Why the study?
CVD risk estimation tools offer a simple way to identify high-risk individuals in the community, providing a potentially cost-effective strategy for prevention in resource-poor countries.
What is the estimated 10-year cardiovascular risk using the WHO/ISH risk prediction chart among an urban population in Salem, India?
What is the estimated 10-year cardiovascular risk using the WHO/ISH risk prediction chart among an urban population in Salem, India?
A significant proportion of the urban population in Salem, India, is at moderate to high cardiovascular risk, highlighting the need for intensive primary prevention efforts.
May aid targeted CVD prevention in rural settings; leaves open need for prospective validation of WHO/ISH charts.
Background: Coronary vascular disease (CVD) risk estimation tools are a simple means of identifying those at high risk in a community and hence a potentially cost-effective strategy for CVD prevention in resource-poor countries. The WHO /ISH risk prediction charts provide approximate estimates of cardiovascular disease risk in people who do not have established coronary heart disease, stroke or other atherosclerotic disease.Methods: A total of 280 subjects between 40 to 70 years of age were included in this cross sectional study. Eligible households was selected randomly (every 5th household) for the interview using systematic random sampling. Age, gender, smoking status, systolic blood pressure, presence or absence of diabetes and total serum cholesterol were used to compute the total CVD risk using WHO/ISH CVD risk prediction chart. The chart stratify an individual into low (<10%), moderate (10% to <20%), high (20% to <30%), and very high (>30%) risk groups.Results: Moderate and high CVD risk were 12.14% and 7.5% respectively. Of total study participants, 2.5% had very high risk (>40%). High risk (binge drinking) alcohol drinkers (p=0.04) and abdominal obesity (p=0.0001) were significantly associated with higher CVD risk. Higher prevalence of behavioral risk factors was also reported in our study population.Conclusions: A large proportion of the population is at moderate and high cardiovascular risk. Risk stratification and identification of individuals with a high risk for CHD who could potentially benefit from intensive primary prevention efforts are critically important in reducing the burden of CVD in India.
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K. Premanandh (2018) studied this question.
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