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

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, m...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6053768/
https://www.ncbi.nlm.nih.gov/pubmed/30038781
http://dx.doi.org/10.1186/s13756-018-0378-1
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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
author_facet 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
author_sort Kohler, Philipp
collection PubMed
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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13756-018-0378-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-60537682018-07-23 Antibiotic resistance in Swiss nursing homes: analysis of National Surveillance Data over an 11-year period between 2007 and 2017 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 Antimicrob Resist Infect Control Research 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13756-018-0378-1) contains supplementary material, which is available to authorized users. BioMed Central 2018-07-20 /pmc/articles/PMC6053768/ /pubmed/30038781 http://dx.doi.org/10.1186/s13756-018-0378-1 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
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
Antibiotic resistance in Swiss nursing homes: analysis of National Surveillance Data over an 11-year period between 2007 and 2017
title Antibiotic resistance in Swiss nursing homes: analysis of National Surveillance Data over an 11-year period between 2007 and 2017
title_full Antibiotic resistance in Swiss nursing homes: analysis of National Surveillance Data over an 11-year period between 2007 and 2017
title_fullStr Antibiotic resistance in Swiss nursing homes: analysis of National Surveillance Data over an 11-year period between 2007 and 2017
title_full_unstemmed Antibiotic resistance in Swiss nursing homes: analysis of National Surveillance Data over an 11-year period between 2007 and 2017
title_short Antibiotic resistance in Swiss nursing homes: analysis of National Surveillance Data over an 11-year period between 2007 and 2017
title_sort antibiotic resistance in swiss nursing homes: analysis of national surveillance data over an 11-year period between 2007 and 2017
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6053768/
https://www.ncbi.nlm.nih.gov/pubmed/30038781
http://dx.doi.org/10.1186/s13756-018-0378-1
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