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手握测力法能否预测肩袖撕裂的大小?一项对 2100 例连续患者的研究。

Can handheld dynamometry predict rotator cuff tear size? A study in 2100 consecutive patients.

机构信息

Orthopaedic Research Institute, St George Hospital Campus, University of New South Wales, Sydney, NSW, Australia.

Orthopaedic Research Institute, St George Hospital Campus, University of New South Wales, Sydney, NSW, Australia.

出版信息

J Shoulder Elbow Surg. 2020 Jun;29(6):1152-1161. doi: 10.1016/j.jse.2019.07.028. Epub 2019 Sep 26.

Abstract

BACKGROUND

This study aimed to determine whether handheld dynamometry measurements could predict rotator cuff tear size in patients who required surgical treatment of their shoulder pathology.

METHODS

Handheld dynamometer readings were collected prior to surgery and analyzed retrospectively for 2100 consecutive patients. Post hoc, the cohort was divided into patients with rotator cuff tears (n = 1747) and those without rotator cuff tears (n = 353). The tear group was stratified into partial- vs. full-thickness tears and into 4 groups based on tear size area.

RESULTS

Patients with partial-thickness tears had greater internal rotation (P = .03), external rotation (P < .001), and supraspinatus (P < .001) strength than patients with full-thickness tears. Patients with tears had lower supraspinatus strength than patients without tears (r = -0.82, P < .001). Patients with a larger tear size had lower values of external rotation (r = -1.46, P < .001) and supraspinatus (r = -1.18, P < .001) strength. A model involving internal rotation and supraspinatus strength could predict the presence of a tear with a sensitivity of 82% and specificity of 29%. The correct prediction rate was 73% overall (82% in tear group and 29% in no-tear group). The following formula was found to predict rotator cuff tear size, showing modest correlation with our raw data (r = 0.25, P < .001): Tear size = 482.8 + (3.9 × Internal rotation strength) + (1.6 × Adduction strength) - (7.2 × External rotation strength) - (2.0 × Supraspinatus strength).

CONCLUSIONS

Handheld dynamometer readings could not reliably predict rotator cuff tear size, showing only modest correlation with our raw data. Handheld dynamometry readings could predict the presence of a tear, although tears in the intact cohort were overestimated (a specificity of 29% and negative predictive value of 25%).

摘要

背景

本研究旨在确定手握测力仪测量值是否可用于预测需要手术治疗肩部病变的患者肩袖撕裂的大小。

方法

在手术前收集手握测力仪读数,并对 2100 例连续患者进行回顾性分析。之后,将队列分为肩袖撕裂患者(n = 1747)和无肩袖撕裂患者(n = 353)。撕裂组分为部分厚度撕裂和全厚度撕裂,并根据撕裂面积分为 4 组。

结果

部分厚度撕裂患者的内旋(P =.03)、外旋(P <.001)和冈上肌力量(P <.001)均大于全厚度撕裂患者。有撕裂的患者的冈上肌力量低于无撕裂的患者(r = -0.82,P <.001)。撕裂较大的患者的外旋(r = -1.46,P <.001)和冈上肌力量(r = -1.18,P <.001)值较低。涉及内旋和冈上肌力量的模型可预测撕裂的存在,其敏感性为 82%,特异性为 29%。总体正确预测率为 73%(撕裂组为 82%,无撕裂组为 29%)。发现以下公式可预测肩袖撕裂大小,与我们的原始数据具有适度相关性(r = 0.25,P <.001):撕裂大小 = 482.8 +(3.9 × 内旋力量)+(1.6 × 内收力量)-(7.2 × 外旋力量)-(2.0 × 冈上肌力量)。

结论

手握测力仪读数不能可靠地预测肩袖撕裂的大小,与我们的原始数据相关性仅为中度。手握测力仪读数可以预测撕裂的存在,尽管在完整的队列中撕裂被高估(特异性为 29%,阴性预测值为 25%)。

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