Bergmannsheil University Hospital Bochum

Bochum, Germany

Bergmannsheil University Hospital Bochum

Bochum, Germany
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Von Steinbuchel N.,University Medical Center Goettingen | Real R.G.L.,University Medical Center Goettingen | Sasse N.,University Medical Center Goettingen | Wilson L.,University of Stirling | And 15 more authors.
PLoS ONE | Year: 2017

The consequences of traumatic brain injury (TBI) for health-related quality of life (HRQoL) are still poorly understood, and no TBI-specific instrument has hitherto been available. This paper describes in detail the psychometrics and validity of the German version of an internationally developed, self-rated HRQoL tool after TBI-the QOLIBRI (Quality of Life after Brain Injury). Factors associated with HRQoL, such as the impact of cognitive status and awareness, are specifically reported. One-hundred seventy-two participants after TBI were recruited from the records of acute clinics, most of whom having a Glasgow Coma Scale (GCS) 24-hour worst score and a Glasgow Outcome Scale (GOSE) score. Participants had severe (24%), moderate (11%) and mild (56%) injuries as assessed on the GCS, 3 months to 15 years post-injury. The QOLIBRI uses 37 items to measure "satisfaction" in the areas of "Cognition", "Self", "Daily Life and Autonomy", and "Social Relationships", and "feeling bothered" by "Emotions"and "Physical Problems". The scales meet standard psychometric criteria (a =.84 to.96; intra-class correlation-ICC =.72 to.91). ICCs (0.68 to 0.90) and as (.83 to.96) were also good in a subgroup of participants with lower cognitive performance. The six-subscale structure of the international sample was reproduced for the German version using confirmatory factor analyses and Rasch analysis. Scale validity was supported by systematic relationships observed between the QOLIBRI and the GOSE, Patient Competency Rating Scale for Neurorehabilitation (PCRS-NR), Hospital Anxiety and Depression Scale (HADS), Profile of Mood States (POMS), Short Form 36 (SF-36), and Satisfaction with Life Scale (SWLS). The German QOLIBRI contains novel information not provided by other currently available measures and has good psychometric criteria. It is potentially useful for clinicians and researchers, in post-acute and rehabilitation studies, on a group and individual level. © 2017 von Steinbuchel et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


Khatami M.,University of Bonn | Schmidt-Wilcke T.,Bergmannsheil University Hospital Bochum | Sundgren P.C.,Lund University | Sundgren P.C.,University of Michigan | And 3 more authors.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2015

We present BundleMAP, a novel method for extracting features from diffusion MRI (dMRI), which can be used to detect disease with supervised classification. BundleMAP uses manifold learning to aggregate measurements over localized segments of nerve fiber bundles, which are natural anatomical units in this data. We obtain a fully integrated machine learning pipeline by combining this idea with mechanisms for outlier removal and feature selection. We demonstrate that it increases accuracy on a clinical dataset for which classification results have been reported previously, and that it pinpoints the anatomical locations relevant to the classification. © Springer International Publishing Switzerland 2015.

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