About: Sensitivity and Specificity of a Novel Classifier for the Early Diagnosis of Dengue

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Sensitivity and Specificity of a Novel Classifier for the Early Diagnosis of Dengue
Creator	Wills, Bridget Wolbers, Marcel Hubbard, Sonya Loi, Phan Chau, Bich Chau, Vinh Duong, Binh Duong, Thi Hung, Nguyen Kien, Le Da Ha, Nguyen Mot, Dau Nguyen, Tran Nhan, Ho Quang, Han Simmons, Cameron Tram, Ta Tuan, Ha Tuan, Nguyen Van, Nguyen
Source	PMC
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.
has issue date	2015-04-02(xsd:dateTime)
bibo:doi	10.1371/journal.pntd.0003638
bibo:pmid	25836753
has license	cc-by
sha1sum (hex)	becb2b5961d536efc8f0a0b535aeaf7e78d3d273
schema:url	https://doi.org/10.1371/journal.pntd.0003638
resource representing a document's title	Sensitivity and Specificity of a Novel Classifier for the Early Diagnosis of Dengue
has PubMed Central identifier	PMC4383489
has PubMed identifier	25836753
schema:publication	PLoS Negl Trop Dis
resource representing a document's body	covid:becb2b5961d536efc8f0a0b535aeaf7e78d3d273#body_text
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