BACKGROUND: World Health Organization/International Society of @entity101 (WHO/ISH) charts have been employed to predict the risk of cardiovascular outcome in heterogeneous settings. The aim of this research is to assess the prevalence of @entity65 ( @entity65 ) risk factors and to estimate the cardiovascular risk among adults aged >40 years, utilizing the risk charts alone, and by the addition of other parameters. METHODS: A cross-sectional study was performed in two of the villages availing health services of a medical college. Overall 570 subjects completed the assessment. The desired information was obtained using a pre-tested questionnaire and @entity1 were also subjected to anthropometric measurements and laboratory investigations. The WHO/ISH risk prediction charts for the South-East Asian region was used to assess the cardiovascular risk among the study @entity1 . RESULTS: The study covered 570 adults aged above 40 years. The mean age of the subjects was 54.2 (  11.1) years and 53.3% subjects were @entity1 . Seventeen percent of the @entity1 had moderate to high risk for the occurrence of @entity65 by using WHO/ISH risk prediction charts. In addition, @entity65 risk factors like smoking, @entity285 , low High-Density Lipoprotein (HDL) @entity165 were found in 32%, 53%, 56.3%, and 61.5% study @entity1 , respectively. CONCLUSION: Categorizing @entity1 as low (<10%)/moderate (10%-20%)/high (>20%) risk is one of the crucial steps to mitigate the magnitude of cardiovascular fatal/non-fatal outcome. This cross-sectional study indicates that there is a high burden of @entity65 risk in the rural Pondicherry as assessed by WHO/ISH risk prediction charts. Use of WHO/ISH charts is easy and inexpensive screening tool in predicting the cardiovascular event.

Estimation of the cardiovascular risk using World Health Organization/International Society of XXXX (WHO/ISH) risk prediction charts in a rural population of South India.

@entity1 :: ('9606', 'Species') :: ['participants', 'women', 'people'] @entity101 :: ('MESH:D006973', 'Disease') :: ['Hypertension'] @entity285 :: ('D000431', 'Chemical') :: ['alcohol'] @entity65 :: ('MESH:D002318', 'Disease') :: ['CVD', 'Cardiovascular Disease', 'cardiovascular events'] @entity165 :: ('MESH:D002784', 'Chemical') :: ['cholesterol']
@entity101 :: (MESH:D006973,Disease) :: ['Hypertension']
