Development and validation of a prognostic nomogram model for severe osteomyelitis patients.

ABSTRACT: After severe infection in osteomyelitis patients in the Intensive Care Unit (ICU), there's a higher risk of mortality. However, limited research exists on predicting prognosis. Develop a predictive model for 1-year mortality risk in ICU-admitted osteomyelitis patients to inform clinical diagnosis and treatment. MIMIC IV database was used to retrieve ICU data for osteomyelitis patients. The data were randomly split into training and validation sets (7:3 ratio). Univariate and multiple logistic regression identified independent predictors of one-year mortality and constructed a risk prediction nomogram in the training set. Predictive value of the nomogram was assessed using C-indexes, ROC curves, DCA, CIC and calibration curves. This study included a total of 1153 osteomyelitis patients, wit

SUBMITTER: Liu Y 

PROVIDER: S-EPMC11695742 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature