A simple way to identify insulin resistance in non-diabetic acute coronary syndrome patients with impaired fasting glucose

Background and Objective: The incidence of coronary artery disease (CAD) is increasing in India. Recent data suggesting insulin resistance can predict cardiovascular disease independently of the other risk factors, such as hypertension, visceral obesity, or dyslipidemia, so a focus on the relation b...

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Main Authors: Sayantan Ray, Ashit Kumar Bairagi, Santanu Guha, Satyabrata Ganguly, Debes Ray, Ashis Kumar Basu, Anirban Sinha
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2012-01-01
Series:Indian Journal of Endocrinology and Metabolism
Subjects:
Online Access:http://www.ijem.in/article.asp?issn=2230-8210;year=2012;volume=16;issue=8;spage=460;epage=464;aulast=Ray
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spelling doaj-2766015b54e040bb9826294a29576e712020-11-25T01:03:29ZengWolters Kluwer Medknow PublicationsIndian Journal of Endocrinology and Metabolism2230-82102230-95002012-01-0116846046410.4103/2230-8210.104132A simple way to identify insulin resistance in non-diabetic acute coronary syndrome patients with impaired fasting glucoseSayantan RayAshit Kumar BairagiSantanu GuhaSatyabrata GangulyDebes RayAshis Kumar BasuAnirban SinhaBackground and Objective: The incidence of coronary artery disease (CAD) is increasing in India. Recent data suggesting insulin resistance can predict cardiovascular disease independently of the other risk factors, such as hypertension, visceral obesity, or dyslipidemia, so a focus on the relation between acute coronary syndrome (ACS) and insulin resistance is relevant. Several studies addressing serum lipoprotein ratios as surrogates for insulin resistance have found promising results. We analyzed the association of lipoprotein ratios with the homeostatic model assessment of insulin resistance (HOMA-IR). Methods: One hundred non-diabetic patients with impaired fasting glucose admitted with a diagnosis of ACS were included in the study. Admission fasting glucose and insulin concentrations were measured. The HOMA-IR was used to calculate insulin resistance. The fasting serum total cholesterol (TC), triglycerides (TG), and high-density lipoprotein (HDL-C) levels are used to calculate following lipid ratios: TC/HDL-C and TG/HDL-C. The areas under the curves (AUC) of the receiver operating characteristic curves (ROC) were used to compare the power of these serum lipoprotein ratio markers. Results: Lipoprotein ratios were significantly higher in patients with HOMA Index >2 as compared to patients with Index <2. TG/HDL-C ratio and TC/HDL-C ratio were significantly correlated with HOMA-IR (P < 0.05) as obtained by Pearson′s correlation analysis (r = 0.4459, P = 0.0012; r = 0.4815, P = 0.0004; r = 0.3993; P = 0.0041, respectively). The area under the ROC curve of the TG/HDL-C and TC/HDL-C ratios for predicting insulin resistance was 0.80 (95% CI, 0.67-0.93), 0.78 (95% CI, 0.65-0.91), respectively. Conclusion: A plasma TG/HDL-C ratio and TC/HDL-C ratio provide a simple means of identifying insulin resistant and can be used as the markers of insulin resistance and cardiovascular diseases risk in adult non-diabetic patients.http://www.ijem.in/article.asp?issn=2230-8210;year=2012;volume=16;issue=8;spage=460;epage=464;aulast=RayAcute coronary syndromehomeostatic model assessment of insulin resistanceinsulin resistancelipoprotein ratios
collection DOAJ
language English
format Article
sources DOAJ
author Sayantan Ray
Ashit Kumar Bairagi
Santanu Guha
Satyabrata Ganguly
Debes Ray
Ashis Kumar Basu
Anirban Sinha
spellingShingle Sayantan Ray
Ashit Kumar Bairagi
Santanu Guha
Satyabrata Ganguly
Debes Ray
Ashis Kumar Basu
Anirban Sinha
A simple way to identify insulin resistance in non-diabetic acute coronary syndrome patients with impaired fasting glucose
Indian Journal of Endocrinology and Metabolism
Acute coronary syndrome
homeostatic model assessment of insulin resistance
insulin resistance
lipoprotein ratios
author_facet Sayantan Ray
Ashit Kumar Bairagi
Santanu Guha
Satyabrata Ganguly
Debes Ray
Ashis Kumar Basu
Anirban Sinha
author_sort Sayantan Ray
title A simple way to identify insulin resistance in non-diabetic acute coronary syndrome patients with impaired fasting glucose
title_short A simple way to identify insulin resistance in non-diabetic acute coronary syndrome patients with impaired fasting glucose
title_full A simple way to identify insulin resistance in non-diabetic acute coronary syndrome patients with impaired fasting glucose
title_fullStr A simple way to identify insulin resistance in non-diabetic acute coronary syndrome patients with impaired fasting glucose
title_full_unstemmed A simple way to identify insulin resistance in non-diabetic acute coronary syndrome patients with impaired fasting glucose
title_sort simple way to identify insulin resistance in non-diabetic acute coronary syndrome patients with impaired fasting glucose
publisher Wolters Kluwer Medknow Publications
series Indian Journal of Endocrinology and Metabolism
issn 2230-8210
2230-9500
publishDate 2012-01-01
description Background and Objective: The incidence of coronary artery disease (CAD) is increasing in India. Recent data suggesting insulin resistance can predict cardiovascular disease independently of the other risk factors, such as hypertension, visceral obesity, or dyslipidemia, so a focus on the relation between acute coronary syndrome (ACS) and insulin resistance is relevant. Several studies addressing serum lipoprotein ratios as surrogates for insulin resistance have found promising results. We analyzed the association of lipoprotein ratios with the homeostatic model assessment of insulin resistance (HOMA-IR). Methods: One hundred non-diabetic patients with impaired fasting glucose admitted with a diagnosis of ACS were included in the study. Admission fasting glucose and insulin concentrations were measured. The HOMA-IR was used to calculate insulin resistance. The fasting serum total cholesterol (TC), triglycerides (TG), and high-density lipoprotein (HDL-C) levels are used to calculate following lipid ratios: TC/HDL-C and TG/HDL-C. The areas under the curves (AUC) of the receiver operating characteristic curves (ROC) were used to compare the power of these serum lipoprotein ratio markers. Results: Lipoprotein ratios were significantly higher in patients with HOMA Index >2 as compared to patients with Index <2. TG/HDL-C ratio and TC/HDL-C ratio were significantly correlated with HOMA-IR (P < 0.05) as obtained by Pearson′s correlation analysis (r = 0.4459, P = 0.0012; r = 0.4815, P = 0.0004; r = 0.3993; P = 0.0041, respectively). The area under the ROC curve of the TG/HDL-C and TC/HDL-C ratios for predicting insulin resistance was 0.80 (95% CI, 0.67-0.93), 0.78 (95% CI, 0.65-0.91), respectively. Conclusion: A plasma TG/HDL-C ratio and TC/HDL-C ratio provide a simple means of identifying insulin resistant and can be used as the markers of insulin resistance and cardiovascular diseases risk in adult non-diabetic patients.
topic Acute coronary syndrome
homeostatic model assessment of insulin resistance
insulin resistance
lipoprotein ratios
url http://www.ijem.in/article.asp?issn=2230-8210;year=2012;volume=16;issue=8;spage=460;epage=464;aulast=Ray
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