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Comparison of Surrogate Markers as Measures of Uncomplicated Insulin Resistance in Korean Adults

BACKGROUND: Metabolic syndrome (MS) is known to increase the risk of various cardiometabolic diseases and in-sulin resistance (IR) has known to have central role in the development of MS. Many surrogate indices of IR have been proposed and the detection of MS might be a suitable model for assessing...

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Autores principales: Kim, Tae Jong, Kim, Hye Jung, Kim, Young Bae, Lee, Jee Yon, Lee, Hye Sun, Hong, Jung Hwa, Lee, Ji Won
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Academy of Family Medicine 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4891322/
https://www.ncbi.nlm.nih.gov/pubmed/27274391
http://dx.doi.org/10.4082/kjfm.2016.37.3.188
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author Kim, Tae Jong
Kim, Hye Jung
Kim, Young Bae
Lee, Jee Yon
Lee, Hye Sun
Hong, Jung Hwa
Lee, Ji Won
author_facet Kim, Tae Jong
Kim, Hye Jung
Kim, Young Bae
Lee, Jee Yon
Lee, Hye Sun
Hong, Jung Hwa
Lee, Ji Won
author_sort Kim, Tae Jong
collection PubMed
description BACKGROUND: Metabolic syndrome (MS) is known to increase the risk of various cardiometabolic diseases and in-sulin resistance (IR) has known to have central role in the development of MS. Many surrogate indices of IR have been proposed and the detection of MS might be a suitable model for assessing the accuracy of surrogate indices. The aims of our study are to invest the most appropriate index by assessment of the diagnostic capacity of IR among each surrogate index and identifying cut-off values for discriminating uncomplicated MS in Korean adults. METHODS: A cross-sectional study was performed, assessing 294 Korean adults, 85 of whom were diagnosed with uncomplicated MS. The sensitivities and specificities of five surrogate IR indices were compared to discriminate MS from healthy subjects; these included fasting serum insulin, homeostasis model assessment–insulin resistance index, quantitative insulin sensitivity check index, McAuley index, and Disse index. Correlations between each index value were assessed using Pearson's and Spearman's correlation methods. RESULTS: The McAuley index showed the highest area under the curve (0.85), specificity (86.12%), accuracy (82.31%), positive predictive value (68.13%), and negative predictive value (88.67%) to distinguish MS, with a cut-off point of 5.3 defined. Correlation coefficients of the five indices showed that the McAuley index had the strongest correlation with IR. CONCLUSION: The McAuley index showed the best accuracy in the detection of MS as a surrogate marker of IR. To establish more effective and accurate standards of measuring IR, comprehensive and multi-scaled studies are required.
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spelling pubmed-48913222016-06-07 Comparison of Surrogate Markers as Measures of Uncomplicated Insulin Resistance in Korean Adults Kim, Tae Jong Kim, Hye Jung Kim, Young Bae Lee, Jee Yon Lee, Hye Sun Hong, Jung Hwa Lee, Ji Won Korean J Fam Med Original Article BACKGROUND: Metabolic syndrome (MS) is known to increase the risk of various cardiometabolic diseases and in-sulin resistance (IR) has known to have central role in the development of MS. Many surrogate indices of IR have been proposed and the detection of MS might be a suitable model for assessing the accuracy of surrogate indices. The aims of our study are to invest the most appropriate index by assessment of the diagnostic capacity of IR among each surrogate index and identifying cut-off values for discriminating uncomplicated MS in Korean adults. METHODS: A cross-sectional study was performed, assessing 294 Korean adults, 85 of whom were diagnosed with uncomplicated MS. The sensitivities and specificities of five surrogate IR indices were compared to discriminate MS from healthy subjects; these included fasting serum insulin, homeostasis model assessment–insulin resistance index, quantitative insulin sensitivity check index, McAuley index, and Disse index. Correlations between each index value were assessed using Pearson's and Spearman's correlation methods. RESULTS: The McAuley index showed the highest area under the curve (0.85), specificity (86.12%), accuracy (82.31%), positive predictive value (68.13%), and negative predictive value (88.67%) to distinguish MS, with a cut-off point of 5.3 defined. Correlation coefficients of the five indices showed that the McAuley index had the strongest correlation with IR. CONCLUSION: The McAuley index showed the best accuracy in the detection of MS as a surrogate marker of IR. To establish more effective and accurate standards of measuring IR, comprehensive and multi-scaled studies are required. The Korean Academy of Family Medicine 2016-05 2016-05-26 /pmc/articles/PMC4891322/ /pubmed/27274391 http://dx.doi.org/10.4082/kjfm.2016.37.3.188 Text en Copyright © 2016 The Korean Academy of Family Medicine http://creativecommons.org/licenses/by-nc/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Kim, Tae Jong
Kim, Hye Jung
Kim, Young Bae
Lee, Jee Yon
Lee, Hye Sun
Hong, Jung Hwa
Lee, Ji Won
Comparison of Surrogate Markers as Measures of Uncomplicated Insulin Resistance in Korean Adults
title Comparison of Surrogate Markers as Measures of Uncomplicated Insulin Resistance in Korean Adults
title_full Comparison of Surrogate Markers as Measures of Uncomplicated Insulin Resistance in Korean Adults
title_fullStr Comparison of Surrogate Markers as Measures of Uncomplicated Insulin Resistance in Korean Adults
title_full_unstemmed Comparison of Surrogate Markers as Measures of Uncomplicated Insulin Resistance in Korean Adults
title_short Comparison of Surrogate Markers as Measures of Uncomplicated Insulin Resistance in Korean Adults
title_sort comparison of surrogate markers as measures of uncomplicated insulin resistance in korean adults
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4891322/
https://www.ncbi.nlm.nih.gov/pubmed/27274391
http://dx.doi.org/10.4082/kjfm.2016.37.3.188
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