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

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.

Verfasser: Verbakel, JY
Van den Bruel, A
Thompson, M
Stevens, R
Aertgeerts, B
Oostenbrink, R
Moll, HA
Berger, MY
Lakhanpaul, M
Mant, D
Buntinx, F
European Research Network on Recognising Serious Infection (ERNI
Dokumenttyp: Artikel
Erscheinungsdatum: 2013
Schlagwörter: Acute Disease / Adolescent / Ambulatory Care / Belgium / Child / Preschool / Clinical Medicine / Communicable Diseases / Decision Support Techniques / Female / Great Britain / Humans / Infant / Newborn / International Cooperation / Male / Netherlands / Practice Guidelines as Topic / Sensitivity and Specificity
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-29186152
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://discovery.ucl.ac.uk/id/eprint/1384560/1/1741-7015-11-10.pdf