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A risk score to predict hypertension in primary care settings in rural India

Publication Type : Journal

Publisher : SAGE Publications Sage CA: Los Angeles, CA

Source : Asia Pacific Journal of Public Health

Url : https://journals.sagepub.com/doi/full/10.1177/1010539515604701

Campus : Kochi

School : School of Medicine

Year : 2016

Abstract : We used the data of 297 participants (15-64 years old) from a cohort study (2003-2010) who were free from hypertension at baseline, to develop a risk score to predict hypertension by primary health care workers in rural India. Age ≥35 years, current smoking, prehypertension, and central obesity were significantly associated with incident hypertension. The optimal cutoff value of ≥3 had a sensitivity of 78.6%, specificity of 65.2%, positive predictive value of 41.1%, and negative predictive value of 90.8%. The area under the receiver operating characteristic curve of the risk score was 0.802 (95% confidence interval = 0.748-0.856). This simple and easy to administer risk score could be used to predict hypertension in primary care settings in rural India.

Cite this Research Publication : Sathish T, Kannan S, Sarma PS, Razum O, Thrift AG, Thankappan KR. A Risk Score to Predict Hypertension in Primary Care Settings in Rural India. Asia Pac J Public Health. 2015 Sep 9. pii: 1010539515604701. [Epub ahead of print] [impact factor 1.459]

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