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An evidence-based algorithm for early prognosis of severe dengue in the outpatient setting.

Abstract:

BACKGROUND: Early prediction of severe dengue could significantly assist patient triage and case management.
METHODS: We prospectively investigated 7563 children with ≤3 days of fever recruited in the outpatient departments of six hospitals in southern Vietnam between 2010 and 2013. The primary endpoint of interest was severe dengue (2009 WHO Guidelines) and pre-defined risk variables were collected at the time of enrolment to enable prognostic model development.
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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1093/cid/ciw863

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Publisher:
Oxford University Press Publisher's website
Journal:
Clinical Infectious Diseases Journal website
Volume:
64
Issue:
5
Pages:
656-663
Publication date:
2016-12-28
Acceptance date:
2016-12-01
DOI:
EISSN:
1537-6591
ISSN:
1058-4838
Source identifiers:
668989
Language:
English
Keywords:
Pubs id:
pubs:668989
UUID:
uuid:a7f197a3-d19d-462c-bb9c-bce55963e71a
Local pid:
pubs:668989
Deposit date:
2017-02-01

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