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Type of bacterial isolates and antimicrobial resistance profile from different clinical samples at a Referral Hospital, Northwest Ethiopia: five years data analysis

OBJECTIVE: Antimicrobial resistance (AMR) is one of the most serious global public health threats that exert a significant burden in terms of patient morbidity and mortality and financial crises in many developing countries including Ethiopia. Knowledge on the type of predominantly circulating patho...

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Autores principales: Abebe, Melkamu, Tadesse, Senait, Meseret, Girum, Derbie, Awoke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6737691/
https://www.ncbi.nlm.nih.gov/pubmed/31511033
http://dx.doi.org/10.1186/s13104-019-4604-6
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author Abebe, Melkamu
Tadesse, Senait
Meseret, Girum
Derbie, Awoke
author_facet Abebe, Melkamu
Tadesse, Senait
Meseret, Girum
Derbie, Awoke
author_sort Abebe, Melkamu
collection PubMed
description OBJECTIVE: Antimicrobial resistance (AMR) is one of the most serious global public health threats that exert a significant burden in terms of patient morbidity and mortality and financial crises in many developing countries including Ethiopia. Knowledge on the type of predominantly circulating pathogens with their respective AMR profile in a given area is essential for optimal patient care. This study was aimed at assessing the types of bacterial isolates and their AMR profile identified from a range of clinical samples at Debre Markos Referral Hospital, Northwest Ethiopia, over a period of 5 years (2013 to 2017). RESULTS: From the total of 514 different clinical samples processed in the stated time frame, about 240 (46.7%) yield bacterial growth. Majority of the identified bacteria were isolated from stool culture 68 (28.3%) followed by urine 56 (23.3%), ear discharge 54 (22.5%) and wound swabs at 26 (10.8%). Most of the clinical isolates were Gram-negative at 171 (71.25%). The predominant isolate was S. aureus at 41 (17.1%) followed by Salmonella species, 40 (16.7%), Escherichia coli 36 (15%) and Pseudomonas aeruginosa at 26 (11.7%). Generally, the isolates were found resistant at (60–100%) against ampicillin, co-trimoxazole, doxycycline, gentamicin, norfloxacin and tetracycline. Gram-positive isolates were found relatively sensitive to ceftriaxone, erythromycin and vancomycin at (71–84%).
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spelling pubmed-67376912019-09-16 Type of bacterial isolates and antimicrobial resistance profile from different clinical samples at a Referral Hospital, Northwest Ethiopia: five years data analysis Abebe, Melkamu Tadesse, Senait Meseret, Girum Derbie, Awoke BMC Res Notes Research Note OBJECTIVE: Antimicrobial resistance (AMR) is one of the most serious global public health threats that exert a significant burden in terms of patient morbidity and mortality and financial crises in many developing countries including Ethiopia. Knowledge on the type of predominantly circulating pathogens with their respective AMR profile in a given area is essential for optimal patient care. This study was aimed at assessing the types of bacterial isolates and their AMR profile identified from a range of clinical samples at Debre Markos Referral Hospital, Northwest Ethiopia, over a period of 5 years (2013 to 2017). RESULTS: From the total of 514 different clinical samples processed in the stated time frame, about 240 (46.7%) yield bacterial growth. Majority of the identified bacteria were isolated from stool culture 68 (28.3%) followed by urine 56 (23.3%), ear discharge 54 (22.5%) and wound swabs at 26 (10.8%). Most of the clinical isolates were Gram-negative at 171 (71.25%). The predominant isolate was S. aureus at 41 (17.1%) followed by Salmonella species, 40 (16.7%), Escherichia coli 36 (15%) and Pseudomonas aeruginosa at 26 (11.7%). Generally, the isolates were found resistant at (60–100%) against ampicillin, co-trimoxazole, doxycycline, gentamicin, norfloxacin and tetracycline. Gram-positive isolates were found relatively sensitive to ceftriaxone, erythromycin and vancomycin at (71–84%). BioMed Central 2019-09-11 /pmc/articles/PMC6737691/ /pubmed/31511033 http://dx.doi.org/10.1186/s13104-019-4604-6 Text en © The Author(s) 2019 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 Note
Abebe, Melkamu
Tadesse, Senait
Meseret, Girum
Derbie, Awoke
Type of bacterial isolates and antimicrobial resistance profile from different clinical samples at a Referral Hospital, Northwest Ethiopia: five years data analysis
title Type of bacterial isolates and antimicrobial resistance profile from different clinical samples at a Referral Hospital, Northwest Ethiopia: five years data analysis
title_full Type of bacterial isolates and antimicrobial resistance profile from different clinical samples at a Referral Hospital, Northwest Ethiopia: five years data analysis
title_fullStr Type of bacterial isolates and antimicrobial resistance profile from different clinical samples at a Referral Hospital, Northwest Ethiopia: five years data analysis
title_full_unstemmed Type of bacterial isolates and antimicrobial resistance profile from different clinical samples at a Referral Hospital, Northwest Ethiopia: five years data analysis
title_short Type of bacterial isolates and antimicrobial resistance profile from different clinical samples at a Referral Hospital, Northwest Ethiopia: five years data analysis
title_sort type of bacterial isolates and antimicrobial resistance profile from different clinical samples at a referral hospital, northwest ethiopia: five years data analysis
topic Research Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6737691/
https://www.ncbi.nlm.nih.gov/pubmed/31511033
http://dx.doi.org/10.1186/s13104-019-4604-6
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