Wu Gang, Yue Peng, Ma Fan, Zhang Yi, Zheng Xiaolan, Li Yifei
Department of Pediatrics, West China Second University Hospital.
Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education.
Medicine (Baltimore). 2020 Feb;99(6):e18535. doi: 10.1097/MD.0000000000018535.
In recent years, many studies focused on the association between the neutrophil-to-lymphocyte ratio (NLR) and the risk of intravenous immunoglobulin (IVIG)-resistant Kawasaki disease (rKD), with inconsistent results. Therefore, we aimed to investigate the role of NLR as a biomarker in detecting rKD.
We searched PubMed, EMBASE, the Cochrane Central Register of Controlled Trials, and China National Knowledge Infrastructure through May 18th, 2019. Meta-disc 1.4 and STATA 15.1 were used to perform this metaanalysis in a fixed/random-effect model.
A total of 7 relevant studies were eligible to analyze pooled accuracy. The overall performance of NLR detection was: pooled sensitivity, 0.66 (95% confidence interval [CI], 0.63 - 0.70); pooled specificity, 0.71 (95%CI, 0.69 - 0.73); and area under the summary receiver operating characteristic curves value (SROC), 0.7956. The meta-regression analysis showed that the type of samples was the sources of heterogeneity. The subgroup analysis suggested that NLR detection after the initial treatment of IVIG had the largest area under curve of SROC in all the subgroups: pooled sensitivity, 0.58 (95%CI, 0.53 - 0.63); pooled specificity, 0.77 (95%CI, 0.75 - 0.79); and SROC, 0.8440.
This is the first meta-analysis demonstrated that NLR might be a biomarker for detecting rKD, especially NLR value after the initial treatment of IVIG. More well-designed researches need to be done to launch the application of NLR for predicting rKD in the clinic.
近年来,许多研究聚焦于中性粒细胞与淋巴细胞比值(NLR)与静脉注射免疫球蛋白(IVIG)抵抗性川崎病(rKD)风险之间的关联,但结果并不一致。因此,我们旨在研究NLR作为生物标志物在检测rKD中的作用。
我们检索了截至2019年5月18日的PubMed、EMBASE、Cochrane对照试验中心注册库和中国知网。使用Meta-disc 1.4和STATA 15.1在固定/随机效应模型中进行这项荟萃分析。
共有7项相关研究符合分析合并准确性的条件。NLR检测的总体表现为:合并敏感度为0.66(95%置信区间[CI],0.63 - 0.70);合并特异度为0.71(95%CI,0.69 - 0.73);汇总受试者工作特征曲线下面积值(SROC)为0.7956。Meta回归分析表明样本类型是异质性的来源。亚组分析表明,在所有亚组中,IVIG初始治疗后的NLR检测在SROC曲线下面积最大:合并敏感度为0.58(95%CI,0.53 - 0.63);合并特异度为0.77(95%CI,0.75 - 0.79);SROC为0.8440。
这是第一项荟萃分析表明NLR可能是检测rKD的生物标志物,尤其是IVIG初始治疗后的NLR值。需要开展更多设计良好的研究来推动NLR在临床中预测rKD的应用。