实用老年医学 ›› 2023, Vol. 37 ›› Issue (10): 1035-1038.doi: 10.3969/j.issn.1003-9198.2023.10.014

• 临床研究 • 上一篇    下一篇

老年急性脑梗死病人阿替普酶溶栓后出血转化影响因素分析

牛翠, 杨华, 张晓霞, 李致文, 殷海清   

  1. 054000 河北省邢台市,邢台市第三医院检验科(牛翠,杨华,张晓霞); 神经内科(李致文,殷海清)
  • 收稿日期:2022-12-01 出版日期:2023-10-20 发布日期:2023-10-19
  • 基金资助:
    :邢台市重点研发计划自筹项目(2020ZC210)

Influencing factors of hemorrhagic transformation in elderly patients with acute cerebral infarction after thrombolysis with alteplase

NIU Cui, YANG Hua, ZHANG Xiao-xia, LI Zhi-wen, YIN Hai-qing   

  1. Department of Clinical Laboratory(NIU Cui, YANG Hua, ZHANG Xiao-xia); Departmengt of Neurology(LI Zhi-wen, YIN Hai-qing), Xingtai Third Hospital, Xingtai 054000, China
  • Received:2022-12-01 Online:2023-10-20 Published:2023-10-19

摘要: 目的 分析急性脑梗死(ACI)病人阿替普酶(rt-PA)溶栓后发生出血转化(HT)的影响因素。 方法 选择2019年7月至2021年7月于我院就诊的接受rt-PA静脉溶栓治疗的ACI病人80例作为研究对象,根据病人溶栓后是否发生HT,分为HT组(16例)和非HT组(64例)。比较2组病人的临床资料,采用多因素Logistic回归分析ACI病人经rt-PA溶栓后发生HT的独立影响因素,绘制ROC曲线分析各影响因素预测ACI病人溶栓后HT的效能,并构建列线图预测模型。 结果 房颤史、溶栓前NIHSS评分、平均血小板体积(MPV)、血小板分布宽度(PDW)是ACI病人溶栓后HT的独立危险因素,Alberta卒中项目早期CT(ASPECT)评分是独立保护因素(P<0.05)。上述影响因素联合预测HT的AUC、敏感度、特异度均明显高于各因素单独预测(P<0.05),构建的列线图模型区分度较高,准确性和有效性较好。 结论 房颤史、溶栓前NIHSS评分、ASPECT评分、MPV、PDW与ACI溶栓后HT发生密切相关。

关键词: 急性脑梗死, 阿替普酶, 出血转化, 影响因素

Abstract: Objective To analyze the influencing factors of hemorrhagic transformation (HT) after thrombolysis with alteplase (rt-PA) in the elderly patients with acute cerebral infarction (ACI). Methods A total of 80 elderly patients with ACI who received intravenous thrombolysis with rt-PA from July 2019 to July 2021 in our hospital were enrolled. The patients were divided into HT group (n=16) and non-HT group (n=64) according to whether the patients presented with HT. The clinical data of the two groups were compared. Multivariate Logistic regression was used to analyze the independent influencing factors of HT after thrombolysis in the elderly patients with ACI. The receiver operating characteristic (ROC) curve was drawn to analyze the efficacy of the related factors to predict HT after thrombolysis in the elderly patients with ACI, and nomogram prediction model was constructed and its efficiency was evaluated. Results The history of atrial fibrillation (AF), National Institutes of Health Stroke Scale (NIHSS) score before thrombolysis, mean platelet volume (MPV) and platelet distribution width (PDW) were the independent risk factors of HT in the elderly patients with ACI after thrombolysis, while Alberta stroke program early CT (ASPECT) score was an independent protective factor (P<0.05). The area under the ROC curve (AUC), sensitivity and specificity of the combination of the influencing factors in predicting HT were significantly higher than those of each factor alone (P<0.05). The nomograph model showed a high degree of discrimination, accuracy, and effectiveness. Conclusions The history of AF, NIHSS score before thrombolysis, ASPECT score, MPV and PDW are closely related to the occurrence of HT after thrombolysis in the elderly patients with ACI.

Key words: acute cerebral infarction, ateplase, hemorrhagic transformation, risk factor

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