Surrogate Measures of Insulin Resistance in Middle-aged Non-diabetic Subjects

Objective: Insulin resistance has been shown to be a risk factor for type 2 diabetes and cardiovascular disease. The assessment of insulin sensitivity in the clinical practice, however, faces several difficulties. The study proposes to analyze surrogate measures of insulin resistance based on fastin...

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Main Author: Katalin Csép
Format: Article
Language:English
Published: Sciendo 2013-12-01
Series:Acta Medica Marisiensis
Subjects:
Online Access:https://doi.org/10.2478/amma-2013-0064
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spelling doaj-86071785267b4f789a45283a5007f7992021-09-06T19:41:10ZengSciendoActa Medica Marisiensis2247-61132013-12-0159627928410.2478/amma-2013-0064amma-2013-0064Surrogate Measures of Insulin Resistance in Middle-aged Non-diabetic SubjectsKatalin Csép0Department of Genetics, University of Medicine and Pharmacy, Tîrgu Mureș, RomaniaObjective: Insulin resistance has been shown to be a risk factor for type 2 diabetes and cardiovascular disease. The assessment of insulin sensitivity in the clinical practice, however, faces several difficulties. The study proposes to analyze surrogate measures of insulin resistance based on fasting insulin levels in central Romania, and check whether the diagnosis of the metabolic syndrome is an adequate strategy to identify middle-aged persons with reduced insulin sensitivity. Methods: Anthropometric measurements, metabolic profile, and surrogates measures of insulin sensitivity (GIR, HOMA, QUICKI, FIRI, Belfiore, Bennett, Raynaud, McAuley index) based on fasting insulin levels were assessed in 233 non-diabetic middle aged subjects. Results: Cutoff values, determined as the lowest quartile of insulin sensitivity for fasting insulin, HOMA, IRI (1/QUICKI), FIRI and Belfiore's, Bennett's, Raynaud's and McAuley's insulin sensitivity indices were 10.49 mU/L, 2.1, 3.01, 2.32, and 0.03, 1.34, 3.81, 6.29, 5.82. Components of the metabolic syndrome showed moderate but significant correlations with the surrogate measures of insulin resistance (r = 0.22-0.56, p <0.05). HOMA-IR and McAuley indices were the best predictors of clustered cardiometabolic risk factors (AUC - 0.83, 0.81 and 0.82). The metabolic syndrome diagnosis performed well in identifying patients with reduced insulin sensitivity (McAuley 2: sensitivity - 0.78, specificity - 0.84). Conclusion: Fasting insulin derived insulin sensitivity indices may help the recognittion of insulin resistant states predicting cardiometabolic disorders. Actively looking for insulin resistance by these simple indices, or by diagnosing the metabolic syndrome, those at increased risk can be recognizedhttps://doi.org/10.2478/amma-2013-0064insulin resistancemetabolic syndrome
collection DOAJ
language English
format Article
sources DOAJ
author Katalin Csép
spellingShingle Katalin Csép
Surrogate Measures of Insulin Resistance in Middle-aged Non-diabetic Subjects
Acta Medica Marisiensis
insulin resistance
metabolic syndrome
author_facet Katalin Csép
author_sort Katalin Csép
title Surrogate Measures of Insulin Resistance in Middle-aged Non-diabetic Subjects
title_short Surrogate Measures of Insulin Resistance in Middle-aged Non-diabetic Subjects
title_full Surrogate Measures of Insulin Resistance in Middle-aged Non-diabetic Subjects
title_fullStr Surrogate Measures of Insulin Resistance in Middle-aged Non-diabetic Subjects
title_full_unstemmed Surrogate Measures of Insulin Resistance in Middle-aged Non-diabetic Subjects
title_sort surrogate measures of insulin resistance in middle-aged non-diabetic subjects
publisher Sciendo
series Acta Medica Marisiensis
issn 2247-6113
publishDate 2013-12-01
description Objective: Insulin resistance has been shown to be a risk factor for type 2 diabetes and cardiovascular disease. The assessment of insulin sensitivity in the clinical practice, however, faces several difficulties. The study proposes to analyze surrogate measures of insulin resistance based on fasting insulin levels in central Romania, and check whether the diagnosis of the metabolic syndrome is an adequate strategy to identify middle-aged persons with reduced insulin sensitivity. Methods: Anthropometric measurements, metabolic profile, and surrogates measures of insulin sensitivity (GIR, HOMA, QUICKI, FIRI, Belfiore, Bennett, Raynaud, McAuley index) based on fasting insulin levels were assessed in 233 non-diabetic middle aged subjects. Results: Cutoff values, determined as the lowest quartile of insulin sensitivity for fasting insulin, HOMA, IRI (1/QUICKI), FIRI and Belfiore's, Bennett's, Raynaud's and McAuley's insulin sensitivity indices were 10.49 mU/L, 2.1, 3.01, 2.32, and 0.03, 1.34, 3.81, 6.29, 5.82. Components of the metabolic syndrome showed moderate but significant correlations with the surrogate measures of insulin resistance (r = 0.22-0.56, p <0.05). HOMA-IR and McAuley indices were the best predictors of clustered cardiometabolic risk factors (AUC - 0.83, 0.81 and 0.82). The metabolic syndrome diagnosis performed well in identifying patients with reduced insulin sensitivity (McAuley 2: sensitivity - 0.78, specificity - 0.84). Conclusion: Fasting insulin derived insulin sensitivity indices may help the recognittion of insulin resistant states predicting cardiometabolic disorders. Actively looking for insulin resistance by these simple indices, or by diagnosing the metabolic syndrome, those at increased risk can be recognized
topic insulin resistance
metabolic syndrome
url https://doi.org/10.2478/amma-2013-0064
work_keys_str_mv AT katalincsep surrogatemeasuresofinsulinresistanceinmiddleagednondiabeticsubjects
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