Assessment of Blood Biomarker Profile After Acute Concussion During Combative Training Among US Military Cadets: A Prospective Study From the NCAA and US Department of Defense CARE Consortium.
Assessment of Blood Biomarker Profile After Acute Concussion During Combative Training Among US Military Cadets: A Prospective Study From the NCAA and US Department of Defense CARE Consortium.
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DOI:
10.1001/jamanetworkopen.2020.37731
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发表时间:
2021-02-01
影响因子:
13.8
通讯作者:
Svoboda S
中科院分区:
文献类型:
--
作者:
Giza CC;McCrea M;Huber D;Cameron KL;Houston MN;Jackson JC;McGinty G;Pasquina P;Broglio SP;Brooks A;DiFiori J;Duma S;Harezlak J;Goldman J;Guskiewicz K;McAllister TW;McArthur D;Meier TB;Mihalik JP;Nelson LD;Rowson S;Gill J;CARE Consortium Investigators;Foroud T;Katz B;Saykin A;Campbell DE;Svoboda S
Is concussion incurred during combative training associated with changes in blood levels of protein biomarkers for traumatic brain injury among military service academy cadets? In this case-control study of 103 military service academy cadets in the US, the levels of glial fibrillary acidic protein and ubiquitin C-terminal hydrolase-L1 biomarkers among cadets who incurred concussions during combative training indicated significant increases compared with baseline values and values found in matched cadets who participated in the same combative training exercises but did not incur concussions. Neurofilament light chain levels were significantly higher among cadets with concussions compared with those without concussions at less than 6 hours after injury to 7 days after return to activity. In this study, blood biomarkers delineated physiological changes after concussions that were incurred during military combative training, indicating patterns that were largely consistent with those reported in studies of sport-associated concussions. Validation of protein biomarkers for concussion diagnosis and management in military combative training is important, as these injuries occur outside of traditional health care settings and are generally difficult to diagnose. To investigate acute blood protein levels in military cadets after combative training–associated concussions. This multicenter prospective case-control study was part of a larger cohort study conducted by the National Collegiate Athletic Association and the US Department of Defense Concussion Assessment Research and Education (CARE) Consortium from February 20, 2015, to May 31, 2018. The study was performed among cadets from 2 CARE Consortium Advanced Research Core sites: the US Military Academy at West Point and the US Air Force Academy. Cadets who incurred concussions during combative training (concussion group) were compared with cadets who participated in the same combative training exercises but did not incur concussions (contact-control group). Clinical measures and blood sample collection occurred at baseline, the acute postinjury point (<6 hours), the 24- to 48-hour postinjury point, the asymptomatic postinjury point (defined as the point at which the cadet reported being asymptomatic and began the return-to-activity protocol), and 7 days after return to activity. Biomarker levels and estimated mean differences in biomarker levels were natural log (ln) transformed to decrease the skewness of their distributions. Data were collected from August 1, 2016, to May 31, 2018, and analyses were conducted from March 1, 2019, to January 14, 2020. Concussion incurred during combative training. Proteins examined included glial fibrillary acidic protein, ubiquitin C-terminal hydrolase-L1, neurofilament light chain, and tau. Quantification was conducted using a multiplex assay (Simoa; Quanterix Corp). Clinical measures included the Sport Concussion Assessment Tool–Third Edition symptom severity evaluation, the Standardized Assessment of Concussion, the Balance Error Scoring System, and the 18-item Brief Symptom Inventory. Among 103 military service academy cadets, 67 cadets incurred concussions during combative training, and 36 matched cadets who engaged in the same training exercises did not incur concussions. The mean (SD) age of cadets in the concussion group was 18.6 (1.3) years, and 40 cadets (59.7%) were male. The mean (SD) age of matched cadets in the contact-control group was 19.5 (1.3) years, and 25 cadets (69.4%) were male. Compared with cadets in the contact-control group, those in the concussion group had significant increases in glial fibrillary acidic protein (mean difference in ln values, 0.34; 95% CI, 0.18-0.50; P < .001) and ubiquitin C-terminal hydrolase-L1 (mean difference in ln values, 0.97; 95% CI, 0.44-1.50; P < .001) levels at the acute postinjury point. The glial fibrillary acidic protein level remained high in the concussion group compared with the contact-control group at the 24- to 48-hour postinjury point (mean difference in ln values, 0.22; 95% CI, 0.06-0.38; P = .007) and the asymptomatic postinjury point (mean difference in ln values, 0.21; 95% CI, 0.05-0.36; P = .01). The area under the curve for all biomarkers combined, which was used to differentiate cadets in the concussion and contact-control groups, was 0.80 (95% CI, 0.68-0.93; P < .001) at the acute postinjury point. This study’s findings indicate that blood biomarkers have potential for use as research tools to better understand the pathobiological changes associated with concussion and to assist with injury identification and recovery from combative training–associated concussions among military service academy cadets. These results extend the previous findings of studies of collegiate athletes with sport-associated concussions. This case-control study examines whether blood levels of protein biomarkers for traumatic brain injury change after concussions incurred during combative training exercises among US military service academy cadets.
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影响因子:
4
作者:
Di Battista AP;Moes KA;Shiu MY;Hutchison MG;Churchill N;Thomas SG;Rhind SG
通讯作者:
Rhind SG
DOI:
10.1007/s40279-017-0707-1
发表时间:
2017-07
期刊:
Sports medicine (Auckland, N.Z.)
影响因子:
--
作者:
Broglio SP;McCrea M;McAllister T;Harezlak J;Katz B;Hack D;Hainline B;CARE Consortium Investigators
通讯作者:
CARE Consortium Investigators
影响因子:
15.3
作者:
Vandenbroucke, Jan P.;von Elm, Erik;Egger, Matthias
通讯作者:
Egger, Matthias
影响因子:
29
作者:
Papa L;Brophy GM;Welch RD;Lewis LM;Braga CF;Tan CN;Ameli NJ;Lopez MA;Haeussler CA;Mendez Giordano DI;Silvestri S;Giordano P;Weber KD;Hill-Pryor C;Hack DC
通讯作者:
Hack DC
影响因子:
3.8
作者:
Neselius, Sanna;Brisby, Helena;Blennow, Kaj
通讯作者:
Blennow, Kaj