The impact of public health interventions on the future prevalence of ESBL-producing Klebsiella pneumoniae: a population based mathematical modelling study.


Journal

BMC infectious diseases
ISSN: 1471-2334
Titre abrégé: BMC Infect Dis
Pays: England
ID NLM: 100968551

Informations de publication

Date de publication:
23 May 2022
Historique:
received: 09 06 2021
accepted: 03 05 2022
entrez: 23 5 2022
pubmed: 24 5 2022
medline: 26 5 2022
Statut: epublish

Résumé

Future prevalence of colonization with extended-spectrum betalactamase (ESBL-) producing K. pneumoniae in humans and the potential of public health interventions against the spread of these resistant bacteria remain uncertain. Based on antimicrobial consumption and susceptibility data recorded during > 13 years in a Swiss region, we developed a mathematical model to assess the comparative effect of different interventions on the prevalence of colonization. Simulated prevalence stabilized in the near future when rates of antimicrobial consumption and in-hospital transmission were assumed to remain stable (2025 prevalence: 6.8% (95CI%:5.4-8.8%) in hospitals, 3.5% (2.5-5.0%) in the community versus 6.1% (5.0-7.5%) and 3.2% (2.3-4.2%) in 2019, respectively). When overall antimicrobial consumption was set to decrease by 50%, 2025 prevalence declined by 75% in hospitals and by 64% in the community. A 50% decline in in-hospital transmission rate led to a reduction in 2025 prevalence of 31% in hospitals and no reduction in the community. The best model fit estimated that 49% (6-100%) of observed colonizations could be attributable to sources other than human-to-human transmission within the geographical setting. Projections suggests that overall antimicrobial consumption will be, by far, the most powerful driver of prevalence and that a large fraction of colonizations could be attributed to non-local transmissions.

Sections du résumé

BACKGROUND BACKGROUND
Future prevalence of colonization with extended-spectrum betalactamase (ESBL-) producing K. pneumoniae in humans and the potential of public health interventions against the spread of these resistant bacteria remain uncertain.
METHODS METHODS
Based on antimicrobial consumption and susceptibility data recorded during > 13 years in a Swiss region, we developed a mathematical model to assess the comparative effect of different interventions on the prevalence of colonization.
RESULTS RESULTS
Simulated prevalence stabilized in the near future when rates of antimicrobial consumption and in-hospital transmission were assumed to remain stable (2025 prevalence: 6.8% (95CI%:5.4-8.8%) in hospitals, 3.5% (2.5-5.0%) in the community versus 6.1% (5.0-7.5%) and 3.2% (2.3-4.2%) in 2019, respectively). When overall antimicrobial consumption was set to decrease by 50%, 2025 prevalence declined by 75% in hospitals and by 64% in the community. A 50% decline in in-hospital transmission rate led to a reduction in 2025 prevalence of 31% in hospitals and no reduction in the community. The best model fit estimated that 49% (6-100%) of observed colonizations could be attributable to sources other than human-to-human transmission within the geographical setting.
CONCLUSIONS CONCLUSIONS
Projections suggests that overall antimicrobial consumption will be, by far, the most powerful driver of prevalence and that a large fraction of colonizations could be attributed to non-local transmissions.

Identifiants

pubmed: 35606726
doi: 10.1186/s12879-022-07441-z
pii: 10.1186/s12879-022-07441-z
pmc: PMC9125893
doi:

Substances chimiques

Anti-Bacterial Agents 0
beta-Lactamases EC 3.5.2.6

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

487

Informations de copyright

© 2022. The Author(s).

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Auteurs

Luisa Salazar-Vizcaya (L)

Department of Infectious Diseases, Bern University Hospital, Inselspital, University of Bern, University of Bern, Freiburgstrasse, 3010, Bern, Switzerland. luisapaola.salazarvizcaya@insel.ch.

Andrew Atkinson (A)

Department of Infectious Diseases, Bern University Hospital, Inselspital, University of Bern, University of Bern, Freiburgstrasse, 3010, Bern, Switzerland.

Andreas Kronenberg (A)

Institute for Infectious Diseases, University of Bern, Bern, Switzerland.

Catherine Plüss-Suard (C)

Institute for Infectious Diseases, University of Bern, Bern, Switzerland.

Roger D Kouyos (RD)

Institute of Medical Virology, University of Zurich, Zurich, Switzerland.
Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.

Viacheslav Kachalov (V)

Institute of Medical Virology, University of Zurich, Zurich, Switzerland.
Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.

Nicolas Troillet (N)

Service of Infectious Diseases, Central Institute, Valais Hospitals, Sion, Switzerland.

Jonas Marschall (J)

Department of Infectious Diseases, Bern University Hospital, Inselspital, University of Bern, University of Bern, Freiburgstrasse, 3010, Bern, Switzerland.

Rami Sommerstein (R)

Department of Infectious Diseases, Bern University Hospital, Inselspital, University of Bern, University of Bern, Freiburgstrasse, 3010, Bern, Switzerland. rami.sommerstein@hirslanden.ch.

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Classifications MeSH