Risk factors for knee injury complicated with adolescent tibial tubercle fractures
10.3760/cma.j.cn115530-20250602-00236
- VernacularTitle:青少年膝关节损伤伴发胫骨结节骨折的危险因素分析
- Author:
Qingshuang ZHANG
1
;
Jinchen CHEN
;
Linkun WU
;
Yuancheng PAN
;
Song CHEN
;
Ran LIN
;
Shunyou CHEN
Author Information
1. 福州市第二总医院小儿骨科，福州 350007
- Publication Type:Journal Article
- Keywords:
Adolescent;
Tibial fractures;
Risk factors;
Knee joint;
Osgood-Schlatter disease
- From:
Chinese Journal of Orthopaedic Trauma
2025;27(8):695-701
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To systematically analyze the risk factors for knee injury complicated with adolescent tibial tubercle fractures (ATTF).Methods:A retrospective study was conducted to analyze the clinical data of the 90 adolescent patients (the observation group) who had been treated and fully followed up for knee injury complicated with ATTF at Department of Pediatric Orthopedics, The Second General Hospital of Fuzhou from September 2017 to April 2024. There were 86 males and 4 females, with a mean age of 14.0 (13.0, 14.0) years. The injury was on the left side in 51 cases, on the right side in 34 ones, and on the bilateral sides in 5 ones. All their injuries resulted from sports activities. In addition, another contemporary 90 patients with knee injury but no exercise-induced ATTF were enrolled as the control group, including 54 males and 36 females with a mean age of 14.0 (13.0, 14.3) years. Their injury was on the left side in 45 cases, on the right side in 41 ones, and on the bilateral sides in 4 ones. Univariate analysis was conducted to compare gender, age, injury side, height, weight, body mass index, history of Osgood-Schlatter disease (OSD), and injury mechanism between the 2 groups. Variables with P<0.1 were included in a multivariate logistic regression analysis to screen independent risk factors for ATTF. The receiver operating characteristic (ROC) curve was used to evaluate their predictive values. The optimal cutoff value was determined by Youden index. Results:The univariate analysis showed that gender, height, weight, body mass index, and OSD history were significantly correlated with the occurrence of ATTF ( P<0.05). The multivariate logistic regression analysis further confirmed that male ( P=0.017), height ( P=0.021), weight ( P=0.014), body mass index ( P=0.032) and history of OSD ( P=0.003) were independent risk factors for ATTF. The ROC curve analysis showed that weight had the largest area under the curve (AUC) in prediction of the ATTF risk, suggesting that its predictive value was the most significant. Conclusion:Male, height, weight, body mass index, and prior OSD are independent risk factors for ATTF, with the highest predictive value in weight.
