Cardiovascular disease risk prediction among employees registered in staff clinic of a tertiary care institute of northern india using available risk scoring charts

Abstract

Introduction: Noncommunicable diseases (NCD) is responsible for 52% of the demises and 38% of the total disease burden in the South-East Asia Region. Eighty percent of total deaths from NCD occur in poor countries. It is projected that cardiovascular diseases (CVD) will be the major killer in India by 2020. Methodology: This cross-sectional study will be carried out in staff clinic for one year in PGIMER, India. A scoring for risk prediction of CVD mortality in next ten years will be calculated by the tools to be tested (WHO CVD Risk Prediction Chart, QRISK2-2017 and by Framingham point scores). We will use simple random sampling using a sample size of 400. Results: During statistical analysis, proportions will be calculated for nominal data, and continuous data were given as mean and standard deviation, while categorical variables were compared using the Chi-square test for difference of proportion. Kappa statistics will be used to measure inter-rater reliability. All analyses will be two-tailed, and P < 0.05 was considered as statistically significant. Discussion: Those patients who will fall under the high-risk scores, counselling (food behavior change, lifestyle modification) will be given in the staff clinic OPD. It will be extremely helpful to the staffs according the risk score they can modify their lifestyle through individualized tailor-made counselling. There may be reduction in mortality among the staff members, and disease burden on staff clinic may be reduced. We can also inculcate health promoting behavior within the hospital setting. It will also increase job satisfaction; improved administration- employee relations; and they will perform better.