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Correlation of epicardial fat quantification with severity of coronary artery disease: A study in Indian population

OBJECTIVE: We studied the correlation of quantified epicardial fat with severity of coronary artery disease in patients [suspected cases of coronary artery disease (CAD)] referred for computed tomography (CT) coronary angiography and established cutoffs for epicardial fat volume (EFV) for the presen...

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Autores principales: Khurana, Rishabh, Yadav, Anurag, Buxi, T.B.S., Sawhney, J.P.S., Rawat, Kishan Singh, Ghuman, Samarjit S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6310730/
https://www.ncbi.nlm.nih.gov/pubmed/30595247
http://dx.doi.org/10.1016/j.ihj.2018.08.009
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author Khurana, Rishabh
Yadav, Anurag
Buxi, T.B.S.
Sawhney, J.P.S.
Rawat, Kishan Singh
Ghuman, Samarjit S.
author_facet Khurana, Rishabh
Yadav, Anurag
Buxi, T.B.S.
Sawhney, J.P.S.
Rawat, Kishan Singh
Ghuman, Samarjit S.
author_sort Khurana, Rishabh
collection PubMed
description OBJECTIVE: We studied the correlation of quantified epicardial fat with severity of coronary artery disease in patients [suspected cases of coronary artery disease (CAD)] referred for computed tomography (CT) coronary angiography and established cutoffs for epicardial fat volume (EFV) for the presence of CAD and obstructive CAD. METHODS: A prospective cum retrospective cross-sectional observational study was carried out on 950 Indian subjects (suspected cases of CAD) who were referred for coronary CT in the year 2013–2016. EFV was quantified using semiautomatic technique on multidetector coronary CT angiography. The presence of atherosclerotic plaques and degree of stenosis was assessed on coronary CT angiography scans. The correlation between quantified EFV and degree of stenosis was assessed. Multivariate analysis was also performed. RESULTS: A higher quantity of epicardial fat is found in patients with increasing severity of coronary artery stenosis. The EFV cutoff for the presence of CAD and obstructive CAD are 49.75 and 67.69 mL with area under the curve, sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy of 0.68, 81%, 45.9%,58.24%, 72.2%, and 62.84% and 0.709, 64.9%, 66.4%, 35.84%, 86.55%, and 66%, respectively. EFV correlates with age, weight, and body mass index (BMI). Multivariate analysis revealed EFV to be an independent risk factor for the presence of CAD. CONCLUSIONS: Higher quantities of EFV are found in patients with greater degree of coronary artery stenosis. EFV correlates with age, weight, and BMI. EFV is an independent risk factor for CAD.
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spelling pubmed-63107302019-12-01 Correlation of epicardial fat quantification with severity of coronary artery disease: A study in Indian population Khurana, Rishabh Yadav, Anurag Buxi, T.B.S. Sawhney, J.P.S. Rawat, Kishan Singh Ghuman, Samarjit S. Indian Heart J Clinical and Preventive Cardiology OBJECTIVE: We studied the correlation of quantified epicardial fat with severity of coronary artery disease in patients [suspected cases of coronary artery disease (CAD)] referred for computed tomography (CT) coronary angiography and established cutoffs for epicardial fat volume (EFV) for the presence of CAD and obstructive CAD. METHODS: A prospective cum retrospective cross-sectional observational study was carried out on 950 Indian subjects (suspected cases of CAD) who were referred for coronary CT in the year 2013–2016. EFV was quantified using semiautomatic technique on multidetector coronary CT angiography. The presence of atherosclerotic plaques and degree of stenosis was assessed on coronary CT angiography scans. The correlation between quantified EFV and degree of stenosis was assessed. Multivariate analysis was also performed. RESULTS: A higher quantity of epicardial fat is found in patients with increasing severity of coronary artery stenosis. The EFV cutoff for the presence of CAD and obstructive CAD are 49.75 and 67.69 mL with area under the curve, sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy of 0.68, 81%, 45.9%,58.24%, 72.2%, and 62.84% and 0.709, 64.9%, 66.4%, 35.84%, 86.55%, and 66%, respectively. EFV correlates with age, weight, and body mass index (BMI). Multivariate analysis revealed EFV to be an independent risk factor for the presence of CAD. CONCLUSIONS: Higher quantities of EFV are found in patients with greater degree of coronary artery stenosis. EFV correlates with age, weight, and BMI. EFV is an independent risk factor for CAD. Elsevier 2018-12 2018-08-20 /pmc/articles/PMC6310730/ /pubmed/30595247 http://dx.doi.org/10.1016/j.ihj.2018.08.009 Text en © 2018 Cardiological Society of India. Published by Elsevier B.V. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Clinical and Preventive Cardiology
Khurana, Rishabh
Yadav, Anurag
Buxi, T.B.S.
Sawhney, J.P.S.
Rawat, Kishan Singh
Ghuman, Samarjit S.
Correlation of epicardial fat quantification with severity of coronary artery disease: A study in Indian population
title Correlation of epicardial fat quantification with severity of coronary artery disease: A study in Indian population
title_full Correlation of epicardial fat quantification with severity of coronary artery disease: A study in Indian population
title_fullStr Correlation of epicardial fat quantification with severity of coronary artery disease: A study in Indian population
title_full_unstemmed Correlation of epicardial fat quantification with severity of coronary artery disease: A study in Indian population
title_short Correlation of epicardial fat quantification with severity of coronary artery disease: A study in Indian population
title_sort correlation of epicardial fat quantification with severity of coronary artery disease: a study in indian population
topic Clinical and Preventive Cardiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6310730/
https://www.ncbi.nlm.nih.gov/pubmed/30595247
http://dx.doi.org/10.1016/j.ihj.2018.08.009
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