Ontology highlight
ABSTRACT: Background
Fracture-related infection (FRI) and subsequent persistent infections significantly affect fracture surgeries. We aimed to develop a precise, personalized risk calculator to assist orthopedic surgeons in evaluating perioperative FRI risk.Methods
Data from 36,087 patients across two medical centers and four regional hospitals were analyzed. We assessed 29 risk factors, including patient characteristics, comorbidities, fracture location, and surgical variables using multivariable logistic regression. Each factor was weighted based on its regression coefficient. Discrimination and calibration were assessed with optimism-corrected AUC and Brier scores (1 000-fold bootstrap) and calibration plots.Results
FRI occurred in 2396 patients (6.64%), and 453 patients
SUBMITTER: Liao CY
PROVIDER: S-EPMC12557870 | biostudies-literature | 2025 Oct
REPOSITORIES: biostudies-literature