Association Between TyG-BMI Index and Hyperuricemia in Adult Women

IF 2.7 Q3 ENDOCRINOLOGY & METABOLISM
Kelibinuer Mutailipu, Junwei Guo, Jiajing Yin, Yue Wang, Liesheng Lu, Xuyang Jia, Jie Zhang, Shen Qu, Haibing Chen, Le Bu
{"title":"Association Between TyG-BMI Index and Hyperuricemia in Adult Women","authors":"Kelibinuer Mutailipu,&nbsp;Junwei Guo,&nbsp;Jiajing Yin,&nbsp;Yue Wang,&nbsp;Liesheng Lu,&nbsp;Xuyang Jia,&nbsp;Jie Zhang,&nbsp;Shen Qu,&nbsp;Haibing Chen,&nbsp;Le Bu","doi":"10.1002/edm2.70028","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Purpose</h3>\n \n <p>This study aimed to explore the relationship between hyperuricemia (HUA), the triglyceride-glucose index (TyG) and its derivatives in adult women.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>A cross-sectional analysis was conducted on 1105 female patients from Shanghai Tenth People's Hospital. Participants were divided into HUA (<i>n</i> = 331) and non-HUA (<i>n</i> = 774) groups. Clinical and laboratory data were collected, and indices such as body mass index (BMI), TyG and TyG-BMI were calculated. Statistical analyses included univariate and multivariate logistic regression and receiver operating characteristic (ROC) curve analysis.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>The HUA group showed higher BMI, blood pressure and metabolic parameters. TyG, TyG-BMI and BMI were positively correlated with uric acid levels. ROC analysis revealed that TyG-BMI (AUC = 0.877) had better predictive power for HUA than TyG (AUC = 0.829) or BMI (AUC = 0.867). Multivariate analysis showed TyG-BMI and BMI as independent predictors, with women in the highest quartiles having a 3.111-fold and 2.779-fold higher risk for HUA, respectively.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>TyG-BMI is the most effective predictor of HUA in women, surpassing TyG and BMI alone. It offers a practical tool for early identification and intervention in women at risk of HUA.</p>\n </section>\n </div>","PeriodicalId":36522,"journal":{"name":"Endocrinology, Diabetes and Metabolism","volume":"8 2","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/edm2.70028","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Endocrinology, Diabetes and Metabolism","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/edm2.70028","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0

Abstract

Purpose

This study aimed to explore the relationship between hyperuricemia (HUA), the triglyceride-glucose index (TyG) and its derivatives in adult women.

Methods

A cross-sectional analysis was conducted on 1105 female patients from Shanghai Tenth People's Hospital. Participants were divided into HUA (n = 331) and non-HUA (n = 774) groups. Clinical and laboratory data were collected, and indices such as body mass index (BMI), TyG and TyG-BMI were calculated. Statistical analyses included univariate and multivariate logistic regression and receiver operating characteristic (ROC) curve analysis.

Results

The HUA group showed higher BMI, blood pressure and metabolic parameters. TyG, TyG-BMI and BMI were positively correlated with uric acid levels. ROC analysis revealed that TyG-BMI (AUC = 0.877) had better predictive power for HUA than TyG (AUC = 0.829) or BMI (AUC = 0.867). Multivariate analysis showed TyG-BMI and BMI as independent predictors, with women in the highest quartiles having a 3.111-fold and 2.779-fold higher risk for HUA, respectively.

Conclusion

TyG-BMI is the most effective predictor of HUA in women, surpassing TyG and BMI alone. It offers a practical tool for early identification and intervention in women at risk of HUA.

Abstract Image

求助全文
约1分钟内获得全文 求助全文
来源期刊
Endocrinology, Diabetes and Metabolism
Endocrinology, Diabetes and Metabolism Medicine-Endocrinology, Diabetes and Metabolism
CiteScore
5.00
自引率
0.00%
发文量
66
审稿时长
6 weeks
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信