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中国临床研究:2026,39(3):429-433
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老年患者全髋关节置换术后深静脉血栓形成风险预测模型的构建
(1.徐州医科大学扬州临床学院, 江苏 扬州 225001;2.浙江大学医学院附属第一医院,浙江 杭州 310006;3.扬州大学附属苏北人民医院 江苏省苏北人民医院关节骨科, 江苏 扬州 225001;4.扬州大学附属苏北人民医院江苏省苏北人民医院关节骨科, 江苏 扬州 225001)
Risk model of deep vein thrombosis after total hip arthroplasty in elderly patients
摘要
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投稿时间:2025-09-17   网络发布日期:2026-04-02
中文摘要: 目的分析老年患者全髋关节置换术(THA)后常见并发症下肢深静脉血栓形成(DVT)的影响因素。方法回顾性分析江苏省苏北人民医院2022年9月至2023年9月收治的378例行THA患者的临床资料,根据是否发DVT将其分为DVT 组(n=34)和非DVT组(n=344)。单因素分析两组患者的术前、术中、术后资料,多因素logistic回归分析THA术后发生DVT的影响因素并构建列线图模型。结果单因素分析结果显示年龄≥65岁(χ2=8.765)、糖尿病(χ2=7.462)、术中出血量(χ2=5.451)、术中输血(χ2=69.232)、术前活化部分凝血活酶时间(APTT)(Z=3.317)、术前白蛋白(Z=3.974)、术前血红蛋白(Z=3.341)、术后血红蛋白(t=2.030)、术后白蛋白(Z=4.268)等指标在两组之间差异有统计学意义(P<0.05)。多因素logistic回归分析显示年龄、糖尿病、术中出血量、术中输血、术前APTT、术后白蛋白是THA术后发生下肢DVT 的独立影响因素(P<0.05)。建立列线图风险预测模型,校准曲线结果显示拟合良好。采用一致性指数评价校准曲线的效果,结果显示该列线图模型具有良好的预测能力。结论THA术后DVT形成的独立影响因素包括年龄、糖尿病、术中出血量、术中输血、术前APTT、术后白蛋白,建立的列线图模型具有良好的预测价值。
Abstract:Objective To analyze the influencing factors for lower extremity deep vein thrombosis (DVT), a common complication after total hip arthroplasty (THA), in elderly patients. Methods A retrospective analysis was conducted on 378 patients who underwent THA in Northern Jiangsu People’s Hospital from September 2022 to September 2023. The patients were divided into a DVT group (n=34) and a non-DVT group (n=344) according to whether DVT was happend or not . Univariate analysis was performed to compare preoperative, intraoperative and postoperative clinical data between the two groups. Multivariate logistic regression analysis was employed to identify independent influencing factors for DVT following THA and to construct a predictive model. Results Univariate analysis showed there were significant differences between the two groups (P<0.05) in the following factors: age ≥65 years (χ2=8.765), diabetes (χ2=7.462), intraoperative blood loss (χ2=5.451), blood transfusion (χ2=69.232), preoperative activated partial thromboplastin time (APTT) (Z=3.317), preoperative albumin (Z=3.974), preoperative hemoglobin (Z=3.341), postoperative hemoglobin (t=2.030), and postoperative albumin (Z=4.268). Multivariate logistic regression analysis indicated that age, diabetes, intraoperative blood loss, blood transfusion, preoperative APTT, and postoperative albumin were independent influencing factors for lower extremity DVT after THA (P<0.05). A nomogram risk prediction model was developed, and the calibration curve demonstrated good fit. The predictive performance of the nomogram was evaluated using the concordance index, which indicated that the model had favorable predictive ability. Conclusion Age, diabetes, intraoperative blood loss, intraoperative blood transfusion, preoperative APTT, and postoperative albumin are independent influencing factors for DVT following THA. The constructed nomogram model exhibits good predictive value.
文章编号:     中图分类号:    文献标志码:A
基金项目:江苏省“六大人才高峰”高层次人才培养项目(YY-221);江苏省青年医学重点人才培养项目(QNRC2016343)
附件
引用文本:
陈龙驰,张天宇,刘睿周,等.老年患者全髋关节置换术后深静脉血栓形成风险预测模型的构建[J].中国临床研究,2026,39(3):429-433.

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