2016
DOI: 10.1016/j.jpeds.2016.05.060
|Get access via publisher |Summarize |Cite
|
Sign up to set email alerts

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 step-wise KD diagnostic algorithm combining our previously developed linear-discriminant-… Show more

Search citation statements

Order By: Relevance

Paper Sections

Select...
25
10
8
4

Citation Types

8
45
0
0

Year Published

Range
2016
2016
2026
2026

Publication Types

Select...
26
5
3
2

Relationship

4
32

Authors

Journals

citations

Cited by 36 publications

(53 citation statements)
references

References 15 publications

8
45
0
0
Order By: Relevance
How this paper cites the one you are viewing
“…The frequencies of the five KD principal criteria and illness days in this Taiwan single-center study were in line with those in the US single-center ( 17 ) and multi-center ( 23 ) validation dataset of the algorithm except for cervical lymph node (25.5%/19.5% versus 49.4%), conjunctival injection (44.1%/58.9% versus 19.7%), oropharyngeal changes (48.4%/46.8% versus 86.1%), and days of illness (5.0/5.0 versus 2.0) in FC subjects.…”
Section: Results
supporting
confidence: 83%
“…In this Taiwan single center study (Figure 2), the algorithm's testing performance is in line with our 2016 US single center (17) and US 2020 multi-center (23) analyses: sensitivity of 90.7% (379/418), specificity of 86.1% (223/259), PPV of 92.7% (379/…”
Section: Taiwan Single Center Blind Test Results
supporting
confidence: 79%
“…In this Taiwan single center study ( Figure 2 ), the algorithm’s testing performance is in line with our 2016 US single center ( 17 ) and US 2020 multi-center ( 23 ) analyses: sensitivity of 90.7% (379/418), specificity of 86.1% (223/259), PPV of 92.7% (379/409), and NPV of 90.3% (223/247); 3.5% (15/418) of the patients with KD and 2.3% (6/259) FCs were classified as indeterminate. Overall, 5.7% (24/418) of the patients with KD and 11.5% (30/259) of FCs were misclassified by the algorithm.…”
Section: Results
supporting
confidence: 74%
See 2 more Smart Citations