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Case-based surveillance of antimicrobial resistance with full susceptibility profiles
Surveillance of antimicrobial resistance (AMR) is essential for clinical decision-making and for public health authorities to monitor patterns in resistance and evaluate the effectiveness of interventions and control measures. Existing AMR surveillance is typically based on reports from hospital lab...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7134534/ https://www.ncbi.nlm.nih.gov/pubmed/32280945 http://dx.doi.org/10.1093/jacamr/dlz070 |
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author | Ryu, Sukhyun Cowling, Benjamin J Wu, Peng Olesen, Scott Fraser, Christophe Sun, Daphne S Lipsitch, Marc Grad, Yonatan H |
author_facet | Ryu, Sukhyun Cowling, Benjamin J Wu, Peng Olesen, Scott Fraser, Christophe Sun, Daphne S Lipsitch, Marc Grad, Yonatan H |
author_sort | Ryu, Sukhyun |
collection | PubMed |
description | Surveillance of antimicrobial resistance (AMR) is essential for clinical decision-making and for public health authorities to monitor patterns in resistance and evaluate the effectiveness of interventions and control measures. Existing AMR surveillance is typically based on reports from hospital laboratories and public health laboratories, comprising reports of pathogen frequencies and resistance frequencies among each species detected. Here we propose an improved framework for AMR surveillance, in which the unit of surveillance is patients with specific conditions, rather than biological samples of a particular type. In this ‘case-based’ surveillance, denominators as well as numerators will be clearly defined with clinical relevance and more comparable at the local, national and international level. In locations with sufficient resources, individual-based data on patient characteristics and full antibiotic susceptibility profiles would provide high-quality evidence for monitoring resistant pathogens of clinical importance, clinical treatment of infections and public health responses to outbreaks of infections with resistant bacteria. |
format | Online Article Text |
id | pubmed-7134534 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-71345342020-04-09 Case-based surveillance of antimicrobial resistance with full susceptibility profiles Ryu, Sukhyun Cowling, Benjamin J Wu, Peng Olesen, Scott Fraser, Christophe Sun, Daphne S Lipsitch, Marc Grad, Yonatan H JAC Antimicrob Resist Opinion Surveillance of antimicrobial resistance (AMR) is essential for clinical decision-making and for public health authorities to monitor patterns in resistance and evaluate the effectiveness of interventions and control measures. Existing AMR surveillance is typically based on reports from hospital laboratories and public health laboratories, comprising reports of pathogen frequencies and resistance frequencies among each species detected. Here we propose an improved framework for AMR surveillance, in which the unit of surveillance is patients with specific conditions, rather than biological samples of a particular type. In this ‘case-based’ surveillance, denominators as well as numerators will be clearly defined with clinical relevance and more comparable at the local, national and international level. In locations with sufficient resources, individual-based data on patient characteristics and full antibiotic susceptibility profiles would provide high-quality evidence for monitoring resistant pathogens of clinical importance, clinical treatment of infections and public health responses to outbreaks of infections with resistant bacteria. Oxford University Press 2019-12-10 /pmc/articles/PMC7134534/ /pubmed/32280945 http://dx.doi.org/10.1093/jacamr/dlz070 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of the British Society for Antimicrobial Chemotherapy. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Opinion Ryu, Sukhyun Cowling, Benjamin J Wu, Peng Olesen, Scott Fraser, Christophe Sun, Daphne S Lipsitch, Marc Grad, Yonatan H Case-based surveillance of antimicrobial resistance with full susceptibility profiles |
title | Case-based surveillance of antimicrobial resistance with full susceptibility profiles |
title_full | Case-based surveillance of antimicrobial resistance with full susceptibility profiles |
title_fullStr | Case-based surveillance of antimicrobial resistance with full susceptibility profiles |
title_full_unstemmed | Case-based surveillance of antimicrobial resistance with full susceptibility profiles |
title_short | Case-based surveillance of antimicrobial resistance with full susceptibility profiles |
title_sort | case-based surveillance of antimicrobial resistance with full susceptibility profiles |
topic | Opinion |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7134534/ https://www.ncbi.nlm.nih.gov/pubmed/32280945 http://dx.doi.org/10.1093/jacamr/dlz070 |
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