As the overall survival rate for burn injury has improved, increased emphasis is placed on postburn morbidity and the optimization of functional and c

To examine functional status versus medical comorbidities as predictors of acute care readmissions in medically complex patients. Retrospective database study. U.S. inpatient rehabilitation facilities. Subjects included 120,957 patients in the Uniform Data System for Medical Rehabilitation admitted to inpatient rehabilitation facilities under the medically complex impairment group code between 2002 and 2011. A Basic Model based on gender and functional status was developed using logistic regression to predict the odds of 3-, 7-, and 30-day readmission from inpatient rehabilitation facilities to acute care hospitals. Functional status was measured by the FIM^® motor score. The Basic Model was compared to six other predictive models—three Basic Plus Models that added a comorbidity measure to the Basic Model and three Gender-Comorbidity Models that included only gender and a comorbidity measure. The three comorbidity measures used were the Elixhauser index, Deyo-Charlson index, and Medicare comorbidity tier system. The c-statistic was the primary measure of model performance. We investigated 3-, 7-, and 30-day readmission to acute care hospitals from inpatient rehabilitation facilities. Basic Model c-statistics predicting 3-, 7-, and 30-day readmissions were 0.69, 0.64, and 0.65, respectively. The best-performing Basic Plus Model (Basic+Elixhauser) c-statistics were only 0.02 better than the Basic Model, and the best-performing Gender-Comorbidity Model (Gender+Elixhauser) c-statistics were more than 0.07 worse than the Basic Model. Readmission models based on functional status consistently outperform models based on medical comorbidities. There is opportunity to improve current national readmission risk models to more accurately predict readmissions by incorporating functional data.

BACKGROUND People living with burn injury often face long-term physical and psychological sequelae associated with their injuries. Few studies have examined the impacts of burn injuries on long-term health and function, life satisfaction, and community integration beyond 5 years postinjury. The purpose of this study was to examine these outcomes up to 20 years after burn injury. METHODS Data from the Burn Model System National Longitudinal Database (1993–2020) were analyzed. Patient-reported outcome measures were collected at discharge (preinjury status recall) and 5 years, 10 years, 15 years, and 20 years after injury. Outcomes examined were the SF-12/VR-12 Physical Component Summary and Mental Component Summary, Satisfaction with Life Scale, and Community Integration Questionnaire. Trajectories were developed using linear mixed models with repeated measures of outcome scores over time, controlling for demographic and clinical variables. RESULTS The study population included 421 adult burn survivors with a mean age of 42.4 years. Lower Physical Component Summary scores (worse health) were associated with longer length of hospital stay, older age at injury and greater time since injury. Similarly, lower Mental Component Summary scores were associated with longer length of hospital stay, female sex, and greater time since injury. Satisfaction with Life Scale scores decrease negatively over time. Lower Community Integration Questionnaire scores were associated with burn size and Hispanic/Latino ethnicity. CONCLUSION Burn survivors' physical and mental health and satisfaction with life worsened over time up to 20 years after injury. Results strongly suggest that future studies should focus on long-term follow-up where clinical interventions may be necessary. LEVEL OF EVIDENCE Prognostic and Epidemiologic; Level III. Export