a simple points-based clinical model for predicting incident stroke among Chinese adults in Taiwan. Methods-: We estimated the 10-year risk of stroke in a cohort study of middle-aged and elderly participants who were free from stroke at baseline. Multivariate Cox model-derived coefficients were used to construct the simple points-based clinical and biochemical model and the prediction measures using the area under the receive operating characteristic curve, net reclassification improvement, and integrated discrimination improvement statistics were applied. Results-: Of the 3513 participants without stroke at baseline, 240 incident cases of stroke were documented for a median 15.9-year follow-up. Age (8 points), gender (1 point), systolic blood pressure (3 points), diastolic blood pressure (2 points), family history of stroke (1 point), atrial fibrillation (3 points), and diabetes (1 point) were found to significantly predict stroke events. The estimated area under the receive operating characteristic curve for this clinical points-based model was 0.772 (95% CI, 0.744 to 0.799). The discrimination ability of this clinical model was similar to the coefficients-based models and better than available stroke models. Conclusions-: We have constructed a model for predicting 15-year incidence of stroke in Chinese adults and this model may be useful in identifying individuals at high risk of stroke. ? 2010 American Heart Association, Inc.
Subjects
cohort study; prediction model; stroke
SDGs

[SDGs]SDG3

Other Subjects
adult; age distribution; aged; article; cardiovascular risk; Chinese; diastolic blood pressure; family history; female; geriatrics; heart atrium fibrillation; human; major clinical study; male; population research; priority journal; receiver operating characteristic; statistics; stroke; systolic blood pressure; Taiwan; age; area under the curve; Asian continental ancestry group; blood pressure; incidence; lifestyle; middle aged; proportional hazards model; risk; risk assessment; risk factor; statistical model; statistics and numerical data; Stroke; Age Factors; Aged; Area Under Curve; Asian Continental Ancestry Group; Blood Pressure; Humans; Incidence; Life Style; Middle Aged; Models, Statistical; Proportional Hazards Models; Risk; Risk Assessment; Risk Factors; Stroke; Taiwan; Age Factors; Aged; Area Under Curve; Asian Continental Ancestry Group; Blood Pressure; Humans; Incidence; Life Style; Middle Aged; Models, Statistical; Proportional Hazards Models; Risk; Risk Assessment; Risk Factors; Stroke; Taiwan
Type
journal article

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