Whiteley Isaac, Sideris Vasileios, Kotsifaki Roula, King Enda, Whiteley Rod
Rehabilitation Qatar Orthopaedic and Sports Medicine Hospital.
Int J Sports Phys Ther. 2023 Oct 1;18(5):1156-1165. doi: 10.26603/001c.88005. eCollection 2023.
Jump testing performance and limb symmetry measures are important metrics for clinicians to monitor during rehabilitation after Anterior Cruciate Ligament (ACL) reconstruction, however they require hardware and software which is not commonly available in clinical practice. Video-based solutions may present a feasible alternative, but their veracity in classifying patients using limb-symmetry of 90% has not been established, nor have the clinimetric values for the performance measures been reported in this population.
To describe the diagnostic accuracy (pass/fail using 90% LSI) and clinimetrics of an iPad-based app ("MyJump") compared to reference force plate analyses for limb symmetry, jump/hop height, contact time, flight time, and reactive strength index.
Prospective cohort, diagnostic accuracy.
Fifty-one consecutive patients recovering from ACL reconstruction undertaking routine independent clinical evaluation of their hop and jump performance were concurrently and independently examined using force plates and the MyJump app. Diagnostic accuracy of MyJump was compared to reference force plate analyses using a criterion of 90% limb symmetry.
Diagnostic accuracy of the MyJump app was very good: positive predictive value for jump height was 0.83 and 1.0 for reactive strength index, and negative predictive value was 0.95 and 1.0 for the same metrics, respectively. Of the 131 classifications made using the MyJump app, there were five false positives and three false negatives - all of these were in classification of jump height with no misclassifications of RSI. Irrespective of jump type, the MyJump app displayed excellent reliability (ICC>0.95) for both height and reactive strength index. Minimum detectable changes were approximately 1cm for height, 0.1 for reactive strength index, 0.02s for contact time, and 0.3s for flight time.
Where force plates are unavailable, the MyJump app is a valid and reliable substitute for criteria assessment of jump/hop height and reactive strength index in those recovering from ACL surgery using a 90% limb symmetry threshold. The minimum detectable changes vary by metric but are likely sufficiently accurate to detect clinical changes.
Level 3.
跳跃测试表现和肢体对称性指标是临床医生在交叉韧带重建术后康复过程中进行监测的重要指标，然而它们需要硬件和软件，而这些在临床实践中并不常见。基于视频的解决方案可能是一种可行的替代方法，但它们在使用90%肢体对称性对患者进行分类时的准确性尚未得到证实，而且在该人群中也未报告这些性能指标的临床测量值。
描述一款基于iPad的应用程序（“MyJump”）与参考测力板分析相比，在肢体对称性、跳跃/单脚跳高度、接触时间、飞行时间和反应力量指数方面的诊断准确性（使用90%的下肢对称性指数进行通过/失败判断）和临床测量指标。
前瞻性队列研究，诊断准确性研究。
对51例连续接受前交叉韧带重建手术并正在进行常规独立临床跳跃性能评估的患者，同时使用测力板和MyJump应用程序进行独立检查。将MyJump的诊断准确性与参考测力板分析进行比较，使用90%肢体对称性标准。
MyJump应用程序的诊断准确性非常好：跳跃高度的阳性预测值为0.83，反应力量指数为1.0，相同指标的阴性预测值分别为0.95和1.0。在使用MyJump应用程序进行的131次分类中，有5例假阳性和3例假阴性——所有这些都出现在跳跃高度的分类中，反应力量指数没有错误分类。无论跳跃类型如何，MyJump应用程序在高度和反应力量指数方面均显示出出色的可靠性（组内相关系数>0.95）。最小可检测变化约为：高度1厘米、反应力量指数0.1、接触时间0.02秒、飞行时间0.3秒。
在没有测力板的情况下，MyJump应用程序是一种有效且可靠的替代方法，可用于使用90%肢体对称性阈值对前交叉韧带手术后康复患者的跳跃/单脚跳高度和反应力量指数进行标准评估。最小可检测变化因指标而异，但可能足够准确以检测临床变化。
3级。
