Establishment and Validation of a Predictive Nomogram Model for Osteoporosis in Postmenopausal Women with Type 2 Diabetes Mellitus: A Retrospective Study
Retrospective study establishes a predictive nomogram for osteoporosis in postmenopausal women, indicating significant correlations with blood biomarkers.
Key Points
A predictive nomogram for osteoporosis was constructed, achieving a C-index of 0.842.
Logistic analysis identified age, BMI, SII, FT3, and CV as independent risk factors for osteoporosis in the study.
The study included 381 participants, with 147 classified in the osteoporosis group based on bone mineral density.
Positive correlations were found between age and SII, and negative ones between BMI and CV, specifically in women aged 60 and older.