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

医学 髌股内侧韧带 射线照相术 接收机工作特性 不稳定性 外科 口腔正畸科 髌骨 内科学 机械 物理
作者
Si Heng Sharon Tan,Kasia Chen Xi Chua,Lincoln Kai Pheng Yeo,Liang Shen,Andrew Kean Seng Lim,James Hoi Po Hui
出处
期刊:Journal of Pediatric Orthopaedics [Lippincott Williams & Wilkins]
卷期号:42 (8): e839-e846 被引量:5
标识
DOI:10.1097/bpo.0000000000002203
摘要

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.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.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.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.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
韦恩完成签到,获得积分10
1秒前
ACBIOS发布了新的文献求助10
1秒前
1秒前
joshuji完成签到,获得积分10
1秒前
AliceLan完成签到,获得积分10
1秒前
jhlz5879完成签到,获得积分10
2秒前
刘帅完成签到,获得积分10
2秒前
kyf1993发布了新的文献求助10
2秒前
Orange的应助被Solar_Parsifal采纳,获得10
3秒前
唐唐发布了新的文献求助10
4秒前
十三完成签到 ,获得积分10
5秒前
6秒前
小蘑菇的应助被科研通管家采纳,获得10
6秒前
6秒前
星辰大海的应助被科研通管家采纳,获得10
6秒前
领导范儿的应助被科研通管家采纳,获得10
6秒前
6秒前
完美世界的应助被科研通管家采纳,获得10
7秒前
ding的应助被科研通管家采纳,获得10
7秒前
科研通AI6.2的应助被joshuji采纳,获得10
7秒前
英姑的应助被科研通管家采纳,获得10
7秒前
7秒前
星辰大海的应助被科研通管家采纳,获得10
7秒前
科研小白一枚完成签到,获得积分10
7秒前
9秒前
毕业毕业完成签到,获得积分10
11秒前
细腻的雅山完成签到 ,获得积分10
11秒前
12秒前
13秒前
戴维少尉发布了新的文献求助10
13秒前
kyf1993完成签到,获得积分10
14秒前
科研通AI6.2的应助被蕊蕊采纳,获得10
15秒前
长情如南发布了新的文献求助10
16秒前
Ava的应助被跳跃静蕾采纳,获得10
16秒前
17秒前
18秒前
18秒前
安小安完成签到,获得积分10
18秒前
WTT完成签到 ,获得积分10
19秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
拉伸高分子熔体中缠结行为的模拟和小角中子散射研究 1080
Encyclopedia of Modern Artificial Intelligence 1000
Особенности технологий и методов информационно-психологических войн СССР с Великобританией и США в период 1939-1953 гг 1000
Das Matthäusevangelium: Kapitel 1:1–17 1000
Analyses de reconnaissances de dettes passées devant les échevins d'Ypres (1249-1291) 600
Cellulose and Cellulose Derivatives: Synthesis, Modification and Applications 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8143613
求助须知:如何正确求助?哪些是违规求助? 9542991
关于积分的说明 21655250
捐赠科研通 7729061
什么是DOI,文献DOI怎么找? 3422108
关于科研通互助平台的介绍 2547421
邀请新用户注册赠送积分活动 2464908