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The need to improve antimicrobial susceptibility testing capacity in Ugandan health facilities: insights from a surveillance primer

BACKGROUND: Lab-based surveillance (LBS) of antimicrobial resistance (AMR) is not systematically implemented in Uganda. We aimed to identify the gaps in establishing regular LBS of AMR in Uganda. METHODS: This was a retrospective records review. It was done at Mulago Hospital (MH) Microbiology Lab (...

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Autores principales: Chaplain, Duku, Asutaku, Butti Ben, Mona, Muhammad, Bulafu, Douglas, Aruhomukama, Dickson
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8812180/
https://www.ncbi.nlm.nih.gov/pubmed/35115045
http://dx.doi.org/10.1186/s13756-022-01072-4
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author Chaplain, Duku
Asutaku, Butti Ben
Mona, Muhammad
Bulafu, Douglas
Aruhomukama, Dickson
author_facet Chaplain, Duku
Asutaku, Butti Ben
Mona, Muhammad
Bulafu, Douglas
Aruhomukama, Dickson
author_sort Chaplain, Duku
collection PubMed
description BACKGROUND: Lab-based surveillance (LBS) of antimicrobial resistance (AMR) is not systematically implemented in Uganda. We aimed to identify the gaps in establishing regular LBS of AMR in Uganda. METHODS: This was a retrospective records review. It was done at Mulago Hospital (MH) Microbiology Lab (MHL). It analyzed lab records on bacteria and their antimicrobial susceptibility profiles (ASPs) over 6 months. Since MH is the national referral hospital, we hypothesized that (1) MHL is the best resourced and that any limitations seen here are amplified in labs at regional referral hospitals (RRHs) and health centers (HCs); (2) data from MHL on LBS mirrors that from labs at RRHs and HCs; (3) the state of records from MHL show lab performance and the presence or absence of standard operating procedures (SOPs), as would be the case at RRHs and HCs. RESULTS: The lab got 1760 samples over the six months. The most common sample was urine (659, 37.4%). From the 1760 samples, data on 478 bacterial isolates were available. Urine gave the most isolates (159, 33.3%). Most of the isolates were gram-negative (267, 55.9%). Escherichia coli (100, 37%) was the most common gram-negative (of the Enterobacteriaceae). Pseudomonas aeruginosa (17, 6%) was the most common gram-negative (of the non-Enterobacteriaceae). The gram-negative bacteria were highly resistant to β-lactams. These were highly sensitive to carbapenems. The Staphylococcus aureus were highly resistant to β-lactams. The gram-positive bacteria were highly sensitive to vancomycin. ASPs for all bacterial categories were incomplete. CONCLUSIONS: The findings from MHL suggest that there is a need to improve antimicrobial susceptibility testing capacity. They also suggest that the situation at RRHs and HCs around the country could be worse. So, there is a need to extend the political will, which already exists, into operational and implementation action.
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spelling pubmed-88121802022-02-03 The need to improve antimicrobial susceptibility testing capacity in Ugandan health facilities: insights from a surveillance primer Chaplain, Duku Asutaku, Butti Ben Mona, Muhammad Bulafu, Douglas Aruhomukama, Dickson Antimicrob Resist Infect Control Research BACKGROUND: Lab-based surveillance (LBS) of antimicrobial resistance (AMR) is not systematically implemented in Uganda. We aimed to identify the gaps in establishing regular LBS of AMR in Uganda. METHODS: This was a retrospective records review. It was done at Mulago Hospital (MH) Microbiology Lab (MHL). It analyzed lab records on bacteria and their antimicrobial susceptibility profiles (ASPs) over 6 months. Since MH is the national referral hospital, we hypothesized that (1) MHL is the best resourced and that any limitations seen here are amplified in labs at regional referral hospitals (RRHs) and health centers (HCs); (2) data from MHL on LBS mirrors that from labs at RRHs and HCs; (3) the state of records from MHL show lab performance and the presence or absence of standard operating procedures (SOPs), as would be the case at RRHs and HCs. RESULTS: The lab got 1760 samples over the six months. The most common sample was urine (659, 37.4%). From the 1760 samples, data on 478 bacterial isolates were available. Urine gave the most isolates (159, 33.3%). Most of the isolates were gram-negative (267, 55.9%). Escherichia coli (100, 37%) was the most common gram-negative (of the Enterobacteriaceae). Pseudomonas aeruginosa (17, 6%) was the most common gram-negative (of the non-Enterobacteriaceae). The gram-negative bacteria were highly resistant to β-lactams. These were highly sensitive to carbapenems. The Staphylococcus aureus were highly resistant to β-lactams. The gram-positive bacteria were highly sensitive to vancomycin. ASPs for all bacterial categories were incomplete. CONCLUSIONS: The findings from MHL suggest that there is a need to improve antimicrobial susceptibility testing capacity. They also suggest that the situation at RRHs and HCs around the country could be worse. So, there is a need to extend the political will, which already exists, into operational and implementation action. BioMed Central 2022-02-03 /pmc/articles/PMC8812180/ /pubmed/35115045 http://dx.doi.org/10.1186/s13756-022-01072-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Chaplain, Duku
Asutaku, Butti Ben
Mona, Muhammad
Bulafu, Douglas
Aruhomukama, Dickson
The need to improve antimicrobial susceptibility testing capacity in Ugandan health facilities: insights from a surveillance primer
title The need to improve antimicrobial susceptibility testing capacity in Ugandan health facilities: insights from a surveillance primer
title_full The need to improve antimicrobial susceptibility testing capacity in Ugandan health facilities: insights from a surveillance primer
title_fullStr The need to improve antimicrobial susceptibility testing capacity in Ugandan health facilities: insights from a surveillance primer
title_full_unstemmed The need to improve antimicrobial susceptibility testing capacity in Ugandan health facilities: insights from a surveillance primer
title_short The need to improve antimicrobial susceptibility testing capacity in Ugandan health facilities: insights from a surveillance primer
title_sort need to improve antimicrobial susceptibility testing capacity in ugandan health facilities: insights from a surveillance primer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8812180/
https://www.ncbi.nlm.nih.gov/pubmed/35115045
http://dx.doi.org/10.1186/s13756-022-01072-4
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