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基于复发性外侧髌股脱位个体危险因素的多变量模型的建立。

Development of a Multivariable Model Based on Individual Risk Factors for Recurrent Lateral Patellar Dislocation.

机构信息

Hospital for Special Surgery, New York, NY.

Weill Cornell Medical College, New York, NY.

出版信息

J Bone Joint Surg Am. 2021 Apr 7;103(7):586-592. doi: 10.2106/JBJS.20.00020.

Abstract

BACKGROUND

Nonoperative treatment after first-time patellar dislocation is the standard of care. There is evidence that certain patients may be at high risk for recurrent instability. The aim of this study was to develop a multivariable model to guide management of patients based on their individual risk of recurrent dislocation.

METHODS

A multivariable model was developed using 291 patients from 4 institutions to identify which patients were at higher risk for recurrent patellar dislocation within 2 years. This model was informed by a univariable logistic regression model developed to test factors based on the patient's history, physical examination, and imaging. The discriminatory ability of the model to classify who will or will not have a recurrent dislocation was measured using the area under the receiver operating characteristic curve (AUC).

RESULTS

Age, a history of a contralateral patellar dislocation, skeletal immaturity, lateral patellar tilt, tibial tubercle-trochlear groove (TT-TG) distance, Insall-Salvati ratio, and trochlear dysplasia were the most important factors for recurrent patellar dislocation. Sex, mechanism of injury, Caton-Deschamps ratio, sulcus angle, inclination angle, and facet ratio were not factors for recurrent dislocation. The overall AUC for the multivariable model was 71% (95% confidence interval [CI]: 64.7% to 76.6%).

CONCLUSIONS

Optimizing the management of lateral patellar dislocation will improve short-term disability from the dislocation and reduce the long-term risk of patellofemoral arthritis from repeated chondral injury. This multivariable model can identify patients who are at high risk for recurrent dislocation and would be good candidates for early operative treatment. Further validation of this model in a prospective cohort of patients will inform whether it can be used to determine the optimal treatment plan for patients presenting with an initial patellar dislocation. Until validation of the model is done with new patients, it should not be used in clinical practice.

LEVEL OF EVIDENCE

Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

摘要

背景

初次髌骨脱位后进行非手术治疗是标准治疗方法。有证据表明,某些患者可能存在复发性不稳定的高风险。本研究旨在建立一个多变量模型,根据患者的复发性脱位风险,为他们制定个体化的管理方案。

方法

使用来自 4 家机构的 291 名患者,建立一个多变量模型,以确定哪些患者在 2 年内有更高的复发性髌骨脱位风险。该模型基于患者的病史、体格检查和影像学检查,通过单变量逻辑回归模型进行了因素测试。通过接受者操作特征曲线(ROC)下面积(AUC)来衡量模型区分谁会或不会发生复发性脱位的能力。

结果

年龄、对侧髌骨脱位史、骨骼未成熟、外侧髌骨倾斜、胫骨结节-滑车沟(TT-TG)距离、Insall-Salvati 比值和滑车发育不良是复发性髌骨脱位最重要的因素。性别、损伤机制、Caton-Deschamps 比值、滑车沟角、倾斜角和滑车面比不是复发性脱位的因素。多变量模型的总体 AUC 为 71%(95%置信区间[CI]:64.7%至 76.6%)。

结论

优化外侧髌骨脱位的管理将减少脱位引起的短期残疾,并降低因反复软骨损伤导致髌股关节炎的长期风险。这种多变量模型可以识别出复发性脱位风险高的患者,这些患者是早期手术治疗的良好候选者。在一个前瞻性的初次髌骨脱位患者队列中对该模型进行进一步验证,将确定其是否可以用于确定患者的最佳治疗方案。在对新患者进行模型验证之前,不应在临床实践中使用该模型。

证据水平

预后 III 级。有关证据水平的完整描述,请参见作者说明。

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