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Validation of the China-PAR Equations for Cardio-cerebrovascular Risk Prediction in the Inner Mongolian Population
Ni Mei Zeng1, Xiao Wei Zheng1, Hao Peng1
1Department of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou 215123, Jiangsu, China.
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.
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