Risk factors for urinary tract infections in children aged 0-36months presenting with fever without source and evaluated for risk of serious bacterial infections.

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Serval ID
serval:BIB_D97A8C050C94
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Risk factors for urinary tract infections in children aged 0-36months presenting with fever without source and evaluated for risk of serious bacterial infections.
Journal
Archives de pediatrie
Author(s)
Williams-Smith J.A., Fougère Y., Pauchard J.Y., Asner S., Gehri M., Crisinel P.A.
ISSN
1769-664X (Electronic)
ISSN-L
0929-693X
Publication state
Published
Issued date
10/2020
Peer-reviewed
Oui
Volume
27
Number
7
Pages
372-379
Language
english
Notes
Publication types: Clinical Trial ; Journal Article
Publication Status: ppublish
Abstract
Children younger than 36 months with fever without a source (FWS) are at risk of serious bacterial infections (SBI). The risk of occult bacteremia (OB) has been greatly reduced in vaccinated children. The aim of this study is to describe the epidemiology of SBI in children with FWS in our setting and to evaluate the performance of our management algorithm.
We designed a prospective cohort study. We included children aged 0-36 months presenting with FWS in our emergency unit. Demographic and clinical characteristics, investigations, and management procedures were recorded at the time of inclusion. Information on clinical evolution, final diagnosis, and immunization history were obtained after 10 days. Potential predictors of SBI were compared between patients with and without SBI.
Between October 2015 and September 2017, 173 children were recruited, with a median age of 4.4 months (2.1-1). Of these children, 166 (96%) were up to date with their vaccinations. A total of 47 children (27%) had a final diagnosis of SBI, which were all urinary tract infections (UTI). Presence of chills (odds ratio [OR] 5.6, 95% confidence interval [CI] 1.3-24.3), fever for>2 days (OR 29.1, 95% CI 3.5-243.5), and age<9 months (OR: 45.3, 95% CI: 4.9-415.7) were statistically significant predictors of UTI in a multivariate logistic regression. The sensitivity and specificity of our management algorithm were 100% (95% CI: 92.4-100%) and 21.4% (14.6-29.6%), respectively.
In the setting of high vaccination coverage, we only identified SBI related to UTIs. We could not identify any OB. Our management algorithm was able to identify all SBI, but specificity was low. Refined criteria for screening of UTI could slightly increase this.
Keywords
Algorithms, Bacterial Infections/complications, Bacterial Infections/diagnosis, Bacterial Infections/epidemiology, Bacterial Infections/therapy, Case-Control Studies, Child, Preschool, Clinical Decision Rules, Female, Fever of Unknown Origin/etiology, Follow-Up Studies, Humans, Infant, Infant, Newborn, Logistic Models, Male, Prevalence, Prospective Studies, Risk Assessment, Risk Factors, Sensitivity and Specificity, Severity of Illness Index, Switzerland/epidemiology, Treatment Outcome, Urinary Tract Infections/complications, Urinary Tract Infections/diagnosis, Urinary Tract Infections/epidemiology, Urinary Tract Infections/therapy, Children, Fever without source, Urinary tract infection
Pubmed
Web of science
Open Access
Yes
Create date
03/06/2020 10:08
Last modification date
30/04/2024 7:05
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