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. 2019 Feb;32(2):87-95.
doi: 10.3967/bes2019.014.

Applying the China-PAR Risk Algorithm to Assess 10-year Atherosclerotic Cardiovascular Disease Risk in Populations Receiving Routine Physical Examinations in Eastern China

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Free article

Applying the China-PAR Risk Algorithm to Assess 10-year Atherosclerotic Cardiovascular Disease Risk in Populations Receiving Routine Physical Examinations in Eastern China

Hui Hua Li et al. Biomed Environ Sci. 2019 Feb.
Free article

Abstract

Objective: To assess the 10-year Atherosclerotic Cardiovascular Disease (ASCVD) risk score among adults in eastern China using the China-PAR equation which formulated primarily for the Chinese population.

Methods: Data from 72,129 individuals from 35-74 years old who received routine physical examinations in eastern China were analyzed in this study. The 10-year risk scores were calculated using the China-PAR equation. The chi-square test and logistic regression were then performed to evaluate the association between the selected risk factors and overall CVD risk.

Results: The mean 10-year ASCVD risk scores were 3.82% ± 3.76% in men and 1.30% ± 1.65% in women based on the China-PAR equation. Overall, 20% of men and 3.5% of women were intermediate-risk, and 7.3% of men and 0.3% of women were high-risk. Waist to hip ratio (WHR) [OR = 1.16 (CI 95% = 1.06-1.26)], waist to height ratio (WHtR) [OR = 1.16 (CI 95% = 1.05-1.28)], non-high-density lipoprotein cholesterol (non-HDL-C) [OR = 1.23 (CI 95% = 1.09-1.39)], and total cholesterol (TC)/HDL-C [OR = 1.68 (CI 95% = 1.46-1.94)] were more strongly associated with CVD risk than body-mass index (BMI), waist circumference (WC), and TC alone.

Conclusion: Male-specific prevention and treatment strategies for ASCVD are needed in eastern China. In addition, WHR, WHtR, non-HDL-C, and TC/HDL-C which not included in the the China-PAR equation were also independently associated with 10-year ASCVD risk score categories.

Keywords: Cardiovascular disease; Cardiovascular risk score; China-PAR equation; Risk factors.

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