A nomogram for predicting immunoglobulin-resistant Kawasaki disease in children

Objective This case–control study focused on the establishment and internal validation of a risk nomogram for intravenous immunoglobulin (IVIG)-resistant Kawasaki disease (KD) using the Kawasaki Disease Database. Methods The Kawasaki Disease Database is the first public database for KD researchers....

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Bibliographic Details
Published inJournal of international medical research Vol. 51; no. 2; p. 3000605221139704
Main Authors Pan, Yan, Fan, Qihong
Format Journal Article
LanguageEnglish
Published London, England SAGE Publications 01.02.2023
Sage Publications Ltd
SAGE Publishing
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Summary:Objective This case–control study focused on the establishment and internal validation of a risk nomogram for intravenous immunoglobulin (IVIG)-resistant Kawasaki disease (KD) using the Kawasaki Disease Database. Methods The Kawasaki Disease Database is the first public database for KD researchers. A prediction nomogram for IVIG-resistant KD was constructed using multivariable logistic regression. Then, the C-index was used to assess the discriminating ability of the proposed prediction model, a calibration plot was drawn to evaluate its calibration, and a decision curve analysis was adopted to assess its clinical usefulness. Bootstrapping validation was performed for interval validation. Results The median ages of IVIG-resistant and -sensitive KD groups were 3.3 and 2.9 years, respectively. Predicting factors incorporated into the nomogram were coronary artery lesions, C-reactive protein, percentage of neutrophils, platelets, aspartate aminotransferase, and alanine transaminase. Our constructed nomogram exhibited favorable discriminating ability (C-index: 0.742; 95% confidence interval: 0.673–0.812) and excellent calibration. Moreover, interval validation achieved a high C-index of 0.722. Conclusions The as-constructed new IVIG-resistant KD nomogram that incorporated C-reactive protein, coronary artery lesions, platelets, percentage of neutrophils, alanine transaminase, and aspartate aminotransferase may be adopted for predicting the risk of IVIG-resistant KD.
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ISSN:0300-0605
1473-2300
DOI:10.1177/03000605221139704