1. Predicting health status in the first year after trauma
- Author
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C.L.P. van de Ree, Ewout W. Steyerberg, M.A.C. de Jongh, K.W.W. Lansink, L. de Munter, N. Kruithof, Suzanne Polinder, Erasmus MC other, and Public Health
- Subjects
Adult ,Male ,Functional Capacity Index ,medicine.medical_specialty ,Health Status ,Population ,Decision Support Techniques ,03 medical and health sciences ,0302 clinical medicine ,Quality of life ,medicine ,Health Status Indicators ,Humans ,Prospective Studies ,030212 general & internal medicine ,education ,Prospective cohort study ,Aged ,Netherlands ,education.field_of_study ,Frailty ,business.industry ,Major trauma ,Mortality rate ,030208 emergency & critical care medicine ,Recovery of Function ,Middle Aged ,Prognosis ,medicine.disease ,Multivariate Analysis ,Linear Models ,Quality of Life ,Physical therapy ,Wounds and Injuries ,Female ,Surgery ,business ,Follow-Up Studies ,Cohort study ,Health Utilities Index - Abstract
BackgroundAlthough mortality rates following major trauma are continuing to decline, a growing number of patients are experiencing long-term disability. The aim of this study was to identify factors associated with health status in the first year following trauma and develop prediction models based on a defined trauma population.MethodsThe Brabant Injury Outcome Surveillance (BIOS) study was a multicentre prospective observational cohort study. Adult patients with traumatic injury were included from August 2015 to November 2016 if admitted to one of the hospitals of the Noord-Brabant region in the Netherlands. Outcome measures were EuroQol Five Dimensions 5D-3L (EQ-5D™ utility and visual analogue scale (VAS)) and Health Utilities Index (HUI) 2 and 3 scores 1 week and 1, 3, 6 and 12 months after injury. Prediction models were developed using linear mixed models, with patient characteristics, preinjury health status, injury severity and frailty as possible predictors. Predictors that were significant (P < 0·050) for one of the outcome measures were included in all models. Performance was assessed using explained variance (R2).ResultsIn total, 4883 patients participated in the BIOS study (50·0 per cent of the total), of whom 3366 completed the preinjury questionnaires. Preinjury health status and frailty were the strongest predictors of health status during follow-up. Age, sex, educational level, severe head or face injury, severe torso injury, injury severity, Functional Capacity Index score, co-morbidity and duration of hospital stay were also relevant in the multivariable models predicting health status. R2 ranged from 35 per cent for EQ-VAS to 48 per cent for HUI 3.ConclusionThe most important predictors of health status in the first year after trauma in this population appeared to be preinjury health status and frailty.
- Published
- 2019
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