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ABSTRACT: Purpose
Osteoporosis significantly increases fracture risk and mortality, yet robust tools for predicting long-term mortality in this population are lacking.This study aimed to develop and validate a nomogram for predicting 5-year all-cause mortality among patients with osteoporosis.Methods
A retrospective cohort study was conducted using data from 2,165 osteoporosis patients sourced from the NHANES database (2007-2023; training set) and 304 patients from Dandong Central Hospital (2017-2024; validation set). Potential risk factors were analyzed through LASSO regression, followed by multivariate logistic regression, to identify independent predictors.A nomogram was constructed employing significant predictors. Finally, the C-index, ROC curve, calibration curve, and decision
SUBMITTER: Li Y
PROVIDER: S-EPMC12530536 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature