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血清D-二聚体消除动力学模型构建对静脉血栓栓塞的预测价值 被引量:5

The value of serum D-dimer elimination kinetics model in predicting venous thromboembolism
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摘要 目的构建血清D-二聚体消除动力学模型并分析其对静脉血栓栓塞的预测价值。方法回顾性分析2020年1月至2022年12月于同济大学附属妇产科医院妇科或产科进行抗凝治疗的79例患者的临床资料,收集D-二聚体浓度及相关临床资料,使用非线性混合效应模型法估算D-二聚体的清除动力学模型参数。结果血栓形成时D-二聚体初始浓度典型值为3.73 mg/L,D-二聚体符合二级消除动力学模型,癌症患者的D-二聚体消除速率较慢。结论抗凝治疗期间D-二聚体清除动力学个体差异较大,可使用模型预测患者D-二聚体降至阴性的时间,为临床提供参考。 Objective To construct a dynamic model of serum D-dimer elimination and analyze its predictive value for venous thromboembolism.Methods The clinlical data of 79 patients received anticoagulant therapy in Gynecology Department or Obstetrics Department of Obstetrics and Gynecology Hospital of Tongji University from January 2020 to December 2022 were retrospective analyzed,and D-dimer concentration and related clinical data were collected,and the kinetic model parameters of D-dimer were estimated by using nonlinear mixed effects models software.Results The initial concentration of D-dimer was 3.73 mg/L when thrombus occurs,which accorded with the second-order elimination kinetic model.The elimination rate of D-dimer was slow in cancer patients.Conclusion The kinetics of D-dimer clearance during anticoagulation therapy varies wildly among individuals.The model can be used to predict the time of D-dimer clearance to negative in patients,and can provide reference for clinical practice.
作者 朱志峰 金剑 陶伟民 徐振东 张海 ZHU Zhifeng;JIN Jian;TAO Weimin;XU Zhendong;ZHANG Hai(Department of Pharmacy,Obstetrics and Gynecology Hospital of Tongji University,Shanghai200092,China;Office of Drug Clinical Trial Institutions,Shanghai Ninth People’s Hospital,Shanghai Jiao Tong University School of Medicine,Shanghai200011,China;Intensive Care Unit,Obstetrics and Gynecology Hospital of Tongji University,Shanghai200092,China)
出处 《中国医药导报》 CAS 2024年第10期77-80,共4页 China Medical Herald
基金 上海市科学技术委员会医学创新研究专项(20Y11901400) 上海市浦东新区卫生健康委员会联合攻关专项(PW2020D-13) 同济大学中央高校基本科研业务费专项(22120220633)。
关键词 D-二聚体 动力学 血栓 抗凝 非线性混合效应模型 D-dimer Kinetics Thrombus Anticoagulation Nonlinear mixed effects models
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