脓毒症患者DIC预警系统构建与临床研究

张涛, 万亚楠, 王逸平, 等. 脓毒症患者DIC预警系统构建与临床研究[J]. 临床急诊杂志, 2021, 22(8): 513-520. doi: 10.13201/j.issn.1009-5918.2021.08.001
引用本文: 张涛, 万亚楠, 王逸平, 等. 脓毒症患者DIC预警系统构建与临床研究[J]. 临床急诊杂志, 2021, 22(8): 513-520. doi: 10.13201/j.issn.1009-5918.2021.08.001
ZHANG Tao, WAN Yanan, WANG Yiping, et al. Construction of early warning system for DIC in patients with sepsis and clinical study[J]. J Clin Emerg, 2021, 22(8): 513-520. doi: 10.13201/j.issn.1009-5918.2021.08.001
Citation: ZHANG Tao, WAN Yanan, WANG Yiping, et al. Construction of early warning system for DIC in patients with sepsis and clinical study[J]. J Clin Emerg, 2021, 22(8): 513-520. doi: 10.13201/j.issn.1009-5918.2021.08.001

脓毒症患者DIC预警系统构建与临床研究

  • 基金项目:

    上海市医学重点专科建设项目(No:ZK2019C08)

    上海市浦东新区卫生系统领先人才培养项目(No:PWRl2018-08)

详细信息
    通讯作者: 万健,E-mail:drjian@yeah.net
  • 中图分类号: R459.7

Construction of early warning system for DIC in patients with sepsis and clinical study

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  • 目的:构建脓毒症患者弥散性血管内凝血(DIC)自动筛查预警系统,并对脓毒症患者进行筛查;将由预警系统筛查出的DIC的患者与由中国弥散性血管内凝血诊断积分系统(CDSS)诊断出的DIC患者进行比较,探讨DIC预警系统与CDSS诊断标准对脓毒症患者病死率预测的价值。方法:依托ISTH DIC及SIC DIC诊断标准在重症医学科Do Care重症监护临床信息系统V5.0中构建出DIC预警系统,收集2019年1月1日-2020年5月31日期间入住南通大学附属医院重症医学科并被诊断为脓毒症的患者共100例作为研究对象,记录患者的一般情况,包括年龄、性别、体重等,抽取入科当天和后续4 d(第2~5天)的外周血,检测并记录入组患者5 d的血乳酸、血小板计数、D-二聚体、纤维蛋白原浓度、纤维蛋白原降解产物、凝血酶原时间、国际标准化比率、部分凝血活酶时间等实验室检查指标,以及SOFA评分、APACHEⅡ评分和患者28 d生存状态。同时对入组患者每天由DIC预警系统及CDSS诊断标准进行积分,记录每天新增的DIC患者。运用多因素logistic回归及受试者工作曲线(ROC)来评估两种DIC诊断方法对ICU患者28 d生存率的预测效果;同时分析第1天两种诊断标准对ICU生存率方面的预测价值。最后通过Kaplan-Meier曲线分析比较两组患者28 d生存率的差异。结果:两种诊断标准在第1天预测ICU患者28 d病死率的多因素logistic回归分析表明:预警系统在患者入院第1天对患者28 d病死率的预测有显著的价值(优势比为3.831、P=0.019、95%的置信区间1.255~11.656),而CDSS评分标准则差异无统计学意义。且预警系统的特异度(82.6%vs.52.2%)、阳性预测值(58.6%vs. 40.0%)及精确度(74.0%vs. 58.0%)均更高,同时,Kaplan-Meier生存曲线表明预警系统在第1天预测患者的28 d病死率方面差异有统计学意义(P=0.007),而CDSS评分标准则差异无统计学意义(P=0.271)。结论:(1)构建的脓毒症患者DIC预警系统,可早期筛查出DIC患者,以实现对脓毒症合并DIC患者的早期诊断。(2)构建的DIC预警系统在早期预测ICU患者28 d生存率方面更有优势。
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收稿日期:  2021-05-17

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