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  3. Antibiotic resistance in Swiss nursing homes: analysis of National Surveillance Data over an 11-year period between 2007 and 2017
 

Antibiotic resistance in Swiss nursing homes: analysis of National Surveillance Data over an 11-year period between 2007 and 2017

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BORIS DOI
10.7892/boris.125626
Date of Publication
2018
Publication Type
Article
Division/Institute

Institut für Infektio...

Author
Kohler, Philipp
Fulchini, Rosamaria
Albrich, Werner C.
Egli, Adrian
Balmelli, Carlo
Harbarth, Stephan
Héquet, Delphine
Kahlert, Christian R.
Kuster, Stefan P.
Petignat, Christiane
Schlegel, Matthias
Kronenberg, Andreas Oskarorcid-logo
Institut für Infektionskrankheiten
Subject(s)

500 - Science::570 - ...

600 - Technology::610...

Series
Antimicrobial Resistance and Infection Control
ISSN or ISBN (if monograph)
2047-2994
Publisher
BioMed Central
Language
English
Publisher DOI
10.1186/s13756-018-0378-1
PubMed ID
30038781
Description
BACKGROUND:
We evaluated data from isolates of nursing home (NH) patients sent to the Swiss centre for antibiotic resistance (ANRESIS). We focussed on carbapenem-resistance (CR) among Gram-negative pathogens, extended-spectrum cephalosporin-resistant (ESC-R) Escherichia coli/Klebsiella pneumoniae, methicillin-resistant Staphylococcus aureus (MRSA), and glycopeptide-resistant enterococci (GRE).

METHODS:
NH patient isolates from 01/2007 to 10/2017 were extracted. Temporal trends in resistance were described and risk factors associated with ESC-R and MRSA were assessed. For every administrative subdivision in Switzerland (i.e. canton), we calculated a coverage rate, defined as number of beds of governmentally-supported nursing homes, which sent ≥1 isolate in each 2014, 2015, and 2016, divided by the total number of supported beds.

RESULTS:
We identified 16'804 samples from 9'940 patients. A majority of samples (12'040; 71.6%) originated from the French/Italian speaking part of Switzerland. ESC-R E. coli increased from 5% (16/299) in 2007 to 22% (191/884) in 2017 (P < 0.01), whereas MRSA decreased from 34% (35/102) to 26% (21/81) (P < 0.01). Provenience from the German (vs. French/Italian) speaking part of Switzerland was associated with decreased risk for ESC-R (OR 0.5, 95% CI 0.4-0.7) and for MRSA (OR 0.1, 95% CI 0.1-0.2). CR among Pseudomonas aeruginosa was 10% (105/1096) and showed an increasing trend over time; CR among Enterobacteriaceae (37/12'423, 0.3%) and GRE (5/1'273, 0.4%) were uncommon. Overall coverage rate was 9% (range 0-58% per canton). There was a significant difference between the French/Italian (median 13%, interquartile range [IQR] 4-43%) and the German speaking cantons (median 0%, IQR 0-5%) (P = 0.02).

CONCLUSIONS:
ESC-R among E. coli is emerging in Swiss NHs, whereas MRSA show a declining trend over time. A minority of NHs are represented in ANRESIS, with a preponderance of institutions from the French/Italian speaking regions. Efforts should be undertaken to improve resistance surveillance in this high-risk setting.
Handle
https://boris-portal.unibe.ch/handle/20.500.12422/63606
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