We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Severe coronary artery disease as predicted by carotid intima media thickness.
- Authors
GUPTA, SURBHI; SINGHAL, ANKUR; ARON, AASHIMA; SINGHAL, ASHISH
- Abstract
INTRODUCTION: Carotid artery intima-media thickness (CIMT) measurement is a non-invasive method to diagnose early atherosclerosis or predict the risk of myocardial infarction and stroke. Increased CIMT in the common carotid segment is accompanied by yearly risk of 0.7%- 2.2% in coronary heart disease, 0.4%-1.8% for stroke and from 1.8% to 3.2% for total cardiovascular disease. The aim of the study is to find the predictor role of CIMT in detection of severe form of Coronary artery disease (CAD). METHODS: 100 Cases selected from CAD patients who underwent PTCA. CIMT measurements done in all at common carotid artery level. CIMT measurements compared with number of coronary arteries involved using appropriate statistical tests. RESULTS: Baseline characteristics like mean age, male sex, obesity, dyslipidemia, diabetes, hypertension, smoking and family history were comparable to regional prevalence. The mean CIMT was 1.11 mm. the mean CIMT in single vessel disease, double vessel disease, and triple vessel disease & Left main coronary artery (LMCA) groups was 0.96, 1.15, 1.34 and 1.25 mm respectively which was significant P <0.001. Univariate and multivariate linear regression analysis showed a significant correlation between CIMT and severity of CAD with the R = 0.3 & P :'.S 0.001. CONCLUSION: CIMT independently predicts presence of severe CAD in form of multivessel and LMCA involvement. Deploying CIMT evaluation in low and intermediate risk individual(s) to detect severe form of CAD will be a good strategy in resource limited setting specially where invasive modalities are not easily available.
- Publication
Indian Journal of Basic & Applied Medical Research, 2020, Vol 9, Issue 3, p218
- ISSN
2250-284X
- Publication type
Academic Journal
- DOI
10.36848/IJBAMR/2020/12225.51645