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Rib Fracture Frailty Index: A risk stratification tool for geriatric patients with multiple rib fractures.
Choi, Jeff; Marafino, Ben J; Vendrow, Edward B; Tennakoon, Lakshika; Baiocchi, Michael; Spain, David A; Forrester, Joseph D.
Affiliation
  • Choi J; From the Division of General Surgery, Department of Surgery (J.C., L.T., D.A.S., J.D.F.), Surgeons Writing About Trauma (J.C., E.B.V., L.T., D.A.S., J.D.F.), Department of Biomedical Data Science (J.C., B.J.M.), Department of Epidemiology and Population Health (B.J.M., M.B.), and Department of Computer Science (E.B.V.), Stanford University, Stanford, California.
J Trauma Acute Care Surg ; 91(6): 932-939, 2021 12 01.
Article in En | MEDLINE | ID: mdl-34446653
BACKGROUND: Rib fractures are consequential injuries for geriatric patients (age, ≥65 years). Although age and injury patterns drive many rib fracture management decisions, the impact of frailty-which baseline conditions affect rib fracture-specific outcomes-remains unclear for geriatric patients. We aimed to develop and validate the Rib Fracture Frailty (RFF) Index, a practical risk stratification tool specific for geriatric patients with rib fractures. We hypothesized that a compact list of frailty markers can accurately risk stratify clinical outcomes after rib fractures. METHODS: We queried nationwide US admission encounters of geriatric patients admitted with multiple rib fractures from 2016 to 2017. Partitioning around medoids clustering identified a development subcohort with previously validated frailty characteristics. Ridge regression with penalty for multicollinearity aggregated baseline conditions most prevalent in this frail subcohort into RFF scores. Regression models with adjustment for injury severity, sex, and age assessed associations between frailty risk categories (low, medium, and high) and inpatient outcomes among validation cohorts (odds ratio [95% confidence interval]). We report results according to Transparent Reporting of Multivariable Prediction Model for Individual Prognosis guidelines. RESULTS: Development cohort (n = 55,540) cluster analysis delineated 13 baseline conditions constituting the RFF Index. Among external validation cohort (n = 77,710), increasing frailty risk (low [reference group], moderate, high) was associated with stepwise worsening adjusted odds of mortality (1.5 [1.2-1.7], 3.5 [3.0-4.0]), intubation (2.4 [1.5-3.9], 4.7 [3.1-7.5]), hospitalization ≥5 days (1.4 [1.3-1.5], 1.8 [1.7-2.0]), and disposition to home (0.6 [0.5-0.6], 0.4 [0.3-0.4]). Locally weighted scatterplot smoothing showed correlations between increasing RFF scores and worse outcomes. CONCLUSION: The RFF Index is a practical frailty risk stratification tool for geriatric patients with multiple rib fractures. The mobile app we developed may facilitate rapid implementation and further validation of RFF Index at the bedside. LEVEL OF EVIDENCE: Prognostic study, level III.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Rib Fractures / Geriatric Assessment / Spinal Fractures / Risk Assessment / Fractures, Multiple / Frailty Type of study: Diagnostic_studies / Etiology_studies / Guideline / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Female / Humans / Male Country/Region as subject: America do norte Language: En Journal: J Trauma Acute Care Surg Year: 2021 Document type: Article Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Rib Fractures / Geriatric Assessment / Spinal Fractures / Risk Assessment / Fractures, Multiple / Frailty Type of study: Diagnostic_studies / Etiology_studies / Guideline / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Female / Humans / Male Country/Region as subject: America do norte Language: En Journal: J Trauma Acute Care Surg Year: 2021 Document type: Article Country of publication: United States