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初次髌骨脱位后复发性髌骨不稳的预测评分。

Predictive Scoring for Recurrent Patellar Instability After a First-time Patellar Dislocation.

机构信息

Department of Orthopaedic Surgery, National University Health System, Singapore.

出版信息

J Pediatr Orthop. 2022 Sep 1;42(8):e839-e846. doi: 10.1097/BPO.0000000000002203. Epub 2022 Jul 6.

DOI:10.1097/BPO.0000000000002203
PMID:35797419
Abstract

PURPOSE

Patellofemoral instability is a common acute knee injury seen in the pediatric population. First-time patellar dislocations usually undergo conservative management, but ~15% to 80% of patients experience recurrent instability. This study aims to develop a prediction model using radiographic parameters of the patellofemoral joint seen on computed tomography scans in different degrees of knee flexion, to determine the risk of recurrence after the first episode of patellofemoral instability.

METHODS

A 12-year retrospective case-control study was performed. All patients in a single institution aged 18 years or younger who had a computed tomography patellar tracking scan performed for patellar instability were included. Predictors included in the score were determined through backward logistic regression and compared using receiver operating characteristic curve analysis.

RESULTS

This study revealed that recurrent dislocation in first-time patellofemoral dislocation could be accurately predicted using the prediction score that consisted of age, tibial tubercle-trochlear groove distance and congruence angle at 10- and 20-degree flexion. The sensitivity of the score was 100% and specificity was 73.3%. Three diagnostic zones were identified and used to categorize patients into low-, intermediate-, and high-probability groups.

CONCLUSION

This study presented a scoring system that incorporated radiographic knee kinematics in the risk assessment for recurrent patellofemoral instability for patient stratification. The scoring system could guide the decision for early surgical intervention after the first-episode patellofemoral dislocation for patients at high risk of recurrent patellofemoral dislocation.

摘要

目的

髌股关节不稳定是儿童中常见的急性膝关节损伤。初次髌骨脱位通常采用保守治疗,但约 15%至 80%的患者会出现复发性不稳定。本研究旨在利用 CT 扫描在不同膝关节屈曲度下髌股关节的影像学参数,建立一个预测模型,以确定初次髌股关节不稳定后复发的风险。

方法

进行了一项为期 12 年的回顾性病例对照研究。纳入了在单一机构中因髌股关节不稳定而接受 CT 髌股关节轨迹扫描的年龄在 18 岁或以下的所有患者。评分中纳入的预测因素通过向后逻辑回归确定,并通过接收者操作特征曲线分析进行比较。

结果

本研究表明,使用由年龄、胫骨结节-滑车沟距离和 10 度及 20 度屈曲时的吻合角组成的预测评分,可以准确预测初次髌骨脱位后的复发性脱位。该评分的敏感性为 100%,特异性为 73.3%。确定了三个诊断区,并用于将患者分为低、中、高概率组。

结论

本研究提出了一种评分系统,该系统将膝关节运动学的影像学纳入了复发性髌股关节不稳定的风险评估中,以对患者进行分层。该评分系统可以指导初次髌股关节脱位后高危复发性髌股关节脱位患者的早期手术干预决策。

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