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ORIGINAL ARTICLE
Year : 2020  |  Volume : 9  |  Issue : 9  |  Page : 4853-4860

Estimation of cardiovascular risk in a rural population of Lucknow district using WHO/ISH risk prediction charts


1 Centre for Community Medicine, AIIMS, New Delhi, India
2 Department of Community Medicine and Public Health, King George's Medical University, Lucknow, Uttar Pradesh, India
3 Department of Community Medicine and School of Public Health, PGIMER, Chandigarh, Uttar Pradesh, India
4 Department of Community Medicine, Dr. Ram Manohar Lohia Institute of Medical Sciences, Lucknow, Uttar Pradesh, India

Correspondence Address:
Dr. Trideep J Deori
Room No. 14, Centre for Community Medicine, Ansari Nagar, AIIMS, New Delhi
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/jfmpc.jfmpc_646_20

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Context: Cardiovascular diseases (CVDs) are the number one cause of death globally, with low- and middle-income countries being affected disproportionately. By 2020, it is projected that there will be 25 million deaths from CVD worldwide, 19 million of which would be from middle- and low-income countries. Aims: The aim of this study was to estimate the 10-year risk of cardiovascular events among adults aged ≥40 years in a rural population of Lucknow district using the World Health Organization (WHO)/International Society of Hypertension (ISH) risk prediction charts for SEAR-D region. Settings and Design: This was a community based cross-sectional study, conducted from September 2017 to August 2018, in the rural areas of Lucknow district. Methods and Material: This study was conducted on 397 subjects aged ≥40 years. The two sets of the WHO/ISH risk prediction charts, with and without cholesterol, for WHO SEAR-D region were used in the study. Statistical analysis used: SPSS, version 23 was used for data analysis. Results: Using the risk assessment tools, with and without cholesterol, 78.5 and 76.8%, respectively, of the study population were in the 10-year cardiovascular risk category of <10% risk, while 11.2 and 10.4%, respectively, were in the category of ≥20% risk. Risk categories were found to be concordant in 86.3% of the population. Conclusions: The WHO/ISH risk prediction charts can be used at low-cost resource setting as a tool to predict CVD risk among asymptomatic individuals, thus, helping in early detection and prevention of CVDs in resource-scarce settings.


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