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中华危重症医学杂志(电子版) ›› 2022, Vol. 15 ›› Issue (06) : 454 -459. doi: 10.3877/cma.j.issn.1674-6880.2022.06.003

论著

行体外膜肺氧合患者脑出血危险因素分析
张忠满1, 朱轶1, 李伟1, 安迪1, 邹乐1, 夏雨1, 丁涛1, 时育彤1, 陈旭锋1,()   
  1. 1. 210029 南京,南京医科大学第一附属医院急诊医学中心
  • 收稿日期:2021-12-11 出版日期:2022-12-31
  • 通信作者: 陈旭锋
  • 基金资助:
    江苏省"六大人才高峰"项目(2019WSN-005); 江苏省"六个一工程"拔尖人才项目(LGY20190688); 江苏省人民医院"511腾飞工程"项目(2018)

Risk factors of intracerebral hemorrhage in patients with extracorporeal membrane oxygenation

Zhongman Zhang1, Yi Zhu1, Wei Li1, Di An1, Yue Zou1, Yu Xia1, Tao Ding1, Yutong Shi1, Xufeng Chen1,()   

  1. 1. Emergency Medicine Center, the First Affiliated Hospital with Nanjing Medical University, Nanjing 210029, China
  • Received:2021-12-11 Published:2022-12-31
  • Corresponding author: Xufeng Chen
引用本文:

张忠满, 朱轶, 李伟, 安迪, 邹乐, 夏雨, 丁涛, 时育彤, 陈旭锋. 行体外膜肺氧合患者脑出血危险因素分析[J/OL]. 中华危重症医学杂志(电子版), 2022, 15(06): 454-459.

Zhongman Zhang, Yi Zhu, Wei Li, Di An, Yue Zou, Yu Xia, Tao Ding, Yutong Shi, Xufeng Chen. Risk factors of intracerebral hemorrhage in patients with extracorporeal membrane oxygenation[J/OL]. Chinese Journal of Critical Care Medicine(Electronic Edition), 2022, 15(06): 454-459.

目的

研究行体外膜肺氧合(ECMO)治疗患者脑出血相关危险因素。

方法

选择2017年1月至2020年8月期间于南京医科大学第一附属医院急诊医学中心行ECMO治疗的105例患者。根据ECMO上机期间是否出现脑出血将患者分为脑出血组(14例)和无脑出血组(91例),比较两组患者的基线资料及预后情况。采用多因素Logistic回归分析行ECMO治疗患者脑出血的相关危险因素,并绘制受试者工作特征曲线。

结果

脑出血组和无脑出血组患者血小板计数(U=382.000,P=0.016)、肌酐(U=419.000,P=0.040)、丙氨酸转氨酶(U=396.000,P=0.023)、凝血酶原时间(U=379.000,P=0.015)、活化部分凝血酶原时间(U=394.500,P=0.022)、连续性肾脏替代疗法治疗(χ2=3.883,P=0.049)、血小板输注量(U=372.000,P=0.010)、血浆输注量(U=399.000,P=0.015)、治疗期间血小板计数最低值(U=291.000,P=0.001)和凝血酶原时间最长值(U=341.500,P=0.005)比较,差异均有统计学意义。Logistic回归结果显示,ECMO期间血小板计数最低值[比值比=0.614,95%置信区间(CI)(0.408,0.923),P=0.019]为ECMO治疗患者脑出血的保护因素。血小板计数最低值预测ECMO治疗患者出现脑出血的曲线下面积为0.799[95%CI(0.667,0.913),P<0.001],最佳临界值为49.5 × 109/L时,其敏感度为58.2%,特异度为92.9%。

结论

ECMO期间血小板计数的最低值与患者并发脑出血风险相关,血小板计数最低值越低,出血风险越高。

Objective

To investigate the risk factors of intracerebral hemorrhage (ICH) in patients with extracorporeal membrane oxygenation (ECMO).

Methods

A total of 105 patients received ECMO treatment at the Emergency Medicine Center of the First Affiliated Hospital with Nanjing Medical University from January 2017 to August 2020. Patients were divided into an ICH group (n = 14) and a non-ICH group (n = 91) according to whether there was cerebral hemorrhage during ECMO. The difference of baseline data and prognosis between these two groups was analyzed, and then the risk factors of ICH in ECMO patients were analyzed by multivariate Logistic regression and the receiver operating characteristic curve.

Results

There were significant differences in the platelet count (U = 382.000, P = 0.016), creatinine (U = 419.000, P = 0.040), alanine aminotransferase (U = 396.000, P = 0.023), prothrombin time (U = 379.000, P = 0.015), activated partial thromboplastin time (U = 394.500, P = 0.022), continuous renal replacement therapy (χ2 = 3.883, P = 0.049), platelet transfusion volume (U = 372.000, P = 0.010), plasma transfusion volume (U = 399.000, P = 0.015), minimum platelet count (U = 291.000, P = 0.001) and the longest value of prothrombin time during treatment (U = 341.500, P = 0.005) between the ICH group and the non-ICH group. Logistic regression showed that the minimum platelet count during ECMO [odds ratio = 0.614, 95% confidence interval (CI) (0.408, 0.923), P = 0.019] was a protective factor for ICH in patients with ECMO. The area under the curve for the minimum platelet count to predict ICH in ECMO patients was 0.799 [95%CI (0.667, 0.913), P < 0.001], and the optimal cut-off value was 49.5 × 109/L, with sensitivity of 58.2% and specificity of 92.9%.

Conclusion

The minimum platelet count during ECMO is associated with ICH in patients with ECMO, and the lower the platelet count, the higher the risk of bleeding.

图1 行ECMO治疗患者治疗结局一览表注:ECMO.体外膜肺氧合
表1 脑出血组和无脑出血组行ECMO治疗患者基线资料比较[MP25P75)]
表2 脑出血组和无脑出血组患者ECMO治疗期间指标比较[MP25P75)]
图2 ECMO期间血小板计数最低值对脑出血的预测概率注:ECMO.体外膜肺氧合
表3 行ECMO治疗患者脑出血多因素Logistic回归分析
图3 ECMO支持治疗期间血小板计数最低值的ROC曲线分析注:ECMO.体外膜肺氧合;ROC.受试者工作特征
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