Please use this identifier to cite or link to this item: http://repository.kln.ac.lk/handle/123456789/25155
Title: Composite carotid intima-media thickness as a risk predictor of coronary heart disease in a selected population in Sri Lanka
Authors: Abeysuriya, V.
Wijesinha, N.A.I.
Priyadharshan, P.P.
Chandrasena, L.G.
Wickremasinghe, A.R.
Keywords: coronary heart
Issue Date: 2022
Publisher: Public Library of Science,
Citation: PLoS One.2022;17(8):e0271986.
Abstract: Background: Segment-specific variations of carotid intima-media thickness (CIMT) have not been assessed in South Asian populations. The purpose of this study was to determine if segment-specific CIMTs or a composite-CIMT score is a better risk predictor of coronary heart disease in South Asian populations. Methods: A comparative prospective study was conducted from November 2019 to October 2020 in a hospital in Colombo, Sri Lanka. Based on pre-defined inclusion and exclusion criteria, cases (having a diagnosis of Coronary Heart Disease (CHD), n = 338) and controls (non-CHD group, n = 356) were recruited. Ultrasound examination of the common carotid (CCA), the carotid bulb (CB) and the internal carotid segments (ICA) of the carotid vessels was conducted by a radiologist, and CIMTs were measured. A composite-CIMT score defined as the average value of all six segments of the left and right sides was derived. Results: 694 participants were enrolled (male n = 399, 57.5%). The mean (±SD) age of the study sample was 60.2 (±9.86) years. There were variations in segment-specific values between the left and right vessels. The mean composite-CIMT value of the CHD group was significantly higher than that of the non-CHD group. A composite-CIMT score of 0.758 had a sensitivity of 98.4% and a specificity of 64.6% in distinguishing CHD from non-CHD groups (Area under the curve (AUC): 0.926). Conclusions: Carotid artery segment-specific CIMT variations were present in this population. The composite CIMT score is better than segment-specific CIMTs in predicting CHD and may be used to predict CHD in this population.
Description: Indexed in MEDLINE.
URI: http://repository.kln.ac.lk/handle/123456789/25155
ISSN: 1932-6203
Appears in Collections:Journal/Magazine Articles

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