血清TRAF6、sTLT-1和血管生成素样蛋白8对急性脑梗死出血性转化的预测效能分析
张三妮, 韩淑辉南阳市第一人民医院神经内科, 河南 南阳 473001
收稿日期:
2023-02-12出版日期:
2023-11-30发布日期:
2023-11-07通讯作者:
韩淑辉E-mail:10209806070@qq.com作者简介:
张三妮(1988-),女,主治医师,硕士.基金资助:
河南科技攻关计划(192102310349)关键词: 急性脑梗死, 出血性转化, 肿瘤坏死因子受体相关因子, 可溶性骨髓细胞样转录因子, 血管生成素样蛋白
Abstract: Objective To investigate the predictive efficacy of serum tumor necrosis factor receptor-associated factor 6 (TRAF6), soluble myeloid cell-like transcription factor-1 (sTLT-1), and angiopoietin-like protein 8 (ANGPTL8) in acute cerebral infarction (ACI)hemorrhagic transformation (HT). Methods A total of 118 patients with ACI admitted to our hospital from January 2019 to December 2021 were included in this study, and CT reexamination was performed 3 days after intravenous thrombolysis. They were divided into two groups based on whether HT occurred:the occurrence and non-occurrence groups. The clinical data, serum levels, and differences of TRAF6, sTLT-1, and ANGPTL8 before and after thrombolysis were compared between the two groups, and the relationship between the serum differences and the occurrence of HT and their predictive value were analyzed. Results The serum levels of TRAF6, sTLT-1, and ANGPTL8 in the occurrence group before thrombolysis and 1 h after thrombolysis were higher than those in the non-occurrence group (P < 0.05); the difference of serum TRAF6, sTLT-1, and ANGPTL8 before and after thrombolysis in the occurrence group was smaller than that in the non-occurrence group (P < 0.05); and the differences of serum TRAF6, sTLT-1, and ANGPTL8 before and after thrombolysis were independently correlated with the occurrence of HT (P < 0.05). The area under curve (AUC) predicted by the difference between serum TRAF6, sTLT-1, and ANGPTL8 before and after thrombolysis for the occurrence of HT were 0.703, 0.740, and 0.689, respectively; and the joint prediction AUC of all indicators was 0.920, which was better than the single index prediction. Conclusion Serum levels of TRAF6, sTLT-1, and ANGPTL8 are significantly correlated with ACI complicated with HT. The combination of each index has a high predictive performance in predicting ACI complicated with HT, which provides a reliable basis for clinical targeted follow-up treatment.
Key words: acute cerebral infarction, hemorrhagic transformation, tumor necrosis factor receptor-related factor, soluble myeloid cell-like transcription factor, angiopoietin-like protein
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