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A Risk Score to Predict Hypertension in Primary Care Settings in Rural India
Thirunavukkarasu Sathish1, Srinivasan Kannan2, P Sankara Sarma2
1Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, Kerala, India The University of Melbourne, Parkville, VIC, Australia speaktosat@gmail.com.
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.
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