Journal article
An evidence-based algorithm for early prognosis of severe dengue in the outpatient setting.
- Abstract:
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BACKGROUND: Early prediction of severe dengue could significantly assist patient triage and case management.
Expand abstract
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.
RESULT...
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Version of record, pdf, 1.3MB)
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- Publisher copy:
- 10.1093/cid/ciw863
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Authors
Funding
Bibliographic Details
- 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:
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1537-6591
- ISSN:
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1058-4838
- Source identifiers:
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668989
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
pubs:668989
- UUID:
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uuid:a7f197a3-d19d-462c-bb9c-bce55963e71a
- Local pid:
- pubs:668989
- Deposit date:
- 2017-02-01
Terms of use
- Copyright holder:
- Nguyen et al.
- Copyright date:
- 2016
- Notes:
- © The Author 2016. Published by Oxford University Press for the Infectious Diseases Society of America. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence.
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