Utilization of who-ish 10-year cvd risk prediction chart as a screening tool among supporting staff of a tertiary care hospital, Mysuru, India

Abstract

Background: Noncommunicable diseases are increasing and constitute a serious concern, accounting for 52% of the deaths and 38% of the disease burden in the World Health Organization (WHO) South-East Asia Region. Eighty percent of total deaths due to noncommunicable diseases occur in the low-income countries. Lifestyle changes are resulting in an increased risk of cardiovascular diseases (CVD). Surveillance of CVD risk factors is a key to reduce the burden of CVD. WHO–International Society of Hypertension (ISH) 10-year risk prediction charts have been developed for the screening of CVD risk factors in different regions. The National Programme for Prevention and Control of Diabetes, Cardiovascular Diseases and Stroke (NPDCS) has also recommended the utilization of these charts for routine screening. The present study has used the WHO-ISH CVD risk prediction chart to assess the feasibility of utilization of this chart as a predicting tool of a CVD event. Materials and Methods: A cross-sectional survey was conducted among supporting staff of JSS Hospital, Mysuru, Karnataka, India to assess the CVD risk factors and risk factor profiling, and the prediction of 10-year risk for CVD was done using a WHO-ISH risk prediction chart. Results: A total of 900 supporting staff were screened for CVD risks. Out of them, 30 (3.3%) had hypertension, 20 (2.2%) had diabetes mellitus, 18 (1.99%) consumed tobacco. The proportion of newly detected diabetes cases was 8 (0.9%) and of prediabetics was 32 (3.7%). The proportion of newly detected prehypertensives were 292 (39.08%), and 27 (3.61%) were hypertensives. Out of 175 individuals aged above 40 years, the WHO-ISH risk prediction chart predicted that 1.7% of them had >10% risk of CVD event within 10 years. Conclusion: Hidden, asymptomatic individual of diabetes, and hypertension were identified; the WHO-ISH 10 year risk prediction chart was easier for assessing the CVD risk factors and risk grouping, and could also be used to show them the extent of risk and predicting their 10-year risk of stroke or myocardial infarction (MI).