Prediction of intravenous immunoglobulin retreatment in children with Kawasaki disease using models...

Area of Science:

• Pediatrics
• Immunology
• Cardiology

Background:

• Kawasaki disease (KD) poses a risk of coronary artery lesions.
• Children with KD may require retreatment with intravenous immunoglobulin (IVIG).
• Accurate prediction models for IVIG retreatment in high-risk KD patients are limited.

Purpose of the Study:

• To construct and validate predictive models for IVIG retreatment in children with KD.
• To identify key inflammatory and clinical characteristics for predicting IVIG retreatment.
• To develop a novel strategy for early identification of patients needing IVIG retreatment.

Main Methods:

• Retrospective analysis of clinical and laboratory data from 266 children with KD.
• Development and validation cohorts were used to build and test predictive models.
• Binary logistic regression, nomograms, receiver operating curves, and various statistical indices (C index, NRI, IDI) were employed for model evaluation.

Main Results:

• Two models, 5V and 9V, were established incorporating lymphocyte subsets (CD3+, CD4+, CD8+ T cells) and inflammatory markers (IL-2R, CRP).
• Model 9V, additionally including IL-6, TNF-α, NT-proBNP, and sex, demonstrated superior predictive power (C index 0.86) compared to Model 5V.
• Model 9V showed significantly improved reclassification (NRI 0.15, IDI 0.07) and higher sensitivity (1) and specificity (0.875) in the validation cohort.

Conclusions:

• Model 9V, integrating cytokine profiles, lymphocyte subsets, and clinical characteristics, offers superior predictive accuracy for IVIG retreatment in KD patients.
• This model provides a novel and effective strategy for the early identification of children requiring IVIG retreatment.
• The findings support the use of Model 9V for optimizing treatment decisions in Kawasaki disease management.