852
Views
5
CrossRef citations to date
0
Altmetric
Original Articles

Concordance of common data elements for assessment of subjective cognitive complaints after mild-traumatic brain injury: a TRACK-TBI Pilot Study

ORCID Icon, , ORCID Icon, , , , , , , , , , & show all
Pages 1071-1078 | Received 10 Oct 2017, Accepted 23 May 2018, Published online: 04 Jun 2018
 

ABSTRACT

Objective: To determine characteristics and concordance of subjective cognitive complaints (SCCs) 6 months following mild-traumatic brain injury (mTBI) as assessed by two different TBI common data elements (CDEs).

Research design: The Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) Pilot Study was a prospective observational study that utilized the NIH TBI CDEs, Version 1.0. We examined variables associated with SCC, performance on objective cognitive tests (Wechsler Adult Intelligence Scale, California Verbal Learning Test, and Trail Making Tests A and B), and agreement on self-report of SCCs as assessed by the acute concussion evaluation (ACE) versus the Rivermead Post Concussion Symptoms Questionnaire (RPQ).

Results: In total, 68% of 227 participants endorsed SCCs at 6 months. Factors associated with SCC included less education, psychiatric history, and being assaulted. Compared to participants without SCC, those with SCC defined by RPQ performed significantly worse on all cognitive tests. There was moderate agreement between the two measures of SCCs (kappa = 0.567 to 0.680).

Conclusion: We show that the symptom questionnaires ACE and RPQ show good, but not excellent, agreement for SCCs in an mTBI study population. Our results support the retention of RPQ as a basic CDE for mTBI research.

Abbreviations: BSI-18: Brief Symptom Inventory; 18CDEs: common data elements; CT: computed tomography; CVLT: California Verbal Learning Test; ED: emergency department; GCS: Glasgow coma scale; LOC: loss of consciousnessm; TBI: mild-traumatic brain injury; PTA: post-traumatic amnesia; SCC: subjective cognitive complaints; TBI: traumatic brain injury; TRACK-TBI: Transforming Research and Clinical Knowledge in Traumatic Brain Injury; TMT: Trail Making Test; WAIS-PSI: Wechsler Adult Intelligence Scale, Fourth Edition, Processing Speed Index

Acknowledgments

TRACK-TBI Investigators:

Kristen Dams-O’Connor, PhD (Department of Rehabilitation Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA); Wayne A. Gordon, PhD (Department of Rehabilitation Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA); Allison J. Hricik, MS (Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA); Hester F. Lingsma, PhD (Department of Public Health, Erasmus Medical Center, Rotterdam, The Netherlands); Andrew I. R. Maas, MD, PhD (Department of Neurological Surgery, University Hospital Antwerp, Antwerp, Belgium); David K. Menon, MD, PhD (Departments of Anaesthesia and Neurocritical Care, University of Cambridge, Cambridge, United Kingdom); Ava M. Puccio, RN, PhD (Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA); David M. Schnyer, PhD (Department of Psychology, University of Texas at Austin, Austin, TX, USA); Mary J. Vassar, RN, MS (Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA).

Declaration of interest

The authors have no conflicts of interest.

Additional information

Funding

This work was supported by NIH/NINDS [grant number NS069409-02S1 to GTM].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 727.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.