Program in Physical Therapy, Washington University School of Medicine, St. Louis, Missouri, USA.
Bone and Joint Center, Department of Orthopaedic Surgery, Henry Ford Health, Detroit, Michigan, USA.
J Orthop Res. 2024 Mar;42(3):578-587. doi: 10.1002/jor.25699. Epub 2023 Oct 16.
The purpose of this study was to develop a multivariable model to determine the extent to which a combination of etiological factors is associated with supraspinatus tendon tears. Fifty-four asymptomatic individuals (55 ± 4 years) underwent testing of their dominant shoulder. Diagnostic ultrasound was used to assess for a supraspinatus tendon tear. The etiological factors investigated included demographics (age and sex), tendon impingement during shoulder motion (via biplane videoradiography), glenohumeral morphology (via computed tomography imaging), family history of a tear (via self-report), occupational shoulder exposure (via shoulder job exposure matrix), and athletic exposure (via self-report). Univariate relationships between etiological predictors and supraspinatus tears were assessed using logistic regression and odds ratios (ORs), while multivariable relationships were assessed using classification and regression tree analysis. Thirteen participants (24.1%) had evidence of a supraspinatus tear. Individuals with a tear had a higher critical shoulder angle (OR 1.2, p = 0.028) and acromial index (OR 1.2, p = 0.016) than individuals without a tear. The multivariable model suggested that a tear in this cohort can be explained with acceptable accuracy (AUROC = 0.731) by the interaction between acromial index and shoulder occupational exposure: a tear is more likely in individuals with a high acromial index (p < 0.001), and in individuals with a low acromial index and high occupational exposure (p < 0.001). The combination of an individual's glenohumeral morphology (acromial index) and occupational shoulder exposure may be important in the development of supraspinatus tears.
本研究旨在建立一个多变量模型,以确定多种病因因素组合与冈上肌腱撕裂的相关性程度。54 名无症状个体(55±4 岁)接受了其优势肩的测试。使用诊断超声评估冈上肌腱撕裂。研究的病因因素包括:人口统计学因素(年龄和性别)、肩运动时的肌腱撞击(通过双平面视频射线照相术)、肩盂肱形态(通过计算机断层成像)、撕裂的家族史(通过自我报告)、职业性肩部暴露(通过肩部工作暴露矩阵)和运动暴露(通过自我报告)。使用逻辑回归和比值比(OR)评估病因预测因子与冈上肌腱撕裂之间的单变量关系,而使用分类和回归树分析评估多变量关系。13 名参与者(24.1%)有冈上肌腱撕裂的证据。有撕裂的个体的临界肩角(OR 1.2,p=0.028)和肩峰指数(OR 1.2,p=0.016)高于没有撕裂的个体。多变量模型表明,该队列中的撕裂可以通过肩峰指数和肩部职业暴露之间的相互作用以可接受的准确性(AUROC=0.731)来解释:在肩峰指数高的个体中,撕裂更有可能发生(p<0.001),在肩峰指数低且职业暴露高的个体中,撕裂更有可能发生(p<0.001)。个体的肩盂肱形态(肩峰指数)和职业性肩部暴露的组合可能在冈上肌腱撕裂的发展中很重要。