Association Between <scp>TyG</scp>‐<scp>BMI</scp> Index and Hyperuricemia in Adult Women
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.
Authors
- Kelibinuer Mutailipu (ORCID: https://orcid.org/0009-0006-4047-6515)
- Liesheng Lu
- Shen Qu (ORCID: https://orcid.org/0000-0003-0811-7070)
- Le Bu (ORCID: https://orcid.org/0000-0002-7598-6383)
- Junwei Guo (ORCID: https://orcid.org/0000-0002-4724-9810)
- Jiajing Yin (ORCID: https://orcid.org/0000-0002-5376-3402)
- Xuyang Jia (ORCID: https://orcid.org/0000-0003-4688-6778)
- Yue Wang (ORCID: https://orcid.org/0000-0002-2818-9787)
- Jie Zhang (ORCID: https://orcid.org/0000-0002-4780-8889)
- Haibing Chen (ORCID: https://orcid.org/0000-0001-5571-4025)
Institutions
- Tongji University (CN)
- Shanghai Tenth People's Hospital (CN)
Publication Details
- Journal
- Endocrinology Diabetes & Metabolism
- Published
- 2025-02-03
- DOI
- https://doi.org/10.1002/edm2.70028
- Citations
- 3
- Primary Topic
- Gout, Hyperuricemia, Uric Acid
- Type
- article
- Field-Weighted Citation Impact
- 4.29
Funders
- National Key Research and Development Program of China