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How well do clinical prediction rules perform in identifying serious infections in acutely ill children across an international network of ambulatory care datasets?

Abstract:

BACKGROUND: Diagnosing serious infections in children is challenging, because of the low incidence of such infections and their non-specific presentation early in the course of illness. Prediction rules are promoted as a means to improve recognition of serious infections. A recent systematic review identified seven clinical prediction rules, of which only one had been prospectively validated, calling into question their appropriateness for clinical practice. We aimed to examine the diagnostic...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.1186/1741-7015-11-10

Authors


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Institution:
University of Oxford
Department:
Oxford, MSD, Primary Care, Primary Care Health Sciences
More by this author
Institution:
University of Oxford
Department:
Oxford, MSD, Primary Care, Primary Care Health Sciences
More by this author
Institution:
University of Oxford
Department:
Oxford, MSD, Primary Care Health Sciences, PHC-Madox
More by this author
Institution:
University of Oxford
Department:
Oxford, MSD, Primary Care Health Sciences, PHC-Stats
Aertgeerts, B More by this author
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National Institute for Health Research School for Primary Care Research More from this funder
Fund for Scientific Research - Flanders More from this funder
Publisher:
BioMed Central Ltd. Publisher's website
Journal:
BMC medicine Journal website
Volume:
11
Issue:
1
Pages:
10
Publication date:
2013-01-15
DOI:
EISSN:
1741-7015
ISSN:
1741-7015
URN:
uuid:97f8ff4c-2794-401a-96f8-3f6be294f6a8
Source identifiers:
384166
Local pid:
pubs:384166

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