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Cardiovascular disease risk score prediction models for women and its applicability to Asians
Louise Gh Goh1, Satvinder S Dhaliwal1, Timothy A Welborn2
1School of Public Health, Curtin Health Innovation Research Institute, Curtin University, Perth, WA, Australia.
Insights
Cardiovascular disease (CVD) risk varies by ethnicity. This study found Asian women generally had lower CVD risk than Caucasian women, though some risk predictions were similar between Asian and Australian women.
Area of Science:
- Cardiology
- Public Health
- Epidemiology
Background:
- Cardiovascular disease (CVD) risk factors show ethnic variations in distribution and association.
- Understanding these differences is crucial for accurate risk assessment and targeted prevention strategies.
Purpose of the Study:
- To assess and compare the 10-year predicted cardiovascular disease (CVD) risk between Asian and Caucasian women in a multiethnic cohort.
- To evaluate ethnic variations in CVD risk factor prevalence and their impact on risk prediction models.
Main Methods:
- Utilized data from 4,354 women (aged 20-69) with no prior heart disease, diabetes, or stroke.
- Calculated 10-year CVD risk using Framingham, SCORE, and general CVD risk score models, with ethnicity determined by country of birth.
- Employed nonparametric statistics to compare risk levels between ethnic groups.
Main Results:
- Asian women generally exhibited a lower risk of CVD compared to Caucasian women.
- However, the 10-year predicted CVD risk was similar between Asian and Australian women across certain risk models.
- These findings align with established Australian CVD prevalence data.
Conclusions:
- Ethnicity is a significant factor that must be integrated into cardiovascular disease (CVD) risk assessment protocols.
- Current Australian risk quantification and treatment standards may be applicable to Asian populations as an interim measure.
- Recommended risk models include the SCORE risk chart (low-risk regions) and Framingham risk score, with a call for incorporating variables like obesity, diet, and physical activity to enhance risk estimation.
Purpose:
Although elevated cardiovascular disease (CVD) risk factors are associated with a higher risk of developing heart conditions across all ethnic groups, variations exist between groups in the distribution and association of risk factors, and also risk levels. This study assessed the 10-year predicted risk in a multiethnic cohort of women and compared the differences in risk between Asian and Caucasian women.
Methods:
Information on demographics, medical conditions and treatment, smoking behavior, dietary behavior, and exercise patterns were collected. Physical measurements were also taken. The 10-year risk was calculated using the Framingham model, SCORE (Systematic COronary Risk Evaluation) risk chart for low risk and high risk regions, the general CVD, and simplified general CVD risk score models in 4,354 females aged 20-69 years with no heart disease, diabetes, or stroke at baseline from the third Australian Risk Factor Prevalence Study. Country of birth was used as a surrogate for ethnicity. Nonparametric statistics were used to compare risk levels between ethnic groups.
Results:
Asian women generally had lower risk of CVD when compared to Caucasian women. The 10-year predicted risk was, however, similar between Asian and Australian women, for some models. These findings were consistent with Australian CVD prevalence.
Conclusion:
In summary, ethnicity needs to be incorporated into CVD risk assessment. Australian standards used to quantify risk and treat women could be applied to Asians in the interim. The SCORE risk chart for low-risk regions and Framingham risk score model for incidence are recommended. The inclusion of other relevant risk variables such as obesity, poor diet/nutrition, and low levels of physical activity may improve risk estimation.
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