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基于列线图的全髋关节置换术后发生髋关节脱位预测模型的构建

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目的 分析全髋关节置换术(THA)患者术后发生髋关节脱位的风险,并基于列线图构建髋关节脱位的预测模型.方法 选取2022年1月至2023年11月医院收治的180例THA患者作为研究对象,根据患者术后是否发生髋关节脱位,将其分为脱位组与未脱位组.以单因素和多因素Logistic回归分析THA患者术后发生髋关节脱位的危险因素,并以此构建THA患者术后发生髋关节脱位的预测模型.采用受试者工作特征(ROC)曲线评估预测模型的区分度,采用Hosmer-Lemeshow拟合优度法评估预测模型的校准度,采用临床决策曲线(DCA)评估预测模型的临床适用度.结果 180例THA患者中发生术后髋关节脱位28例,发生率为15.56%.单因素分析结果显示,脱位组与未脱位组的年龄、髋关节手术史、假体直径、假体放置位置、术后体位控制及手术入路差异有统计学意义(P<0.05);多因素Logistic回归分析结果显示,年龄大、有髋关节手术史、假体放置安全区外、术后体位控制不严格及后外侧入路均是THA患者术后发生髋关节脱位的危险因素(OR>1,P<0.05).预测模型的ROC曲线下面积(AUC)为0.895(95%CI为0.823~0.968),最佳灵敏度为0.750,特异度为0.901,提示预测模型能够较好区分THA患者术后发生髋关节脱位的风险;Hosmer-Lemeshow拟合优度法检验结果显示,预测模型的校准度较好(P=0.077);DCA分析结果显示,预测模型的临床适用度较好.结论 基于列线图构建的THA患者术后发生髋关节脱位的预测模型,其区分度、校准度及临床适用度均良好,可为临床早期预测、预防及治疗髋关节脱位提供理论基础.
The Construction of a Predictive Model for Postoperative Hip Dislocation in Patients Undergoing Total Hip Arthroplasty Based on Nomogram
Objective To analyze the risk of hip dislocation in patients undergoing total hip arthroplasty(THA)and construct a predictive model for hip dislocation based on the nomogram.Methods With the selection of 180 THA patients admitted to the hospital from January 2022 to November 2023 as the research subjects,patients were divided into dislocation group and non-dislocation group according to whether hip dislocation occurred after operation.With the analysis of risk factors for hip dislocation in THA patients after surgery through univariate and multivariate Logistic regression,a predictive model for hip dislocation in THA patients after surgery was constructed based on this.The discriminative power of the prediction model was evaluated using receiver operating characteristic(ROC)curves,the calibration of the prediction model was evaluated using Hosmer-Lemeshow goodness of fit method,and the clinical applicability of the prediction model was evaluated using clinical decision curve analysis(DCA).Results Among 180 THA patients,28 patients experienced hip dislocation after surgery,with an incidence rate of 15.56%.The results of univariate analysis showed that age,hip surgery history,prosthesis diameter,prosthesis placement position,postoperative position control,and surgical approach were related to the occurrence of hip dislocation after operation in the dislocation group and the non dislocation group(P<0.05);The results of multiple Logistic regression analysis showed that age,history of hip surgery,prosthesis placed outside the safe zone,inadequate postoperative position control,and posterolateral approach were all risk factors for hip dislocation in THA patients after surgery(OR>1,P<0.05).The area under the ROC curve(AUC)of the predictive model was 0.895(95%CI was 0.823~0.968),with an optimal sensitivity of 0.750 and specificity of 0.901,indicating that the predictive model can effectively distinguish the risk of hip dislocation in THA patients after surgery;The test results of Hosmer-Lemeshow goodness of fit method showed that the calibration of the prediction model was good(P=0.077);The DCA analysis results showed that the predictive model had good clinical applicability.Conclusion With good discrimination,calibration,and clinical applicability,the prediction model for postoperative hip dislocation in THA patients based on nomogram can provide a theoretical basis for early prediction,prevention,and treatment of hip dislocation in clinical practice.

NomogramTotal hip arthroplastyHip dislocationPrediction model

欧阳莉、吴晶、罗翠芳

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江西省抚州市第一人民医院(江西抚州 344000)

列线图 全髋关节置换术 髋关节脱位 预测模型

2024

医疗装备
国家食品药品监督管理局北京医疗器械质量监督检验中心 北京市医疗器械检验所

医疗装备

影响因子:0.339
ISSN:1002-2376
年,卷(期):2024.37(17)