Prediction of resistance to intravenous immunoglobulin treatment in patients with Kawasaki disease.

Abstract

OBJECTIVES The objective of this study was to find the predictors and generate a prediction score of resistance to intravenous immunoglobulin (IVIG) in patients with Kawasaki disease (KD). STUDY DESIGN Patients diagnosed as having KD were sampled when they received initial high-dose IVIG treatment (2 g/kg dose) within 9 days of illness (n = 320). These patients were divided into 2 groups: the resistance (n = 41) and the responder (n = 279). The following data were obtained and compared between resistance and responder: age, sex, illness days at initial treatment, and laboratory data. RESULTS Multivariate logistic regression analysis identified age, illness days, platelet count, alanine aminotransferase (ALT), and C-reactive protein (CRP) as significant predictors for resistance to IVIG. We generated prediction score assigning 1 point for (1) infants less than 6 months old, (2) before 4 days of illness, (3) platelet count <or= 30 x 10(10)/L, (4) CRP >or= 8 mg/dL, as well as 2 points for (5) ALT >or= 80 IU/L. Using a cut-off point of 3 and more with this prediction score, we could identify the IVIG-resistant group with 78% sensitivity and 76% specificity. CONCLUSIONS Resistance to IVIG treatment can be predicted using age, illness days, platelet count, ALT, and CRP. Randomized, multicenter clinical trials are necessary to create a new strategy to treat these high-risk patients.

020040060020072008200920102011201220132014201520162017
Citations per Year

2,218 Citations

Semantic Scholar estimates that this publication has 2,218 citations based on the available data.

See our FAQ for additional information.

Cite this paper

@article{Egami2006PredictionOR, title={Prediction of resistance to intravenous immunoglobulin treatment in patients with Kawasaki disease.}, author={Kimiyasu Egami and Hiromi Muta and Masahiro Ishii and Kenji Suda and Yoko Sugahara and Motofumi Iemura and Toyojiro Matsuishi}, journal={The Journal of pediatrics}, year={2006}, volume={149 2}, pages={237-40} }