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IL-6/CTRP3对急性脑梗死出血性转化的预测价值

Prediction of hemorrhagic transformation in acute cerebral infarction by IL-6/CTRP3

  • 摘要:
    目的 本研究通过检测急性脑梗死患者血清中炎症因子的变化,探讨血清炎症因子在脑梗死出血转化(hemorrhagic transformation,HT)过程中的作用,进而为HT的预测及治疗提供理论基础。
    方法 回顾性分析2015年1月至2020年1月我院神经内科收治的急性脑梗死患者相关临床资料,根据是否发生HT将患者分为HT组和非HT组。收集两组患者详细资料、影像学检查结果及检测血清炎症因子水平。比较两组患者临床资料、炎症因子差异,将各项资料纳入至logistic回归,分析HT发生的危险因素。
    结果 最终纳入HT组患者31例,非HT组患者71例,HT组中美国公立卫生研究院卒中量表(NIHSS)评分明显高于非HT组,HT组中白细胞介素-1β(IL-1β)、IL-6、TNF-α水平明显高于非HT组,而肿瘤坏死因子相关蛋白3(CTRP3)水平明显低于非HT组。IL-1β、IL-6及TNF-α与NIHSS评分正相关,CTRP3与NIHSS评分呈负相关。logistic回归发现IL-6,TNF-α及梗死面积均为HT的危险因素,而CTRP3为保护因素。进一步发现IL-6/CTRP3的AUC、特异性及敏感性分别为0.91、0.89、0.96,其预测HT的可靠性明显高于其他变量。
    结论 炎症因子在HT发生中发挥重要作用,而众多危险因素中,IL-6/CTRP3预测HT的可靠性明显高于其他变量。

     

    Abstract:
    Objective To provide theoretical basis for the prediction and treatment of hemorrhage transformation (HT), we detected the changes of inflammatory cytokines in serum of patients with acute cerebral infarction and explored the role of inflammatory cytokines in cerebral infarction HT process.
    Methods We retrospectively analyzed the clinical data of patients with acute cerebral infarction admitted to the Department of Neurology in our hospital from January 2015 to January 2020. The patients were divided into HT group and non-HT group according to the occurrence of HT. The demographical and imaging data, and the inflammatory factors in serum of patients in both groups were analyzed. The logistic regression was used to analyze the risk factors for HT.
    Results Finally, 31 patients were included in the HT group and 71 patients in the non-HT group. The NIHSS score in the HT group was significantly higher than that in the non-HT group. The IL-1β, IL-6, and TNF-αserum levels in the HT group were significantly higher than those in the non-HT group, while the CTRP3 level was significantly lower than that in the non-HT group. The IL-1β, IL-6, and TNF-α levels were positively correlated with NIHSS score, while CTRP3 level was negatively correlated with NIHSS score. The logistic regression showed that IL-6, TNF-α, and infarct size were all risk factors for HT, while CTRP3 was a protective factor. Furthermore, the AUC, specificity, and sensitivity of IL-6/CTRP3 were 0.91, 0.89, and 0.96, respectively, indicating that the reliability of IL-6/CTRP3 in predicting HT was significantly higher than other variables.
    Conclusions Inflammatory factors play an important role in the development of HT, and the reliability of IL-6/CTRP3 in the prediction of HT was significantly higher than other variables.

     

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