Paul S Auerbach1, Jennifer G Baine, Megan L Schott, Amy Greenhaw, Monika G Acharya, Wade S Smith. 1. *Division of Emergency Medicine, Department of Surgery, Stanford University School of Medicine, Stanford, California; †Department of Orthopedic Surgery, Stanford University School of Medicine, Stanford, California; ‡Stanford-Kaiser Affiliated Residency in Emergency Medicine, Stanford University School of Medicine, Stanford, California; §Los Altos High School, Los Altos, California; and ¶Department of Neurology, School of Medicine, University of California, San Francisco, San Francisco, California.
Abstract
OBJECTIVE: To determine whether skull motion produced by pulsatile cerebral blood flow, as measured by cranial accelerometry, is altered during concussion. DESIGN: In phase 1, to identify a specific pattern indicative of concussion, cranial accelerometry of subjects who sustained a concussion underwent analysis of waveforms, which was compared with accelerometry from subjects without a concussion (baseline). In phase 2, this concussion pattern was tested against prospectively acquired, blinded data. SETTING: High school tackle football practice and game play. PARTICIPANTS: Eighty-four football players. INTERVENTIONS: Subjects had accelerometry measurements and concurrent 2-lead electrocardiograms. In players with a concussion, multiple sequential measurements were obtained. Sport Concussion Assessment Tool 2 was used to assist clinical determination of concussion. MAIN OUTCOME MEASURES: Whether a characteristic waveform pattern of cranial accelerometry occurs in subjects with concussion. RESULTS: Phase 1 demonstrated a consistent pattern correlated to concussion. Phase 2 found this pattern in 10 of 13 subjects with concussion (76.9% sensitivity). Seventy-nine of 82 baseline plus nine postseason (total = 91) recordings from nonconcussed subjects did not show the concussion pattern (87% specificity). CONCLUSIONS: In subjects with concussion, we observed a unique pattern determined by cranial accelerometry. This may provide a method to noninvasively detect and longitudinally observe concussion. CLINICAL RELEVANCE: There is no objective, real-time, noninvasive, and easily accessible measure for concussion. If accelerometry is validated, it could provide a critical diagnostic tool for sports medicine physicians.
OBJECTIVE: To determine whether skull motion produced by pulsatile cerebral blood flow, as measured by cranial accelerometry, is altered during concussion. DESIGN: In phase 1, to identify a specific pattern indicative of concussion, cranial accelerometry of subjects who sustained a concussion underwent analysis of waveforms, which was compared with accelerometry from subjects without a concussion (baseline). In phase 2, this concussion pattern was tested against prospectively acquired, blinded data. SETTING: High school tackle football practice and game play. PARTICIPANTS: Eighty-four football players. INTERVENTIONS: Subjects had accelerometry measurements and concurrent 2-lead electrocardiograms. In players with a concussion, multiple sequential measurements were obtained. Sport Concussion Assessment Tool 2 was used to assist clinical determination of concussion. MAIN OUTCOME MEASURES: Whether a characteristic waveform pattern of cranial accelerometry occurs in subjects with concussion. RESULTS: Phase 1 demonstrated a consistent pattern correlated to concussion. Phase 2 found this pattern in 10 of 13 subjects with concussion (76.9% sensitivity). Seventy-nine of 82 baseline plus nine postseason (total = 91) recordings from nonconcussed subjects did not show the concussion pattern (87% specificity). CONCLUSIONS: In subjects with concussion, we observed a unique pattern determined by cranial accelerometry. This may provide a method to noninvasively detect and longitudinally observe concussion. CLINICAL RELEVANCE: There is no objective, real-time, noninvasive, and easily accessible measure for concussion. If accelerometry is validated, it could provide a critical diagnostic tool for sports medicine physicians.
Authors: Andrew R Mayer; Mayank Kaushal; Andrew B Dodd; Faith M Hanlon; Nicholas A Shaff; Rebekah Mannix; Christina L Master; John J Leddy; David Stephenson; Christopher J Wertz; Elizabeth M Suelzer; Kristy B Arbogast; Timothy B Meier Journal: Neurosci Biobehav Rev Date: 2018-08-09 Impact factor: 8.989