甘油三酯-葡萄糖指数对不同代谢性肥胖表型个体代谢性相关脂肪肝疾病的预测价值

IF 2.8 3区 医学 Q3 ENDOCRINOLOGY & METABOLISM Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy Pub Date : 2025-01-15 eCollection Date: 2025-01-01 DOI:10.2147/DMSO.S500042
Dan Lv, Zepu Wang, Huanxin Liu, Cuiqiao Meng
{"title":"甘油三酯-葡萄糖指数对不同代谢性肥胖表型个体代谢性相关脂肪肝疾病的预测价值","authors":"Dan Lv, Zepu Wang, Huanxin Liu, Cuiqiao Meng","doi":"10.2147/DMSO.S500042","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To investigate the relationship between triglyceride-glucose (TyG) index and metabolic-associated fatty liver disease (MAFLD), and to evaluate the predictive value of the TyG index for MAFLD in individuals with different metabolic obese phenotypes. The aim is to provide a novel approach for the screening and early diagnosis of MAFLD in the general population.</p><p><strong>Methods: </strong>A total of 2614 subjects were recruited and classified into four categories of metabolic obese phenotypes based on their body mass index (BMI) and metabolic status. Basic data and general blood indices were collected and analyzed. The TyG index was calculated, and an abdominal ultrasound was performed to detect the presence of fatty liver disease. The aforementioned data were then subjected to statistical analysis.</p><p><strong>Results: </strong>The TyG index was significantly higher in the MAFLD group than in the non-MAFLD group (P < 0.001). Furthermore, the TyG index in the metabolically unhealthy and obese (MUO) group and the metabolically unhealthy normal weight (MUNW) group was significantly higher than that in the metabolically healthy and obese (MHO) group and the metabolically healthy normal weight (MHNW) group (P < 0.001). The area under the curve (AUC) of the TyG index for predicting MAFLD in the MHNW, MUNW, MHO, and MUO groups was 0.765, 0.766, 0.659, and 0.650, respectively. The critical values were 8.575, 9.075, 8.795, and 9.165, respectively.</p><p><strong>Conclusion: </strong>The TyG index is a reliable predictor of MAFLD risk, exhibiting a higher predictive ability for the risk of developing MAFLD in individuals with normal BMI compared to those with abnormal BMI. The findings of this study lend support for the use of the TyG index as a screening tool and for guiding subsequent management of patients with MAFLD.</p>","PeriodicalId":11116,"journal":{"name":"Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy","volume":"18 ","pages":"125-133"},"PeriodicalIF":2.8000,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11742748/pdf/","citationCount":"0","resultStr":"{\"title\":\"Predictive Value of the Triglyceride-Glucose Index for Metabolic-Associated Fatty Liver Disease in Individuals with Different Metabolic Obese Phenotypes.\",\"authors\":\"Dan Lv, Zepu Wang, Huanxin Liu, Cuiqiao Meng\",\"doi\":\"10.2147/DMSO.S500042\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>To investigate the relationship between triglyceride-glucose (TyG) index and metabolic-associated fatty liver disease (MAFLD), and to evaluate the predictive value of the TyG index for MAFLD in individuals with different metabolic obese phenotypes. The aim is to provide a novel approach for the screening and early diagnosis of MAFLD in the general population.</p><p><strong>Methods: </strong>A total of 2614 subjects were recruited and classified into four categories of metabolic obese phenotypes based on their body mass index (BMI) and metabolic status. Basic data and general blood indices were collected and analyzed. The TyG index was calculated, and an abdominal ultrasound was performed to detect the presence of fatty liver disease. The aforementioned data were then subjected to statistical analysis.</p><p><strong>Results: </strong>The TyG index was significantly higher in the MAFLD group than in the non-MAFLD group (P < 0.001). Furthermore, the TyG index in the metabolically unhealthy and obese (MUO) group and the metabolically unhealthy normal weight (MUNW) group was significantly higher than that in the metabolically healthy and obese (MHO) group and the metabolically healthy normal weight (MHNW) group (P < 0.001). The area under the curve (AUC) of the TyG index for predicting MAFLD in the MHNW, MUNW, MHO, and MUO groups was 0.765, 0.766, 0.659, and 0.650, respectively. The critical values were 8.575, 9.075, 8.795, and 9.165, respectively.</p><p><strong>Conclusion: </strong>The TyG index is a reliable predictor of MAFLD risk, exhibiting a higher predictive ability for the risk of developing MAFLD in individuals with normal BMI compared to those with abnormal BMI. The findings of this study lend support for the use of the TyG index as a screening tool and for guiding subsequent management of patients with MAFLD.</p>\",\"PeriodicalId\":11116,\"journal\":{\"name\":\"Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy\",\"volume\":\"18 \",\"pages\":\"125-133\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2025-01-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11742748/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2147/DMSO.S500042\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q3\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/DMSO.S500042","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0

摘要

目的:探讨甘油三酯-葡萄糖(TyG)指数与代谢性脂肪性肝病(MAFLD)的关系,评价TyG指数在不同代谢性肥胖表型个体中对MAFLD的预测价值。目的是为普通人群中MAFLD的筛查和早期诊断提供一种新的方法。方法:共招募2614名受试者,根据体重指数(BMI)和代谢状态将其分为4类代谢性肥胖表型。收集基本资料和一般血液指标并进行分析。计算TyG指数,并进行腹部超声检查是否存在脂肪肝。然后对上述数据进行统计分析。结果:MAFLD组TyG指数显著高于非MAFLD组(P < 0.001)。代谢不健康与肥胖(MUO)组和代谢不健康正常体重(MUNW)组的TyG指数显著高于代谢健康与肥胖(MHO)组和代谢健康正常体重(MHNW)组(P < 0.001)。MHNW组、MUNW组、MHO组和MUO组预测mald的TyG指数曲线下面积(AUC)分别为0.765、0.766、0.659和0.650。临界值分别为8.575、9.075、8.795、9.165。结论:TyG指数是一个可靠的预测MAFLD风险的指标,与BMI异常的个体相比,BMI正常的个体表现出更高的预测MAFLD风险的能力。本研究结果支持使用TyG指数作为筛选工具,并指导MAFLD患者的后续管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Predictive Value of the Triglyceride-Glucose Index for Metabolic-Associated Fatty Liver Disease in Individuals with Different Metabolic Obese Phenotypes.

Objective: To investigate the relationship between triglyceride-glucose (TyG) index and metabolic-associated fatty liver disease (MAFLD), and to evaluate the predictive value of the TyG index for MAFLD in individuals with different metabolic obese phenotypes. The aim is to provide a novel approach for the screening and early diagnosis of MAFLD in the general population.

Methods: A total of 2614 subjects were recruited and classified into four categories of metabolic obese phenotypes based on their body mass index (BMI) and metabolic status. Basic data and general blood indices were collected and analyzed. The TyG index was calculated, and an abdominal ultrasound was performed to detect the presence of fatty liver disease. The aforementioned data were then subjected to statistical analysis.

Results: The TyG index was significantly higher in the MAFLD group than in the non-MAFLD group (P < 0.001). Furthermore, the TyG index in the metabolically unhealthy and obese (MUO) group and the metabolically unhealthy normal weight (MUNW) group was significantly higher than that in the metabolically healthy and obese (MHO) group and the metabolically healthy normal weight (MHNW) group (P < 0.001). The area under the curve (AUC) of the TyG index for predicting MAFLD in the MHNW, MUNW, MHO, and MUO groups was 0.765, 0.766, 0.659, and 0.650, respectively. The critical values were 8.575, 9.075, 8.795, and 9.165, respectively.

Conclusion: The TyG index is a reliable predictor of MAFLD risk, exhibiting a higher predictive ability for the risk of developing MAFLD in individuals with normal BMI compared to those with abnormal BMI. The findings of this study lend support for the use of the TyG index as a screening tool and for guiding subsequent management of patients with MAFLD.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy Pharmacology, Toxicology and Pharmaceutics-Pharmacology
CiteScore
5.90
自引率
6.10%
发文量
431
审稿时长
16 weeks
期刊介绍: An international, peer-reviewed, open access, online journal. The journal is committed to the rapid publication of the latest laboratory and clinical findings in the fields of diabetes, metabolic syndrome and obesity research. Original research, review, case reports, hypothesis formation, expert opinion and commentaries are all considered for publication.
期刊最新文献
Diabetic Ketoacidosis in Klinefelter Syndrome Sans Malignancy with Unusually Elevated Levels of CEA: A Case Report. PEDF Overexpression Ameliorates Cardiac Lipotoxicity in Diabetic Cardiomyopathy via Regulation of Energy Metabolism. Transcript Changes of Placental Tissue in Gestational Diabetes Mellitus Based on Transcriptome Sequencing. The Association Between Adiponectin Gene Polymorphism (rs1501299) and Metabolic Syndrome. Role of Psychological Distress in the Assessment of Chronic Illness Care and Self-Management Behaviors of Elderly Patients with T2DM Chronic Complications.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1