Effects of Selective Head-and-Neck Cooling on Brain Injury-Related Biomarker Levels and Symptom Rating Following a Boxing Bout: Protocol for an Exploratory Randomized Trial
Notice bibliographique
Résumé
BACKGROUND: Head impacts are common in contact sports such as boxing and occur at times of elevated core body and brain temperatures induced by the exercise. Following impact, elevated brain temperature may lead to the development of exacerbated brain injury that can be monitored by blood biomarkers. Blood-brain biomarkers S100B and glial fibrillary acidic protein (GFAP) reflect glial injury; neurofilament light (NFL), axonal injury; and Neuron-Specific Enolase (NSE) and Tubulin-associated unit (tau), neuronal injury. Time to peak levels post injury for these biomarkers varies. Levels of S100B l peak early post injury, while NSE, GFAP, and tau are regarded as subacute markers, and NFL shows prolonged increases. We attempt to cover a large spectrum of first week postfight alterations in blood-brain biomarkers and their response to head-neck cooling. OBJECTIVE: We hypothesized that acute head-and-neck cooling, recently shown to shorten return-to-play in concussed ice hockey players, applied acutely following a boxing bout, is associated with an attenuated concentration of blood biomarkers and improved symptom rating. METHODS: The trial is academically driven and funded by external and hospital research funds. Young, healthy elite boxers aged ≥18 years are recruited. Before, and immediately after a competitive boxing bout consisting of 2 or 3 rounds of 2 minutes each, blood samples are drawn. Boxers are randomized to intervention or control management by 1:1 allocation before baseline testing. After the initial postfight blood sample is drawn and symptom rating using the Sports Concussion Assessment Tool-5 (SCAT-5) has been collected, the boxers receive either acute selective head-and-neck cooling for 45 minutes or routine postfight management. The number of head impacts is counted in all boxers on match video recordings. In both groups, blood samples are drawn 45 minutes after the initial postbout blood sample, as well as 3 and 6 days post fight. At all blood sampling time points, the number of symptoms (NOS) and symptom severity score (SSS) are assessed using the symptom rating part of the SCAT-5. The primary endpoint is the difference in biomarker levels (GFAP, NFL, tau, UCH-L1, neuronal-specific enolase) immediately post fight and preintervention, to those obtained at 6 days post fight. The postfight SCAT-5 NOS and SSS are secondary endpoints. RESULTS: Recruitment started in November 2021 and is ongoing. So far, 41 boxers have been included: 20 controls and 21 cooled. Data collection started in October 2024 following the completion of blood sample analysis. We expect to recruit more boxers before the middle of 2025, but challenges with recruitment may limit this. CONCLUSIONS: There is no treatment available for boxing-induced brain injury. Biomarkers are surrogate yet objective markers of brain injury, and the head-and-neck cooling treatment may attenuate the concentration of brain injury-related biomarkers as well as reduce symptoms induced by head impacts attained during a boxing fight. TRIAL REGISTRATION: ClinicalTrials.gov NCT06386484; https://clinicaltrials.gov/study/NCT06386484. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/68954.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,012 | 0,012 |
| Méta-épidémiologie (sens strict) | 0,006 | 0,002 |
| Méta-épidémiologie (sens large) | 0,011 | 0,004 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,002 | 0,003 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,003 | 0,002 |
| Intégrité de la recherche | 0,006 | 0,006 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,045 | 0,008 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».