Employing MIC Data for Mink Pathogens to Propose Tentative Epidemiological Cut-Off Values: A Step Toward Rationalizing Antimicrobial Use in Mink

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Employing MIC Data for Mink Pathogens to Propose Tentative Epidemiological Cut-Off Values : A Step Toward Rationalizing Antimicrobial Use in Mink. / Nikolaisen, Nanett Kvist; Ronaghinia, Amir A.; Lassen, Desiree Corvera Kløve; Chehabi, Chaza Nazih; Lindegaard, Mikkel; Struve, Tina; Chriél, Mariann; Damborg, Peter; Kahlmeter, Gunnar; Jensen, Lars Bogø; Pedersen, Karl.

In: Frontiers in Veterinary Science, Vol. 7, 544594, 2020.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Nikolaisen, NK, Ronaghinia, AA, Lassen, DCK, Chehabi, CN, Lindegaard, M, Struve, T, Chriél, M, Damborg, P, Kahlmeter, G, Jensen, LB & Pedersen, K 2020, 'Employing MIC Data for Mink Pathogens to Propose Tentative Epidemiological Cut-Off Values: A Step Toward Rationalizing Antimicrobial Use in Mink', Frontiers in Veterinary Science, vol. 7, 544594. https://doi.org/10.3389/fvets.2020.544594

APA

Nikolaisen, N. K., Ronaghinia, A. A., Lassen, D. C. K., Chehabi, C. N., Lindegaard, M., Struve, T., Chriél, M., Damborg, P., Kahlmeter, G., Jensen, L. B., & Pedersen, K. (2020). Employing MIC Data for Mink Pathogens to Propose Tentative Epidemiological Cut-Off Values: A Step Toward Rationalizing Antimicrobial Use in Mink. Frontiers in Veterinary Science, 7, [544594]. https://doi.org/10.3389/fvets.2020.544594

Vancouver

Nikolaisen NK, Ronaghinia AA, Lassen DCK, Chehabi CN, Lindegaard M, Struve T et al. Employing MIC Data for Mink Pathogens to Propose Tentative Epidemiological Cut-Off Values: A Step Toward Rationalizing Antimicrobial Use in Mink. Frontiers in Veterinary Science. 2020;7. 544594. https://doi.org/10.3389/fvets.2020.544594

Author

Nikolaisen, Nanett Kvist ; Ronaghinia, Amir A. ; Lassen, Desiree Corvera Kløve ; Chehabi, Chaza Nazih ; Lindegaard, Mikkel ; Struve, Tina ; Chriél, Mariann ; Damborg, Peter ; Kahlmeter, Gunnar ; Jensen, Lars Bogø ; Pedersen, Karl. / Employing MIC Data for Mink Pathogens to Propose Tentative Epidemiological Cut-Off Values : A Step Toward Rationalizing Antimicrobial Use in Mink. In: Frontiers in Veterinary Science. 2020 ; Vol. 7.

Bibtex

@article{e815b6c77b564c3eaf6657c2b53ebfad,
title = "Employing MIC Data for Mink Pathogens to Propose Tentative Epidemiological Cut-Off Values: A Step Toward Rationalizing Antimicrobial Use in Mink",
abstract = "Optimizing antimicrobial dosage regimens and development of breakpoints for antimicrobial susceptibility testing are important prerequisites for rational antimicrobial use. The objectives of the study were 1) to produce MIC data for four mink pathogens and 2) to employ these MIC data to support the development of tentative epidemiological cut-off values (TECOFFs), which may be used for future development of mink-specific antimicrobial dosages and breakpoints.Broth microdilution was used to establish MIC distributions for 322 mink bacterial isolates of clinical origin from six European mink-producing countries. The included species were E. coli (n=162), S. delphini (n=63), S. canis (n=42), and P. aeruginosa (n=55). Sixty-four E. coli isolates and 34 S. delphini isolates were whole-genome sequenced and analyzed for antimicrobial resistance genes.No EUCAST MIC data are available on S. delphini and S. canis, hence tentative ECOFFs were suggested for the majority of the tested antimicrobials. For E. coli and P. aeruginosa, the wildtype distributions were in accordance with EUCAST data. Overall, the genotypes of the sequenced isolates were in concordance with the phenotypes.These data constitute an important piece in the puzzle of developing antimicrobial dosages and clinical breakpoints for mink. Until pharmacokinetic and clinical data become available, the (tentative) ECOFFs can be used for monitoring resistance development and as surrogates for clinical breakpoints.",
author = "Nikolaisen, {Nanett Kvist} and Ronaghinia, {Amir A.} and Lassen, {Desiree Corvera Kl{\o}ve} and Chehabi, {Chaza Nazih} and Mikkel Lindegaard and Tina Struve and Mariann Chri{\'e}l and Peter Damborg and Gunnar Kahlmeter and Jensen, {Lars Bog{\o}} and Karl Pedersen",
year = "2020",
doi = "10.3389/fvets.2020.544594",
language = "English",
volume = "7",
journal = "Frontiers in Veterinary Science",
issn = "2297-1769",
publisher = "Frontiers Media",

}

RIS

TY - JOUR

T1 - Employing MIC Data for Mink Pathogens to Propose Tentative Epidemiological Cut-Off Values

T2 - A Step Toward Rationalizing Antimicrobial Use in Mink

AU - Nikolaisen, Nanett Kvist

AU - Ronaghinia, Amir A.

AU - Lassen, Desiree Corvera Kløve

AU - Chehabi, Chaza Nazih

AU - Lindegaard, Mikkel

AU - Struve, Tina

AU - Chriél, Mariann

AU - Damborg, Peter

AU - Kahlmeter, Gunnar

AU - Jensen, Lars Bogø

AU - Pedersen, Karl

PY - 2020

Y1 - 2020

N2 - Optimizing antimicrobial dosage regimens and development of breakpoints for antimicrobial susceptibility testing are important prerequisites for rational antimicrobial use. The objectives of the study were 1) to produce MIC data for four mink pathogens and 2) to employ these MIC data to support the development of tentative epidemiological cut-off values (TECOFFs), which may be used for future development of mink-specific antimicrobial dosages and breakpoints.Broth microdilution was used to establish MIC distributions for 322 mink bacterial isolates of clinical origin from six European mink-producing countries. The included species were E. coli (n=162), S. delphini (n=63), S. canis (n=42), and P. aeruginosa (n=55). Sixty-four E. coli isolates and 34 S. delphini isolates were whole-genome sequenced and analyzed for antimicrobial resistance genes.No EUCAST MIC data are available on S. delphini and S. canis, hence tentative ECOFFs were suggested for the majority of the tested antimicrobials. For E. coli and P. aeruginosa, the wildtype distributions were in accordance with EUCAST data. Overall, the genotypes of the sequenced isolates were in concordance with the phenotypes.These data constitute an important piece in the puzzle of developing antimicrobial dosages and clinical breakpoints for mink. Until pharmacokinetic and clinical data become available, the (tentative) ECOFFs can be used for monitoring resistance development and as surrogates for clinical breakpoints.

AB - Optimizing antimicrobial dosage regimens and development of breakpoints for antimicrobial susceptibility testing are important prerequisites for rational antimicrobial use. The objectives of the study were 1) to produce MIC data for four mink pathogens and 2) to employ these MIC data to support the development of tentative epidemiological cut-off values (TECOFFs), which may be used for future development of mink-specific antimicrobial dosages and breakpoints.Broth microdilution was used to establish MIC distributions for 322 mink bacterial isolates of clinical origin from six European mink-producing countries. The included species were E. coli (n=162), S. delphini (n=63), S. canis (n=42), and P. aeruginosa (n=55). Sixty-four E. coli isolates and 34 S. delphini isolates were whole-genome sequenced and analyzed for antimicrobial resistance genes.No EUCAST MIC data are available on S. delphini and S. canis, hence tentative ECOFFs were suggested for the majority of the tested antimicrobials. For E. coli and P. aeruginosa, the wildtype distributions were in accordance with EUCAST data. Overall, the genotypes of the sequenced isolates were in concordance with the phenotypes.These data constitute an important piece in the puzzle of developing antimicrobial dosages and clinical breakpoints for mink. Until pharmacokinetic and clinical data become available, the (tentative) ECOFFs can be used for monitoring resistance development and as surrogates for clinical breakpoints.

U2 - 10.3389/fvets.2020.544594

DO - 10.3389/fvets.2020.544594

M3 - Journal article

C2 - 33195518

VL - 7

JO - Frontiers in Veterinary Science

JF - Frontiers in Veterinary Science

SN - 2297-1769

M1 - 544594

ER -

ID: 270123258