Department of Neurology, University of California, San Francisco.
Weill Institute for Neurosciences, University of California, San Francisco.
JAMA Netw Open. 2023 Aug 1;6(8):e2328633. doi: 10.1001/jamanetworkopen.2023.28633.
Concussions are common in sports. Return-to-play protocols can be enhanced by objective biometrics.
To characterize temporal changes of headpulse, a digital biometric, in athletes with sports-related concussion; to explore the association of unstructured physical activity with headpulse changes.
DESIGN, SETTING, AND PARTICIPANTS: This cohort study included headpulse measurements from players in the highest level of amateur Australian Rules Football in South Australia. Analysis included feasibility and validation phases, with the feasibility cohort recruited between August 5, 2021, and September 10, 2021, and the validation cohort recruited between May 5, 2022, and September 3, 2022. Data were analyzed October 2022 through January 2023.
Cranial accelerometry detected micromovements of the head following cardiac contraction (what we have described as "headpulse"). Headpulse was serially recorded for 1 month in concussed individuals.
Headpulse waveforms underwent frequency transformation analysis per prespecified algorithm. Result Z scores were calculated. Headpulse Z scores exceeding 2 (2 SDs from control means) met an abnormality threshold. Headpulse sensitivity, timing, and duration of change were determined.
A total of 59 control and 43 concussed individuals (44 total concussions; 1 control also concussed, 1 concussed individual injured twice) provided headpulse measurements. The feasibility cohort (all male) included 17 control (median [IQR] age, 23 [19-28] years) and 15 concussed individuals (median [IQR] age, 21 [19-23] years). The validation cohort included 25 female (median [IQR] age, 21 [20-22] years) and 17 male (median [IQR] age, 26 [23-29] years) control individuals, and 8 female (median [IQR] age, 28 [20-31] years) and 20 male (median [IQR] age, 21 [19-23] years) concussed individuals. Headpulse reached abnormality threshold in 26 of 32 concussed individuals (81%; 9% on day 0, 50% by day 2, 90% by day 14). Headpulse alterations lasted 14 days longer than symptoms and were exacerbated by return-to-play or unsupervised physical activity.
In this study of 101 amateur Australian Rules Football athletes, the digital headpulse biometric was evaluated in 44 sports-related concussions. Compared with controls, new headpulse changes occurred after concussion; this objective metric may complement return-to-play protocols.
concussion 是运动中常见的现象。 return-to-play 协议可以通过客观的生物识别技术得到增强。
描述与运动相关的 concussion 患者的 headpulse(一种数字生物识别技术)的时间变化;探讨非结构化的体育活动与 headpulse 变化的关系。
设计、地点和参与者:这项队列研究包括了来自南澳大利亚州最高水平的业余澳式足球运动员的 headpulse 测量。分析包括可行性和验证阶段,可行性队列于 2021 年 8 月 5 日至 9 月 10 日招募,验证队列于 2022 年 5 月 5 日至 9 月 3 日招募。数据分析于 2022 年 10 月至 2023 年 1 月进行。
颅加速度计检测心脏收缩后头部的微小运动(我们将其描述为“headpulse”)。 concussion 患者的 headpulse 在 1 个月内进行连续记录。
headpulse 波形按照预定的算法进行频率变换分析。计算结果 Z 分数。超过 2(控制均值的 2 个标准差)的 headpulse Z 分数达到异常阈值。确定 headpulse 的敏感性、时间和变化持续时间。
共有 59 名对照和 43 名 concussion 患者(44 例 concussion;1 例对照也发生 concussion,1 例 concussion 患者两次受伤)提供了 headpulse 测量数据。可行性队列(均为男性)包括 17 名对照(中位数[IQR]年龄,23[19-28]岁)和 15 名 concussion 患者(中位数[IQR]年龄,21[19-23]岁)。验证队列包括 25 名女性(中位数[IQR]年龄,21[20-22]岁)和 17 名男性(中位数[IQR]年龄,26[23-29]岁)对照者,以及 8 名女性(中位数[IQR]年龄,28[20-31]岁)和 20 名男性(中位数[IQR]年龄,21[19-23]岁) concussion 患者。32 名 concussion 患者中有 26 名(81%;第 0 天 9%,第 2 天 50%,第 14 天 90%)达到 headpulse 异常阈值。headpulse 改变持续时间比症状长 14 天,并且在 return-to-play 或无人监督的体育活动时会加重。
在这项对 101 名业余澳式足球运动员的研究中,对 44 例与运动相关的 concussion 患者进行了数字 headpulse 生物识别技术评估。与对照组相比, concussion 后出现了新的 headpulse 变化;这种客观指标可能补充 return-to-play 协议。