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Triglycerides to High-Density Lipoprotein Cholesterol Ratio Can Predict Impaired Glucose Tolerance in Young Women with Polycystic Ovary Syndrome
PURPOSE: The triglycerides to high-density lipoprotein cholesterol (TG/HDL-C) ratio could be related to insulin resistance (IR). We previously reported that Korean women with polycystic ovary syndrome (PCOS) had a high prevalence of impaired glucose tolerance (IGT). We aimed to determine the cutoff...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Yonsei University College of Medicine
2016
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5011272/ https://www.ncbi.nlm.nih.gov/pubmed/27593868 http://dx.doi.org/10.3349/ymj.2016.57.6.1404 |
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author | Song, Do Kyeong Lee, Hyejin Sung, Yeon-Ah Oh, Jee-Young |
author_facet | Song, Do Kyeong Lee, Hyejin Sung, Yeon-Ah Oh, Jee-Young |
author_sort | Song, Do Kyeong |
collection | PubMed |
description | PURPOSE: The triglycerides to high-density lipoprotein cholesterol (TG/HDL-C) ratio could be related to insulin resistance (IR). We previously reported that Korean women with polycystic ovary syndrome (PCOS) had a high prevalence of impaired glucose tolerance (IGT). We aimed to determine the cutoff value of the TG/HDL-C ratio for predicting IR and to examine whether the TG/HDL-C ratio is useful for identifying individuals at risk of IGT in young Korean women with PCOS. MATERIALS AND METHODS: We recruited 450 women with PCOS (24±5 yrs) and performed a 75-g oral glucose tolerance test (OGTT). IR was assessed by a homeostasis model assessment index over that of the 95th percentile of regular-cycling women who served as the controls (n=450, 24±4 yrs). RESULTS: The cutoff value of the TG/HDL-C ratio for predicting IR was 2.5 in women with PCOS. Among the women with PCOS who had normal fasting glucose (NFG), the prevalence of IGT was significantly higher in the women with PCOS who had a high TG/HDL-C ratio compared with those with a low TG/HDL-C ratio (15.6% vs. 5.6%, p<0.05). CONCLUSION: The cutoff value of the TG/HDL-C ratio for predicting IR was 2.5 in young Korean women with PCOS, and women with NFG and a high TG/HDL-C ratio had a higher prevalence of IGT. Therefore, Korean women with PCOS with a TG/HDL-C ratio >2.5 are recommended to be administered an OGTT to detect IGT even if they have NFG. |
format | Online Article Text |
id | pubmed-5011272 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Yonsei University College of Medicine |
record_format | MEDLINE/PubMed |
spelling | pubmed-50112722016-11-01 Triglycerides to High-Density Lipoprotein Cholesterol Ratio Can Predict Impaired Glucose Tolerance in Young Women with Polycystic Ovary Syndrome Song, Do Kyeong Lee, Hyejin Sung, Yeon-Ah Oh, Jee-Young Yonsei Med J Original Article PURPOSE: The triglycerides to high-density lipoprotein cholesterol (TG/HDL-C) ratio could be related to insulin resistance (IR). We previously reported that Korean women with polycystic ovary syndrome (PCOS) had a high prevalence of impaired glucose tolerance (IGT). We aimed to determine the cutoff value of the TG/HDL-C ratio for predicting IR and to examine whether the TG/HDL-C ratio is useful for identifying individuals at risk of IGT in young Korean women with PCOS. MATERIALS AND METHODS: We recruited 450 women with PCOS (24±5 yrs) and performed a 75-g oral glucose tolerance test (OGTT). IR was assessed by a homeostasis model assessment index over that of the 95th percentile of regular-cycling women who served as the controls (n=450, 24±4 yrs). RESULTS: The cutoff value of the TG/HDL-C ratio for predicting IR was 2.5 in women with PCOS. Among the women with PCOS who had normal fasting glucose (NFG), the prevalence of IGT was significantly higher in the women with PCOS who had a high TG/HDL-C ratio compared with those with a low TG/HDL-C ratio (15.6% vs. 5.6%, p<0.05). CONCLUSION: The cutoff value of the TG/HDL-C ratio for predicting IR was 2.5 in young Korean women with PCOS, and women with NFG and a high TG/HDL-C ratio had a higher prevalence of IGT. Therefore, Korean women with PCOS with a TG/HDL-C ratio >2.5 are recommended to be administered an OGTT to detect IGT even if they have NFG. Yonsei University College of Medicine 2016-11-01 2016-08-30 /pmc/articles/PMC5011272/ /pubmed/27593868 http://dx.doi.org/10.3349/ymj.2016.57.6.1404 Text en © Copyright: Yonsei University College of Medicine 2016 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 non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Song, Do Kyeong Lee, Hyejin Sung, Yeon-Ah Oh, Jee-Young Triglycerides to High-Density Lipoprotein Cholesterol Ratio Can Predict Impaired Glucose Tolerance in Young Women with Polycystic Ovary Syndrome |
title | Triglycerides to High-Density Lipoprotein Cholesterol Ratio Can Predict Impaired Glucose Tolerance in Young Women with Polycystic Ovary Syndrome |
title_full | Triglycerides to High-Density Lipoprotein Cholesterol Ratio Can Predict Impaired Glucose Tolerance in Young Women with Polycystic Ovary Syndrome |
title_fullStr | Triglycerides to High-Density Lipoprotein Cholesterol Ratio Can Predict Impaired Glucose Tolerance in Young Women with Polycystic Ovary Syndrome |
title_full_unstemmed | Triglycerides to High-Density Lipoprotein Cholesterol Ratio Can Predict Impaired Glucose Tolerance in Young Women with Polycystic Ovary Syndrome |
title_short | Triglycerides to High-Density Lipoprotein Cholesterol Ratio Can Predict Impaired Glucose Tolerance in Young Women with Polycystic Ovary Syndrome |
title_sort | triglycerides to high-density lipoprotein cholesterol ratio can predict impaired glucose tolerance in young women with polycystic ovary syndrome |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5011272/ https://www.ncbi.nlm.nih.gov/pubmed/27593868 http://dx.doi.org/10.3349/ymj.2016.57.6.1404 |
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