Physical Education and Physical Therapy Department, Vrije Universiteit Brussel, Brussels, Belgium.
Clin J Sport Med. 2012 May;22(3):228-33. doi: 10.1097/JSM.0b013e31824a5761.
To determine whether the multiple hop test should be used as an evaluative or a discriminative instrument for chronic ankle instability (CAI).
Blinded case-control study.
: University research laboratory.
Twenty-nine healthy subjects (21 men, 8 women, mean age 21.8 years) and 29 patients with CAI (17 men, 12 women, mean age 24.9 years) were selected.
Subjects performed a multiple hop test and hopped on 10 different tape markers while trying to avoid any postural correction.
Minimal detectable changes (MDC) of the number of balance errors, the time value, and the visual analog scale (VAS) score (perceived difficulty) were calculated as evaluative measures. For the discriminative properties, a receiver operating characteristic curve was determined and the area under curve (AUC), the sensitivity, specificity, diagnostic accuracy (DA), and likelihood ratios (LR) were calculated whether 1, 2, or 3 outcomes were positive.
Based on their MDC, outcomes should, respectively, change by more than 7 errors (41%), 6 seconds (15%), and 27 mm (55%, VAS score) before considering it as a real change. Area under curves were, respectively, 79% (errors), 77% (time value), and 65% (VAS score). The most optimal cutoff point was, respectively, 13.5 errors, 35 seconds, and 32.5 mm. When 2 of 3 outcomes were positive, the sensitivity was 86%, the specificity was 79%, the DA was 83%, the positive LR was 4.2, and the negative LR was 0.17.
The multiple hop test seems to be more a discriminative instrument for CAI, and its responsiveness needs to be demonstrated.
确定多重跳跃测试是否应作为慢性踝关节不稳定(CAI)的评估或鉴别工具。
盲法病例对照研究。
大学研究实验室。
选择了 29 名健康受试者(21 名男性,8 名女性,平均年龄 21.8 岁)和 29 名 CAI 患者(17 名男性,12 名女性,平均年龄 24.9 岁)。
受试者进行了多次跳跃测试,并在尝试避免任何姿势矫正的情况下在 10 个不同的胶带标记上跳跃。
计算了平衡误差数量、时间值和视觉模拟量表(VAS)评分(感知难度)的最小可检测变化(MDC),作为评估指标。对于鉴别特性,确定了受试者工作特征曲线,并计算了曲线下面积(AUC)、敏感性、特异性、诊断准确性(DA)和阳性结果的比值比(LR),分别为 1、2 或 3 个结果为阳性。
基于其 MDC,结果分别应增加超过 7 个错误(41%)、6 秒(15%)和 27 毫米(55%,VAS 评分),然后才能认为这是真正的变化。AUC 分别为 79%(错误)、77%(时间值)和 65%(VAS 评分)。最佳截断点分别为 13.5 个错误、35 秒和 32.5 毫米。当 3 个结果中的 2 个为阳性时,敏感性为 86%,特异性为 79%,DA 为 83%,阳性 LR 为 4.2,阴性 LR 为 0.17。
多重跳跃测试似乎更像是 CAI 的鉴别工具,其反应性需要进一步证明。