Cao Rui, Liu Kai-Xun, Hu Dan, Qi Gong-Jian
Department of Critical Care Medicine, Xuzhou Children's Hospital Affiliated to Xuzhou Medical University, Xuzhou, Jiangsu 221002, China (Qi G-J, Email: qw6312@ 163. com).
Zhongguo Dang Dai Er Ke Za Zhi. 2023 Dec 15;25(12):1259-1264. doi: 10.7499/j.issn.1008-8830.2307109.
To investigate the clinical value of complement-3a receptor 1 (C3aR1) and neutrophil extracellular traps (NETs) in predicting sepsis-induced coagulopathy (SIC).
A prospective study was conducted among 78 children with sepsis who attended Xuzhou Children's Hospital Affiliated to Xuzhou Medical University from June 2022 to June 2023. According to the presence or absence of SIC, they were divided into two groups: SIC (=36) and non-SIC (=42) . The two groups were compared in terms of clinical data and the levels of C3aR1 and NETs. The factors associated with the occurrence of SIC were analyzed. The receiver operating characteristic (ROC) curve was used to evaluate the performance of C3aR1 and NETs in predicting SIC.
Compared with the non-SIC group, the SIC group had significantly higher levels of C-reactive protein, interleukin-6 (IL-6), interleukin-10, C3aR1, and NETs (<0.05). The multivaiate logistic regression analysis showed that the increases in C3aR1, NETs, and IL-6 were closely associated with the occurrence of SIC (<0.05). The ROC curve analysis showed that C3aR1 combined with NETs had an area under the curve (AUC) of 0.913 in predicting SIC (<0.05), which was significantly higher than the AUC of C3aR1 or IL-6 (<0.05), while there was no significant difference in AUC between C3aR1 combined with NETs and NETs alone (>0.05).
There are significant increases in the expression levels of C3aR1 and NETs in the peripheral blood of children with SIC, and the expression levels of C3aR1 and NETs have a high clinical value in predicting SIC.
探讨补体3a受体1(C3aR1)和中性粒细胞胞外诱捕网(NETs)在预测脓毒症诱导的凝血病(SIC)中的临床价值。
对2022年6月至2023年6月在徐州医科大学附属徐州儿童医院就诊的78例脓毒症患儿进行前瞻性研究。根据是否存在SIC,将他们分为两组:SIC组(=36例)和非SIC组(=42例)。比较两组的临床资料以及C3aR1和NETs水平。分析与SIC发生相关的因素。采用受试者工作特征(ROC)曲线评估C3aR1和NETs在预测SIC中的性能。
与非SIC组相比,SIC组的C反应蛋白、白细胞介素-6(IL-6)、白细胞介素-10、C3aR1和NETs水平显著更高(<0.05)。多因素逻辑回归分析显示,C3aR1、NETs和IL-6的升高与SIC的发生密切相关(<0.05)。ROC曲线分析显示,C3aR1联合NETs在预测SIC时曲线下面积(AUC)为0.913(<0.05),显著高于C3aR1或IL-6的AUC(<0.05),而C3aR1联合NETs与单独NETs的AUC之间无显著差异(>0.05)。
SIC患儿外周血中C3aR1和NETs的表达水平显著升高,C3aR1和NETs的表达水平在预测SIC方面具有较高的临床价值。