Yang Jing-lan, Chang Chein-wei, Chen Shiau-yee, Lin Jiu-jenq
Department of Physical Medicine and Rehabilitation, National Taiwan University Hospital, Taipei, Taiwan.
Man Ther. 2008 Dec;13(6):544-51. doi: 10.1016/j.math.2007.07.006. Epub 2007 Oct 2.
Physical therapy is an intervention commonly used in the treatment of subjects with frozen shoulder symptoms, with limited proven effect. The purpose of this study was to identify the kinematic features of patients with frozen shoulder who are more likely to respond to physical therapy. Thirty-four subjects presenting frozen shoulder syndrome were studied to determine altered shoulder kinematics and functional disability. Subjects received the same standardized treatment with passive mobilization/stretching techniques, physical modalities (i.e. ultrasound, shortwave diathermy and/or electrotherapy) and active exercises twice a week for 3 months. Initially, subjects were asked to perform full active motion in 3 tests: abduction in the scapular plane, hand-to-neck and hand-to-scapula. During the test, shoulder kinematics were measured using a 3-D electromagnetic motion-capturing system. In the initial and follow-up sessions, the self-reported Flexilevel Scale of Shoulder Function (FLEX-SF) was used to determine functional disability from symptoms. Improvement with treatment was determined using percent change in FLEX-SF scores over three months of treatment [(final score-initial score)/initial score x 100, >20% improvement and < = 20% nonimprovement]. Shoulder kinematics were first analysed for univariate accuracy in predicting improvement and then combined into a multivariate prediction method. A prediction method with two variables (scapular tipping >8.4 degrees during arm elevation, and external rotation >38.9 degrees during hand to neck) were identified. The presence of these two variables (positive likelihood ratio=15.71) increased the probability of improvement with treatment from 41% to 92%. It appears that shoulder kinematics may predict improvement in subjects with frozen shoulder syndrome. Prospective validation of the proposed prediction method is warranted.
物理治疗是治疗肩周炎症状患者常用的一种干预措施,但其已证实的效果有限。本研究的目的是确定更有可能对物理治疗产生反应的肩周炎患者的运动学特征。对34例肩周炎综合征患者进行研究,以确定肩部运动学改变和功能障碍情况。患者接受相同的标准化治疗,包括被动活动/拉伸技术、物理治疗手段(如超声波、短波透热疗法和/或电疗法)以及主动锻炼,每周两次,共3个月。最初,要求患者在3项测试中进行全范围主动运动:肩胛平面外展、手摸颈部和手摸肩胛。在测试过程中,使用三维电磁运动捕捉系统测量肩部运动学。在初始和随访阶段,使用自我报告的肩部功能Flexilevel量表(FLEX-SF)根据症状确定功能障碍情况。通过治疗3个月期间FLEX-SF评分的变化百分比来确定治疗效果[(最终评分-初始评分)/初始评分×100,改善>20%为改善,≤20%为未改善]。首先分析肩部运动学在预测改善情况方面的单变量准确性,然后将其纳入多变量预测方法。确定了一种包含两个变量的预测方法(手臂抬高时肩胛倾斜>8.4度,手摸颈部时外旋>38.9度)。这两个变量的存在(阳性似然比=15.71)使治疗改善的概率从41%提高到92%。看来肩部运动学可能预测肩周炎综合征患者的改善情况。所提出的预测方法有必要进行前瞻性验证。