Development and validation of a nomogram clinical prediction model for osteoporosis in elderly malnourished patients: A diagnostic accuracy study.

ABSTRACT: The aim of this study was to establish a nomogram model for predicting the incidence of osteoporosis (OP) in elderly malnourished patients and to verify its predictive effect. We conducted a retrospective analysis of elderly malnourished patients hospitalized at the Affiliated Hospital of Chengdu University of Traditional Chinese Medicine between December 2023 and June 2024. The cohort was randomly divided into a training set and a validation set in a 7:3 ratio. Optimal factors were identified using the least absolute shrinkage and selection operator (LASSO) regression, which were then incorporated into a multifactorial logistic regression model to ascertain independent predictors. The Hosmer-Lemeshow test, area under the curve (AUC), calibration curve, decision curve analysis, and clinica

SUBMITTER: Chen J 

PROVIDER: S-EPMC12582797 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature