Novel data-mining approach identifies biomarkers for diagnosis of Kawasaki disease.

ABSTRACT:

Background

As Kawasaki disease (KD) shares many clinical features with other more common febrile illnesses and misdiagnosis, leading to a delay in treatment, increases the risk of coronary artery damage, a diagnostic test for KD is urgently needed. We sought to develop a panel of biomarkers that could distinguish between acute KD patients and febrile controls (FC) with sufficient accuracy to be clinically useful.

Methods

Plasma samples were collected from three independent cohorts of FC and acute KD patients who met the American Heart Association definition for KD and presented within the first 10 d of fever. The levels of 88 biomarkers associated with inflammation were assessed by Luminex bead technology. Unsupervised clustering followed by supervised clustering using a Ran

SUBMITTER: Tremoulet AH 

PROVIDER: S-EPMC4628575 | biostudies-literature | 2015 Nov

REPOSITORIES: biostudies-literature