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血栓弹力图预测PICC相关性血栓发生的效能研究
引用本文:高丽霞,李娜,张盼盼,刘长民,王平. 血栓弹力图预测PICC相关性血栓发生的效能研究[J]. 国际护理学杂志, 2019, 38(9): 1229-1232
作者姓名:高丽霞  李娜  张盼盼  刘长民  王平
作者单位:滨州医学院附属医院肿瘤科,山东滨州,256600;滨州医学院附属医院耳鼻喉科,山东滨州,256600;滨州医学院附属医院感染科,山东滨州,256600
基金项目:山东省医药卫生科技发展计划(2015WSB30011).
摘    要:目的研究血栓弹力图(thromoela-stogram, TEG)预测中心静脉置管(peripherally inserted central catheter,PICC)相关静脉血栓发生的效能。方法回顾性分析该院2015年6月1日~2017年6月1日行PICC置管的患者302例,根据是否发生血栓分为血栓组35例和无血栓组267例。通过T或U检验检测PICC置管前后TEG指标变化,筛选预测血栓发生有意义指标,进一步通过受试者工作特征曲线(receiver operating characteristic curve,ROC)评估TEG指标,预测血栓发生的效能。结果不同血栓发生组间χ^2检验结果显示:血栓的发生与高血脂、糖尿病有关,差异均有统计学意义(均P<0.05),与不同年龄、性别、病变部位、是否患有高血压无关,差异均无统计学意义(均P>0.05);血栓组治疗前后r值(反应时间)、K值(凝固时间)、ma值(血栓最大幅度)差异均有统计学意义(均P<0.05),α角度差异无统计学意义(P>0.05);而在非血栓组,r值、K值、ma值、α角度差异均无统计学意义(均P>0.05)。进一步Logistic二元回归分析显示:r值、K值在预测血栓发生有意义(P<0.05),其联合检测ROC曲线下的面积分别为0.819,敏感性84.6%,特异性79.2%,Youden指数>0.242。结论血栓弹力图指标联合预测血栓发生效能明显,值得临床进一步推广应用。

关 键 词:血栓弹力图  PICC  血栓

Research on efficacy of thromoela-stogram in predicting PICC-associated thrombosis
Gao Lixia,Li Na,Zhang Panpan,Liu Changmin,Wang Ping. Research on efficacy of thromoela-stogram in predicting PICC-associated thrombosis[J]. international journal of nursing, 2019, 38(9): 1229-1232
Authors:Gao Lixia  Li Na  Zhang Panpan  Liu Changmin  Wang Ping
Affiliation:(Department of Oncology, the Affiliated Hospital of Birizhou Medical College, Binzhou City of Shandong Province 256600 , China;Department of Otolaryngology, the Affiliated Hospital of Binzhou Medical College, Binzhou City of Shandong Province 256600 , China;Department of Infectious Diseases , the Affiliated Hospital of Binzhou Medical College ,Binzhou City of Shandong Province 256600, China)
Abstract:Gao Lixia;Li Na;Zhang Panpan;Liu Changmin;Wang Ping(Department of Oncology, the Affiliated Hospital of Birizhou Medical College, Binzhou City of Shandong Province 256600 , China;Department of Otolaryngology, the Affiliated Hospital of Binzhou Medical College, Binzhou City of Shandong Province 256600 , China;Department of Infectious Diseases , the Affiliated Hospital of Binzhou Medical College ,Binzhou City of Shandong Province 256600, China)
Keywords:Thromoela-stogram  PICC  Thrombus
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