Increased Risk of Asthma and Allergic Rhinitis in Patients With a Past History of Kawasaki Disease: A Systematic Review and Meta-Analyses

Lei, Wei‐Te; Hsu, Chih‐Wei; Chen, Po‐Cheng; Tseng, Ping‐Tao; Kuo, Ho-Chang; Guo, Mindy Ming‐Huey; Tu, Yu‐Kang; Lin, Pao‐Yen; Kao, Yu-Hsuan; Chang, Ling‐Sai

doi:10.3389/fped.2021.746856

Cited by 7 publications

(6 citation statements)

References 55 publications

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“…Retrieved 56 genes were used to build the main components of the map. For the disease maps, we chose COVID-19 Disease Map ( Ostaszewski et al, 2021 ) and the Asthma Map ( Mazein et al, 2021 ) as maps having potentially related immune mechanisms ( Lei et al, 2021 ; Makino et al, 2022 ). We would like to emphasize that the choice of these particular disease maps is for the demonstration purpose only and despite the cited article this relationship may be stretched.…”

Section: Resultsmentioning

confidence: 99%

Visualization of automatically combined disease maps and pathway diagrams for rare diseases

et al. 2023

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Introduction: Investigation of molecular mechanisms of human disorders, especially rare diseases, require exploration of various knowledge repositories for building precise hypotheses and complex data interpretation. Recently, increasingly more resources offer diagrammatic representation of such mechanisms, including disease-dedicated schematics in pathway databases and disease maps. However, collection of knowledge across them is challenging, especially for research projects with limited manpower.Methods: In this article we present an automated workflow for construction of maps of molecular mechanisms for rare diseases. The workflow requires a standardized definition of a disease using Orphanet or HPO identifiers to collect relevant genes and variants, and to assemble a functional, visual repository of related mechanisms, including data overlays. The diagrams composing the final map are unified to a common systems biology format from CellDesigner SBML, GPML and SBML+layout+render. The constructed resource contains disease-relevant genes and variants as data overlays for immediate visual exploration, including embedded genetic variant browser and protein structure viewer.Results: We demonstrate the functionality of our workflow on two examples of rare diseases: Kawasaki disease and retinitis pigmentosa. Two maps are constructed based on their corresponding identifiers. Moreover, for the retinitis pigmentosa use-case, we include a list of differentially expressed genes to demonstrate how to tailor the workflow using omics datasets.Discussion: In summary, our work allows for an ad-hoc construction of molecular diagrams combined from different sources, preserving their layout and graphical style, but integrating them into a single resource. This allows to reduce time consuming tasks of prototyping of a molecular disease map, enabling visual exploration, hypothesis building, data visualization and further refinement. The code of the workflow is open and accessible at https://gitlab.lcsb.uni.lu/minerva/automap/.

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Section: Resultsmentioning

confidence: 99%

Visualization of automatically combined disease maps and pathway diagrams for rare diseases

et al. 2023

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“…Furthermore, corroborating evidence lies in the peak incidence of KD being seen at the age of lowest immunoglobulin levels (9-12 months), protective efficacy of vaccination and breastfeeding and efficacy of treatment with IVIg. Moreover, there is published literature on allergic diseases being more common in patients with a past history of KD (44)(45)(46)(47). This is likely due to absence of early-life exposure to microbes that leads to increased Th2 skewing and a higher incidence allergic disease.…”

Section: Socioeconomic Status and The Hygiene Hypothesismentioning

confidence: 99%

Kawasaki disease and the environment: an enigmatic interplay

Aggarwal,

Pilania,

Sharma

et al. 2023

Front. Immunol.

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Kawasaki disease (KD) is a common systemic vasculitis of childhood. Although it has been almost 6 decades since Dr. Tomisaku Kawasaki reported the first case series of KD, the underlying cause remains a mystery. KD is a self-limiting disease. However, a dreaded complication is development of coronary artery abnormalities (CAAs). KD is the most common cause of acquired heart disease in children in the developed world and is being increasingly reported from developing countries too. Over the years, significant observations have been made about epidemiology of KD. It usually affects children below 5, has male preponderance and has significantly higher incidence in North East Asian countries. While several hypotheses have been proffered for etiology of KD, none have been conclusive. These include associations of KD epidemics in Japan and the United Stated with changes in tropospheric wind patterns suggesting wind-borne agents, global studies showing peaks of incidence related to season, and increased rates in populations with a higher socioeconomic profile related to hygiene hypothesis and vaccination. Furthermore, the self-limiting, febrile nature of KD suggests an infectious etiology, more so with sudden decline noted in cases in Japan with onset of COVID-19 mitigation measures. Finally, single nucleotide polymorphisms have been identified as possible risk alleles in patients with KD and their significance in the pathogenesis of this disease are also being defined. The purpose of this review is to elucidate the puzzling associations of KD with different environmental factors. Looking at patterns associated with KD may help us better predict and understand this disease.

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“…National surveys in Japan, South Korea, and Taiwan have all confirmed this finding. KD is not just acute vascular inflammation, as long-term follow-up has found that it affects immunity and the development of allergic diseases ( 2 – 5 ). Intravenous immunoglobulin (IVIG) resistance is a term that was developed after the invention of IVIG treatment for KD ( 6 ).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Formosa score and diagnostic sensitivity and specificity of four Asian risk scores for predicting intravenous immunoglobulin resistance in Kawasaki disease: a bivariate meta-analysis

Chiang

Huang

Kuo

et al. 2023

Front. Cardiovasc. Med.

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BackgroundIn 2016, Lin et al. developed a prediction score of non-responsiveness to intravenous immunoglobulin (IVIG) in patients with Kawasaki disease (KD) (Lin et al., 2016). Various studies have attempted to validate the Formosa score, but inconsistent results have given us new opportunities and challenges. The aim of this meta-analysis is to explore the role of the Formosa score as a risk score in detecting IVIG-resistant KD patients and then compare the pooled sensitivity and specificity of four Asian risk scores, Egami, Formosa, Kobayashi, and Sano risk scores.MethodsA comprehensive search of Cochrane, Embase, and PubMed was conducted through 20 December 2021, using key terms relevant to the research question “What are the sensitivities and specificities of the four Asian predicting scores, Egami, Formosa, Kobayashi, and Sano, in Kawasaki disease patients with IVIG resistance?” The reference lists of the included studies were manually reviewed to identify pertinent references. A random-effects bivariate model was used to estimate the summary of sensitivity and specificity of the tools.ResultsWe found 41 relevant studies of the four Asian risk scores that were eligible to analyze for pooled accuracy. Eleven studies involving 5,169 KD patients reported the diagnostic performance of the Formosa score for the risk of IVIG resistance. The overall performance of the Formosa score was as follows: pooled sensitivity, 0.60 [95% confidence interval (CI), 0.48–0.70]; pooled specificity, 0.59 (95% CI, 0.50–0.68); and area under the hierarchical summary receiver operating characteristic curve, 0.62. The Formosa score exhibited the highest sensitivity 0.76 (95% CI, 0.70–0.82) for detecting IVIG-resistant KD patients among the 21,389 children included in the 41 studies. In terms of specificity estimates, Formosa had the lowest specificity of 0.46 (95% CI, 0.41–0.51).ConclusionPatients at high risk for IVIG resistance may receive adjunctive treatment to reduce coronary lesions and thus also cardiovascular morbidity. Among all of the included studies, we found Formosa score to have the best sensitivity (0.76) but unsatisfactory specificity (0.46) for predicting IVIG resistance in Kawasaki disease. In the future, network meta-analysis should also incorporate the accuracy of the new scores after they have undergone a certain degree of validation around the world.Systematic Review Registrationhttps://www.crd.york.ac.uk/PROSPERO/, PROSPERO CRD42022341410.

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Increased Risk of Asthma and Allergic Rhinitis in Patients With a Past History of Kawasaki Disease: A Systematic Review and Meta-Analyses

Cited by 7 publications

References 55 publications

Visualization of automatically combined disease maps and pathway diagrams for rare diseases

Visualization of automatically combined disease maps and pathway diagrams for rare diseases

Kawasaki disease and the environment: an enigmatic interplay

Evaluation of Formosa score and diagnostic sensitivity and specificity of four Asian risk scores for predicting intravenous immunoglobulin resistance in Kawasaki disease: a bivariate meta-analysis

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