AIMC Topic: Mucocutaneous Lymph Node Syndrome

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A retrospective cohort study using machine learning to predict coronary artery lesions in children with Kawasaki disease.

BMC pediatrics Jul 31, 2025
BACKGROUND: Kawasaki disease (KD) mainly occurs in children under 5 years old, and the most common complication of KD is coronary artery lesion (CAL). In recent years, the incidence rate of KD has increased year by year worldwide, so it is particular...
Machine Learning Retrospective Studies Female Risk Factors Humans ROC Curve Mucocutaneous Lymph Node Syndrome Coronary Artery Disease Propensity Score Male Risk Assessment Infant Child, Preschool
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Clinical prediction of intravenous immunoglobulin-resistant Kawasaki disease based on interpretable Transformer model.

PloS one Jul 9, 2025
Intravenous immunoglobulin (IVIG) has been established as the first-line therapy for Kawasaki disease (KD). However, approximately 10%-20% of pediatric patients exhibit IVIG resistance. Current machine learning (ML) models demonstrate suboptimal pred...
Immunoglobulins, Intravenous Drug Resistance Retrospective Studies Female Male Infant Child, Preschool Humans Child Machine Learning Mucocutaneous Lymph Node Syndrome Algorithms
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Interpretable web-based machine learning model for predicting intravenous immunoglobulin resistance in Kawasaki disease.

Italian journal of pediatrics Jun 9, 2025
BACKGROUND: Kawasaki disease (KD) is a leading cause of acquired heart disease in children that is treated with intravenous immunoglobulin (IVIG). However, 10-20% of cases exhibit IVIG resistance, which increases the risk of coronary complications. E...
Drug Resistance Infant Child, Preschool Child Mucocutaneous Lymph Node Syndrome Predictive Value of Tests Internet Immunoglobulins, Intravenous Retrospective Studies Female Male Risk Assessment Humans Machine Learning
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Integrative machine learning identifies robust inflammation-related diagnostic biomarkers and stratifies immune-heterogeneous subtypes in Kawasaki disease.

Pediatric rheumatology online journal Jun 2, 2025
BACKGROUND: Kawasaki disease (KD), a pediatric systemic vasculitis, lacks reliable diagnostic biomarkers and exhibits immune heterogeneity, complicating clinical management. Current therapies face challenges in targeting specific immune pathways and ...
Mucocutaneous Lymph Node Syndrome Female Humans Child, Preschool Male Machine Learning Child Infant Biomarkers Gene Expression Profiling Gene Regulatory Networks Inflammation
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Identification of novel metabolism-related biomarkers of Kawasaki disease by integrating single-cell RNA sequencing analysis and machine learning algorithms.

Frontiers in immunology Apr 10, 2025
BACKGROUND: The bile acid metabolism (BAM) and fatty acid metabolism (FAM) have been implicated in Kawasaki disease (KD), but their precise mechanisms remain unclear. Identifying signature cells and genes related to BAM and FAM could offer a deeper u...
Sequence Analysis, RNA Gene Expression Profiling Transcriptome Mucocutaneous Lymph Node Syndrome Humans Single-Cell Analysis Fatty Acids Machine Learning Monocytes Biomarkers
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Learning-Based Models for Predicting IVIG Resistance and Coronary Artery Lesions in Kawasaki Disease: A Review of Technical Aspects and Study Features.

Paediatric drugs Apr 3, 2025
Kawasaki disease (KD) is a common pediatric vasculitis, with coronary artery lesions (CALs) representing its most severe complication. Early identification of high-risk patients, including those with disease resistant to first-line treatments, is ess...
Machine Learning Algorithms Mucocutaneous Lymph Node Syndrome Coronary Artery Disease Humans Artificial Intelligence Immunoglobulins, Intravenous Drug Resistance
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External Validation of a Machine Learning Model to Diagnose Kawasaki Disease.

The Journal of pediatrics Mar 21, 2025
We investigated the generalizability of a machine learning model trained to predict Kawasaki disease using laboratory and clinical data. The algorithm performed with >89% accuracy at 3 children's hospitals across the United States, demonstrating its ...
Algorithms Female Male Infant Humans Machine Learning Mucocutaneous Lymph Node Syndrome Child, Preschool Child United States
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An interpretable machine learning-assisted diagnostic model for Kawasaki disease in children.

Scientific reports Mar 7, 2025
Kawasaki disease (KD) is a syndrome of acute systemic vasculitis commonly observed in children. Due to its unclear pathogenesis and the lack of specific diagnostic markers, it is prone to being confused with other diseases that exhibit similar sympto...
Humans Machine Learning Algorithms Female Male Infant Child, Preschool Area Under Curve Child ROC Curve Mucocutaneous Lymph Node Syndrome
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Machine learning for early diagnosis of Kawasaki disease in acute febrile children: retrospective cross-sectional study in China.

Scientific reports Feb 25, 2025
Early diagnosis of Kawasaki disease (KD) allows timely treatment to be initiated, thereby preventing coronary artery aneurysms in children. However, it is challenging due to the subjective nature of the diagnostic criteria. This study aims to develop...
Female ROC Curve Mucocutaneous Lymph Node Syndrome Cross-Sectional Studies China Fever Humans Male Early Diagnosis Child, Preschool Infant Machine Learning Child Retrospective Studies
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Predictive modeling of consecutive intravenous immunoglobulin treatment resistance in Kawasaki disease: A nationwide study.

Scientific reports Jan 6, 2025
Kawasaki disease (KD) is a leading cause of acquired heart disease in children, often resulting in coronary artery complications such as dilation, aneurysms, and stenosis. While intravenous immunoglobulin (IVIG) is effective in reducing immunologic i...
Child Mucocutaneous Lymph Node Syndrome Immunoglobulins, Intravenous Humans Drug Resistance Machine Learning Male Republic of Korea Infant Female Child, Preschool
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