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

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 differentiat

SUBMITTER: Ling XB 

PROVIDER: S-EPMC3251532 | biostudies-literature | 2011 Dec

REPOSITORIES: biostudies-literature