AI Article Synopsis

  • Approximately 60% of deaths in India are due to noncommunicable diseases, with coronary heart disease (CHD) being a major contributor, yet limited research exists on confirmed CHD in rural India.
  • A community-based cross-sectional study was conducted in 2013-2014, screening adults over 60 years from 13 villages for CHD using history, ECG, and additional tests for confirmation as needed.
  • Out of 1190 individuals screened, 61 were confirmed with CHD, resulting in a prevalence rate of 51.3 per 1000, with hypertension identified as the only significant independent risk factor for the disease.

Article Abstract

Background: Three-fifths of total deaths in India are attributed to noncommunicable diseases, and coronary heart disease (CHD) is one of the dominant causes. There are only few studies available in India to find confirmed CHD by pragmatic approach. This study aims to find prevalence of confirmed CHD and its risk factors in rural community of central India.

Materials And Methods: This was a community-based cross-sectional study during 2013-2014 involving adults ≥60 years from 13 villages in rural central India. We screened CHD on the basis of history and standard 12-lead ECG. Apart from the past documentation of CHD, we diagnosed confirmed CHD in symptomatic patients or with resting ECG changes by means of echocardiography, exercise ECG test or coronary angiography whenever needed.

Results: We screened 1190 of 1415 individuals ≥60 years for CHD. Five hundred eighty were men and 610 were women. Diagnosis of CHD was confirmed in 61 individuals (29 men and 32 women). The prevalence of CHD in individuals older than 60 years was 51.3 per 1000 population. Hypertension was the only independent risk factor associated with CHD, whereas association of diabetes mellitus, obesity, socioeconomic status and smoking with CHD was not significant.

Conclusion: Prevalence of confirmed CHD has increased in agrarian rural community in central India, which requires further studies to find out causative factors.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6477189PMC
http://dx.doi.org/10.1016/j.ihj.2019.01.002DOI Listing

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