Cardiovascular risk score predictive accuracy and subclinical atherosclerosis correlation in the Indian population: A cross-sectional study
| Autor: | Elanchezhian Selvaprakash, Kannan Kumaresan, Narendran Mani, Viswanathan Narasimhan |
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| Jazyk: | angličtina |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | Asian Journal of Medical Sciences, Vol 15, Iss 6, Pp 17-22 (2024) |
| Druh dokumentu: | article |
| ISSN: | 2467-9100 2091-0576 |
| DOI: | 10.3126/ajms.v15i6.63983 |
| Popis: | Background: Estimation of the risk of future atherosclerotic cardiovascular (CV) events is an important step in the primary prevention of CV events. However, the relative accuracy of the various currently available CV risk scores is not validated in Indians. Aims and Objectives: The study was done to compare the accuracy of three clinically relevant CV risk assessment algorithms in the South Indian population and to validate the risk scores by correlating with the measures of subclinical atherosclerosis. Materials and Methods: This cross-sectional study was conducted among patients attending a chest pain clinic at a Tertiary care center in South India. The study included subjects ≥30 years of age, with no previous coronary artery disease (CAD) and major cardiac illness. Totally 110 subjects were included in the study. Detailed clinical evaluation and routine investigations were done. The 10-year CV risk for each subject was calculated using the three risk scores – Framingham, American College of Cardiology/American Heart Association (ACC/AHA), and Q risk score. The risk scores of all patients were then correlated with their corresponding carotid intima-media thickness (CIMT) measured using carotid Doppler and coronary angiography results. Results: The mean age of the study population was 51.45±9.01 years and the majority of them were females (57.2%). CAD patients demonstrated significantly increased CIMT. There was a significant positive correlation (P |
| Databáze: | Directory of Open Access Journals |
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