A prediction model for osteonecrosis of femoral head after internal fixation with multiple cannulated compression screws for adult femoral neck fractures

被引:5
|
作者
Jin, Zhang [1 ]
Chen, Luo [2 ]
Wang, Dafeng [1 ]
Ye, Yayun [3 ]
Fu, Jiaxing [1 ]
Yang, Zhifan [1 ]
He, Baoqiang [4 ]
机构
[1] Wenzhou Peoples Hosp, Dept Orthoped, Wenzhou, Zhejiang, Peoples R China
[2] Zhuji Second Peoples Hosp, Dept Orthoped, Zhuji, Zhejiang, Peoples R China
[3] Wenzhou Peoples Hosp, Dept Acupuncture, Wenzhou, Zhejiang, Peoples R China
[4] Yangxian Peoples Hosp, Dept Acupuncture, Hanzhong 723300, Shaanxi, Peoples R China
来源
JOINT DISEASES AND RELATED SURGERY | 2024年 / 35卷 / 01期
关键词
Femoral head; fracture; internal fixation; osteonecrosis; prediction model;
D O I
10.52312/jdrs.2024.975
中图分类号
R826.8 [整形外科学]; R782.2 [口腔颌面部整形外科学]; R726.2 [小儿整形外科学]; R62 [整形外科学(修复外科学)];
学科分类号
摘要
Objectives: This study aims to investigate the high-risk factors for osteonecrosis of the femoral head (ONFH) after internal fixation with multiple cannulated compression screws for adult femoral neck fractures and to construct a prediction model.Patients and methods: Between from January 2012 and December 2020, a total of 268 patients (138 males, 130 females; mean age: 53 +/- 10 years; range, 23 to 70 years) with ONFH who had complete follow-up data were included. Closed reduction in combination with open reduction were performed. All patients received internal fixation with multiple cannulated compression screws and were assigned to ONFH and non-ONFH groups. Logistic regression model was utilized to identify independent risk factors for postoperative ONFH, followed by constructing a nomogram prediction model. The predictive ability of the model was evaluated by receiver operating characteristic curve, Hosmer-Lemeshow test, and calibration curve.Results: Multivariate analysis revealed that older age (odds ratio [OR]: 2.307, 95% confidence interval [CI]: 1.295-4.108], Charlson Comorbidity Index (CCI) >= 2 (OR: 2.214, 95% CI: 1.035-4.739), fracture displacement (OR: 2.426, 95% CI: 1.122-5.247), unsatisfactory reduction (OR: 2.629, 95% CI: 1.275-5.423), postoperative removal of internal fixation implant (OR: 2.200, 95% CI: 1.051-4.604) were independent risk factors for postoperative ONFH (p<0.05). The nomogram prediction model constructed based on these clinical characteristics showed high predictive value (AUC=0.807) and consistency (p>0.05).Conclusion: Age, comorbidity index, fracture type, reduction quality and postoperative removal of internal fixation implant are of utmost importance for postoperative ONFH in patients with femoral neck fractures. The established nomogram prediction model can accurately predict the occurrence of postoperative ONFH.
引用
收藏
页码:20 / 26
页数:7
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