Format

Send to

Choose Destination
PLoS One. 2016 Feb 9;11(2):e0146733. doi: 10.1371/journal.pone.0146733. eCollection 2016.

Urinary Colorimetric Sensor Array and Algorithm to Distinguish Kawasaki Disease from Other Febrile Illnesses.

Author information

1
Institution of Microanalytical System, Zhejiang University, Hangzhou, Zhejiang, China.
2
Department of Surgery, Stanford University, Stanford, California, United States of America.
3
Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai, China.
4
Department of Pediatrics, University of California San Diego, La Jolla, California, United States of America.
5
Rady Children's Hospital San Diego, San Diego, California, United States of America.
6
Department of Pediatrics, Stanford University, Stanford, California, United States of America.

Abstract

OBJECTIVES:

Kawasaki disease (KD) is an acute pediatric vasculitis of infants and young children with unknown etiology and no specific laboratory-based test to identify. A specific molecular diagnostic test is urgently needed to support the clinical decision of proper medical intervention, preventing subsequent complications of coronary artery aneurysms. We used a simple and low-cost colorimetric sensor array to address the lack of a specific diagnostic test to differentiate KD from febrile control (FC) patients with similar rash/fever illnesses.

STUDY DESIGN:

Demographic and clinical data were prospectively collected for subjects with KD and FCs under standard protocol. After screening using a genetic algorithm, eleven compounds including metalloporphyrins, pH indicators, redox indicators and solvatochromic dye categories, were selected from our chromatic compound library (n = 190) to construct a colorimetric sensor array for diagnosing KD. Quantitative color difference analysis led to a decision-tree-based KD diagnostic algorithm.

RESULTS:

This KD sensing array allowed the identification of 94% of KD subjects (receiver operating characteristic [ROC] area under the curve [AUC] 0.981) in the training set (33 KD, 33 FC) and 94% of KD subjects (ROC AUC: 0.873) in the testing set (16 KD, 17 FC). Color difference maps reconstructed from the digital images of the sensing compounds demonstrated distinctive patterns differentiating KD from FC patients.

CONCLUSIONS:

The colorimetric sensor array, composed of common used chemical compounds, is an easily accessible, low-cost method to realize the discrimination of subjects with KD from other febrile illness.

PMID:
26859297
PMCID:
PMC4747548
DOI:
10.1371/journal.pone.0146733
[Indexed for MEDLINE]
Free PMC Article

Supplemental Content

Full text links

Icon for Public Library of Science Icon for PubMed Central
Loading ...
Support Center