Value of triglyceride glucose-body mass index in predicting nonalcoholic fatty liver disease in individuals with type 2 diabetes mellitus
BackgroundThere is limited data on the association between TyG-BMI and NAFLD in patients with Type 2 Diabetes Mellitus (T2DM). The magnitude of risk prediction and predictive efficacy of TyG-BMI for T2DM with NAFLD remains unclear.ObjectiveTo examine the association of TyG-BMI with NAFLD in T2DM pat...
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Endocrinology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fendo.2024.1425024/full |
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| author | Xiaoyi Qian Wenwen Wu Boyang Chen Simin Zhang Chunmei Xiao Long Chen Jun Chen Jun Chen Lingli Ke Meian He Xiulou Li Xiulou Li Xiulou Li |
| author_facet | Xiaoyi Qian Wenwen Wu Boyang Chen Simin Zhang Chunmei Xiao Long Chen Jun Chen Jun Chen Lingli Ke Meian He Xiulou Li Xiulou Li Xiulou Li |
| author_sort | Xiaoyi Qian |
| collection | DOAJ |
| description | BackgroundThere is limited data on the association between TyG-BMI and NAFLD in patients with Type 2 Diabetes Mellitus (T2DM). The magnitude of risk prediction and predictive efficacy of TyG-BMI for T2DM with NAFLD remains unclear.ObjectiveTo examine the association of TyG-BMI with NAFLD in T2DM patients and assess the effectiveness of screening using the TyG-BMI index.MethodsWe conducted a retrospective analysis of clinical data from 602 T2DM patients at an enterprise health lodge from September 2021 to November 2022. Patients were categorized into two groups: T2DM alone (n=250) and T2DM with NAFLD (n=352). The Mann-Whitney U test was used for comparing non-normally distributed continuous data between groups, while the Chi-square test was used for categorical data. Logistic regression analysis was performed to evaluate the effect of BMI, TyG index, and TyG-BMI index on NAFLD. The ROC curve was used to assess the predictive efficacy of the TyG-BMI index for NAFLD in T2DM patients.ResultsBMI predicted the development of NAFLD in T2DM patients with an area under the receiver operating characteristic (ROC) curve of 0.792 (95% CI 0.757-0.828), and the optimal cutoff value was 25.22, with 72.2% sensitivity and 71.6% specificity; The area under the receiver operating characteristic (ROC) curve of the TyG index to predict the development of NAFLD in patients with T2DM was 0.755 (95% CI 0.716-0.794), and the optimal cutoff value was 8. 945, with a sensitivity of 80.1% and a specificity of 59.2%; The area under the receiver operating characteristic (ROC) curve of TyG-BMI index to predict the development of NAFLD in T2DM patients was 0.852, (95% CI 0.822-0.882), and the optimal cutoff value was 227.385, with a sensitivity and specificity of 80.1% and 59.2%, respectively.ConclusionsThe TyG-BMI index is a significant predictor of comorbid NAFLD in T2DM patients and provides better screening performance than BMI alone. The TyG-BMI index shows promise as an early screening tool for NAFLD in T2DM patients. |
| format | Article |
| id | doaj-art-14de380124704b01a6cbdceb68976162 |
| institution | Kabale University |
| issn | 1664-2392 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Endocrinology |
| spelling | doaj-art-14de380124704b01a6cbdceb689761622025-01-20T05:23:53ZengFrontiers Media S.A.Frontiers in Endocrinology1664-23922025-01-011510.3389/fendo.2024.14250241425024Value of triglyceride glucose-body mass index in predicting nonalcoholic fatty liver disease in individuals with type 2 diabetes mellitusXiaoyi Qian0Wenwen Wu1Boyang Chen2Simin Zhang3Chunmei Xiao4Long Chen5Jun Chen6Jun Chen7Lingli Ke8Meian He9Xiulou Li10Xiulou Li11Xiulou Li12Department of Public Health, Hubei University of Medicine, Shiyan, Hubei, ChinaDepartment of Public Health, Hubei University of Medicine, Shiyan, Hubei, ChinaDepartment of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, ChinaDepartment of Public Health, Hubei University of Medicine, Shiyan, Hubei, ChinaDepartment of Health Examination Center, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan, Hubei, ChinaDepartment of Health Examination Center, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan, Hubei, ChinaDepartment of Public Health, Hubei University of Medicine, Shiyan, Hubei, ChinaDepartment of Health Examination Center, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan, Hubei, ChinaDepartment of Health Examination Center, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan, Hubei, ChinaDepartment of Occupational and Environmental Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, ChinaDepartment of Public Health, Hubei University of Medicine, Shiyan, Hubei, ChinaDepartment of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, ChinaDepartment of Health Examination Center, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan, Hubei, ChinaBackgroundThere is limited data on the association between TyG-BMI and NAFLD in patients with Type 2 Diabetes Mellitus (T2DM). The magnitude of risk prediction and predictive efficacy of TyG-BMI for T2DM with NAFLD remains unclear.ObjectiveTo examine the association of TyG-BMI with NAFLD in T2DM patients and assess the effectiveness of screening using the TyG-BMI index.MethodsWe conducted a retrospective analysis of clinical data from 602 T2DM patients at an enterprise health lodge from September 2021 to November 2022. Patients were categorized into two groups: T2DM alone (n=250) and T2DM with NAFLD (n=352). The Mann-Whitney U test was used for comparing non-normally distributed continuous data between groups, while the Chi-square test was used for categorical data. Logistic regression analysis was performed to evaluate the effect of BMI, TyG index, and TyG-BMI index on NAFLD. The ROC curve was used to assess the predictive efficacy of the TyG-BMI index for NAFLD in T2DM patients.ResultsBMI predicted the development of NAFLD in T2DM patients with an area under the receiver operating characteristic (ROC) curve of 0.792 (95% CI 0.757-0.828), and the optimal cutoff value was 25.22, with 72.2% sensitivity and 71.6% specificity; The area under the receiver operating characteristic (ROC) curve of the TyG index to predict the development of NAFLD in patients with T2DM was 0.755 (95% CI 0.716-0.794), and the optimal cutoff value was 8. 945, with a sensitivity of 80.1% and a specificity of 59.2%; The area under the receiver operating characteristic (ROC) curve of TyG-BMI index to predict the development of NAFLD in T2DM patients was 0.852, (95% CI 0.822-0.882), and the optimal cutoff value was 227.385, with a sensitivity and specificity of 80.1% and 59.2%, respectively.ConclusionsThe TyG-BMI index is a significant predictor of comorbid NAFLD in T2DM patients and provides better screening performance than BMI alone. The TyG-BMI index shows promise as an early screening tool for NAFLD in T2DM patients.https://www.frontiersin.org/articles/10.3389/fendo.2024.1425024/fulltype 2 diabetes mellitusbody mass indextriglyceride glucose body mass indexnonalcoholic fatty liver diseasereceiver operating characteristic curve |
| spellingShingle | Xiaoyi Qian Wenwen Wu Boyang Chen Simin Zhang Chunmei Xiao Long Chen Jun Chen Jun Chen Lingli Ke Meian He Xiulou Li Xiulou Li Xiulou Li Value of triglyceride glucose-body mass index in predicting nonalcoholic fatty liver disease in individuals with type 2 diabetes mellitus Frontiers in Endocrinology type 2 diabetes mellitus body mass index triglyceride glucose body mass index nonalcoholic fatty liver disease receiver operating characteristic curve |
| title | Value of triglyceride glucose-body mass index in predicting nonalcoholic fatty liver disease in individuals with type 2 diabetes mellitus |
| title_full | Value of triglyceride glucose-body mass index in predicting nonalcoholic fatty liver disease in individuals with type 2 diabetes mellitus |
| title_fullStr | Value of triglyceride glucose-body mass index in predicting nonalcoholic fatty liver disease in individuals with type 2 diabetes mellitus |
| title_full_unstemmed | Value of triglyceride glucose-body mass index in predicting nonalcoholic fatty liver disease in individuals with type 2 diabetes mellitus |
| title_short | Value of triglyceride glucose-body mass index in predicting nonalcoholic fatty liver disease in individuals with type 2 diabetes mellitus |
| title_sort | value of triglyceride glucose body mass index in predicting nonalcoholic fatty liver disease in individuals with type 2 diabetes mellitus |
| topic | type 2 diabetes mellitus body mass index triglyceride glucose body mass index nonalcoholic fatty liver disease receiver operating characteristic curve |
| url | https://www.frontiersin.org/articles/10.3389/fendo.2024.1425024/full |
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