Brodke Dane J, Makaroff Katherine, Kelly Enda G, Silva Mauricio, Thompson Rachel M
Department of Orthopaedic Surgery, University of California, Los Angeles, Los Angeles, CA, USA.
Children's Health Ireland at Temple Street Hospital, Dublin, Ireland.
J Child Orthop. 2023 Jun 12;17(4):376-381. doi: 10.1177/18632521231177273. eCollection 2023 Aug.
Structured visual gait assessment is essential for the evaluation of pediatric patients with neuromuscular conditions. The purpose of this study was to evaluate the benefit of slow-motion video recorded on a standard smartphone to augment visual gait assessment.
Coronal and sagittal plane videos of the gait of five pediatric subjects were recorded on a smartphone, including four subjects with ambulatory cerebral palsy and one subject without gait pathology. Twenty-one video scorers were recruited and randomized to evaluate slow-motion or normal-speed videos utilizing the Edinburgh Visual Gait Score. The slow-motion group (N = 11) evaluated the videos at one-eighth speed, and the normal-speed group (N = 10) evaluated the same videos at normal speed. Interrater reliabilities were determined by calculating intraclass correlation coefficients for each group as a whole, for each Edinburgh Visual Gait Score item, and after stratification by evaluator experience level.
The slow-motion group exhibited an intraclass correlation coefficient of 0.65 (95% confidence interval: 0.58-0.73), whereas the normal-speed group exhibited an intraclass correlation coefficient of 0.57 (95% confidence interval: 0.49-0.65). For less-experienced scorers, intraclass correlation coefficients of 0.62 (95% confidence interval: 0.53-0.71) and 0.50 (95% confidence interval: 0.40-0.59) were calculated for slow motion and normal speed, respectively. For more-experienced scorers, intraclass correlation coefficients of 0.69 (95% confidence interval: 0.61-0.76) and 0.67 (95% confidence interval: 0.58-0.75) were calculated for slow motion and normal speed, respectively.
Visual gait assessment is enhanced by the use of slow-motion smartphone video, a tool widely available throughout the world with no marginal cost.
level I, randomized study.
结构化视觉步态评估对于评估患有神经肌肉疾病的儿科患者至关重要。本研究的目的是评估在标准智能手机上录制的慢动作视频对增强视觉步态评估的益处。
在智能手机上记录了五名儿科受试者步态的冠状面和矢状面视频,其中包括四名患有行走型脑瘫的受试者和一名没有步态病理学问题的受试者。招募了21名视频评分者并将其随机分组,使用爱丁堡视觉步态评分法评估慢动作或正常速度的视频。慢动作组(N = 11)以八分之一的速度评估视频,正常速度组(N = 10)以正常速度评估相同的视频。通过计算每组整体、每个爱丁堡视觉步态评分项目以及按评估者经验水平分层后的组内相关系数来确定评分者间的可靠性。
慢动作组的组内相关系数为0.65(95%置信区间:0.58 - 0.73),而正常速度组的组内相关系数为0.57(95%置信区间:0.49 -
0.65)。对于经验较少的评分者,慢动作和正常速度的组内相关系数分别计算为0.62(95%置信区间:0.53 - 0.71)和0.50(95%置信区间:0.40 - 0.59)。对于经验更丰富的评分者,慢动作和正常速度的组内相关系数分别计算为0.69(95%置信区间:0.61 - 0.76)和0.67(95%置信区间:0.58 - 0.75)。
使用慢动作智能手机视频可增强视觉步态评估,这是一种在全球广泛可用且无需边际成本的工具。
I级(随机研究)