A Hybrid Assessment of Clinical Mobility Test Items for Evaluating Individuals With Mild Traumatic Brain Injury.

Autor:	Fino PC; Departments of Health & Kinesiology (P.C.F.) and Physical Therapy & Athletic Training (R.P., L.E.D.), The University of Utah, Salt Lake City, Utah; Courage Kenny Research Center, Allina Health, Minneapolis, Minnesota (P.G.M., M.M.W.); Sport and Exercise Science, School of Allied Health, Human Services and Sport, La Trobe University, Bundoora, Australia (L.P.); Department of Neurology, Oregon Health & Science University, Portland, Oregon (L.P., L.A.K.); Army-Baylor University Doctoral Program in Physical Therapy, Fort Sam Houston, Texas (C.W.H., M.E.L.); and Department of Physical Therapy, Texas State University, Round Rock, Texas (M.E.L.)., Michielutti PG, Pelo R, Parrington L, Dibble LE, Hoppes CW, Lester ME, Weightman MM, King LA
Jazyk:	angličtina
Zdroj:	Journal of neurologic physical therapy : JNPT [J Neurol Phys Ther] 2023 Apr 01; Vol. 47 (2), pp. 84-90. Date of Electronic Publication: 2022 Dec 19.
DOI:	10.1097/NPT.0000000000000427
Abstrakt:	Background and Purpose: The Functional Gait Assessment (FGA) and High Level Mobility Assessment Tool (HiMAT) are clinical batteries used to assess people with mild traumatic brain injury (mTBI). However, neither assessment was specifically developed for people with mTBI; the FGA was developed to evaluate vestibular deficits, and the HiMAT was developed for individuals with more severe TBI. To maximize the sensitivity and reduce the time burden of these assessments, the purpose of this study was to determine the combination of FGA and HiMAT items that best discriminates persons with persistent symptoms from mTBI from healthy controls. Methods: Fifty-three symptomatic civilians with persistent symptoms from mTBI (21% male, aged 31 (9.5) years, 328 [267] days since concussion) and 57 healthy adults (28% male, aged 32 (9.6) years) participated across 3 sites. The FGA and HiMAT were evaluated sequentially as part of a larger study. To determine the best combination of items, a lasso-based generalized linear model (glm) was fit to all data. Results: The area under the curve (AUC) for FGA and HiMAT total scores was 0.68 and 0.66, respectively. Lasso regression selected 4 items, including FGA Gait with Horizontal Head Turns and with Pivot Turn, and HiMAT Fast Forward and Backward Walk, and yielded an AUC (95% confidence interval) of 0.71 (0.61-0.79) using standard scoring. Discussion and Conclusions: The results provide initial evidence supporting a reduced, 4-Item Hybrid Assessment of Mobility for mTBI (HAM-4-mTBI) for monitoring individuals with mTBI. Future work should validate the HAM-4-mTBI and investigate its utility for tracking progression throughout rehabilitation.Video Abstract available for more insights from the authors (see the Video, Supplemental Digital Content 1, http://links.lww.com/JNPT/A409 ). Competing Interests: The authors declare no conflict of interest. (Copyright © 2022 Academy of Neurologic Physical Therapy, APTA.)
Databáze:	MEDLINE
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