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1725. National Surveillance of Gram-negative Bacteria in Qatar, the Study for Monitoring of Antimicrobial Resistance Trends (SMART): from 2017 to 2019

BACKGROUND: Monitoring Antimicrobial Resistance Trends (SMART) is a global study for the surveillance of antimicrobial resistance (AMR) in Gram-negative bacteria (GNB) from different regions around the World including Gulf countries. To evaluate prevalence and trends in AMR in GNB from clinical spec...

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Autores principales: Sid Ahmed, Mazen A, Saleh, Thoraya M, Albirair, Mohamed, Dousa, Khalid M, Arisgado, Lolita C, Al Maslamani, Muna A, Khal, Abdul Latif Al, Ibrahim, Emad B, Hadi, Hamad Abdel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9752803/
http://dx.doi.org/10.1093/ofid/ofac492.1355
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author Sid Ahmed, Mazen A
Saleh, Thoraya M
Albirair, Mohamed
Dousa, Khalid M
Arisgado, Lolita C
Al Maslamani, Muna A
Khal, Abdul Latif Al
Ibrahim, Emad B
Hadi, Hamad Abdel
author_facet Sid Ahmed, Mazen A
Saleh, Thoraya M
Albirair, Mohamed
Dousa, Khalid M
Arisgado, Lolita C
Al Maslamani, Muna A
Khal, Abdul Latif Al
Ibrahim, Emad B
Hadi, Hamad Abdel
author_sort Sid Ahmed, Mazen A
collection PubMed
description BACKGROUND: Monitoring Antimicrobial Resistance Trends (SMART) is a global study for the surveillance of antimicrobial resistance (AMR) in Gram-negative bacteria (GNB) from different regions around the World including Gulf countries. To evaluate prevalence and trends in AMR in GNB from clinical specimens including microbiological and genomic characteristics as well as examine Antimicrobial Susceptibility Tests (AST) for existing and novel antimicrobials. METHODS: A prospective study was conducted on clinical specimens from Hamad Medical Corporation, Qatar, between 2017 and 2019 according to the SMART protocol that covers community as well as hospital-associated infections reported to secondary care. Consecutive GNB were included from different sites including lower respiratory and urinary tracts, intrabdominal, and bloodstream infections. RESULTS: Over the three years study period, 895 isolates were studied from the specified sites comprising 38 GNB with four key pathogens: Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa, and Stenotrophomonas maltophilia. Meropenem resistance was 3.6% for E. coli and 9.3% for K. pneumoniae while imipenem/relebactam resistance was 3% compared to 8% respectively. The overall ceftolozane/tazobactam resistance for E. coli was 9% (25/281) compared to 13% (34/257) for K. pneumoniae while resistance for ceftazidime/avibactam was 2% (3/137) and 4% (5/117) respectively. Genomic characteristics of 70 Enterobacterales including 48 carbapenem-resistant, revealed the prevalence of β-lactamase from all classes dominated by bla(CXM-15) while carbapenem resistance revealed a paucity of bla(KPC) and supremacy of bla(OXA-48) like and bla(NDM) resistance genes (Table 1). [Figure: see text] CONCLUSION: Surveillance of GNB from Qatar showed the prevalence of key pathogens similar to the rest of the world but demonstrated significant resistance to existing and novel antimicrobials, particularly for K. pneumoniae with different underlying resistance mechanisms. DISCLOSURES: All Authors: No reported disclosures.
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spelling pubmed-97528032022-12-16 1725. National Surveillance of Gram-negative Bacteria in Qatar, the Study for Monitoring of Antimicrobial Resistance Trends (SMART): from 2017 to 2019 Sid Ahmed, Mazen A Saleh, Thoraya M Albirair, Mohamed Dousa, Khalid M Arisgado, Lolita C Al Maslamani, Muna A Khal, Abdul Latif Al Ibrahim, Emad B Hadi, Hamad Abdel Open Forum Infect Dis Abstracts BACKGROUND: Monitoring Antimicrobial Resistance Trends (SMART) is a global study for the surveillance of antimicrobial resistance (AMR) in Gram-negative bacteria (GNB) from different regions around the World including Gulf countries. To evaluate prevalence and trends in AMR in GNB from clinical specimens including microbiological and genomic characteristics as well as examine Antimicrobial Susceptibility Tests (AST) for existing and novel antimicrobials. METHODS: A prospective study was conducted on clinical specimens from Hamad Medical Corporation, Qatar, between 2017 and 2019 according to the SMART protocol that covers community as well as hospital-associated infections reported to secondary care. Consecutive GNB were included from different sites including lower respiratory and urinary tracts, intrabdominal, and bloodstream infections. RESULTS: Over the three years study period, 895 isolates were studied from the specified sites comprising 38 GNB with four key pathogens: Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa, and Stenotrophomonas maltophilia. Meropenem resistance was 3.6% for E. coli and 9.3% for K. pneumoniae while imipenem/relebactam resistance was 3% compared to 8% respectively. The overall ceftolozane/tazobactam resistance for E. coli was 9% (25/281) compared to 13% (34/257) for K. pneumoniae while resistance for ceftazidime/avibactam was 2% (3/137) and 4% (5/117) respectively. Genomic characteristics of 70 Enterobacterales including 48 carbapenem-resistant, revealed the prevalence of β-lactamase from all classes dominated by bla(CXM-15) while carbapenem resistance revealed a paucity of bla(KPC) and supremacy of bla(OXA-48) like and bla(NDM) resistance genes (Table 1). [Figure: see text] CONCLUSION: Surveillance of GNB from Qatar showed the prevalence of key pathogens similar to the rest of the world but demonstrated significant resistance to existing and novel antimicrobials, particularly for K. pneumoniae with different underlying resistance mechanisms. DISCLOSURES: All Authors: No reported disclosures. Oxford University Press 2022-12-15 /pmc/articles/PMC9752803/ http://dx.doi.org/10.1093/ofid/ofac492.1355 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (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 Abstracts
Sid Ahmed, Mazen A
Saleh, Thoraya M
Albirair, Mohamed
Dousa, Khalid M
Arisgado, Lolita C
Al Maslamani, Muna A
Khal, Abdul Latif Al
Ibrahim, Emad B
Hadi, Hamad Abdel
1725. National Surveillance of Gram-negative Bacteria in Qatar, the Study for Monitoring of Antimicrobial Resistance Trends (SMART): from 2017 to 2019
title 1725. National Surveillance of Gram-negative Bacteria in Qatar, the Study for Monitoring of Antimicrobial Resistance Trends (SMART): from 2017 to 2019
title_full 1725. National Surveillance of Gram-negative Bacteria in Qatar, the Study for Monitoring of Antimicrobial Resistance Trends (SMART): from 2017 to 2019
title_fullStr 1725. National Surveillance of Gram-negative Bacteria in Qatar, the Study for Monitoring of Antimicrobial Resistance Trends (SMART): from 2017 to 2019
title_full_unstemmed 1725. National Surveillance of Gram-negative Bacteria in Qatar, the Study for Monitoring of Antimicrobial Resistance Trends (SMART): from 2017 to 2019
title_short 1725. National Surveillance of Gram-negative Bacteria in Qatar, the Study for Monitoring of Antimicrobial Resistance Trends (SMART): from 2017 to 2019
title_sort 1725. national surveillance of gram-negative bacteria in qatar, the study for monitoring of antimicrobial resistance trends (smart): from 2017 to 2019
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9752803/
http://dx.doi.org/10.1093/ofid/ofac492.1355
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