Institute of Neuroscience and Physiology, Clinical Neuroscience, Rehabilitation Medicine, Sahlgrenska Academy, University of Gothenburg, Per Dubbsgatan 14, 3rd Floor, 41345, Göteborg, Sweden.
Department of Neurological Rehabilitation, Sahlgrenska University Hospital, Göteborg, Sweden.
J Neuroeng Rehabil. 2021 Sep 26;18(1):147. doi: 10.1186/s12984-021-00938-9.
More knowledge of the relationships between kinematic measures and clinical assessments is required to guide clinical decision making and future research.
To determine which kinematic variables obtained during a drinking task were associated with clinical assessments of upper extremity functioning in people with spinal cord injury (SCI).
In total, 25 individuals with chronic cervical (n = 17) or thoracic (n = 8) complete (n = 14) or motor incomplete (n = 11) SCI (mean age 58.4, SD 13.8) were included. Kinematic data, including movement time, smoothness and joint angles was captured with a 5-camera optoelectronic system during a unimanual drinking task. Action Research Arm Test (ARAT), Sollerman Hand Function Test (SHFT) and basic hand classification of the Upper Extremity Data Set (ISCI-Hand) were used as clinical assessments. Multiple regression analysis was used to identify kinematic variables associated with clinical assessments after controlling for potential confounding factors, such as, age, severity of SCI, sensory function, and hand surgery.
Movement time, smoothness and movement pattern kinematics including trunk displacement, elbow and wrist joint angles were correlated (p < 0.05) with all three clinical scales while the velocity-related kinematics and inter-joint coordination showed low correlations. Multiple regression analysis revealed that wrist angle combined with movement time or smoothness explained 82% and 77% of the total variance in ARAT and SHFT, respectively. Wrist angle alone explained 59% of the variance in ISCI-Hand. The proprioception of the hand increased the explanatory power in the models of ARAT and SHFT. Associations between kinematics and clinical assessments in the subgroup with cervical SCI were equivalent to the whole group analyses. The number of participants in the subgroup with thoracic SCI was small and only allowed limited analysis.
Wrist angle, movement time, movement smoothness are the most important kinematic variables associated with upper extremity clinical assessments in people with SCI. The results are most valid for individuals with cervical SCI. All three assessments are appropriate for SCI. Further research with larger representative sample of thoracic SCI needed.
为了指导临床决策和未来的研究,需要更多了解运动学测量与临床评估之间的关系。
确定在一项饮酒任务中获得的运动学变量与脊髓损伤(SCI)患者上肢功能的临床评估之间的关系。
共纳入 25 名慢性颈(n=17)或胸(n=8)完全性(n=14)或运动不完全性(n=11)SCI 患者(平均年龄 58.4,SD 13.8)。使用 5 个摄像头光电系统在单手饮酒任务中获取运动时间、流畅度和关节角度等运动学数据。使用上肢数据集中的动作研究上肢测试(ARAT)、索勒尔曼手功能测试(SHFT)和基本手分类(ISCI-Hand)进行临床评估。在控制潜在混杂因素(如年龄、SCI 严重程度、感觉功能和手部手术)后,使用多元回归分析确定与临床评估相关的运动学变量。
运动时间、流畅度和运动模式运动学,包括躯干位移、肘部和腕关节角度与所有三个临床量表相关(p<0.05),而与速度相关的运动学和关节间协调则相关性较低。多元回归分析显示,腕关节角度与运动时间或流畅度相结合可分别解释 ARAT 和 SHFT 总方差的 82%和 77%。腕关节角度单独解释了 ISCI-Hand 变异的 59%。手部本体感觉增加了 ARAT 和 SHFT 模型的解释力。运动学与颈椎 SCI 患者的临床评估之间的关联与全组分析相当。胸椎 SCI 亚组的参与者数量较少,仅允许进行有限的分析。
腕关节角度、运动时间、运动流畅度是与 SCI 患者上肢临床评估最相关的最重要运动学变量。结果对颈椎 SCI 患者最有效。所有三种评估方法均适用于 SCI。需要进一步进行研究,以获得更大的胸椎 SCI 代表性样本。