Epidemiological investigation of Pseudomonas aeruginosa isolates including multidrug-resistant serogroup O12 isolates, by use of a rapid and simplified multiple-locus variable-number of tandem repeats analysis and whole genome sequencing.
Catheter-related bacteraemia
Epidemiology
Nosocomial infection
Outbreak
Pseudomonas aeruginosa
Whole genome sequencing
Journal
The Journal of hospital infection
ISSN: 1532-2939
Titre abrégé: J Hosp Infect
Pays: England
ID NLM: 8007166
Informations de publication
Date de publication:
Dec 2022
Dec 2022
Historique:
received:
26
07
2022
revised:
05
09
2022
accepted:
12
09
2022
pubmed:
2
10
2022
medline:
16
11
2022
entrez:
1
10
2022
Statut:
ppublish
Résumé
Clustered cases of Pseudomonas aeruginosa infection in immunocompromised patients' wards require rapid characterization of a potential epidemic to guide investigations and identify the potential source of contamination. To design and evaluate a rapid and simple typing method for P. aeruginosa in comparison to whole genome sequencing (WGS). A simplified polymerase chain reaction based on multiple-locus variable-number of tandem repeats analysis (MLVA) was designed and used to investigate cases of P. aeruginosa infection and colonization in a paediatric haematology department. The method was compared to WGS by using the Illumina method. On the 17 isolates recovered from 15 children (eight from blood cultures, three from urinary tract infections, one from sputum and five stool isolates), MLVA distinguished 10 different profiles, and seven isolates from six children shared the same profile. Analysis by WGS revealed that these seven isolates belonged to sequence type ST111 and serotype O12, allowing at least three different genotypes to be distinguished among them. Five environmental strains had three MLVA profiles; one was shared with a clinical isolate but WGS excluded any relationship. The simplified and inexpensive MLVA method enabled the exclusion, in less than 5 h, of most of the unrelated isolates and thus to focus investigations on a small number of cases, whereas WGS, taking several days of work, drew definitive conclusions concerning the outbreak and the genetic relationships of the ST111 isolates circulating in the department. We conclude that sequential use of both methods is the optimal strategy to investigate clustered cases of P. aeruginosa infections.
Sections du résumé
BACKGROUND
BACKGROUND
Clustered cases of Pseudomonas aeruginosa infection in immunocompromised patients' wards require rapid characterization of a potential epidemic to guide investigations and identify the potential source of contamination.
AIM
OBJECTIVE
To design and evaluate a rapid and simple typing method for P. aeruginosa in comparison to whole genome sequencing (WGS).
METHODS
METHODS
A simplified polymerase chain reaction based on multiple-locus variable-number of tandem repeats analysis (MLVA) was designed and used to investigate cases of P. aeruginosa infection and colonization in a paediatric haematology department. The method was compared to WGS by using the Illumina method.
FINDINGS
RESULTS
On the 17 isolates recovered from 15 children (eight from blood cultures, three from urinary tract infections, one from sputum and five stool isolates), MLVA distinguished 10 different profiles, and seven isolates from six children shared the same profile. Analysis by WGS revealed that these seven isolates belonged to sequence type ST111 and serotype O12, allowing at least three different genotypes to be distinguished among them. Five environmental strains had three MLVA profiles; one was shared with a clinical isolate but WGS excluded any relationship.
CONCLUSION
CONCLUSIONS
The simplified and inexpensive MLVA method enabled the exclusion, in less than 5 h, of most of the unrelated isolates and thus to focus investigations on a small number of cases, whereas WGS, taking several days of work, drew definitive conclusions concerning the outbreak and the genetic relationships of the ST111 isolates circulating in the department. We conclude that sequential use of both methods is the optimal strategy to investigate clustered cases of P. aeruginosa infections.
Identifiants
pubmed: 36181986
pii: S0195-6701(22)00307-3
doi: 10.1016/j.jhin.2022.09.012
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
56-62Informations de copyright
Copyright © 2022 The Healthcare Infection Society. Published by Elsevier Ltd. All rights reserved.