PFNA术后稳定性评分系统及失败预测价值研究
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1.宁阳县第一人民医院;2.山东第一医科大学第二附属医院

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泰安市科技发展计划2020NS170,山东省医药卫生科技发展计划 202104070338


Propose a postoperative stability scoring system of PFNA and its value of predicting failure
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1.The First People'2.'3.s Hospital of Ningyang County;4.The Second Affiliated Hospital of Shandong First Medical University

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    摘要:

    摘要:[目的]明确股骨近端抗旋转髓内钉(PFNA)失败危险因素,基于危险因素建立PFNA术后稳定性模型,并探讨其预测价值。[方法] 回顾性分析2019年1月至2022年1月宁阳县第一人民医院股骨转子间骨折(股骨粗隆间骨折)患者的临床资料,共207例。按照一定的标准将164例患者纳入研究,记录纳入患者的人口特征及可能影响手术结果的其他因素,并进行1年的随访,研究结局为术后是否发生固定失败。采用向前逐步及似然检验筛选最佳预测模型,根据统计结果建立稳定性评分系统,以治疗结果为状态变量,得分为统计变量使用受试者工作曲线(ROC)明确分值预测失败的临界值。[结果]①外侧壁厚度、外侧壁骨折分型、股距尖顶距(Cal-TAD)、内侧皮质支撑复位情况、骨折复位质量、螺旋刀片位置是导致PFNA术后固定失败的危险因素②ROC分析结果显示:该评分系统预测固定失败的临界值为6.5,曲线下面积(AUC)为0.934,灵敏度及特异度为94.74%、73.02%。[结论]PFNA术后稳定性评分系统可对PFNA术后稳定性进行全面评估,对预测PFNA术后是否固定失败具有重要价值。

    Abstract:

    Abstract: [Objective] To identify the risk factors of proximal femoral anti-rotating intramedullary nail (PFNA) failure, establish a postoperative stability evaluation model based on the risk factors, and explore its predictive value. [Methods] : Clinical data of 207 patients with intertrochanteric fracture (intertrochanteric fracture of femur) in the First People's Hospital of Ningyang County from January 2019 to January 2022 were retrospectively analyzed. A total of 164 patients were included according to certain criteria. The demographic characteristics of the patients and other factors that might influence the outcome of surgery were recorded, and the outcome of the study was whether fixation failure occurred after surgery. The best prediction model was tested by step forward likelihood ratio test, and a stability scoring system was established according to the statistical results. The cut-off of score prediction failure was determined by receiver operating curve (ROC) with treatment outcome as state variable and score as statistical variable. [Results]① Lateral wall thickness, lateral wall fracture classification, Cal-TAD, medial cortical brace reduction, fracture reduction quality and spiral blade position were the risk factors for postoperative fixation failure of PFNA. ②ROC analysis results showed that: The cut-off of fixed failure prediction, area under curve (AUC), sensitivity and specificity were 6.5, 0.934, 94.74% and 73.02%. [Conclusion] The PFNA postoperative stability scoring system can comprehensively evaluate the postoperative stability of PFNA, and has important value in predicting the failure of postoperative fixation of PFNA.

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  • 收稿日期:2023-01-31
  • 最后修改日期:2023-04-15
  • 录用日期:2023-08-04
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