Applying the China-PAR Risk Algorithm to Assess 10-year Atherosclerotic Cardiovascular Disease Risk in Populations Receiving Routine Physical Examinations in Eastern China.
Biomed Environ Sci
; 32(2): 87-95, 2019 Feb.
Article
em En
| MEDLINE
| ID: mdl-30862340
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.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Algoritmos
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Aterosclerose
Tipo de estudo:
Etiology_studies
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Prognostic_studies
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Risk_factors_studies
Limite:
Adult
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Aged
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Female
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Humans
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Male
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Middle aged
País/Região como assunto:
Asia
Idioma:
En
Revista:
Biomed Environ Sci
Ano de publicação:
2019
Tipo de documento:
Article