Suppr超能文献

血小板平均体积/血小板计数比值和中性粒细胞与淋巴细胞比值与热性惊厥风险的关系。

The role of Mean Platelet Volume/platelet count Ratio and Neutrophil to Lymphocyte Ratio on the risk of Febrile Seizure.

机构信息

Department of pediatrics, Southern Medical University Affiliated Maternal & Child Health Hospital of Foshan, 11 Renminxi Road, Foshan, Guangdong, 528000, China.

Department of Clinical Laboratory, Southern Medical University Affiliated Maternal & Child Health Hospital of Foshan, 11 Renminxi Road, Foshan, Guangdong, 528000, China.

出版信息

Sci Rep. 2018 Oct 11;8(1):15123. doi: 10.1038/s41598-018-33373-3.

Abstract

Systemic inflammatory response has been implicated as a contributor to the onset of febrile seizures (FS). The four novel indices of the inflammatory response such as, neutrophil-to-lymphocyte ratio (NLR), mean platelet volume (MPV), platelet count (PLT) ratio and red blood cell distribution width (RDW) have been investigated in FS susceptibility and FS types (simple febrile seizure and complex febrile seizure). However, the potential role of these inflammatory markers and MPV/PLT ratio (MPR) in Chinese children with FS has yet to be fully determined. This study investigated the relevance of NLR, MPV, PLT, MPR and RDW in febrile children with and without seizures. 249 children with FS and 249 age matched controls were included in this study. NLR and MPR were calculated from complete blood cell counts prior to therapy. Differences in age, gender and these inflammatory markers between the FS group and the control group were evaluated using the chi-square test, t-test or logistic regression analysis. Receiver Operating Characteristic (ROC) curve was used to determine the optimal cut-off value of NLR and MPR for FS risk. Interactions between NLR and MPR on the additive scale were calculated by using the relative excess risk due to interaction (RERI), the proportion attributable to interaction (AP), and the synergy index (S). It has been shown that the elevated NLR and MPR levels were associated with increased risk of FS. The optimal cut-off values of NLR and MPR for FS risk were 1.13 and 0.0335 with an area under the curve (AUC) of 0.768 and 0.689, respectively. Additionally, a significant synergistic interaction between NLR and MPR was found on an additive scale. The mean levels of MPV were lower and NLR levels were higher in complex febrile seizure (CFS) than simple febrile seizure (SFS), and the differences were statistically significant. ROC analysis showed that the optimal cut-off value for NLR was 2.549 with 65.9% sensitivity and 57.5% specificity. However, no statistically significant differences were found regarding average values of MPR and RDW between CFS and SFS. In conclusion, elevated NLR and MPR add evidence to the implication of white cells subsets in FS risk, and our results confirmed that NLR is an independent, albeit limited, predictor in differentiating between CFS and SFS. Moreover, NLR and MPR may have a synergistic effect that can influence the occurrence of FS.

摘要

全身炎症反应被认为是发热性惊厥(FS)发作的一个促成因素。已经研究了四种新的炎症反应指标,如中性粒细胞与淋巴细胞比值(NLR)、平均血小板体积(MPV)、血小板计数(PLT)比值和红细胞分布宽度(RDW),以了解其与 FS 易感性和 FS 类型(单纯性发热性惊厥和复杂性发热性惊厥)的关系。然而,这些炎症标志物和血小板/白细胞比值(MPR)在中国发热性惊厥儿童中的潜在作用尚未完全确定。本研究探讨了 NLR、MPV、PLT、MPR 和 RDW 在发热伴或不伴惊厥的儿童中的相关性。本研究纳入了 249 例 FS 患儿和 249 例年龄匹配的对照组。在治疗前通过全血细胞计数计算 NLR 和 MPR。采用卡方检验、t 检验或 logistic 回归分析比较 FS 组和对照组之间的年龄、性别和这些炎症标志物的差异。采用受试者工作特征(ROC)曲线确定 NLR 和 MPR 对 FS 风险的最佳截断值。通过相对超额危险度(RERI)、归因于交互作用的比例(AP)和协同指数(S)计算 NLR 和 MPR 在加性尺度上的交互作用。结果表明,升高的 NLR 和 MPR 水平与 FS 风险增加相关。NLR 和 MPR 对 FS 风险的最佳截断值分别为 1.13 和 0.0335,曲线下面积(AUC)分别为 0.768 和 0.689。此外,在加性尺度上发现 NLR 和 MPR 之间存在显著的协同交互作用。复杂热性惊厥(CFS)患儿的平均 MPV 水平较低,NLR 水平较高,差异有统计学意义。ROC 分析显示,NLR 的最佳截断值为 2.549,灵敏度为 65.9%,特异性为 57.5%。然而,CFS 和 SFS 之间 MPR 和 RDW 的平均水平没有统计学差异。总之,升高的 NLR 和 MPR 进一步证明白细胞亚群在 FS 风险中的作用,我们的结果证实 NLR 是区分 CFS 和 SFS 的一个独立但有限的预测因子。此外,NLR 和 MPR 可能具有协同作用,影响 FS 的发生。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc1a/6181908/909008cf4264/41598_2018_33373_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验