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Evaluation of the Injury Impairment Scale, a Tool to Predict Road Crash Sequelae, in a French Cohort of Road Crash Survivors.
- Source :
- Traffic Injury Prevention; May2012, Vol. 13 Issue 3, p239-248, 10p
- Publication Year :
- 2012
-
Abstract
- Objective: The objective of the present study was to validate sequelae prediction by the Maximal Injury Impairment Score (M-IIS) in comparison with the Functional Independence Measure (FIM) assessed at 1-year follow-up of severe road crash victims. Methods: The study population came from “the Etude et Suivi d’une Population d’Accidentés de la Route dans le Rhône” (ESPARR; Rhône Area Road Crash Victim Follow-up Study) cohort: 178 victims (with Maximal Abbreviated Injury Scale ≥ 3) of road crashes in the Rhône administrative department of France, aged ≥ 16 years and with medical examination including FIM scoring 1 year postaccident. Two thresholds were tested for both scores. Firstly, the relation between FIM and M-IIS was assessed on logistic regression models adjusted on age and presence of complications at 1 year postaccident. The predictive capacity of M-IIS was expressed as its negative and positive predictive values and was considered good when 80 percent or better. Results: Sixty-three of the 178 adult subjects (mean age = 37.7 years; range = 16.1–82.9 years) showed postaccident complications. One-year sequelae prediction on M-IIS was greater in head, spine, and limb lesions but limited to slight impairments (M-IIS = 1). There was a significant correlation between FIM and M-IIS, although age and medical complications were confounding factors on certain multivariate models. The predictive capacity of M-IIS was low for all types of sequelae. Conclusions: M-IIS, in this severely injured population, failed to predict sequelae at 1 year as measured by the FIM, despite a good correlation between the two. Complications are to be taken into account in assessing the M-IIS's capacity to predict sequelae. Further evaluation will be needed on larger series or assessment of other indicators and measures of sequelae at 1 year to obtain a robust tool to predict road crash sequelae. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 15389588
- Volume :
- 13
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- Traffic Injury Prevention
- Publication Type :
- Academic Journal
- Accession number :
- 75346294
- Full Text :
- https://doi.org/10.1080/15389588.2011.647139