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Published in: Italian Journal of Pediatrics 1/2018

Open Access 01-12-2018 | Research

A comparison of efficacy of six prediction models for intravenous immunoglobulin resistance in Kawasaki disease

Authors: Weiguo Qian, Yunjia Tang, Wenhua Yan, Ling Sun, Haitao Lv

Published in: Italian Journal of Pediatrics | Issue 1/2018

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Abstract

Background

Kawasaki disease (KD) is the most common pediatric vasculitis. Several models have been established to predict intravenous immunoglobulin (IVIG) resistance. The present study was aimed to evaluate the efficacy of prediction models using the medical data of KD patients.

Methods

We collected the medical records of patients hospitalized in the Department of Cardiology in Children’s Hospital of Soochow University with a diagnosis of KD from Jan 2015 to Dec 2016. IVIG resistance was defined as recrudescent or persistent fever ≥36 h after the end of their IVIG infusion.

Results

Patients with IVIG resistance tended to be younger, have higher occurrence of rash and changes of extremities. They had higher levels of c-reactive protein, aspartate aminotransferase, neutrophils proportion (N%), total bilirubin and lower level of albumin. Our prediction model had a sensitivity of 0.72 and a specificity of 0.75. Sensitivity of Kobayashi, Egami, Kawamura, Sano and Formosa were 0.72, 0.44, 0.48, 0.20, and 0.68, respectively. Specificity of these models were 0.62, 0.82, 0.66, 0.91, and 0.48, respectively.

Conclusions

Our prediction model had a powerful predictive value in this area, followed by Kobayashi model while all the other prediction models had less excellent performances than ours.
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Metadata
Title
A comparison of efficacy of six prediction models for intravenous immunoglobulin resistance in Kawasaki disease
Authors
Weiguo Qian
Yunjia Tang
Wenhua Yan
Ling Sun
Haitao Lv
Publication date
01-12-2018
Publisher
BioMed Central
Published in
Italian Journal of Pediatrics / Issue 1/2018
Electronic ISSN: 1824-7288
DOI
https://doi.org/10.1186/s13052-018-0475-z

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