Hospital clusters of invasive Group B Streptococcal disease: A systematic review.
Adult
Aged
Aged, 80 and over
Bacteriophage Typing
Cluster Analysis
Cross Infection
/ epidemiology
Disease Outbreaks
Epidemiological Monitoring
Female
Hospitals
Humans
Infant
Infant, Newborn
Male
Middle Aged
Molecular Typing
Neonatal Sepsis
/ epidemiology
Streptococcal Infections
/ epidemiology
Streptococcus agalactiae
/ isolation & purification
Adult
Cluster
Group B streptococcal disease
Healthcare-associated infection
Neonatal
Outbreak
Streptococcus agalactiae
Systematic review
Journal
The Journal of infection
ISSN: 1532-2742
Titre abrégé: J Infect
Pays: England
ID NLM: 7908424
Informations de publication
Date de publication:
12 2019
12 2019
Historique:
received:
04
11
2019
accepted:
08
11
2019
pubmed:
17
11
2019
medline:
16
7
2020
entrez:
17
11
2019
Statut:
ppublish
Résumé
To characterize outbreaks of invasive Group B Streptococcal (iGBS) disease in hospitals. Systematic review using electronic databases to identify studies describing iGBS outbreaks/clusters or cross-infection/acquisition in healthcare settings where 'cluster' was defined as ≥2 linked cases. PROSPERO CRD42018096297. Twenty-five references were included describing 30 hospital clusters (26 neonatal, 4 adult) in 11 countries from 1966 to 2019. Cross-infection between unrelated neonates was reported in 19 clusters involving an early-onset (<7 days of life; n = 3), late-onset (7-90 days; n = 13) index case or colonized infant (n = 3) followed by one or more late-onset cases (median serial interval 9 days (IQR 3-17, range 0-50 days, n = 45)); linkage was determined by phage typing in 3 clusters, PFGE/MLST/PCR in 8, WGS in 4, non-molecular methods in 4. Postulated routes of transmission in neonatal clusters were via clinical personnel and equipment, particularly during periods of crowding and high patient-to-nurse ratio. Of 4 adult clusters, one was attributed to droplet spread between respiratory cases, one to handling of haemodialysis catheters and two unspecified. Long intervals between cases were identified in most of the clusters, a characteristic which potentially hinders detection of GBS hospital outbreaks without enhanced surveillance supported by genomics.
Identifiants
pubmed: 31733233
pii: S0163-4453(19)30346-9
doi: 10.1016/j.jinf.2019.11.008
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Systematic Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
521-527Subventions
Organisme : Medical Research Council
ID : MR/R015600/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/S016570/1
Pays : United Kingdom
Commentaires et corrections
Type : CommentIn
Informations de copyright
Copyright © 2019. Published by Elsevier Ltd.