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Risk stratification of atherosclerotic cardiovascular disease in Chinese adults
- Source :
- Chronic Diseases and Translational Medicine, Vol 2, Iss 2, Pp 102-109 (2016), Chronic Diseases and Translational Medicine
- Publication Year :
- 2016
- Publisher :
- Wiley, 2016.
-
Abstract
- Objective: This study aims to determine the distribution of observed atherosclerotic cardiovascular disease (ASCVD) incidence in contemporary cohorts in China, and to identify cut-off points for ASCVD risk classification based on traditional criteria and new equations developed by Prediction for ASCVD Risk in China (China-PAR). Methods: The study populations included cohorts in the China-PAR project, with 34,757 participants eligible for the current analysis. Traditional risk stratification was assessed by using Chinese guidelines on prevention of CVD and hypertension, and 5 risk groups were classified based on these guidelines after slight modification for available risk factors. KaplanâMeier analysis was conducted to obtain the cumulative incidence of observed ASCVD events for all subjects and sub-groups. The predicted 10-year ASCVD risk was obtained using the China-PAR equations. Results: A total of 1922 ASCVD events were identified during an average follow-up of 14.1 years. According to the group classification based on traditional risk stratification, the observed 10-year risks for ASCVD were 4.61% (95% confidence interval [CI]: 4.11â5.10%) in the moderate-risk group and 8.74% (95% CI: 7.82â9.66%) in the high-risk group. Based on the China-PAR equations for risk assessment of ASCVD, those with predicted risks of
- Subjects :
- Medicine (General)
Atherosclerotic cardiovascular disease
business.industry
Incidence (epidemiology)
Cohort
Chinese adults
China-PAR project
030204 cardiovascular system & hematology
Confidence interval
03 medical and health sciences
R5-920
0302 clinical medicine
Risk stratification
Medicine
Original Article
Cumulative incidence
030212 general & internal medicine
Risk assessment
business
Demography
Subjects
Details
- ISSN :
- 25890514
- Volume :
- 2
- Database :
- OpenAIRE
- Journal :
- Chronic Diseases and Translational Medicine
- Accession number :
- edsair.doi.dedup.....711e433cca5714a910753948adadc138