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Bacterial profile and antimicrobial resistance patterns of infected diabetic foot ulcers in sub-Saharan Africa: a systematic review and meta-analysis

The number of diabetic foot ulcer patients is substantially increasing, with the rapidly rising burden of diabetic mellitus in sub-Saharan Africa. The data on the regional prevalence of diabetic foot ulcer infecting bacteria and their antimicrobial resistance patterns is crucial for its proper manag...

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Autores principales: Wada, Fiseha Wadilo, Mekonnen, Michael Fekadu, Sawiso, Edlawit Desta, Kolato, Sitotaw, Woldegiorgis, Lideta, Kera, Gemechu Kebede, El-Khatib, Ziad, Ashuro, Akililu Alemu, Biru, Mulatu, Boltena, Minyahil Tadesse
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10480146/
https://www.ncbi.nlm.nih.gov/pubmed/37670001
http://dx.doi.org/10.1038/s41598-023-41882-z
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author Wada, Fiseha Wadilo
Mekonnen, Michael Fekadu
Sawiso, Edlawit Desta
Kolato, Sitotaw
Woldegiorgis, Lideta
Kera, Gemechu Kebede
El-Khatib, Ziad
Ashuro, Akililu Alemu
Biru, Mulatu
Boltena, Minyahil Tadesse
author_facet Wada, Fiseha Wadilo
Mekonnen, Michael Fekadu
Sawiso, Edlawit Desta
Kolato, Sitotaw
Woldegiorgis, Lideta
Kera, Gemechu Kebede
El-Khatib, Ziad
Ashuro, Akililu Alemu
Biru, Mulatu
Boltena, Minyahil Tadesse
author_sort Wada, Fiseha Wadilo
collection PubMed
description The number of diabetic foot ulcer patients is substantially increasing, with the rapidly rising burden of diabetic mellitus in sub-Saharan Africa. The data on the regional prevalence of diabetic foot ulcer infecting bacteria and their antimicrobial resistance patterns is crucial for its proper management. This systematic review and meta-analysis determined the pooled prevalence of bacterial profiles and antimicrobial resistance patterns of infected diabetic foot ulcers in sub-Saharan Africa. A comprehensive search of the literature was performed on CINAHL, EMBASE, Google Scholar, PubMed, Scopus, and Web of Science databases. Critical appraisal was done using the Joanna Briggs Institute’s tool for prevalence studies. A pooled statistical meta-analysis was conducted using STATA Version 17.0. The I(2) statistics and Egger’s test were used to assess the heterogeneity and publication bias. The pooled prevalence and the corresponding 95% confidence interval of bacterial profiles and their antimicrobial resistance patterns were estimated using a random effect model. Eleven studies with a total of 1174 study participants and 1701 bacteria isolates were included. The pooled prevalence of the most common bacterial isolates obtained from DFU were S. aureus (34.34%), E. coli (21.16%), and P. aeruginosa (20.98%). The highest pooled resistance pattern of S. aureus was towards Gentamicin (57.96%) and Ciprofloxacin (52.45%). E.coli and K. Pneumoniae showed more than a 50% resistance rate for the most common antibiotics tested. Both gram-positive and gram-negative bacteria were associated with diabetic foot ulcers in sub-Saharan Africa. Our findings are important for planning treatment with the appropriate antibiotics in the region. The high antimicrobial resistance prevalence rate indicates the need for context-specific effective strategies aimed at infection prevention and evidence-based alternative therapies.
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spelling pubmed-104801462023-09-07 Bacterial profile and antimicrobial resistance patterns of infected diabetic foot ulcers in sub-Saharan Africa: a systematic review and meta-analysis Wada, Fiseha Wadilo Mekonnen, Michael Fekadu Sawiso, Edlawit Desta Kolato, Sitotaw Woldegiorgis, Lideta Kera, Gemechu Kebede El-Khatib, Ziad Ashuro, Akililu Alemu Biru, Mulatu Boltena, Minyahil Tadesse Sci Rep Article The number of diabetic foot ulcer patients is substantially increasing, with the rapidly rising burden of diabetic mellitus in sub-Saharan Africa. The data on the regional prevalence of diabetic foot ulcer infecting bacteria and their antimicrobial resistance patterns is crucial for its proper management. This systematic review and meta-analysis determined the pooled prevalence of bacterial profiles and antimicrobial resistance patterns of infected diabetic foot ulcers in sub-Saharan Africa. A comprehensive search of the literature was performed on CINAHL, EMBASE, Google Scholar, PubMed, Scopus, and Web of Science databases. Critical appraisal was done using the Joanna Briggs Institute’s tool for prevalence studies. A pooled statistical meta-analysis was conducted using STATA Version 17.0. The I(2) statistics and Egger’s test were used to assess the heterogeneity and publication bias. The pooled prevalence and the corresponding 95% confidence interval of bacterial profiles and their antimicrobial resistance patterns were estimated using a random effect model. Eleven studies with a total of 1174 study participants and 1701 bacteria isolates were included. The pooled prevalence of the most common bacterial isolates obtained from DFU were S. aureus (34.34%), E. coli (21.16%), and P. aeruginosa (20.98%). The highest pooled resistance pattern of S. aureus was towards Gentamicin (57.96%) and Ciprofloxacin (52.45%). E.coli and K. Pneumoniae showed more than a 50% resistance rate for the most common antibiotics tested. Both gram-positive and gram-negative bacteria were associated with diabetic foot ulcers in sub-Saharan Africa. Our findings are important for planning treatment with the appropriate antibiotics in the region. The high antimicrobial resistance prevalence rate indicates the need for context-specific effective strategies aimed at infection prevention and evidence-based alternative therapies. Nature Publishing Group UK 2023-09-05 /pmc/articles/PMC10480146/ /pubmed/37670001 http://dx.doi.org/10.1038/s41598-023-41882-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) .
spellingShingle Article
Wada, Fiseha Wadilo
Mekonnen, Michael Fekadu
Sawiso, Edlawit Desta
Kolato, Sitotaw
Woldegiorgis, Lideta
Kera, Gemechu Kebede
El-Khatib, Ziad
Ashuro, Akililu Alemu
Biru, Mulatu
Boltena, Minyahil Tadesse
Bacterial profile and antimicrobial resistance patterns of infected diabetic foot ulcers in sub-Saharan Africa: a systematic review and meta-analysis
title Bacterial profile and antimicrobial resistance patterns of infected diabetic foot ulcers in sub-Saharan Africa: a systematic review and meta-analysis
title_full Bacterial profile and antimicrobial resistance patterns of infected diabetic foot ulcers in sub-Saharan Africa: a systematic review and meta-analysis
title_fullStr Bacterial profile and antimicrobial resistance patterns of infected diabetic foot ulcers in sub-Saharan Africa: a systematic review and meta-analysis
title_full_unstemmed Bacterial profile and antimicrobial resistance patterns of infected diabetic foot ulcers in sub-Saharan Africa: a systematic review and meta-analysis
title_short Bacterial profile and antimicrobial resistance patterns of infected diabetic foot ulcers in sub-Saharan Africa: a systematic review and meta-analysis
title_sort bacterial profile and antimicrobial resistance patterns of infected diabetic foot ulcers in sub-saharan africa: a systematic review and meta-analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10480146/
https://www.ncbi.nlm.nih.gov/pubmed/37670001
http://dx.doi.org/10.1038/s41598-023-41882-z
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