Evidence map›Paper›PMID 40299043›Full record

ArticleEuropean journal of trauma and emergency surgery : official publication of the European Trauma Society2025

Morbidity prediction in conservatively managed rib fracture patients.

Lovisa Ekestubbe, Maximilian Peter Forssten, Yang Cao, Babak Sarani, Shahin Mohseni

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Article in European journal of trauma and emergency surgery : official publication of the European Trauma Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Lovisa EkestubbeDepartment of Orthopedic Surgery, Orebro University Hospital, Orebro, Sweden.
Maximilian Peter ForsstenDepartment of Orthopedic Surgery, Orebro University Hospital, Orebro, Sweden.
Yang CaoClinical Epidemiology and Biostatistics, School of Medical Sciences, Faculty of Medicine and Health, Orebro University, Orebro, Sweden.
Babak SaraniCenter of Trauma and Critical Care, George Washington University, Washington, DC, USA.
Shahin MohseniSchool of Medical Sciences, Orebro University, Orebro, Sweden. mohsenishahin@yahoo.com.ORCID https://orcid.org/0000-0001-7097-487X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeRib 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.

methodsData 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.

resultsOf 321,355 rib fracture patients, 183,303 (57.0%) had isolated rib fractures. The five primary predictors of complications in all rib fracture patients were age, Glasgow Coma Scale (GCS) on admission, Revised Cardiac Risk Index (RCRI), chronic obstructive pulmonary disease (COPD), and alcohol use disorder. For isolated rib fracture patients, the same predictors applied but in the order: age, RCRI, GCS, COPD, and alcohol use disorder. A logistic regression model using these predictors showed acceptable discriminative capacity for complications in the full cohort [AUC (95% CI): 0.72 (0.71-0.72)] and isolated rib fracture patients [AUC (95% CI): 0.72 (0.71-0.73)].

conclusionCardiovascular risk, age, and level of consciousness on admission are key predictors of complications in conservatively managed rib fracture patients. Though complication rates remain low overall, elderly patients with multiple cardiovascular risk factors face a heightened risk of deterioration.

Indexed as

Conservative TreatmentRib FracturesThoracic InjuriesWounds, NonpenetratingAdultAgedAge FactorsFemaleGlasgow Coma ScaleHumansInjury Severity ScoreMachine LearningMaleMiddle AgedPulmonary Disease, Chronic ObstructiveRetrospective StudiesConservative managementMachine learningMorbidityPermutation importanceRib fracture

Identifiers

PMID40299043
PMCPMC12041140

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