Developing Insights for Possible and Probable Acute Concussions Using Cluster Analysis.

Autor: Garcia GP; MGH Institute for Technology Assessment, Harvard Medical School, Boston, Massachusetts, USA., Schumb CM; Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, Michigan, USA., Lavieri MS; Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, Michigan, USA., Koffijberg H; Department of Health Technology and Services Research, Technical Medical Centre, University of Twente, Enschede, the Netherlands., McAllister TW; Department of Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana, USA., McCrea MA; Department of Neurosurgery and Neurology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA., Broglio SP; Michigan Concussion Center, University of Michigan, Ann Arbor, Michigan, USA.
Jazyk: angličtina
Zdroj: Journal of neurotrauma [J Neurotrauma] 2022 Jan; Vol. 39 (1-2), pp. 102-113. Date of Electronic Publication: 2021 Apr 09.
DOI: 10.1089/neu.2020.7399
Abstrakt: Few studies have analyzed the Sport Concussion Assessment Tool's (SCAT) utility among athletes whose concussion assessment is challenging. Using a previously published algorithm, we identified possible and probable concussions at <6 h ( n  = 393 males, n  = 265 females) and 24-48 h ( n  = 323 males, n  = 236 females) post-injury within collegiate student-athletes and cadets from the Concussion Assessment, Research, and Education (CARE) Consortium. We applied cluster analysis to characterize performance on the Standard Assessment of Concussion (SAC), Balance Error Scoring System (BESS), and the SCAT symptom checklist for these athletes. Among the cluster sets that best separated acute concussions and normal performances, total symptom number raw score and change and post-traumatic migraine raw score and change score were the most frequent clustering variables across males and females at <6 h and 24-48 h. Similarly, total symptom number raw score and change score and post-traumatic migraine raw score and change score were most significantly different between clusters for males and females at <6 h and 24-48 h. Our results suggest that clinicians should focus on total symptom number, post-traumatic migraine symptoms, and cognitive-fatigue symptoms when assessing possible and probable concussions, followed by the SAC and BESS scores.
Databáze: MEDLINE