Affiliation:
1. Department of Pharmacology, Smt. NHL MMC, Ahmedabad, Gujarat, India
Abstract
Introduction: One of the primary reasons for fatalities and impairments on a global scale is cardiovascular disease (CVD), encompassing a cluster of illnesses impacting the heart and blood vessels. A CVD risk assessment is a screening tool that measures an individual’s risk of developing CVD. Objective: The objective of this study was to compare and evaluate cardiovascular risk using internationally recognized CVD risk scoring systems. Methodology: A prospective, cross-sectional study was carried out for 2 months after the approval of the ethics committee. Naive myocardial infarction (MI) patients presenting to the cardiology department and conforming to the inclusion criteria were enrolled in the study. Patients who are taking statins or any lipid-lowering drugs, as well as patients who are on low-dose aspirin and antidiabetic medications. Using the aforementioned gathered data, the cardiovascular risk scores were computed employing the American College of Cardiology/American Heart Association (ACC/AHA), Framingham risk scores (FRS), European Society of Cardiology (ESC) – CVD risk calculator, and QRISK→3-2018, and subsequently categorized as low risk, intermediate, or high risk based on the individual risk scores. Results: We enrolled 42 patients, with a mean age of 60 years with male dominance. The mean body mass index was 25.5. With a cholesterol/high-density lipoprotein (HDL) ratio of 4.9, the mean systolic blood pressure/diastolic blood pressure was 126/77 mm of Hg. The mean ACC/AHA cardiovascular risk score for 10-year atherosclerotic cardiovascular disease (ASCVD) risk was 11.34%, FRS mean score was 12%, ESC CVD risk calculator mean score was 15.45%, and QRISK3-2018 risk calculator mean score was 20.87% in patients presenting with first time with MI. Conclusion: QRISK3-2018 risk calculator is the most effective out of all the risk calculators with a maximum detection rate of MI in first time presented patients with Naïve MI patients.
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