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Diffuse axonal injury after traumatic brain injury is a prognostic factor for functional outcome: a systematic review and meta-analysis

ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 395-402 | Received 04 Jan 2017, Accepted 14 Jan 2018, Published online: 30 Jan 2018
 

ABSTRACT

Objective: To determine the prognosis of adult patients with traumatic brain injury (TBI) and diffuse axonal injury (DAI).

Methods: Online search (PubMed, Embase and Ovid Science Direct) of articles providing information about outcome in (1) patients with DAI in general, (2) DAI vs. non-DAI, (3) related to magnetic resonance imaging (MRI) classification and (4) related to lesion location/load. A reference check and quality assessment were performed.

Results: A total of 32 articles were included. TBI patients with DAI had a favourable outcome in 62%. The risk of unfavourable outcome in TBI with DAI was three times higher than in TBI without DAI. Odds ratio (OR) for unfavourable outcome was 2.9 per increase of DAI grade on MRI. Lesions located in the corpus callosum were associated with an unfavourable outcome. Other specific lesion locations and lesions count showed inconsistent results regarding outcome. Lesion volume was predictive for outcome only on apparent diffusion coefficient and fluid attenuation inversion recovery MRI sequences.

Conclusions: Presence of DAI on MRI in patients with TBI results in a higher chance of unfavourable outcome. With MRI grading, OR for unfavourable outcome increases threefold with every grade. Lesions in the corpus callosum in particular are associated with an unfavourable outcome.

Declaration of interest

Nobody other than the authors is responsible for the content of this paper.

Supplemental data

Supplemental data for this article can be accessed here.

Additional information

Funding

This work was supported by a grant of the Dutch organization for health research and care innovation (ZonMW) section TopCare Xperiment, grand number 842004002. The funding source played no role in the design, collection, analysis, interpretation or publication of the data.

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