YANG Yang,ZHANG Jianguo,WANG Shengru.Risk factors for implant-related complications in congenital early-onset scoliosis patients treated with traditional dual growing rods[J].Chinese Journal of Spine and Spinal Cord,2021,(5):402-407.
Risk factors for implant-related complications in congenital early-onset scoliosis patients treated with traditional dual growing rods
Received:March 02, 2021  Revised:April 29, 2021
English Keywords:Congenital early-onset scoliosis  Traditional dual growing rods  Implant-related complications  Risk factors  Logistic regression analysis
Fund:国家自然科学基金(No. 81972037,81902178)
Author NameAffiliation
YANG Yang Department of Orthopedics, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Science, Beijing, 100730, China 
ZHANG Jianguo 中国医学科学院 北京协和医学院 北京协和医院骨科 100730 北京市 
WANG Shengru 中国医学科学院 北京协和医学院 北京协和医院骨科 100730 北京市 
沈建雄  
邱贵兴  
王以朋  
赵 宏  
赵 宇  
李书纲  
林莞锋  
杜 悠  
粟 喆  
叶笑寒  
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English Abstract:
  【Abstract】 Objectives: To identify risk factors for implant-related complications(IRCs) in congenital early-onset scoliosis(CEOS) patients treated with traditional dual growing rods(TDGR). Methods: Data of CEOS patients treated with TDGR were retrospectively reviewed. All patients received more than 2 lengthening procedures with a minimum of 2-year follow-up. Patients were divided into complication group and non-complication group. Clinical data of all patients, including age, number of lengthening procedures, lengthening intervals, duration of follow-up, implant-related complications, and radiographic measurements were collected. The univariate analysis and multivariate logistic regression analysis were performed to identify the risk factors associated with IRCs. Results: Among the 48 patients enrolled, 23 (47.9%) patients suffered 49 IRCs, including 15 cases of hook dislodgement, 12 cases of screw dislodgement, 8 cases of rod breakage, 2 cases of cap loosing, 12 cases of proximal junctional kyphosis. The univariate Logistic regression analysis revealed preoperative T5-12 kyphosis ≥40° and T10-L2 kyphosis ≥10° were significant risk factors (P<0.05). Multivariable Logistic regression analysis demonstrated that preoperative T10-L2 kyphosis ≥10° [OR 4.12, 95%CI (1.20-14.14), P=0.025] was independent risk factor of IRCs. Conclusions: Preoperative T10-L2 kyphosis ≥10° is independent risk factor for IRCs. Identification and proper correction of relevant spinal deformity may reduce IRCs incidence.
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