Verbakel, JY;
Van den Bruel, A;
Thompson, M;
Stevens, R;
Aertgeerts, B;
Oostenbrink, R;
Moll, HA;
... European Research Network on Recognising Serious Infection (ERNI; + view all
(2013)
How well do clinical prediction rules perform in identifying serious infections in acutely ill children across an international network of ambulatory care datasets?
BMC Medicine
, 11
, Article 10. 10.1186/1741-7015-11-10.
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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.
| Type: | Article |
|---|---|
| Title: | How well do clinical prediction rules perform in identifying serious infections in acutely ill children across an international network of ambulatory care datasets? |
| Location: | England |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1186/1741-7015-11-10 |
| Publisher version: | http://dx.doi.org/10.1186/1741-7015-11-10 |
| Language: | English |
| Additional information: | PMCID: PMC3566974 © 2013 Verbakel et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | Acute Disease, Adolescent, Ambulatory Care, Belgium, Child, Child, Preschool, Clinical Medicine, Communicable Diseases, Decision Support Techniques, Female, Great Britain, Humans, Infant, Infant, Newborn, International Cooperation, Male, Netherlands, Practice Guidelines as Topic, Sensitivity and Specificity |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health > Population, Policy and Practice Dept |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1384560 |
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