轻度创伤性脑损伤的仪器平衡评估:急性、亚急性和慢性人群的规范性值和描述性数据

L. Parrington, Bryana Popa, Douglas N. Martini, J. Chesnutt, L. King
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引用次数: 5

摘要

通常平衡误差评分系统(BESS)是用来评估平衡期间的临床评估患者呈现轻度创伤性脑损伤(mTBI)。虽然最近的研究表明,使用惯性传感器测量,如加速度的均方根(RMS)代替临床评分的好处,很少有规范的数据可供临床医生参考。本文的目的是为三个年龄组的健康对照组提供使用可穿戴传感器收集的规范数据,并为mTBI参与者提供损伤后三个阶段(急性、亚急性和慢性)的队列数据。各工况(双站位- DS;单姿态- SS;和串联姿态- TS)提取每个参与者进行分析。还计算了所有条件下的平均ML RMS摆动(ML RMS- av)。计算百分位数以提供规范性数据,并使用两个多变量一般线性模型来评估1)非运动员对照组、运动员对照组和急性mTBI运动员,以及2)青年、中年和老年人对照组、亚急性和慢性mTBI组的非运动队列之间的差异。模型1显示,急性mTBI运动员在DS条件下比运动员对照组有更多的ML RMS摆动(p < 0.001),但与非运动员对照组无差异。与非运动员对照组相比,运动员对照组在SS条件下的ML RMS偏差和ML RMS- av也较小(p≤0.022)。模型2显示,在DS情况下,对照组的ML RMS偏转低于亚急性和慢性mTBI组(p≤0.004),但亚急性和慢性mTBI组之间无差异,而在TS情况和ML RMS- av情况下,慢性组的ML RMS偏转高于对照组和亚急性组(p≤0.013)。在SS、TS和ML RMS- av方面,老年人的ML RMS波动大于青壮年(p≤0.019),而青壮年之间无差异。本文提出的规范性值有助于增加通过可穿戴传感器对mTBI患者进行仪器平衡评估的实际应用。DS条件下的ML均方根偏差提供了对照组和mTBI组之间最明显的区别,但我们警告说,在缺乏基线规范值的情况下,需要将年轻成年运动员与运动同伴进行评估。在非运动员队列中,在评估DS表现时可能不需要考虑年龄和性别规范;然而,在获取其他姿势条件的标准或所有条件下的平均表现时,年龄可能是一个重要的考虑因素。
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Instrumented balance assessment in mild traumatic brain injury: Normative values and descriptive data for acute, sub-acute and chronic populations
Often the Balance Error Scoring System (BESS) is used to assess balance during a clinical evaluation of a patient presenting with mild Traumatic Brain Injury (mTBI). Although recent research has shown the benefits of using inertial sensor measures such as the Root Mean Square (RMS) of the acceleration in place of clinical scoring, few normative data are available for clinicians to reference. The purpose of this paper was to provide normative data collected using wearable sensors for healthy controls across three age groups, as well as providing cohort data for mTBI participants across three stages following injury (acute, sub-acute and chronic). The RMS in the Medio-Lateral direction (ML RMS sway) of each condition (double stance – DS; single stance – SS; and tandem stance – TS) was extracted per participant for analysis. The average ML RMS sway across all conditions was also calculated (ML RMS-Av). Percentiles were calculated to provide normative data, and two multivariate general linear models were used to evaluate differences between 1) non-athlete controls, athlete controls, and athletes with acute mTBI, and 2) non-athletic cohorts of control, sub-acute and chronic mTBI groups across young, middle-aged, and older adults. Model 1 revealed athletes with acute mTBI had more ML RMS sway than athlete controls the for the DS condition (p < 0.001), but no differences with non-athlete controls. Athlete controls also had less ML RMS sway for the SS condition and ML RMS-Av (p ≤ 0.022) compared with non-athlete controls. Model 2 revealed less ML RMS sway in the control group than the sub-acute and chronic mTBI groups for DS (p ≤ 0.004), but no differences between the sub-acute and chronic group, while more ML RMS sway occurred in the chronic group compared with the control and sub-acute groups for the TS condition and ML RMS-Av (p ≤ 0.013). Older adults had more ML RMS sway than young and middle-aged adults for SS, TS and ML RMS-Av (p ≤ 0.019), while there were no differences between the young and middle-aged adults. Normative values presented here can help increase the practical application of instrumented balance assessment of mTBI patients through wearable sensors. ML RMS sway in the DS condition provided the clearest distinction between control and mTBI groups, but we caution that young adult athletes need to be assessed against athletic peers in the absence of baseline normative values. In non-athlete cohorts, age and gender norms may not be necessary to consider when assessing DS performance; however, age may be an important factor to consider when accessing norms for other stance conditions or the average performance across all conditions.
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