{"title":"Triglyceride and glucose index for identifying abnormal insulin sensitivity in women with polycystic ovary syndrome.","authors":"Seeun Kwon, Aram Heo, Sungwook Chun","doi":"10.5468/ogs.23103","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>We aimed to evaluate whether triglyceride and glucose (TyG) indices are useful in identifying insulin sensitivity/resistance in women with polycystic ovary syndrome (PCOS).</p><p><strong>Methods: </strong>One hundred and seventy-two Korean women aged 18-35 years who were diagnosed with PCOS were included in this study. Fasting-state insulin sensitivity assessment indices (ISAIs) derived from a combination of fasting insulin and glucose levels were calculated for all study participants, and abnormal insulin sensitivity was defined as any of the evaluated ISAIs being out of the established normal range. Correlation analysis was conducted to assess the relationship between the TyG index and other clinical and biochemical parameters. Receiver operating characteristic (ROC) curve analysis was used to determine the optimal cutoff value of the TyG index for identifying abnormal insulin sensitivity, and unpaired t-tests were used to compare biochemical parameters between individuals with a TyG index below the cutoff and individuals with a TyG index above the cutoff value.</p><p><strong>Results: </strong>All clinical parameters, except age and other insulin resistance-related biochemical parameters, were significantly related to the TyG index. The ROC curve analysis revealed an optimal TyG cutoff value of 8.126 (sensitivity, 0.807; specificity, 0.683) for identifying abnormal insulin sensitivity. In the comparative analysis, all ISAIs and parameters derived from the lipid profiles differed significantly between the TyG groups.</p><p><strong>Conclusion: </strong>The TyG index is a feasible surrogate marker for predicting insulin sensitivity/resistance in women with PCOS.</p>","PeriodicalId":37602,"journal":{"name":"Obstetrics and Gynecology Science","volume":"66 4","pages":"307-315"},"PeriodicalIF":2.0000,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/4c/f2/ogs-23103.PMC10375216.pdf","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Obstetrics and Gynecology Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5468/ogs.23103","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"OBSTETRICS & GYNECOLOGY","Score":null,"Total":0}
引用次数: 2
Abstract
Objective: We aimed to evaluate whether triglyceride and glucose (TyG) indices are useful in identifying insulin sensitivity/resistance in women with polycystic ovary syndrome (PCOS).
Methods: One hundred and seventy-two Korean women aged 18-35 years who were diagnosed with PCOS were included in this study. Fasting-state insulin sensitivity assessment indices (ISAIs) derived from a combination of fasting insulin and glucose levels were calculated for all study participants, and abnormal insulin sensitivity was defined as any of the evaluated ISAIs being out of the established normal range. Correlation analysis was conducted to assess the relationship between the TyG index and other clinical and biochemical parameters. Receiver operating characteristic (ROC) curve analysis was used to determine the optimal cutoff value of the TyG index for identifying abnormal insulin sensitivity, and unpaired t-tests were used to compare biochemical parameters between individuals with a TyG index below the cutoff and individuals with a TyG index above the cutoff value.
Results: All clinical parameters, except age and other insulin resistance-related biochemical parameters, were significantly related to the TyG index. The ROC curve analysis revealed an optimal TyG cutoff value of 8.126 (sensitivity, 0.807; specificity, 0.683) for identifying abnormal insulin sensitivity. In the comparative analysis, all ISAIs and parameters derived from the lipid profiles differed significantly between the TyG groups.
Conclusion: The TyG index is a feasible surrogate marker for predicting insulin sensitivity/resistance in women with PCOS.
期刊介绍：
Obstetrics & Gynecology Science (NLM title: Obstet Gynecol Sci) is an international peer-review journal that published basic, translational, clinical research, and clinical practice guideline to promote women’s health and prevent obstetric and gynecologic disorders. The journal has an international editorial board and is published in English on the 15th day of every other month. Submitted manuscripts should not contain previously published material and should not be under consideration for publication elsewhere. The journal has been publishing articles since 1958. The aim of the journal is to publish original articles, reviews, case reports, short communications, letters to the editor, and video articles that have the potential to change the practices in women''s health care. The journal’s main focus is the diagnosis, treatment, prediction, and prevention of obstetric and gynecologic disorders. Because the life expectancy of Korean and Asian women is increasing, the journal''s editors are particularly interested in the health of elderly women in these population groups. The journal also publishes articles about reproductive biology, stem cell research, and artificial intelligence research for women; additionally, it provides insights into the physiology and mechanisms of obstetric and gynecologic diseases.
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