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Validation of the China-PAR Equations for Cardio-cerebrovascular Risk Prediction in the Inner Mongolian Population / 生物医学与环境科学(英文)
Article in En | WPRIM | ID: wpr-690634
Responsible library: WPRO
ABSTRACT
The objective of this study was to evaluate the usefulness of the China-PAR equations in predicting the 10-year risk of cardiovascular disease (CVD) in the Inner Mongolians population. A population-based, prospective cohort of 2,589 Mongolians were followed up from 2003 to 2012. Participants were categorized into 4 subgroups according to their 10-year CVD risks calculated using the China-PAR equations: < 5%, 5%-9.9%, 10%-19.9%, and ⪖ 20%. The China-PAR equations discriminated well with good C statistics (range, 0.76-0.86). The adjusted hazard ratios for CVD showed an increasing trend among the 4 subgroups (P for trend < 0.01). However, the China-PAR equations underestimated the 10-year CVD risk in Mongolians, and the calibration was unsatisfactory (Hosmer-Lemeshow χ2 = 19.98, P < 0.01 for men, χ2 = 46.58, P < 0.001 for women). The performance of the China-PAR equations warrants further validation in other ethnic groups in China.
Subject(s)
Full text: 1 Database: WPRIM Main subject: Cardiovascular Diseases / Proportional Hazards Models / Cerebrovascular Disorders / China / Epidemiology / Incidence / Prospective Studies / Risk Factors / Cohort Studies / Risk Assessment Type of study: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans / Male Country/Region as subject: Asia Language: En Journal: Biomedical and Environmental Sciences Year: 2018 Document type: Article
Full text: 1 Database: WPRIM Main subject: Cardiovascular Diseases / Proportional Hazards Models / Cerebrovascular Disorders / China / Epidemiology / Incidence / Prospective Studies / Risk Factors / Cohort Studies / Risk Assessment Type of study: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans / Male Country/Region as subject: Asia Language: En Journal: Biomedical and Environmental Sciences Year: 2018 Document type: Article