Sensitivity of outcome instruments in a priori selected patient groups after traumatic brain injury: Results from the CENTER-TBI study.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2023
Historique:
received: 27 06 2022
accepted: 09 01 2023
medline: 11 4 2023
entrez: 7 4 2023
pubmed: 8 4 2023
Statut: epublish

Résumé

Traumatic brain injury (TBI) can negatively impact patients' lives on many dimensions. Multiple instruments are available for evaluating TBI outcomes, but it is still unclear which instruments are the most sensitive for that purpose. This study examines the sensitivity of nine outcome instruments in terms of their ability to discriminate within and between specific patient groups, selected a priori as identified from the literature, at three different time points within a year after TBI (i.e., 3, 6, and 12 months post injury). The sensitivity of the instruments to sociodemographic (sex, age, education), premorbid (psychological health status), and injury-related (clinical care pathways, TBI and extracranial injury severity) factors was assessed by means of cross-sectional multivariate Wei-Lachin analyses. The Glasgow Outcome Scale Extended (GOSE)-the standard in the field of TBI for measuring functional recovery-demonstrated the highest sensitivity in most group comparisons. However, as single functional scale, it may not be able to reflect the multidimensional nature of the outcome. Therefore, the GOSE was used as a reference for further sensitivity analyses on more specific outcome scales, addressing further potential deficits following TBI. The physical component summary score (PCS) of the generic health-related quality of life (HRQOL) instruments (SF-36v2/-12v2) and the TBI-specific HRQOL instruments (QOLIBRI/-OS) were most sensitive in distinguishing recovery after TBI across all time points and patient groups, followed by the RPQ assessing post-concussion symptoms and the PHQ-9 measuring depression. The SF-36v2/-12v2 mental component summary score and the GAD-7 measuring anxiety were less sensitive in several group comparisons. The assessment of the functional recovery status combined with generic HRQOL (the PCS of the SF-12v2), disease-specific HRQOL (QOLIBRI-OS), and post-concussion symptoms (RPQ) can provide a sensitive, comprehensive, yet time-efficient evaluation of the health status of individuals after TBI in different patient groups.

Identifiants

pubmed: 37027437
doi: 10.1371/journal.pone.0280796
pii: PONE-D-22-18258
pmc: PMC10081802
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0280796

Informations de copyright

Copyright: © 2023 von Steinbuechel 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.

Déclaration de conflit d'intérêts

The authors have read the journal’s policy and have the following competing interests: Johannes Vester is a senior biometric consultant of idv Datenanalyse und Versuchsplanung and received no personal fees related to the submitted work. Integra LifeSciences Corporation (USA) and NeuroTrauma Sciences (USA) provided additional financial support in respect to data curation. This does not alter our adherence to PLOS ONE policies on sharing data and materials. There are no patents, products in development or marketed products associated with this research to declare.

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Auteurs

Nicole von Steinbuechel (N)

Institute of Medical Psychology and Medical Sociology, University Medical Center Göttingen, Göttingen, Germany.

Katrin Rauen (K)

Department of Geriatric Psychiatry, Psychiatric Hospital Zurich, University of Zurich, Zurich, Switzerland.
Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany.

Amra Covic (A)

Institute of Medical Psychology and Medical Sociology, University Medical Center Göttingen, Göttingen, Germany.

Ugne Krenz (U)

Institute of Medical Psychology and Medical Sociology, University Medical Center Göttingen, Göttingen, Germany.

Fabian Bockhop (F)

Institute of Medical Psychology and Medical Sociology, University Medical Center Göttingen, Göttingen, Germany.

Isabelle Mueller (I)

Institute of Medical Psychology and Medical Sociology, University Medical Center Göttingen, Göttingen, Germany.
Columbia University Medical Center, Department of Psychiatry, New York, NY, United States of America.

Katrin Cunitz (K)

Institute of Medical Psychology and Medical Sociology, University Medical Center Göttingen, Göttingen, Germany.

Suzanne Polinder (S)

Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.

Ewout W Steyerberg (EW)

Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.

Johannes Vester (J)

Department of Biometry and Clinical Research, idv Data Analysis and Study Planning, Gauting, Germany.

Marina Zeldovich (M)

Institute of Medical Psychology and Medical Sociology, University Medical Center Göttingen, Göttingen, Germany.

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