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Published in: BMC Medicine 1/2011

Open Access 01-12-2011 | Research article

A diagnostic algorithm combining clinical and molecular data distinguishes Kawasaki disease from other febrile illnesses

Authors: Xuefeng B Ling, Kenneth Lau, John T Kanegaye, Zheng Pan, Sihua Peng, Jun Ji, Gigi Liu, Yuichiro Sato, Tom TS Yu, John C Whitin, James Schilling, Jane C Burns, Harvey J Cohen

Published in: BMC Medicine | Issue 1/2011

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Abstract

Background

Kawasaki disease is an acute vasculitis of infants and young children that is recognized through a constellation of clinical signs that can mimic other benign conditions of childhood. The etiology remains unknown and there is no specific laboratory-based test to identify patients with Kawasaki disease. Treatment to prevent the complication of coronary artery aneurysms is most effective if administered early in the course of the illness. We sought to develop a diagnostic algorithm to help clinicians distinguish Kawasaki disease patients from febrile controls to allow timely initiation of treatment.

Methods

Urine peptidome profiling and whole blood cell type-specific gene expression analyses were integrated with clinical multivariate analysis to improve differentiation of Kawasaki disease subjects from febrile controls.

Results

Comparative analyses of multidimensional protein identification using 23 pooled Kawasaki disease and 23 pooled febrile control urine peptide samples revealed 139 candidate markers, of which 13 were confirmed (area under the receiver operating characteristic curve (ROC AUC 0.919)) in an independent cohort of 30 Kawasaki disease and 30 febrile control urine peptidomes. Cell type-specific analysis of microarrays (csSAM) on 26 Kawasaki disease and 13 febrile control whole blood samples revealed a 32-lymphocyte-specific-gene panel (ROC AUC 0.969). The integration of the urine/blood based biomarker panels and a multivariate analysis of 7 clinical parameters (ROC AUC 0.803) effectively stratified 441 Kawasaki disease and 342 febrile control subjects to diagnose Kawasaki disease.

Conclusions

A hybrid approach using a multi-step diagnostic algorithm integrating both clinical and molecular findings was successful in differentiating children with acute Kawasaki disease from febrile controls.
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Metadata
Title
A diagnostic algorithm combining clinical and molecular data distinguishes Kawasaki disease from other febrile illnesses
Authors
Xuefeng B Ling
Kenneth Lau
John T Kanegaye
Zheng Pan
Sihua Peng
Jun Ji
Gigi Liu
Yuichiro Sato
Tom TS Yu
John C Whitin
James Schilling
Jane C Burns
Harvey J Cohen
Publication date
01-12-2011
Publisher
BioMed Central
Published in
BMC Medicine / Issue 1/2011
Electronic ISSN: 1741-7015
DOI
https://doi.org/10.1186/1741-7015-9-130

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