Dataset: The development and internal validation of a model to predict functional recovery after trauma

Dataset

Description

A prospective single-center longitudinal cohort study. Patients were assessed at 6 weeks and 12 months post-injury.
Patients that presented at the emergency department with an acute traumatic injury, were prompted for participation. Patients that completed the assessments at 6 weeks and 12 months post injury were included. Exclusion criteria: age < 18, age > 65, pathologic fractures, injuries that resulted in severe neurologic deficits. The predicted outcome, functional recovery, was defined as a Short Musculoskeletal Function Assessment (SMFA-NL) Problems with Daily Activities (PDA) subscale ≤ 12.2 points at 12 months post-injury (Dutch population norm). Predictors were: gender, age, living with partner, number of chronic health conditions, SMFA-NL PDA score 6 weeks post-injury, ICU admission, length of stay in hospital, injury severity score, occurrence of complications and treatment type. All predictors were obtained before 6 weeks post-injury. Missing data were multiply imputed. Predictor variables were selected using backward stepwise multivariable logistic regression. A total of 246 patients were included.
Datum van beschikbaarheid3-mrt-2019
UitgeverUniversity of Groningen
Geografische dekkingThe Netherlands

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