Developing and validating a nomogram prediction model for osteoporosis risk in the UK biobank: a national prospective cohort.

ABSTRACT:

Background

Osteoporosis is a prevalent bone disease that increases frailty. Developing a nomogram prediction model to predict osteoporosis risk at multiple time points using bone mineral densities, behavioral habits, and clinical risk factors would be essential to identify individual risk and guide prevention.

Methods

The study population from the UK Biobank was followed from 2014 to December 31st, 2022. The study outcome was identified as the first occurrence of osteoporosis in the UK Biobank during the follow-up period. After rebalancing with the synthetic minority over-sampling technique, a nomogram prediction model was developed using a LASSO Cox regression. Model discrimination between different risk levels was visualised with Kaplan-Meier curves, and model performance

SUBMITTER: Tong X 

PROVIDER: S-EPMC11970002 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature