A nomogram for predicting immunoglobulin-resistant Kawasaki disease in children.

ABSTRACT:

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

SUBMITTER: Pan Y 

PROVIDER: S-EPMC9944193 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature