Title: How well do clinical prediction rules perform in identifying serious infections in acutely ill children across an international network of ambulatory care datasets?
Authors: Verbakel, Jan ×
Van den Bruel, Ann
Thompson, Matthew
Stevens, Richard
Aertgeerts, Bert
Oostenbrink, Rianne
Moll, Henriette A
Berger, Marjolein Y
Lakhanpaul, Monica
Mant, David
Buntinx, Frank
European Research Network on Recognising Serious Infection (ERNIE) #
Issue Date: 15-Jan-2013
Publisher: BioMed Central
Series Title: BMC Medicine vol:11 pages:10
Article number: 10.1186/1741-7015-11-10
Abstract: 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 accuracy of these rules in multiple ambulatory care populations in Europe.
ISSN: 1741-7015
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Academic Center for General Practice
× corresponding author
# (joint) last author

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