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ABSTRACT: Purpose
Rib fractures, common in blunt chest trauma, affect 10% of trauma patients and are linked to increased pulmonary morbidity and mortality. This study applies machine learning to identify predictors of complications in conservatively managed rib fracture patients.Methods
Data from the 2013-2021 American College of Surgeons' Trauma Quality Improvement Program included adults (≥ 18 years) with isolated thoracic injury from blunt trauma and conservatively managed rib fractures. Variables included demographics, comorbidities, injury severity, injury patterns, admission vitals, and complications. The permutation importance method identified top predictors of in-hospital complications.Results
Of 321,355 rib fracture patients, 183,303 (57.0%) had isolated rib fractur
SUBMITTER: Ekestubbe L
PROVIDER: S-EPMC12041140 | biostudies-literature | 2025 Apr
REPOSITORIES: biostudies-literature