Risk Factors for Periprosthetic Femoral Fractures After Cementless Total Hip Arthroplasty

被引:1
作者
Li, Junwei [1 ]
Zhang, Min [1 ]
Yao, Jie [1 ]
Shao, Long [2 ]
Fang, Chaohua [3 ,4 ]
Cheng, Cheng-Kung [5 ]
机构
[1] Beihang Univ, Beijing Adv Innovat Ctr Biomed Engn, Sch Biol Sci & Med Engn, Key Lab Biomech & Mechanobiol,Minist Educ, Beijing, Peoples R China
[2] Hosp Ningbo 6, Dept Joint Surg, Zhejiang, Peoples R China
[3] Shanghai Jiao Tong Univ, Shanghai Gen Hosp, Sch Med, Dept Sports Med, Shanghai, Peoples R China
[4] Bengbu Med Univ, Bengbu Hosp Shanghai Gen Hosp, Affiliated Hosp 2, Dept Orthoped, Anhui, Peoples R China
[5] Shanghai Jiao Tong Univ, Res Ctr Digital Med, Sch Biomed Engn & Engn, Minist Educ, Shanghai, Peoples R China
关键词
periprosthetic femoral facture cementless; total hip arthroplasty; canal flare index; canal bone ratio; canal calcar ratio; STEM; FEMUR; COMPONENT; FAILURE; EPIDEMIOLOGY; MORTALITY; FIXATION; REVISION; SURGERY; DESIGN;
D O I
10.1016/j.arth.2024.06.005
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
Background: The present study aimed to identify the risk factors of periprosthetic femoral fracture (PFF) after cementless total hip arthroplasty and rank them based on importance. Methods: The age, sex, body mass index (BMI), osteoporosis, canal flare index (CFI), canal bone ratio (CBR), canal calcar ratio (CCR), stem design, and stem canal fill ratio (P1, P2, P3, and P4) of the proximal femoral medullary cavity of 111 total hip arthroplasty patients who had PFF and 388 who did not have PFF were analyzed. Independent-samples student t-tests were used for continuous variables, and Chi-- square tests were used for categorical variables. The importance rankings of influencing factors were assessed using a random forest algorithm. Dimensionally reduced variables were then incorporated into a binary logistic regression model to determine the PFF-related risk factors. Results: The mean age, BMI, CBR, CCR, and incidence of osteoporosis were higher in cases of PFF (all P < .001), while the mean CFI, P1, P2, P3, and P4 were lower in cases of PFF (P P < .001, P = .033, P = .008, P < .001, and P < .001, respectively). Additionally, the stem design was also statistically associated with PFF (P P < .001). Multivariate logistic regression revealed that advanced age, higher BMI, osteoporosis, stem design, lower CFI, higher CBR, higher CCR, lower P1, lower P2, lower P3, and lower P4 were the risk factors of PFF (P P < .001, P < .001, P < .001, P < .001, P < .001, P = .010, P < .001, P = .002, P < .001, P < .001, and P = .007, respectively). The ranked importance of the risk factors for PFF was P3, CFI, osteoporosis, CBR, age, P4, P1, stem design, CCR, BMI, and P2. Conclusions: Lower P3, lower CFI, osteoporosis, higher CBR, advanced age, lower P4, lower P1, stem design, higher CCR, higher BMI, and lower P2 increased the risk of PFF. (c) 2024 The Authors. Published by Elsevier Inc.
引用
收藏
页码:2547 / 2554
页数:8
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