Abstract
Cardiovascular disease (CVD) is the most common non-communicable disease and the leading cause of death worldwide. To reduce the global burden of CVD and related morbidity and mortality, early prediction of CVD risk is essential. Various tools are available to access the risk of cardiovascular disorders. In the present study, we evaluated four risk score calculators associated to CVD for superiority and most reliable CVD prognosis parameters.
In the present prospective study, we investigated the probability of CVD in 150 individuals, including both men and women, using four different cardiovascular risk assessment estimators (Framingham Risk Score [FRS] Calculator, Q-RISK calculator, Reynolds score calculator, and atherosclerotic cardiovascular disease (ASCVD) risk calculator) and evaluated how closely they were related to 16 selected parameters. The four risk estimators shared several common parameters, such as age, smoking status, and blood pressure; however, each of them also used some unique parameters. We used statistical analysis to reduce the number of parameters necessary to predict CVD.
Statistical analysis revealed a significant correlation between the main factors responsible for CVD risk. The analysis revealed that out of the four risk calculators tested, the FRS calculator was superior to the others because it showed more significant corroboration with statistical tools and could better predict the most important prognostic factors in CVD.
In all four risk estimators, the parameters that affected risk most significantly and conferred the most reliable CVD prognosis were age, weight, total cholesterol, and hemoglobin levels. With that FRS calculator was superior to the others.