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Profiling of antibiotic resistance of bacterial species recovered from routine clinical isolates in Ethiopia

BACKGROUND: With the alarming rise in antibiotic resistance in African countries, the need for a surveillance system in the region has become pressing. The rapid expansion of data networks makes it possible to set up healthcare applications that can be both cost-efficient and effective. Large data s...

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Autores principales: ten Hove, Robert-Jan, Tesfaye, Melaku, ten Hove, Witold Frederik, Nigussie, Mesfin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5485741/
https://www.ncbi.nlm.nih.gov/pubmed/28651533
http://dx.doi.org/10.1186/s12941-017-0221-1
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author ten Hove, Robert-Jan
Tesfaye, Melaku
ten Hove, Witold Frederik
Nigussie, Mesfin
author_facet ten Hove, Robert-Jan
Tesfaye, Melaku
ten Hove, Witold Frederik
Nigussie, Mesfin
author_sort ten Hove, Robert-Jan
collection PubMed
description BACKGROUND: With the alarming rise in antibiotic resistance in African countries, the need for a surveillance system in the region has become pressing. The rapid expansion of data networks makes it possible to set up healthcare applications that can be both cost-efficient and effective. Large data sets are available for assessment of current antibiotic resistance among Ethiopian patients. Based on the data-presentation, a practical approach is proposed on how diagnostic laboratories can participate remedial action against antibiotic resistance in Ethiopia. METHODS: In Addis Ababa (Ethiopia), raw data comprising bacterial species name, specimen type and antibiograms covering the period January 2014 to May 2015 was accessed from the laboratory information management system. Using R code, the data was read and fitted into data-frames and analyzed to assess antibiotic resistance in the Ethiopian patient population. RESULTS: Susceptibility to an antibiotic was tested with 14.983 cultures of 54 different bacterial species or subgroups, isolated from 16 types of specimen. Half of the cultures (n = 6444) showed resistance to an antibiotic. Resistance against penicillin was highest with, on average, 91.1% of 79 bacterial cultures showing resistance. Very high resistance rates were also observed for ampicillin, whereas resistance was lowest with cefoxitin. CONCLUSIONS: Extraction and analysis of raw-data from the laboratory database is relatively simple and can provide valuable insight into the relationships between type of sample and drug-resistance in countries where such data is still scarce. With the largest number of antibiotic resistance tests described for Ethiopia, a tool is proposed for consistent data collection with specified core variables. Trends in antibiotic resistance can be revealed and treatment failures avoided when used as an easy accessible reference application for healthcare providers.
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spelling pubmed-54857412017-07-03 Profiling of antibiotic resistance of bacterial species recovered from routine clinical isolates in Ethiopia ten Hove, Robert-Jan Tesfaye, Melaku ten Hove, Witold Frederik Nigussie, Mesfin Ann Clin Microbiol Antimicrob Research BACKGROUND: With the alarming rise in antibiotic resistance in African countries, the need for a surveillance system in the region has become pressing. The rapid expansion of data networks makes it possible to set up healthcare applications that can be both cost-efficient and effective. Large data sets are available for assessment of current antibiotic resistance among Ethiopian patients. Based on the data-presentation, a practical approach is proposed on how diagnostic laboratories can participate remedial action against antibiotic resistance in Ethiopia. METHODS: In Addis Ababa (Ethiopia), raw data comprising bacterial species name, specimen type and antibiograms covering the period January 2014 to May 2015 was accessed from the laboratory information management system. Using R code, the data was read and fitted into data-frames and analyzed to assess antibiotic resistance in the Ethiopian patient population. RESULTS: Susceptibility to an antibiotic was tested with 14.983 cultures of 54 different bacterial species or subgroups, isolated from 16 types of specimen. Half of the cultures (n = 6444) showed resistance to an antibiotic. Resistance against penicillin was highest with, on average, 91.1% of 79 bacterial cultures showing resistance. Very high resistance rates were also observed for ampicillin, whereas resistance was lowest with cefoxitin. CONCLUSIONS: Extraction and analysis of raw-data from the laboratory database is relatively simple and can provide valuable insight into the relationships between type of sample and drug-resistance in countries where such data is still scarce. With the largest number of antibiotic resistance tests described for Ethiopia, a tool is proposed for consistent data collection with specified core variables. Trends in antibiotic resistance can be revealed and treatment failures avoided when used as an easy accessible reference application for healthcare providers. BioMed Central 2017-06-26 /pmc/articles/PMC5485741/ /pubmed/28651533 http://dx.doi.org/10.1186/s12941-017-0221-1 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
ten Hove, Robert-Jan
Tesfaye, Melaku
ten Hove, Witold Frederik
Nigussie, Mesfin
Profiling of antibiotic resistance of bacterial species recovered from routine clinical isolates in Ethiopia
title Profiling of antibiotic resistance of bacterial species recovered from routine clinical isolates in Ethiopia
title_full Profiling of antibiotic resistance of bacterial species recovered from routine clinical isolates in Ethiopia
title_fullStr Profiling of antibiotic resistance of bacterial species recovered from routine clinical isolates in Ethiopia
title_full_unstemmed Profiling of antibiotic resistance of bacterial species recovered from routine clinical isolates in Ethiopia
title_short Profiling of antibiotic resistance of bacterial species recovered from routine clinical isolates in Ethiopia
title_sort profiling of antibiotic resistance of bacterial species recovered from routine clinical isolates in ethiopia
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5485741/
https://www.ncbi.nlm.nih.gov/pubmed/28651533
http://dx.doi.org/10.1186/s12941-017-0221-1
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