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Do Head Injury Biomechanics Predict Concussion Clinical Recovery in College American Football Players?

Authors :
Mihalik JP
Chandran A
Powell JR
Roby PR
Guskiewicz KM
Stemper BD
Shah AS
Rowson S
Duma S
Harezlak J
Riggen L
Broglio SP
McAllister TW
McCrea M
Source :
Annals of biomedical engineering [Ann Biomed Eng] 2020 Nov; Vol. 48 (11), pp. 2555-2565. Date of Electronic Publication: 2020 Nov 02.
Publication Year :
2020

Abstract

Identifying the associations between head impact biomechanics and clinical recovery may inform better head impact monitoring procedures and identify athletes who may benefit from early treatments aimed to enhance recovery. The purpose of this study was to test whether head injury biomechanics are associated with clinical recovery of symptom severity, balance, and mental status, as well as symptom resolution time (SRT) and return-to-participation (RTP) time. We studied 45 college American football players (n = 51 concussions) who sustained an incident concussion while participating in a multi-site study. Player race/ethnicity, prior concussion, medical history, position, body mass index, event type, and impact location were covariates in our multivariable analyses. Multivariable negative binomial regression models analyzed associations between our study outcomes and (1) injury-causing linear and rotational head impact severity, (2) season repetitive head impact exposure (RHIE), and (3) injury day RHIE. Median SRT was 6.1 days (IQR 5.8 days, n = 45) and median RTP time was 12.3 days (IQR 7.8 days, n = 36) across our study sample. RTP time was 86% (Ratio 1.86, 95% CI [1.05, 3.28]) longer in athletes with a concussion history. Offensive players had SRTs 49% shorter than defensive players (Ratio 0.51, 95% CI [0.29, 0.92]). Per-unit increases in season RHIE were associated with 22% longer SRT (Ratio 1.22, 95% CI [1.09, 1.36]) but 28% shorter RTP time (Ratio 0.72, 95% CI [0.56, 0.93]). No other head injury biomechanics predicted injury recovery.

Details

Language :
English
ISSN :
1573-9686
Volume :
48
Issue :
11
Database :
MEDLINE
Journal :
Annals of biomedical engineering
Publication Type :
Academic Journal
Accession number :
33136240
Full Text :
https://doi.org/10.1007/s10439-020-02658-y