A novel model for predicting intravenous immunoglobulin-resistance in Kawasaki disease: a large cohort study.

ABSTRACT:

Background

Predicting intravenous immunoglobulin (IVIG)-resistant Kawasaki disease (KD) can aid early treatment and prevent coronary artery lesions. A clinically consistent predictive model was developed for IVIG resistance in KD.

Methods

In this retrospective cohort study of children diagnosed with KD from January 1, 2016 to December 31, 2021, a scoring system was constructed. A prospective model validation was performed using the dataset of children with KD diagnosed from January 1 to June 2022. The least absolute shrinkage and selection operator (LASSO) regression analysis optimally selected baseline variables. Multivariate logistic regression incorporated predictors from the LASSO regression analysis to construct the model. Using selected variables, a nomogram was develo

SUBMITTER: Wang S 

PROVIDER: S-EPMC10420135 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature