The development of a HAMstring InjuRy (HAMIR) index to mitigate injury risk through innovative imaging, biomechanics, and data analytics: protocol for an observational cohort study.
Eccentric strength
Muscle injury
Muscle volume
Risk prediction model
Sprint running
Journal
BMC sports science, medicine & rehabilitation
ISSN: 2052-1847
Titre abrégé: BMC Sports Sci Med Rehabil
Pays: England
ID NLM: 101605016
Informations de publication
Date de publication:
15 Jul 2022
15 Jul 2022
Historique:
received:
18
05
2022
accepted:
06
07
2022
entrez:
15
7
2022
pubmed:
16
7
2022
medline:
16
7
2022
Statut:
epublish
Résumé
The etiology of hamstring strain injury (HSI) in American football is multi-factorial and understanding these risk factors is paramount to developing predictive models and guiding prevention and rehabilitation strategies. Many player-games are lost due to the lack of a clear understanding of risk factors and the absence of effective methods to minimize re-injury. This paper describes the protocol that will be followed to develop the HAMstring InjuRy (HAMIR) index risk prediction models for HSI and re-injury based on morphological, architectural, biomechanical and clinical factors in National Collegiate Athletic Association Division I collegiate football players. A 3-year, prospective study will be conducted involving collegiate football student-athletes at four institutions. Enrolled participants will complete preseason assessments of eccentric hamstring strength, on-field sprinting biomechanics and muscle-tendon volumes using magnetic-resonance imaging (MRI). Athletic trainers will monitor injuries and exposure for the duration of the study. Participants who sustain an HSI will undergo a clinical assessment at the time of injury along with MRI examinations. Following completion of structured rehabilitation and return to unrestricted sport participation, clinical assessments, MRI examinations and sprinting biomechanics will be repeated. Injury recurrence will be monitored through a 6-month follow-up period. HAMIR index prediction models for index HSI injury and re-injury will be constructed. The most appropriate strategies for reducing risk of HSI are likely multi-factorial and depend on risk factors unique to each athlete. This study will be the largest-of-its-kind (1200 player-years) to gather detailed information on index and recurrent HSI, and will be the first study to simultaneously investigate the effect of morphological, biomechanical and clinical variables on risk of HSI in collegiate football athletes. The quantitative HAMIR index will be formulated to identify an athlete's propensity for HSI, and more importantly, identify targets for injury mitigation, thereby reducing the global burden of HSI in high-level American football players. Trial Registration The trial is prospectively registered on ClinicalTrials.gov (NCT05343052; April 22, 2022).
Sections du résumé
BACKGROUND
BACKGROUND
The etiology of hamstring strain injury (HSI) in American football is multi-factorial and understanding these risk factors is paramount to developing predictive models and guiding prevention and rehabilitation strategies. Many player-games are lost due to the lack of a clear understanding of risk factors and the absence of effective methods to minimize re-injury. This paper describes the protocol that will be followed to develop the HAMstring InjuRy (HAMIR) index risk prediction models for HSI and re-injury based on morphological, architectural, biomechanical and clinical factors in National Collegiate Athletic Association Division I collegiate football players.
METHODS
METHODS
A 3-year, prospective study will be conducted involving collegiate football student-athletes at four institutions. Enrolled participants will complete preseason assessments of eccentric hamstring strength, on-field sprinting biomechanics and muscle-tendon volumes using magnetic-resonance imaging (MRI). Athletic trainers will monitor injuries and exposure for the duration of the study. Participants who sustain an HSI will undergo a clinical assessment at the time of injury along with MRI examinations. Following completion of structured rehabilitation and return to unrestricted sport participation, clinical assessments, MRI examinations and sprinting biomechanics will be repeated. Injury recurrence will be monitored through a 6-month follow-up period. HAMIR index prediction models for index HSI injury and re-injury will be constructed.
DISCUSSION
CONCLUSIONS
The most appropriate strategies for reducing risk of HSI are likely multi-factorial and depend on risk factors unique to each athlete. This study will be the largest-of-its-kind (1200 player-years) to gather detailed information on index and recurrent HSI, and will be the first study to simultaneously investigate the effect of morphological, biomechanical and clinical variables on risk of HSI in collegiate football athletes. The quantitative HAMIR index will be formulated to identify an athlete's propensity for HSI, and more importantly, identify targets for injury mitigation, thereby reducing the global burden of HSI in high-level American football players. Trial Registration The trial is prospectively registered on ClinicalTrials.gov (NCT05343052; April 22, 2022).
Identifiants
pubmed: 35841053
doi: 10.1186/s13102-022-00520-3
pii: 10.1186/s13102-022-00520-3
pmc: PMC9288010
doi:
Banques de données
ClinicalTrials.gov
['NCT05343052']
Types de publication
Journal Article
Langues
eng
Pagination
128Subventions
Organisme : NFL Foundation
ID : AAJ5998 MSN249213
Investigateurs
Geoffrey Baer
(G)
Craig Buckley
(C)
Kyle Costigan
(K)
Shauna Drew
(S)
Duffy Eberhardt
(D)
Kurrel Fabian
(K)
Herman Feller
(H)
Erin Hammer
(E)
Danielle Heidt
(D)
Kenneth Lee
(K)
Brian Lund
(B)
Jack Martin
(J)
Michael Moll
(M)
Jennifer Sanfilippo
(J)
Shaun Snee
(S)
Claire Tanaka
(C)
Ty Taylor
(T)
John Wilson
(J)
Devin Woodhouse
(D)
Yi-Chung Lin
(YC)
Jack Hickey
(J)
Nirav Maniar
(N)
Frances Taylor
(F)
Ryan Timmins
(R)
Matthew Cousins
(M)
Olivia DuCharme
(O)
Xue Feng
(X)
Scott Magargee
(S)
Craig Meyer
(C)
Anthony Nguyen
(A)
Lara Riem
(L)
Robin West
(R)
Steven Allen
(S)
Dain Allred
(D)
Anthony Beutler
(A)
Dustin Bruening
(D)
Darren Campbell
(D)
A Wayne Johnson
(AW)
Camille Nguyen
(C)
Emma Remington
(E)
Annie A Smedley
(AA)
Joshua K Sponbeck
(JK)
David Berkoff
(D)
Josh Berkowitz
(J)
Thomas Birchmeier
(T)
Troy Blackburn
(T)
Malvika Choudhari
(M)
Mario Ciocca
(M)
Alessa Lennon
(A)
Caroline Lisee
(C)
Noah McCoy
(N)
David Mincberg
(D)
Scott Oliaro
(S)
Brian Pietrosimone
(B)
Luke Ross
(L)
Julie Titter
(J)
Sarah Sund
(S)
Informations de copyright
© 2022. The Author(s).
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