Impact of Sociodemographic, Premorbid, and Injury-Related Factors on Patient-Reported Outcome Trajectories after Traumatic Brain Injury (TBI)

Author:

von Steinbuechel Nicole1,Hahm Stefanie2,Muehlan Holger2ORCID,Arango-Lasprilla Juan Carlos3ORCID,Bockhop Fabian1ORCID,Covic Amra1,Schmidt Silke2,Steyerberg Ewout W.4ORCID,Maas Andrew I. R.5ORCID,Menon David6,Andelic Nada78ORCID,Zeldovich Marina1ORCID,

Affiliation:

1. Institute of Medical Psychology and Medical Sociology, University Medical Center Goettingen, Waldweg 37A, 37073 Goettingen, Germany

2. Department Health & Prevention, Institute of Psychology, University of Greifswald, Robert-Blum-Str. 13, 17489 Greifswald, Germany

3. Departments of Psychology and Physical Medicine and Rehabilitation, Virginia Commonwealth University, 907 Floyd Ave., Richmond, VA 23284, USA

4. Department of Biomedical Data Sciences, Leiden University Medical Center, 2333 RC Leiden, The Netherlands

5. Department of Neurosurgery, Antwerp University Hospital and University of Antwerp, 2650 Edegem, Belgium

6. Division of Anaesthesia, University of Cambridge/Addenbrooke’s Hospital, Box 157, Cambridge CB2 0QQ, UK

7. Department of Physical Medicine and Rehabilitation, Oslo University Hospital, 0450 Oslo, Norway

8. Institute of Health and Society, Research Centre for Habilitation and Rehabilitation Models, Faculty of Medicine, Univeristy of Oslo, 0373 Oslo, Norway

Abstract

Traumatic brain injury (TBI) remains one of the leading causes of death and disability worldwide. To better understand its impact on various outcome domains, this study pursues the following: (1) longitudinal outcome assessments at three, six, and twelve months post-injury; (2) an evaluation of sociodemographic, premorbid, and injury-related factors, and functional recovery contributing to worsening or improving outcomes after TBI. Using patient-reported outcome measures, recuperation trends after TBI were identified by applying Multivariate Latent Class Mixed Models (MLCMM). Instruments were grouped into TBI-specific and generic health-related quality of life (HRQoL; QOLIBRI-OS, SF-12v2), and psychological and post-concussion symptoms (GAD-7, PHQ-9, PCL-5, RPQ). Multinomial logistic regressions were carried out to identify contributing factors. For both outcome sets, the four-class solution provided the best match between goodness of fit indices and meaningful clinical interpretability. Both models revealed similar trajectory classes: stable good health status (HRQoL: n = 1944; symptoms: n = 1963), persistent health impairments (HRQoL: n = 442; symptoms: n = 179), improving health status (HRQoL: n = 83; symptoms: n = 243), and deteriorating health status (HRQoL: n = 86; symptoms: n = 170). Compared to individuals with stable good health status, the other groups were more likely to have a lower functional recovery status at three months after TBI (i.e., the GOSE), psychological problems, and a lower educational attainment. Outcome trajectories after TBI show clearly distinguishable patterns which are reproducible across different measures. Individuals characterized by persistent health impairments and deterioration require special attention and long-term clinical monitoring and therapy.

Funder

European Union 7th Framework programme

Hannelore Kohl Stiftung

OneMind

Integra LifeSciences Corporation

NeuroTrauma Sciences

Publisher

MDPI AG

Subject

General Medicine

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