ArticleThe Journal of surgical research2021
Are We Underestimating the Morbidity of Single Rib Fractures?
Article in The Journal of surgical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.
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Who cites it
6 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Clinical prediction models for the management of blunt chest trauma in the emergency department: a systematic review.BMC emergency medicine · 2024Pooled it
- Deep learning for acute rib fracture detection in CT data: a systematic review and meta-analysis.The British journal of radiology · 2024Pooled it
- Morbidity prediction in conservatively managed rib fracture patients.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2025Article
- Investigating the link between frailty and outcomes in geriatric patients with isolated rib fractures.Trauma surgery & acute care open · 2024Article
- Associations Between Psychiatric Diagnoses on Length of Stay and Mortality After Rib Fracture: A Retrospective Analysis.The Journal of surgical research · 2023Article
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Authors and funding
8 authors.
Funding
Abstract
purposePrevious studies suggest that patients with multiple rib fractures have poor outcomes, but it is unknown how isolated single rib fractures (SRF) are associated with morbidity or mortality. We hypothesized that patients with poor outcomes after SRF can be identified by demographics and comorbidities. The purpose of this study was to model adverse outcome after single rib fractures. MATERIALS AND
methodsWe used the 2016 National Inpatient Sample to identify patients with SRF associated with blunt trauma using ICD-10 coding. Comorbidities and abbreviated injury score (AIS) were also extracted. Patients with non-chest trauma were excluded. The primary outcome was an adverse composite outcome of death, pneumonia, tracheostomy, or hospitalization longer than twelve days. One-third of the cohort was reserved for validation. Backward selection multivariable modeling identified factors associated with adverse composite outcome. The model was used to create a nomogram to predict adverse composite outcome. The nomogram was then tested using the validation cohort.
results2,398 patients with isolated SRF were divided into training (n = 1,598) and validation sets (n = 800). The average age was 69 and the majority were male (66%) and received care at academic institutions (61.6%). The adverse composite outcome occurred in 20.8%: 61 deaths (2.5%), 67 tracheostomies (2.8%), 319 pneumonias (13.3%), and 165 patients with hospital length of stay greater than twelve days (6.9%). Results of stepwise multivariable modeling had a C-statistic of 0.700. The multivariable model was used to create a nomogram which had a c-statistic of 0.672 in the validation cohort.
conclusion20% of isolated SRF patients had an adverse outcome. Demographics and comorbidities can be used to identify and triage high-risk patients for specialized care and proper counseling.
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