Yusuf Cokunlu, Kamile Yucel, Fadime Sımsek, Ikbal Inanlı
{"title":"用甘油三酯葡萄糖指数(TyG)、甘油三酯葡萄糖-体重指数(TyG- bmi)和胰岛素抵抗代谢评分指数(METS-IR)评估双相情感障碍不同阶段的胰岛素抵抗","authors":"Yusuf Cokunlu, Kamile Yucel, Fadime Sımsek, Ikbal Inanlı","doi":"10.47626/1516-4446-2025-4179","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>The aim of this study was to determine whether there are differences in the parameters Triglyceride Glucose Index (TyG), Triglyceride Glucose-Body Mass Index (TyG-BMI) and Metabolic Score Index for Insulin Resistance (METS-IR) between the groups of patients diagnosed with Bipolar disorder (BD) in euthymic, manic and depressive states and healthy controls.</p><p><strong>Methods: </strong>A total of 238 patients diagnosed with BD, and 90 healthy controls were included in the study.</p><p><strong>Results: </strong>TyG-BMI was higher in depressed state BD patients than in manic state BD patients. The METS-IR was significantly higher in depressed BD patients than in healthy controls. TyG-BMI was a statistically significant predictor for euthymic and depressed states of BD. In addition, the METS-IR was a statistically significant predictor for the euthymic state BD, depressed state BD and whole BD patient group. In the ROC analysis, we obtained the highest AUC values in the parameters TyG-BMI and METS-IR to discriminate the patient groups from healthy controls.</p><p><strong>Conclusion: </strong>Our results are noteworthy as the first study to provide evidence that elevated levels of METS-IR and TyG-BMI may be an indicator of IR in BD patients and can be used to differentiate BD patients from healthy controls. However, there is a need for confirmation of these results in larger studies before definitive conclusions are possible.</p>","PeriodicalId":520767,"journal":{"name":"Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999)","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessment of Insulin Resistance in Different Phases of Bipolar Disorder with Triglyceride Glucose Index (TyG), Triglyceride Glucose-Body Mass Index (TyG-BMI) and Metabolic Score Index for Insulin Resistance (METS-IR).\",\"authors\":\"Yusuf Cokunlu, Kamile Yucel, Fadime Sımsek, Ikbal Inanlı\",\"doi\":\"10.47626/1516-4446-2025-4179\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>The aim of this study was to determine whether there are differences in the parameters Triglyceride Glucose Index (TyG), Triglyceride Glucose-Body Mass Index (TyG-BMI) and Metabolic Score Index for Insulin Resistance (METS-IR) between the groups of patients diagnosed with Bipolar disorder (BD) in euthymic, manic and depressive states and healthy controls.</p><p><strong>Methods: </strong>A total of 238 patients diagnosed with BD, and 90 healthy controls were included in the study.</p><p><strong>Results: </strong>TyG-BMI was higher in depressed state BD patients than in manic state BD patients. The METS-IR was significantly higher in depressed BD patients than in healthy controls. TyG-BMI was a statistically significant predictor for euthymic and depressed states of BD. In addition, the METS-IR was a statistically significant predictor for the euthymic state BD, depressed state BD and whole BD patient group. In the ROC analysis, we obtained the highest AUC values in the parameters TyG-BMI and METS-IR to discriminate the patient groups from healthy controls.</p><p><strong>Conclusion: </strong>Our results are noteworthy as the first study to provide evidence that elevated levels of METS-IR and TyG-BMI may be an indicator of IR in BD patients and can be used to differentiate BD patients from healthy controls. However, there is a need for confirmation of these results in larger studies before definitive conclusions are possible.</p>\",\"PeriodicalId\":520767,\"journal\":{\"name\":\"Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999)\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-06-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.47626/1516-4446-2025-4179\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47626/1516-4446-2025-4179","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Assessment of Insulin Resistance in Different Phases of Bipolar Disorder with Triglyceride Glucose Index (TyG), Triglyceride Glucose-Body Mass Index (TyG-BMI) and Metabolic Score Index for Insulin Resistance (METS-IR).
Objective: The aim of this study was to determine whether there are differences in the parameters Triglyceride Glucose Index (TyG), Triglyceride Glucose-Body Mass Index (TyG-BMI) and Metabolic Score Index for Insulin Resistance (METS-IR) between the groups of patients diagnosed with Bipolar disorder (BD) in euthymic, manic and depressive states and healthy controls.
Methods: A total of 238 patients diagnosed with BD, and 90 healthy controls were included in the study.
Results: TyG-BMI was higher in depressed state BD patients than in manic state BD patients. The METS-IR was significantly higher in depressed BD patients than in healthy controls. TyG-BMI was a statistically significant predictor for euthymic and depressed states of BD. In addition, the METS-IR was a statistically significant predictor for the euthymic state BD, depressed state BD and whole BD patient group. In the ROC analysis, we obtained the highest AUC values in the parameters TyG-BMI and METS-IR to discriminate the patient groups from healthy controls.
Conclusion: Our results are noteworthy as the first study to provide evidence that elevated levels of METS-IR and TyG-BMI may be an indicator of IR in BD patients and can be used to differentiate BD patients from healthy controls. However, there is a need for confirmation of these results in larger studies before definitive conclusions are possible.