Key result
Clinical scoring tool predicts IVIG resistance in children with an AUC of 0.77.
Why the study?
A predictive tool for intravenous immunoglobulin resistance in children with Kawasaki disease in Beijing was needed to guide individualized treatment and prevent coronary complications.
Can a clinical and laboratory-based scoring system predict intravenous immunoglobulin resistance in children with Kawasaki disease?
Population
2102 children diagnosed with Kawasaki disease in Beijing, China
Comparison
High-risk versus low-risk for IVIG resistance based on scoring system
Design
Cohort study with internal and external validation
Authors
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May aid risk stratification for IVIG resistance; leaves open external validation before clinical adoption.
Cohort (n=2,102)
Yes
Can a clinical and laboratory-based scoring system predict intravenous immunoglobulin resistance in children with Kawasaki disease?
Effect estimate: AUC 0.77 (95% CI 0.71 to 0.82)
A novel scoring system based on routine laboratory parameters can help predict IVIG resistance in children with Kawasaki disease, potentially guiding individualized initial therapy to prevent coronary complications.
Yang et al. (2018) conducted a cohort in Kawasaki disease (n=2,102). Predictive scoring system for IVIG resistance was evaluated on Responsiveness to IVIG (AUC 0.77, 95% CI 0.71 to 0.82). A predictive scoring tool using clinical and laboratory markers identified children at high risk for IVIG resistance with an AUC of 0.77 (95% CI 0.71 to 0.82) in the internal validation dataset.
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