A Classification Tool for Differentiation of Kawasaki Disease from Other Febrile Illnesses.

ABSTRACT:

Objective

To develop and validate a novel decision tree-based clinical algorithm to differentiate Kawasaki disease (KD) from other pediatric febrile illnesses that share common clinical characteristics.

Study design

Using clinical and laboratory data from 801 subjects with acute KD (533 for development, and 268 for validation) and 479 febrile control subjects (318 for development, and 161 for validation), we developed a stepwise KD diagnostic algorithm combining our previously developed linear discriminant analysis (LDA)-based model with a newly developed tree-based algorithm.

Results

The primary model (LDA) stratified the 1280 subjects into febrile controls (n = 276), indeterminate (n = 247), and KD (n = 757) subgroups. The subsequent model (decision trees) further c

SUBMITTER: Hao S 

PROVIDER: S-EPMC5003696 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature