AIMC Topic: Mucocutaneous Lymph Node Syndrome

Clear Filters Showing 1 to 10 of 24 articles

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...
Machine Learning Retrospective Studies Female Male Humans Internet Immunoglobulins, Intravenous Drug Resistance Child Mucocutaneous Lymph Node Syndrome Predictive Value of Tests Risk Assessment Infant Child, Preschool
View on PubMed DOI

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 ...
Child, Preschool Child Gene Regulatory Networks Male Infant Gene Expression Profiling Inflammation Mucocutaneous Lymph Node Syndrome Biomarkers Female Humans Machine Learning
View on PubMed DOI

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...
Humans Machine Learning Biomarkers Monocytes Sequence Analysis, RNA Gene Expression Profiling Mucocutaneous Lymph Node Syndrome Transcriptome Fatty Acids Single-Cell Analysis
View on PubMed DOI

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...
Drug Resistance Mucocutaneous Lymph Node Syndrome Coronary Artery Disease Immunoglobulins, Intravenous Machine Learning Algorithms Humans Artificial Intelligence
View on PubMed DOI

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 ...
Child, Preschool Humans Female Machine Learning Child Male United States Algorithms Mucocutaneous Lymph Node Syndrome Infant
View on PubMed DOI

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...
ROC Curve Mucocutaneous Lymph Node Syndrome Area Under Curve Infant Child, Preschool Child Algorithms Female Male Humans Machine Learning
View on PubMed DOI

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...
Humans Machine Learning Child Male Retrospective Studies China ROC Curve Infant Fever Female Mucocutaneous Lymph Node Syndrome Child, Preschool Early Diagnosis Cross-Sectional Studies
View on PubMed DOI

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, Preschool Child Mucocutaneous Lymph Node Syndrome Immunoglobulins, Intravenous Drug Resistance Female Male Infant Humans Machine Learning Republic of Korea
View on PubMed DOI

Enhancing generalization in a Kawasaki Disease prediction model using data augmentation: Cross-validation of patients from two major hospitals in Taiwan.

PloS one Dec 31, 2024
Kawasaki Disease (KD) is a rare febrile illness affecting infants and young children, potentially leading to coronary artery complications and, in severe cases, mortality if untreated. However, KD is frequently misdiagnosed as a common fever in clini...
Child, Preschool Male Humans Mucocutaneous Lymph Node Syndrome Infant Taiwan Machine Learning Hospitals Female
View on PubMed DOI

Accuracy of Machine Learning in Discriminating Kawasaki Disease and Other Febrile Illnesses: Systematic Review and Meta-Analysis.

Journal of medical Internet research Nov 18, 2024
BACKGROUND: Kawasaki disease (KD) is an acute pediatric vasculitis that can lead to coronary artery aneurysms and severe cardiovascular complications, often presenting with obvious fever in the early stages. In current clinical practice, distinguishi...
Diagnosis, Differential Coronary Artery Disease Fever Child Mucocutaneous Lymph Node Syndrome Humans Machine Learning
View on PubMed DOI
Popular Topics
Recent Journals