Dataset Information

Neutrophil-to-lymphocyte ratio as a biomarker for predicting the intravenous immunoglobulin-resistant Kawasaki disease.

ABSTRACT: BACKGROUND: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. METHODS: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. RESULTS: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. CONCLUSIONS: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.

SUBMITTER: Wu G

PROVIDER: S-EPMC7015653 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

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Neutrophil-to-lymphocyte ratio as a biomarker for predicting the intravenous immunoglobulin-resistant Kawasaki disease.

Wu Gang G Yue Peng P Ma Fan F Zhang Yi Y Zheng Xiaolan X Li Yifei Y

Medicine 20200201 6

<h4>Background</h4>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.<h4>Methods</h4>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 ...[more]

PMID: 32028387

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Project description:The purpose of this study was to identify the clinical features and laboratory factors that are predictive of intravenous immunoglobulin (IVIG)-resistant Kawasaki disease. Multiple databases were searched for relevant studies on IVIG-resistant Kawasaki disease published from January 2002 to April 2017. Eligible studies were retrieved by manual review of the references. Stata 12 was used for the meta-analysis. Weighted mean differences and odds ratios with 95% confidence intervals were calculated for several indices. Twenty-eight studies involving 26,260 patients comprising 4442 IVIG-resistant Kawasaki disease patients and 21,818 IVIG-sensitive Kawasaki disease patients were included. The meta-analysis showed that the erythrocyte sedimentation rate (ESR) in the IVIG-resistant group was significantly higher than that in the IVIG-sensitive group, and that platelet count and hemoglobin levels were significantly lower in the IVIG-resistant group. The patients with oral mucosa alterations, cervical lymphadenopathy, swelling of the extremities, polymorphous rash, and initial administration of IVIG ??4.0 days after the onset of symptoms were more likely to be IVIG resistant.ConclusionThe initial administration of IVIG ??4.0 days after the onset of symptoms increased ESR and decreased hemoglobin and platelet counts, oral mucosa alterations, cervical lymphadenopathy, swelling of the extremities, and polymorphous rash and are the risk factors for IVIG-resistant Kawasaki disease. What is Known: • Recent reports on this topic are about aspartate aminotransferase (AST), alanine aminotransferase (ALT), gammaglutamyl transferase, total bilirubin, white blood cells, platelets, erythrocyte sedimentation rate (ESR), polymorphonuclear leukocytes (PMN), C-reactive protein (CRP), pro-brain natriuretic peptide (BNP), albumin, and sodium as the risk factors in the IVIG-resistant Kawasaki disease; however, no studies have been published on clinical features as predictors of IVIG resistance. What is New: • This meta-analysis identified the clinical features, the initial administration of IVIG?? 4.0 days after the onset of symptoms, and much more comprehensive laboratory indicators, such as hemoglobin, as predictors of IVIG-resistant Kawasaki disease.

Project description:BackgroundAbout 10-20% of Kawasaki disease (KD) patients are resistant to the initial infusion of intravenous immunoglobin (IVIG). The aim of this study was to assess whether IVIG resistance in KD patients could be predicted using standard clinical and laboratory features.MethodsData were from two cohorts: a Korean cohort of 7101 KD patients from 2015 to 2017 and a cohort of 649 KD patients from San Diego enrolled from 1998 to 2021. Features included laboratory values, the worst Z-score from the initial echocardiogram or during hospitalization, and the five clinical KD signs at presentation.ResultsFive machine learning models achieved a maximum median AUC of 0.711 [IQR: 0.706-0.72] in the Korean cohort and 0.696 [IQR: 0.609-0.722] in the San Diego cohort during stratified 10-fold cross-validation using significant laboratory features identified from univariate analysis. Adding the Z-score, KD clinical signs, or both did not considerably improve the median AUC in either cohort.ConclusionsUsing commonly measured clinical laboratory data alone or in conjunction with echocardiographic findings and clinical features is not sufficient to predict IVIG resistance. Further attempts to predict IVIG resistance will need to incorporate additional data such as transcriptomics, proteomics, and genetics to achieve meaningful predictive utility.ImpactWe demonstrated that laboratory, echocardiographic, and clinical findings cannot predict intravenous immunoglobin (IVIG) resistance to a clinically meaningful extent using machine learning in a homogenous Asian or ethnically diverse population of patients with Kawasaki disease (KD). Visualizing these features using uniform manifold approximation and projection (UMAP) is an important step to evaluate predictive utility in a qualitative manner. Further attempts to predict IVIG resistance in KD patients will need to incorporate novel biomarkers or other specialized features such as genetic differences or transcriptomics to be clinically useful.

Dataset Information

Neutrophil-to-lymphocyte ratio as a biomarker for predicting the intravenous immunoglobulin-resistant Kawasaki disease.

Publications

Neutrophil-to-lymphocyte ratio as a biomarker for predicting the intravenous immunoglobulin-resistant Kawasaki disease.

Similar Datasets

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