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Measures of Cardioautonomic Dysfunction as Markers of Sport Related Concussion

机译:心脏自主神经功能障碍的测量作为运动相关脑震荡的标志物

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摘要

The field of concussion research is vast but lacking in uniformity when implementing or recommending evaluative protocols. Of the pathological characteristics associated with concussion, autonomic dysfunction includes but is not limited to a dysregulation of autonomic afferent and efferent pathways in both cortical and medullary regions, resulting in impaired intrinsic auto regulatory function influencing inotropic and chronotropic aspects of myocardial contractility, as well as vascular smooth muscle regulation (1,2). Popular methods of assessing autonomic function in the wake of a concussion include heart rate variability (HRV) analysis, blood pressure variability analysis (BPV), and spontaneous baroreceptor sensitivity (SBRS). This project aims to examine the impact of concussive trauma on cardio autonomic functioning and multilevel cardio autonomic integration across two studies in 65 otherwise healthy college-aged athletes, with a focus on heart rate variability, blood pressure variability, and the multilevel autonomic integration required for cardiac baroreflex functioning across six time epochs (baseline, days 1-3, days 4-7, days 8-11, days 12-15, and days 16+) using rest and rhythmic breathing portions (0.1 Hz) of the Neary Protocol. Two within-subject repeated-measures multilevel modelling approaches were used for statistical analysis to address non-equidistant sampling intervals present in the data set, with a Sidak post-hoc test for pairwise comparisons with alpha set at p<0.05. I conclude that rhythmic breathing is the preferred methodology to assess cardio autonomic dysfunction in the wake of a concussion, integrate heart rate variability and baroreceptor sensitivity values, and speculate about a potential mechanism responsible for patterns of cardio autonomic dysfunction to paint a picture of the multilevel autonomic integration that can be readily evaluated to diagnose concussion.
机译:脑震荡研究领域广阔,但在实施或推荐评估方案时缺乏统一性。在与脑震荡相关的病理特征中,自主神经功能障碍包括但不限于皮质和髓质区域的自主神经传入和传出通路失调,导致内在自身调节功能受损,从而影响心肌收缩力的正性肌力和变时性方面,以及血管平滑肌调节 (1,2)。评估脑震荡后自主神经功能的常用方法包括心率变异性 (HRV) 分析、血压变异性分析 (BPV) 和自发压力感受器敏感性 (SBRS)。该项目旨在通过两项研究来检查脑震荡创伤对心脏自主神经功能和多级心脏自主神经整合的影响,该研究涉及 65 名其他方面健康的大学年龄运动员,重点是心率变异性、血压变异性以及心脏压力反射功能所需的多级自主神经整合六个时间时期(基线、第 1-3 天、第 4-7 天、 第 8-11 天、第 12-15 天和第 16+ 天)使用 Neary 协议的休息和有节奏的呼吸部分 (0.1 Hz)。两种受试者内重复测量多级建模方法用于统计分析,以解决数据集中存在的非等距采样区间,并使用 Sidak 事后检验与 p<0.05 的 alpha 进行成对比较。我得出结论,有节奏呼吸是评估脑震荡后心动自主神经功能障碍的首选方法,整合心率变异性和压力感受器敏感性值,并推测导致心动自主神经功能障碍模式的潜在机制,以描绘出多级自主神经整合的画面,可以很容易地评估以诊断脑震荡。

著录项

  • 作者

    Teckchandani, Taylor Arjun;

  • 作者单位

    The University of Regina (Canada);

    The University of Regina (Canada);

    The University of Regina (Canada);

  • 授予单位 The University of Regina (Canada);The University of Regina (Canada);The University of Regina (Canada);
  • 学科 Pathology;Physiology;Artificial intelligence;Bioinformatics;Biology;Cellular biology;Energy;Genetics
  • 学位
  • 年度 2020
  • 页码 131
  • 总页数 131
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Pathology; Physiology; Artificial intelligence; Bioinformatics; Biology; Cellular biology; Energy; Genetics;

    机译:病理学;生理学;人工智能;生物信息学;生物;细胞生物学;能源;遗传学;
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