University of Kentucky Department of Orthopaedic Surgery & Sports Medicine, Lexington, Kentucky, U.S.A..
University of Kentucky Department of Orthopaedic Surgery & Sports Medicine, Lexington, Kentucky, U.S.A.
Arthroscopy. 2021 Jun;37(6):1740-1744. doi: 10.1016/j.arthro.2021.01.007. Epub 2021 Jan 15.
To identify factors predictive of a large labral tear at the time of shoulder instability surgery.
As part of the Multicenter Orthopaedic Outcomes Network (MOON) Shoulder Instability cohort, patients undergoing open or arthroscopic shoulder instability surgery for a labral tear were evaluated. Patients with >270° tears were defined as having large labral tears. To build a predictive logistic regression model for large tears, the Feasible Solutions Algorithm was used to add significant interaction effects.
After applying exclusion criteria, 1235 patients were available for analysis. There were 222 females (18.0%) and 1013 males (82.0%) in the cohort, with an average age of 24.7 years (range 12 to 66). The prevalence of large tears was 4.6% (n = 57), with the average tear size being 141.9°. Males accounted for significantly more of the large tears seen in the cohort (94.7%, P = .01). Racquet sports (P = .01), swimming (P = .02), softball (P = .05), skiing (P = .04), and golf (P = .04) were all associated with large labral tears, as was a higher Western Ontario Shoulder Instability Index (WOSI; P = .01). Age, race, history of dislocation, and injury during sport were not associated with having a larger tear. Using our predictive logistic regression model for large tears, patients with a larger body mass index (BMI) who played contact sports were also more likely to have large tears (P = .007).
Multiple factors were identified as being associated with large labral tears at the time of surgery, including male sex, preoperative WOSI score, and participation in certain sports including racquet sports, softball, skiing, swimming, and golf.
I, prognostic study.
确定肩不稳定手术时出现大盂唇撕裂的预测因素。
作为多中心骨科结局网络(MOON)肩不稳定队列的一部分,对接受盂唇撕裂的开放式或关节镜下肩不稳定手术的患者进行评估。将>270°撕裂的患者定义为大盂唇撕裂。为了建立大撕裂的预测逻辑回归模型,使用可行解算法添加显著的交互作用效应。
应用排除标准后,共有 1235 例患者可用于分析。队列中女性 222 例(18.0%),男性 1013 例(82.0%),平均年龄 24.7 岁(12~66 岁)。大撕裂的患病率为 4.6%(n=57),平均撕裂大小为 141.9°。男性在队列中占比明显更高(94.7%,P=0.01)。球拍运动(P=0.01)、游泳(P=0.02)、垒球(P=0.05)、滑雪(P=0.04)和高尔夫(P=0.04)与大盂唇撕裂有关,Western Ontario 肩不稳定指数(WOSI)较高也与大盂唇撕裂有关(P=0.01)。年龄、种族、脱位史和运动中受伤与撕裂程度较大无关。使用我们的大撕裂预测逻辑回归模型,从事接触运动且体重指数(BMI)较大的患者也更有可能出现大撕裂(P=0.007)。
多种因素与手术时的大盂唇撕裂有关,包括男性、术前 WOSI 评分以及参与某些运动,包括球拍运动、垒球、滑雪、游泳和高尔夫。
I,预后研究。