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Clinical Trial
. 2015 Jan 15;32(2):83-94.
doi: 10.1089/neu.2014.3384. Epub 2014 Nov 25.

Outcome prediction after mild and complicated mild traumatic brain injury: external validation of existing models and identification of new predictors using the TRACK-TBI pilot study

Collaborators, Affiliations
Clinical Trial

Outcome prediction after mild and complicated mild traumatic brain injury: external validation of existing models and identification of new predictors using the TRACK-TBI pilot study

Hester F Lingsma et al. J Neurotrauma. .

Abstract

Although the majority of patients with mild traumatic brain injury (mTBI) recover completely, some still suffer from disabling ailments at 3 or 6 months. We validated existing prognostic models for mTBI and explored predictors of poor outcome after mTBI. We selected patients with mTBI from TRACK-TBI Pilot, an unselected observational cohort of TBI patients from three centers in the United States. We validated two prognostic models for the Glasgow Outcome Scale Extended (GOS-E) at 6 months after injury. One model was based on the CRASH study data and another from Nijmegen, The Netherlands. Possible predictors of 3- and 6-month GOS-E were analyzed with univariate and multi-variable proportional odds regression models. Of the 386 of 485 patients included in the study (median age, 44 years; interquartile range, 27-58), 75% (n=290) presented with a Glasgow Coma Score (GCS) of 15. In this mTBI population, both previously developed models had a poor performance (area under the receiver operating characteristic curve, 0.49-0.56). In multivariable analyses, the strongest predictors of lower 3- and 6-month GOS-E were older age, pre-existing psychiatric conditions, and lower education. Injury caused by assault, extracranial injuries, and lower GCS were also predictive of lower GOS-E. Existing models for mTBI performed unsatisfactorily. Our study shows that, for mTBI, different predictors are relevant as for moderate and severe TBI. These include age, pre-existing psychiatric conditions, and lower education. Development of a valid prediction model for mTBI patients requires further research efforts.

Trial registration: ClinicalTrials.gov NCT01565551.

Keywords: GOS-E; TBI; prognostic models; validation.

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Figures

<b>FIG. 1.</b>
FIG. 1.
Calibration plot Jacobs combined model. x-axis shows predicted probabilities by the model in quintiles of patients (triangles with horizontal lines as 95% confidence intervals); y-axis shows observed probabilities. Dotted diagonal represents perfect predictions. Spikes along the x-axis are numbers of patients with favorable and unfavorable observed outcomes. ROC, receiver operating characteristic.
<b>FIG. 2.</b>
FIG. 2.
Calibration plot CRASH computed tomography model. x-axis shows predicted probabilities by the model in quintiles of patients (triangles with horizontal lines as 95% confidence intervals); y-axis shows observed probabilities. Dotted diagonal represents perfect predictions. Spikes along the x-axis are numbers of patients with favorable and unfavorable observed outcomes. ROC, receiver operating characteristic.
<b>FIG. 3.</b>
FIG. 3.
Calibration plot CRASH computed tomography model (original population). x-axis shows predicted probabilities by the model in quintiles of patients (triangles with horizontal lines as 95% confidence intervals); y-axis shows observed probabilities. Dotted diagonal represents perfect predictions. Spikes along the x-axis are numbers of patients with favorable and unfavorable observed outcomes. ROC, receiver operating characteristic.

References

    1. Faul M., Xu L., Wald M.M., and Coronado V.G. (2010). Traumatic brain injury in the United States: emergency department visits, hospitalizations and deaths 2002–2006. Centers for Disease Control and Prevention, National Center for Injury Prevention and Control: Atlanta, GA
    1. Bruns J., Jr., and Hauser W.A. (2003). The epidemiology of traumatic brain injury: a review. Epilepsia 44, Suppl. 10, 2–10 - PubMed
    1. Fleminger S., and Ponsford J. (2005). Long term outcome after traumatic brain injury. BMJ 331, 1419–1420 - PMC - PubMed
    1. Cassidy J.D., Carroll L.J., Peloso P.M., Borg J., von Holst H., Holm L., Kraus J., Coronado V.G., and the WHO Collaborating Center Task Force on Mild Traumatic Brain Injury. (2004). Incidence, risk factors and prevention of mild traumatic brain injury: results of the WHO Collaborating Center Task Force on Mild Traumatic Brain Injury. J. Rehabil. Med. 43Suppl., 28–60 - PubMed
    1. Carroll L.J., Cassidy J.D., Holm L., Kraus J., Coronado V.G., and the WHO Collaborating Center Task Force on Mild Traumatic Brain Injury. (2004). Methodological issues and research recommendations for mild traumatic brain injury: the WHO Collaborating Center Task Force on Mild Traumatic Brain Injury. J. Rehabil. Med. 43Suppl., 113–125 - PubMed

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