Development and Validation of a Nomogram for Predicting Hyperuricemia in Perimenopausal Women
Our study identified several independent risk factors for HUA in perimenopausal women and developed a prediction mode, which might be used to detect the individual conditions and implement the preventive interventions.
Authors
- Xuehan Liu (ORCID: https://orcid.org/0000-0001-6195-5837)
- Haiyan Gao (ORCID: https://orcid.org/0000-0002-9878-4442)
- Chun-Mei Yang
- Yuting Li (ORCID: https://orcid.org/0000-0003-4407-8662)
- Xiaojing Li (ORCID: https://orcid.org/0000-0002-2609-0572)
- Yufei Liu (ORCID: https://orcid.org/0000-0002-7570-6978)
- Tian‐Ping Zhang (ORCID: https://orcid.org/0000-0002-9411-7132)
Institutions
- University of Science and Technology of China (CN)
- Bengbu Medical College (CN)
Publication Details
- Journal
- International Journal of General Medicine
- Published
- 2025-09-01
- DOI
- https://doi.org/10.2147/ijgm.s538751
- Primary Topic
- Gout, Hyperuricemia, Uric Acid
- Type
- article
- Field-Weighted Citation Impact
- 0.00