Value of serum uric acid in a risk prediction model for postmenopausal osteoporosis.

ABSTRACT:

Objective

To investigate the potential role of serum uric acid (UA) in risk stratification for postmenopausal osteoporosis (PMOP) and to establish an accessible risk prediction model that can aid in early screening and diagnosis.

Methods

We retrospectively enrolled 295 postmenopausal women who underwent dual-energy X-ray absorptiometry (DXA) at Zhuhai Hospital affiliated with Jinan University from July 2021 to July 2023. Participants were divided into a PMOP group (T-score < -2.5; n = 125) and a control group (T-score ≥ -2.5; n = 170). Clinical and laboratory data were collected, including markers of inflammation, renal function, and uric acid levels. Univariable and multivariable logistic regression analyses identified independent risk factors for PMOP. A nomogram was const

SUBMITTER: Li B 

PROVIDER: S-EPMC12414051 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature