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Development and Validation of a Nomogram for Predicting Intravenous Immunoglobulin-Responsive Coronary Progression in
Xingyue Pu1, Yue Peng2, Xue Zhou2
1Children's Hospital of Chongqing Medical University, Chongqing, China.
Insights
This study identifies a Kawasaki disease subgroup that responds to IVIG but still progresses in coronary artery lesions. A new nomogram predicts this risk, enabling early intervention for better outcomes.
Area of Science:
- Pediatric Cardiology
- Rheumatology
- Immunology
Background:
- Kawasaki disease (KD) poses risks of coronary artery lesions (CAL) in children.
- Intravenous immunoglobulin (IVIG) is standard treatment, but some patients show IVIG resistance.
- A subgroup with IVIG responsiveness but persistent CAL progression, termed IVIG-responsive coronary progression (IVIG-RCP), requires targeted intervention.
Purpose of the Study:
- To identify predictors of IVIG-responsive coronary progression (IVIG-RCP) in Kawasaki disease.
- To develop a validated tool for early risk stratification and intervention in this specific patient subgroup.
Main Methods:
- Retrospective analysis of Kawasaki disease patients meeting AHA criteria.
- Least Absolute Shrinkage and Selection Operator (LASSO) and multivariable logistic regression for predictor selection.
- Internal validation using bootstrapping and 5-fold cross-validation; performance assessed with ROC, calibration, and decision curves.
Main Results:
- Six pretreatment predictors identified: age, fever to IVIG interval, CRP, ESR, albumin, and sodium.
- Developed nomogram demonstrated strong discrimination (0.831) and clinical utility.
- A web-based calculator was created for real-time IVIG-RCP risk prediction.
Conclusions:
- A validated nomogram incorporating six pretreatment variables can predict IVIG-responsive coronary progression risk in Kawasaki disease.
- This tool facilitates early, targeted interventions for improved patient prognosis.
- Addresses the clinical need for predictive tools in IVIG-responsive but progressing KD patients.
Background:
Coronary artery lesions in children with Kawasaki disease have long been a critical clinical concern. Although extensive research has focused on predicting intravenous immunoglobulin resistance and optimizing therapeutic strategies, this retrospective study identified a distinct clinical subgroup characterized by intravenous immunoglobulin responsiveness (defined as sustained defervescence without recurrence within 36 hours postintravenous immunoglobulin therapy) yet exhibiting persistent progression of coronary artery lesions. We have termed this phenomenon "intravenous immunoglobulin-responsive coronary progression." Early intervention in this subgroup is crucial for improvement of prognosis; however, validated predictive tools are currently lacking.
Methods:
Risk factors for intravenous immunoglobulin-responsive coronary progression were analyzed in patients with Kawasaki disease meeting American Heart Association criteria. Predictors were selected via Least Absolute Shrinkage and Selection Operator and multivariable logistic regression. Internal validation used bootstrapping (1000 resamples) and 5-fold cross-validation. Model performance was assessed via receiver operating characteristic curve, calibration curves, decision curve analysis, and clinical impact curves.
Results:
Six predictors were identified: age (years), time interval from fever onset to intravenous immunoglobulin (days), C-reactive protein, erythrocyte sedimentation rate, albumin, and sodium. The nomogram showed strong discrimination 0.831 (95% confidence interval [CI], 0.788-0.893), and the cross-validation yielded a mean C-index of 0.82. Decision-curve analysis and clinical impact curves confirmed clinical utility at threshold probabilities > 16%. A Web-based calculator was developed for real-time predictions.
Conclusions:
This study developed a validated nomogram incorporating 6 pretreatment variables to predict intravenous immunoglobulin-responsive coronary progression risk in patients with Kawasaki disease, providing a clinically actionable tool for early-targeted intervention.
Clinical Trial Registration:
PID: 286512 and filing number: MR-50-25-060877.
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