4.2 Article

Rib Fracture Frailty Index: A risk stratification tool for geriatric patients with multiple rib fractures

Journal

JOURNAL OF TRAUMA AND ACUTE CARE SURGERY
Volume 91, Issue 6, Pages 932-939

Publisher

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/TA.0000000000003390

Keywords

Prediction tool; geriatric; rib fractures; frailty

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The study aimed to develop and validate a Rib Fracture Frailty (RFF) Index for geriatric patients with rib fractures, which can accurately stratify clinical outcomes. The findings showed that increasing frailty risk was associated with worse inpatient outcomes for these patients.
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.

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