Observational studyRheumatology international2016
Role of the Egami score to predict immunoglobulin resistance in Kawasaki disease among a Western Mediterranean population.
Observational study in Rheumatology international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 48 citations in OpenAlex.
- Prevalence of IVIG resistance in Kawasaki disease: a systematic review and meta-analysis.Frontiers in pediatrics · 2025Pooled it
- Risk Factors of Intravenous Immunoglobulin Resistance in Children With Kawasaki Disease: A Meta-Analysis of Case-Control Studies.Frontiers in pediatrics · 2020Pooled it
- Comparison of Risk-Scoring Systems in Predicting Kawasaki Disease Associated Coronary Artery Dilation in a North American Cohort.Pediatric cardiology · 2025Trial
- Performance of Kawasaki Disease Risk Scores in a 30-Year Regional Spanish Cohort.Pediatric cardiology · 2026Article
- Predictive value for intravenous immunoglobulin resistance of Kobayashi and Kawanet scores in 722 children with Kawasaki disease across diverse ethnic backgrounds (KIWI study): an international cohort study.EClinicalMedicine · 2026Article
- Nutrition-Associated Biomarkers in Predicting Intravenous Immunoglobulin Resistance and Coronary Artery Lesions in Kawasaki Disease: A Systematic Review and Meta-Analysis.Food science & nutrition · 2025Review
- Evaluating the performance of egami, kobayashi and sano scores in predicting IVIG resistance in infant kawasaki disease.BMC pediatrics · 2024Article
- Construction and validation of predictive models for intravenous immunoglobulin-resistant Kawasaki disease using an interpretable machine learning approach.Clinical and experimental pediatrics · 2024Article
- The role of serum lipid in predicting coronary artery lesions and intravenous immunoglobulin resistance in Kawasaki disease: a cohort study.The Journal of international medical research · 2024Article
- Predictive value of albumin for intravenous immunoglobulin resistance in a large cohort of Kawasaki disease patients.Italian journal of pediatrics · 2023Article
- Risk scores for Kawasaki disease, a management tool developed by the KAWA-RACE cohort.Clinical rheumatology · 2022Article
- Combination of fecal calprotectin and initial coronary dimensions to predict coronary artery lesions persistence in Kawasaki disease.Scientific reports · 2022Article
- Predictive value of Albumin-Bilirubin grade for intravenous immunoglobulin resistance in a large cohort of patients with Kawasaki disease: a prospective study.Pediatric rheumatology online journal · 2021Article
- Serum tenascin-C predicts resistance to steroid combination therapy in high-risk Kawasaki disease: a multicenter prospective cohort study.Pediatric rheumatology online journal · 2021Article
- Non-coronary cardiac events, younger age, and IVIG unresponsiveness increase the risk for coronary aneurysms in Italian children with Kawasaki disease.Clinical rheumatology · 2021Article
- Kawasaki Disease: Predictors of Intravenous Immunoglobulin Resistance and Cardiac Complications: New Perspectives?Arquivos brasileiros de cardiologia · 2021Article
- Circulating Immune Cell Profile and Changes in Intravenous Immunoglobulin Responsiveness Over the Disease Course in Children With Kawasaki Disease.Frontiers in pediatrics · 2021Article
- Corticosteroids Added to Initial Intravenous Immunoglobulin Treatment for the Prevention of Coronary Artery Abnormalities in High-Risk Patients With Kawasaki Disease.Journal of the American Heart Association · 2020Article
- Usefulness of Kawasaki disease risk scoring systems to the Turkish population.Anatolian journal of cardiology · 2020Article
- Comparison of Machine Learning Models for Prediction of Initial Intravenous Immunoglobulin Resistance in Children With Kawasaki Disease.Frontiers in pediatrics · 2020Article
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Kawasaki disease is an acute self-limited systemic vasculitis common in childhood. Intravenous immunoglobulin (IVIG) is an effective treatment, and it reduces the incidence of cardiac complications. Egami score has been validated to identify IVIG non-responder patients in Japanese population, and it has shown high sensitivity and specificity to identify these non-responder patients. Although its effectiveness in Japan, Egami score has shown to be ineffective in non-Japanese populations. The aim of this study was to apply the Egami score in a Western Mediterranean population in Catalonia (Spain). Observational population-based study that includes patients from all Pediatric Units in 33 Catalan hospitals, both public and private management, between January 2004 and March 2014. Sensitivity and specificity for the Egami score was calculated, and a logistic regression analysis of predictors of overall response to IVIG was also developed. Predicting IVIG resistance with a cutoff for Egami score ≥3 obtained 26 % sensitivity and 82 % specificity. Negative predictive value was 85 % and positive predictive value 22 %. This low sensitivity implies that three out of four non-responders will not be identified by the Egami score. Besides, logistic regression models did not found significance for the use of the Egami score to predict IVIG resistance in Catalan population although having an area under the ROC curve of 0.618 (IC 95 % 0.538-0.698, p < 0.001). Although regression models found an area under the ROC curve >0.5 to predict IVIG resistance, the low sensitivity excludes the Egami score as a useful tool to predict IVIG resistance in Catalan population.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.