Affiliated Hospital of ChengDu University.
Chengdu First people's Hospital.
Medicine (Baltimore). 2021 Mar 26;100(12):e25274. doi: 10.1097/MD.0000000000025274.
To investigate the influencing factors of fracture nonunion after intramedullary nailing for subtrochanteric fractures and to construct a risk assessment model.Based on the multicenter retrospective analysis of 251 patients, all patients were divided into modeling group and verification group. In the modeling group, postoperative fracture nonunion rate, general data, fracture-related factors, surgical reduction-related factors, mechanical and biological factors were calculated, and the influencing factors of fracture nonunion were screened by univariate analysis. Logistic regression model was used for multifactor analysis to construct the risk assessment model. Based on the logistic regression model, the risk prediction model was constructed by drawing the Nomogram diagram. Through the verification group, the influencing factors were evaluated again, and the differentiation and calibration of the model were evaluated. The calibration degree was evaluated by Hosmer-Lemeshow test, goodness of fit test, and calibration curve. The discriminant degree was evaluated by the receiver operating characteristic curve.Fracture nonunion occurred in 34 of 149 patients in the modeling group. Among the 14 potential influencing factors, univariate analysis and logistic regression analysis showed that postoperative hip varus, intramedullary nail fixation failure, and reduction of fracture with large incision were the risk factors of fracture nonunion. The medial cortex fracture was seen reduced on X-Ray was a protective factor for fracture nonunion, and a regression equation was established. Based on the logistic regression model, the Nomogram diagram is drawn. Twenty-four cases of fracture nonunion occurred in the verification group. The area under the receiver operating characteristic curve was area under curve =0.883 > 0.7, indicating that there was a moderate differentiation to evaluate the occurrence of fracture nonunion after operation. The goodness of fit test: the Hosmers-Lemeshow test (X2 = 2.921, P = .712 > .05) showed that the model had a good calibration.After intramedullary nailing of subtrochanteric fracture, hip varus, failure of intramedullary nail fixation and wide surgical dissection are the risk factors of fracture nonunion, and the postoperative reduction of medial cortex fracture is protective factor.National key research and development projects: 2016YFC0105806.
为了探讨股骨髓内钉治疗股骨转子下骨折后骨折不愈合的影响因素,并构建风险评估模型。基于对 251 例患者的多中心回顾性分析,将所有患者分为建模组和验证组。在建模组中,计算术后骨折不愈合率、一般资料、骨折相关因素、手术复位相关因素、力学和生物学因素,并通过单因素分析筛选骨折不愈合的影响因素。采用多因素分析的逻辑回归模型构建风险评估模型。基于逻辑回归模型,通过绘制诺模图构建风险预测模型。通过验证组再次评估影响因素,并对模型进行区分和校准。校准程度通过 Hosmer-Lemeshow 检验、拟合优度检验和校准曲线进行评估。判别程度通过受试者工作特征曲线进行评估。在建模组的 149 例患者中,有 34 例发生骨折不愈合。在 14 个潜在影响因素中,单因素分析和逻辑回归分析表明,术后髋内翻、髓内钉固定失败和大切口复位骨折是骨折不愈合的危险因素,内侧皮质骨折在 X 光片上被视为骨折不愈合的保护因素,并建立了回归方程。基于逻辑回归模型,绘制了诺模图。在验证组中,有 24 例发生骨折不愈合。受试者工作特征曲线下面积为曲线下面积=0.883>0.7,表明该模型对术后骨折不愈合的发生具有中度判别能力。拟合优度检验:Hosmer-Lemeshow 检验(X2=2.921,P=0.712>.05)表明模型具有良好的校准度。在股骨转子下骨折髓内钉内固定后,髋内翻、髓内钉固定失败和广泛手术解剖是骨折不愈合的危险因素,而术后内侧皮质骨折的复位是保护因素。国家重点研发计划:2016YFC0105806。