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© 2015 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Tuan NM, Nhan HT, Chau NVV, Hung NT, Tuan HM, Tram TV, et al. (2015) Sensitivity and Specificity of a Novel Classifier for the Early Diagnosis of Dengue. PLoS Negl Trop Dis 9(4): e0003638. doi:10.1371/journal.pntd.0003638

Abstract

Background

Dengue is the commonest arboviral disease of humans. An early and accurate diagnosis of dengue can support clinical management, surveillance and disease control and is central to achieving the World Health Organisation target of a 50% reduction in dengue case mortality by 2020.

Methods

5729 children with fever of <72hrs duration were enrolled into this multicenter prospective study in southern Vietnam between 2010-2012. A composite of gold standard diagnostic tests identified 1692 dengue cases. Using statistical methods, a novel Early Dengue Classifier (EDC) was developed that used patient age, white blood cell count and platelet count to discriminate dengue cases from non-dengue cases.

Results

The EDC had a sensitivity of 74.8% (95%CI: 73.0-76.8%) and specificity of 76.3% (95%CI: 75.2-77.6%) for the diagnosis of dengue. As an adjunctive test alongside NS1 rapid testing, sensitivity of the composite test was 91.6% (95%CI: 90.4-92.9%).

Conclusions

We demonstrate that the early diagnosis of dengue can be enhanced beyond the current standard of care using a simple evidence-based algorithm. The results should support patient management and clinical trials of specific therapies.

Details

Title
Sensitivity and Specificity of a Novel Classifier for the Early Diagnosis of Dengue
Author
Tuan, Nguyen Minh; Nhan, Ho Thi; Chau, Nguyen VanVinh; Hung, Nguyen Thanh; Tuan, Ha Manh; Tram, Ta Van; Ha, Nguyen LeDa; Loi, Phan; Quang, Han Khoi; Kien, Duong ThiHue; Hubbard, Sonya; Chau, Tran NguyenBich; Wills, Bridget; Wolbers, Marcel; Simmons, Cameron P
Section
Research Article
Publication year
2015
Publication date
Apr 2015
Publisher
Public Library of Science
ISSN
19352727
e-ISSN
19352735
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1685635822
Copyright
© 2015 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Tuan NM, Nhan HT, Chau NVV, Hung NT, Tuan HM, Tram TV, et al. (2015) Sensitivity and Specificity of a Novel Classifier for the Early Diagnosis of Dengue. PLoS Negl Trop Dis 9(4): e0003638. doi:10.1371/journal.pntd.0003638