Improving the existing cardiovascular risk scoring systems for better prediction in type 2 diabetes mellitus with and without coronary artery disease: A cross sectional study

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Abstract

Introduction and Aim: Atherosclerotic cardiovascular disease (ASCVD) and Framingham score (FRS) are two important scores used for the prediction of coronary events in an individual. Both of these scores do not account for certain known predisposing factors such as BMI, duration of diabetes, LDL cholesterol and glycemic index levels among type 2 diabetes mellitus (T2DM) subjects. So, this study aims to assess whether addition of any of these important risk factors might help in improving these scoring systems in T2DM patients. Methodology: Our study is a cross-sectional study which included 320 T2DM patients without CAD and 120 T2DM patients with CAD. Duration of T2DM, BMI, glycated hemoglobin and fasting lipid profile values of the T2DM patients were recorded from the Laboratory information system. Results: IBM Statistical Package for the Social Sciences (SPSS) 16 version was used for statistical analysis. T2DM patients with CAD had more years of duration of T2DM than the patients without CAD and a significant association was found (p=.045*). A strong significant positive correlation was observed between FRS score and duration of T2DM in diabetic patients with CAD (r=.331, p=<.0001*). Conclusion: Our observations imply that inclusion of important parameter such as duration of T2DM might improve in better calculation of these risk scores in T2DM patients. Future studies are needed to assess the performance of existing risk scores by including important parameter such as duration of diabetes which might help in improving these scoring systems in T2DM patients.

Original languageEnglish
Pages (from-to)454-457
Number of pages4
JournalBiomedicine (India)
Volume41
DOIs
Publication statusPublished - 07-09-2021

All Science Journal Classification (ASJC) codes

  • Biochemistry, Genetics and Molecular Biology(all)

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