SORA

Advancing, promoting and sharing knowledge of health through excellence in teaching, clinical practice and research into the prevention and treatment of illness

Health-care-associated infections in neonates, children, and adolescents: an analysis of paediatric data from the European Centre for Disease Prevention and Control point-prevalence survey.

Zingg, W; Hopkins, S; Gayet-Ageron, A; Holmes, A; Sharland, M; Suetens, C; ECDC PPS study group (2017) Health-care-associated infections in neonates, children, and adolescents: an analysis of paediatric data from the European Centre for Disease Prevention and Control point-prevalence survey. Lancet Infectious Diseases, 17 (4). pp. 381-389. ISSN 1474-4457 https://doi.org/10.1016/S1473-3099(16)30517-5
SGUL Authors: Sharland, Michael Roy

[img]
Preview
PDF Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (444kB) | Preview
[img]
Preview
PDF (Supplementary material) Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (329kB) | Preview

Abstract

BACKGROUND: In 2011-12, the European Centre for Disease Prevention and Control (ECDC) held the first Europe-wide point-prevalence survey of health-care-associated infections in acute care hospitals. We analysed paediatric data from this survey, aiming to calculate the prevalence and type of health-care-associated infections in children and adolescents in Europe and to determine risk factors for infection in this population. METHODS: Point-prevalence surveys took place from May, 2011, to November, 2012, in 1149 hospitals in EU Member States, Iceland, Norway, and Croatia. Patients present on the ward at 0800 h on the day of the survey and who were not discharged at the time of the survey were included. Data were collected by locally trained health-care workers according to patient-based or unit-based protocols. We extracted data from the ECDC database for all paediatric patients (age 0-18 years). We report adjusted prevalence for health-care-associated infections by clustering at the hospital and country level. We also calculated risk factors for development of health-care-associated infections with use of a generalised linear mixed-effects model. FINDINGS: We analysed data for 17 273 children and adolescents from 29 countries. 770 health-care-associated infections were reported in 726 children and adolescents, corresponding to a prevalence of 4·2% (95% CI 3·7-4·8). Bloodstream infections were the most common type of infection (343 [45%] infections), followed by lower respiratory tract infections (171 [22%]), gastrointestinal infections (64 [8%]), eye, ear, nose, and throat infections (55 [7%]), urinary tract infections (37 [5%]), and surgical-site infections (34 [4%]). The prevalence of infections was highest in paediatric intensive care units (15·5%, 95% CI 11·6-20·3) and neonatal intensive care units (10·7%, 9·0-12·7). Independent risk factors for infection were age younger than 12 months, fatal disease (via ultimately and rapidly fatal McCabe scores), prolonged length of stay, and the use of invasive medical devices. 392 microorganisms were reported for 342 health-care-associated infections, with Enterobacteriaceae being the most frequently found (113 [15%]). INTERPRETATION: Infection prevention and control strategies in children should focus on prevention of bloodstream infections, particularly among neonates and infants. FUNDING: None.

Item Type: Article
Additional Information: © 2017. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Keywords: Microbiology, 1103 Clinical Sciences, 1108 Medical Microbiology
SGUL Research Institute / Research Centre: Academic Structure > Infection and Immunity Research Institute (INII)
Journal or Publication Title: Lancet Infectious Diseases
ISSN: 1474-4457
Language: eng
Dates:
DateEvent
April 2017Published
13 January 2017Published Online
23 November 2016Accepted
Publisher License: Creative Commons: Attribution-Noncommercial-No Derivative Works 4.0
PubMed ID: 28089444
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/108494
Publisher's version: https://doi.org/10.1016/S1473-3099(16)30517-5

Actions (login required)

Edit Item Edit Item