Research and Development, Shoulder and Elbow Surgery, Schulthess Clinic, Zurich, Switzerland.
Basel Institute for Clinical Epidemiology and Biostatistics, University Hospital Basel, Basel, Switzerland.
Am J Sports Med. 2021 Sep;49(11):3030-3039. doi: 10.1177/03635465211028980. Epub 2021 Jul 26.
Postoperative shoulder stiffness (POSS) is a prevalent adverse event after arthroscopic rotator cuff repair (ARCR) that is associated with major limitations in everyday activities and prolonged rehabilitation.
PURPOSE/HYPOTHESIS: The purpose was to develop a predictive model for determining the risk of POSS within 6 months after primary ARCR. We hypothesized that sufficient discrimination ability of such a model could be achieved using a local institutional database.
Case-control study; Level of evidence, 3.
Consecutive primary ARCRs documented in a local clinical registry between 2013 and 2017 were included, and patients who experienced POSS before the final clinical 6-month follow-up were identified. A total of 29 prognostic factor candidates were considered, including patient-related factors (n = 7), disease-related factors (n = 9), rotator cuff integrity factors (n = 6), and operative details (n = 7). We used imputed data for the primary analysis, and a sensitivity analysis was conducted using complete case data. Logistic regression was applied to develop a model based on clinical relevance and statistical criteria. To avoid overfitting in the multivariable model, highly correlated predictors were not included together in any model. A final prognostic model with a maximum of 8 prognostic factors was considered. The model's predictive accuracy was assessed by the area under the receiver operating characteristic curve (AUC). Internal validation was performed using bootstrapping.
Of 1330 ARCR cases (N = 1330 patients), 112 (8.4%) patients had POSS. Our final model had a moderate predictive ability with an AUC of 0.67. The predicted risks of POSS ranged from 2.3% to 38.9% and were significantly higher in women; patients with partial tears, low baseline passive shoulder abduction, and lack of tendon degeneration; and when no acromioplasty was performed.
A prognostic model for POSS was developed for patients with ARCR, offering a personalized risk evaluation to support the future decision process for surgery and rehabilitation.
关节镜下肩袖修复术后(ARCR)后发生肩部僵硬(POSS)是一种常见的不良事件,会导致日常活动受限,康复时间延长。
目的/假设:目的是建立一个预测模型,以确定 ARCR 术后 6 个月内发生 POSS 的风险。我们假设使用本地机构数据库可以实现该模型的充分区分能力。
病例对照研究;证据等级,3 级。
纳入 2013 年至 2017 年期间在本地临床注册中心记录的连续 ARCR 病例,确定在最终临床 6 个月随访前发生 POSS 的患者。共考虑了 29 个预后因素候选者,包括患者相关因素(n = 7)、疾病相关因素(n = 9)、肩袖完整性因素(n = 6)和手术细节(n = 7)。我们使用插补数据进行主要分析,并使用完整病例数据进行敏感性分析。应用逻辑回归根据临床相关性和统计学标准建立模型。为避免多变量模型中的过度拟合,任何模型中均不包含高度相关的预测因子。考虑了一个最终的预后模型,其中包含最多 8 个预后因素。通过接受者操作特征曲线(AUC)下的面积评估模型的预测准确性。使用自举法进行内部验证。
在 1330 例 ARCR 病例(N = 1330 例患者)中,112 例(8.4%)患者发生 POSS。我们的最终模型具有中等预测能力,AUC 为 0.67。POSS 的预测风险范围为 2.3%至 38.9%,女性风险显著更高;有部分撕裂、基线时被动肩关节外展度较低和无肌腱退变的患者;以及未行肩峰成形术的患者。
为 ARCR 患者开发了 POSS 的预测模型,提供了个性化的风险评估,以支持未来的手术和康复决策过程。