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A global repository of novel antimicrobial emergence events
Despite considerable global surveillance of antimicrobial resistance (AMR), data on the global emergence of new resistance genotypes in bacteria has not been systematically compiled. We conducted a study of English-language scientific literature (2006-2017) and ProMED-mail disease surveillance repor...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8596184/ https://www.ncbi.nlm.nih.gov/pubmed/34909196 http://dx.doi.org/10.12688/f1000research.26870.2 |
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author | Mendelsohn, Emma Ross, Noam White, Allison M. Whiting, Karissa Basaraba, Cale Watson Madubuonwu, Brooke Johnson, Erica Dualeh, Mushtaq Matson, Zach Dattaray, Sonia Ezeokoli, Nchedochukwu Kirshenbaum Lieberman, Melanie Kotcher, Jacob Maher, Samantha Zambrana-Torrelio, Carlos Daszak, Peter |
author_facet | Mendelsohn, Emma Ross, Noam White, Allison M. Whiting, Karissa Basaraba, Cale Watson Madubuonwu, Brooke Johnson, Erica Dualeh, Mushtaq Matson, Zach Dattaray, Sonia Ezeokoli, Nchedochukwu Kirshenbaum Lieberman, Melanie Kotcher, Jacob Maher, Samantha Zambrana-Torrelio, Carlos Daszak, Peter |
author_sort | Mendelsohn, Emma |
collection | PubMed |
description | Despite considerable global surveillance of antimicrobial resistance (AMR), data on the global emergence of new resistance genotypes in bacteria has not been systematically compiled. We conducted a study of English-language scientific literature (2006-2017) and ProMED-mail disease surveillance reports (1994-2017) to identify global events of novel AMR emergence (first clinical reports of unique drug-bacteria resistance combinations). We screened 24,966 abstracts and reports, ultimately identifying 1,757 novel AMR emergence events from 268 peer-reviewed studies and 26 disease surveillance reports (294 total). Events were reported in 66 countries, with most events in the United States (152), China (128), and India (127). The most common bacteria demonstrating new resistance were Klebsiella pneumoniae (344) and Escherichia coli (218). Resistance was most common against antibiotic drugs imipenem (89 events), ciprofloxacin (84) and ceftazidime (83). We provide an open-access database of emergence events with standardized fields for bacterial species, drugs, location, and date. We discuss the impact of reporting and surveillance bias on database coverage, and we suggest guidelines for data analysis. This database may be broadly useful for understanding rates and patterns of AMR evolution, identifying global drivers and correlates, and targeting surveillance and interventions. |
format | Online Article Text |
id | pubmed-8596184 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
spelling | pubmed-85961842021-12-13 A global repository of novel antimicrobial emergence events Mendelsohn, Emma Ross, Noam White, Allison M. Whiting, Karissa Basaraba, Cale Watson Madubuonwu, Brooke Johnson, Erica Dualeh, Mushtaq Matson, Zach Dattaray, Sonia Ezeokoli, Nchedochukwu Kirshenbaum Lieberman, Melanie Kotcher, Jacob Maher, Samantha Zambrana-Torrelio, Carlos Daszak, Peter F1000Res Data Note Despite considerable global surveillance of antimicrobial resistance (AMR), data on the global emergence of new resistance genotypes in bacteria has not been systematically compiled. We conducted a study of English-language scientific literature (2006-2017) and ProMED-mail disease surveillance reports (1994-2017) to identify global events of novel AMR emergence (first clinical reports of unique drug-bacteria resistance combinations). We screened 24,966 abstracts and reports, ultimately identifying 1,757 novel AMR emergence events from 268 peer-reviewed studies and 26 disease surveillance reports (294 total). Events were reported in 66 countries, with most events in the United States (152), China (128), and India (127). The most common bacteria demonstrating new resistance were Klebsiella pneumoniae (344) and Escherichia coli (218). Resistance was most common against antibiotic drugs imipenem (89 events), ciprofloxacin (84) and ceftazidime (83). We provide an open-access database of emergence events with standardized fields for bacterial species, drugs, location, and date. We discuss the impact of reporting and surveillance bias on database coverage, and we suggest guidelines for data analysis. This database may be broadly useful for understanding rates and patterns of AMR evolution, identifying global drivers and correlates, and targeting surveillance and interventions. F1000 Research Limited 2021-06-21 /pmc/articles/PMC8596184/ /pubmed/34909196 http://dx.doi.org/10.12688/f1000research.26870.2 Text en Copyright: © 2021 Mendelsohn E et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Data Note Mendelsohn, Emma Ross, Noam White, Allison M. Whiting, Karissa Basaraba, Cale Watson Madubuonwu, Brooke Johnson, Erica Dualeh, Mushtaq Matson, Zach Dattaray, Sonia Ezeokoli, Nchedochukwu Kirshenbaum Lieberman, Melanie Kotcher, Jacob Maher, Samantha Zambrana-Torrelio, Carlos Daszak, Peter A global repository of novel antimicrobial emergence events |
title | A global repository of novel antimicrobial emergence events |
title_full | A global repository of novel antimicrobial emergence events |
title_fullStr | A global repository of novel antimicrobial emergence events |
title_full_unstemmed | A global repository of novel antimicrobial emergence events |
title_short | A global repository of novel antimicrobial emergence events |
title_sort | global repository of novel antimicrobial emergence events |
topic | Data Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8596184/ https://www.ncbi.nlm.nih.gov/pubmed/34909196 http://dx.doi.org/10.12688/f1000research.26870.2 |
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