He Yu, Du Wei Xia, Jiang Hong Yan, Ai Qing, Feng Jinxing, Liu Zhenqiu, Yu Jia Lin
*Department of Pediatric Research Institute, Children's Hospital of Chongqing Medical University, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, China †Department of Neonatology, Children's Hospital of Chongqing Medical University, Chongqing, China ‡Chongqing City Key Lab of Child Infection and Immunity, Chongqing, China §China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing, China ||Chongqing Key Laboratory of Pediatrics, Chongqing, China ¶Shenzhen Children's Hospital, Shenzhen, China.
Shock. 2017 Feb;47(2):140-147. doi: 10.1097/SHK.0000000000000753.
Early onset sepsis (EOS) remains a major cause of mortality and morbidity in neonates, and traditional clinical markers effective for adults are less effective in these patients. This study aimed to assess the value of individual plasma biomarkers as well as biomarker combinations for predicting EOS in neonates.
This prospective study included 151 neonates with suspected EOS. Plasma levels of interleukin (IL)-27, IL-6, IL-8, tumor necrosis factor (TNF)-α, heat shock protein (HSP) 70, macrophage inflammatory protein (MIP)-1α, MIP-1β, granzyme B, and matrix metalloproteinase (MMP)-8 were measured through multiplex cytokine profiling and assessed along with C-reactive protein (CRP) and procalcitonin (PCT). Receiver operating characteristic (ROC) curve analysis was performed to evaluate the predictive ability of biomarkers individually and in combination. Logistic regression model was constructed to identify independent predictors of EOS.
The proven sepsis and probable sepsis groups were combined to form the infected group (n = 68), and the possible sepsis and low-risk sepsis groups were combined to form the uninfected group (n = 83). The ROC area under the curve was 0.747 for IL-27 (P <0.01). In addition, IL-6, TNF-α, HSP 70, MMP-8, PCT, and CRP were significantly predictive of EOS, whereas IL-8, granzyme B, MIP-1α, and MIP-1β were not. Both IL-27 and PCT were identified as independent predictors of EOS in the multivariate model, and the combined use of these markers showed significantly increased predictive ability for EOS.
Our results indicate that elevated IL-27 strongly correlates with EOS and may provide additional diagnostic value along with PCT.
早发型败血症(EOS)仍是新生儿死亡和发病的主要原因,对成人有效的传统临床标志物在这些患者中效果较差。本研究旨在评估个体血浆生物标志物以及生物标志物组合对预测新生儿EOS的价值。
这项前瞻性研究纳入了151例疑似EOS的新生儿。通过多重细胞因子分析检测血浆中白细胞介素(IL)-27、IL-6、IL-8、肿瘤坏死因子(TNF)-α、热休克蛋白(HSP)70、巨噬细胞炎性蛋白(MIP)-1α、MIP-1β、颗粒酶B和基质金属蛋白酶(MMP)-8的水平,并与C反应蛋白(CRP)和降钙素原(PCT)一起进行评估。进行受试者操作特征(ROC)曲线分析以评估生物标志物单独及联合的预测能力。构建逻辑回归模型以确定EOS的独立预测因素。
确诊败血症组和可能败血症组合并形成感染组(n = 68),可能败血症组和低风险败血症组合并形成未感染组(n = 83)。IL-27的ROC曲线下面积为0.747(P <0.01)。此外,IL-6、TNF-α、HSP 7缉、MMP-8、PCT和CRP对EOS具有显著预测性,而IL-8、颗粒酶B、MIP-1α和MIP-1β则无。在多变量模型中,IL-27和PCT均被确定为EOS的独立预测因素,联合使用这些标志物显示对EOS的预测能力显著提高。
我们的结果表明,IL-27升高与EOS密切相关,可能与PCT一起提供额外的诊断价值。