Sensitivity and specificity of a novel classifier for the early diagnosis of dengue.

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 <72 hrs 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 spe

SUBMITTER: Tuan NM 

PROVIDER: S-EPMC4383489 | biostudies-literature | 2015 Apr

REPOSITORIES: biostudies-literature