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Exploring the prevalence of antibiotic resistance patterns and drivers of antibiotics resistance of Salmonella in livestock and poultry-derived foods: a systematic review and meta-analysis in Bangladesh from 2000 to 2022

BACKGROUND: Antimicrobial resistance (AMR) is a severe public health problem that Bangladeshis are dealing with nowadays. However, we wanted to investigate the pooled prevalence of Salmonella and AMR in Salmonella strains isolated from livestock- and poultry-derived foods between 1 January 2000 and...

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Autores principales: Ripon, Rezaul Karim, Motahara, Umma, Ahmed, Ayesha, Devnath, Nishrita, Mahua, Fatema Akter, Hashem, Rubaiya Binthe, Ishadi, Kifayat Sadmam, Alam, Adiba, Sujan, Md Safaet Hossain, Sarker, Md Samun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10230569/
https://www.ncbi.nlm.nih.gov/pubmed/37265988
http://dx.doi.org/10.1093/jacamr/dlad059
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author Ripon, Rezaul Karim
Motahara, Umma
Ahmed, Ayesha
Devnath, Nishrita
Mahua, Fatema Akter
Hashem, Rubaiya Binthe
Ishadi, Kifayat Sadmam
Alam, Adiba
Sujan, Md Safaet Hossain
Sarker, Md Samun
author_facet Ripon, Rezaul Karim
Motahara, Umma
Ahmed, Ayesha
Devnath, Nishrita
Mahua, Fatema Akter
Hashem, Rubaiya Binthe
Ishadi, Kifayat Sadmam
Alam, Adiba
Sujan, Md Safaet Hossain
Sarker, Md Samun
author_sort Ripon, Rezaul Karim
collection PubMed
description BACKGROUND: Antimicrobial resistance (AMR) is a severe public health problem that Bangladeshis are dealing with nowadays. However, we wanted to investigate the pooled prevalence of Salmonella and AMR in Salmonella strains isolated from livestock- and poultry-derived foods between 1 January 2000 and 31 August 2022. METHODS: The metafor and metareg packages in the R programming language were used to conduct all analyses. We used a random-effect or fixed-effect model for pooled prevalence of Salmonella and AMR to Salmonella, depending on the heterogeneity test for each antibiotic. The heterogeneity was examined using stratified analyses, the meta-regression approach and sensitivity analysis. RESULTS: The combined prevalence of Salmonella in livestock and poultry-derived food in Bangladesh is 37%, according to the 12-research considered (95% CI: 23%–52%). According to subgroup analysis, neomycin had the lowest prevalence of resistance (4%, 95% CI: 1%–13%), whereas tetracycline had the highest prevalence of resistance (81%, 95% CI: 53%–98%). According to univariate meta-analysis and correlation analysis, the prevalence of Salmonella increased with the study period (β = 0.0179; 95% CI: 0.0059–0.0298, P = 0.0034; R(2) = 46.11%) and without this, none of aforementioned variables was significantly associated with the detected heterogeneity and there was a positive relationship (r = 0.692, P = 0.001) between the Salmonella prevalence and study period. CONCLUSIONS: AMR is rising alarmingly in Bangladesh by livestock-derived food consumption. However, monitoring and evaluating antibiotic sensitivity trends and developing effective antibiotic regimens may improve Salmonella infection inhibition and control in Bangladesh. Policymakers should be concerned about food handling practices. Doctors should be concerned when using prescribing antibiotics.
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spelling pubmed-102305692023-06-01 Exploring the prevalence of antibiotic resistance patterns and drivers of antibiotics resistance of Salmonella in livestock and poultry-derived foods: a systematic review and meta-analysis in Bangladesh from 2000 to 2022 Ripon, Rezaul Karim Motahara, Umma Ahmed, Ayesha Devnath, Nishrita Mahua, Fatema Akter Hashem, Rubaiya Binthe Ishadi, Kifayat Sadmam Alam, Adiba Sujan, Md Safaet Hossain Sarker, Md Samun JAC Antimicrob Resist Systematic Review BACKGROUND: Antimicrobial resistance (AMR) is a severe public health problem that Bangladeshis are dealing with nowadays. However, we wanted to investigate the pooled prevalence of Salmonella and AMR in Salmonella strains isolated from livestock- and poultry-derived foods between 1 January 2000 and 31 August 2022. METHODS: The metafor and metareg packages in the R programming language were used to conduct all analyses. We used a random-effect or fixed-effect model for pooled prevalence of Salmonella and AMR to Salmonella, depending on the heterogeneity test for each antibiotic. The heterogeneity was examined using stratified analyses, the meta-regression approach and sensitivity analysis. RESULTS: The combined prevalence of Salmonella in livestock and poultry-derived food in Bangladesh is 37%, according to the 12-research considered (95% CI: 23%–52%). According to subgroup analysis, neomycin had the lowest prevalence of resistance (4%, 95% CI: 1%–13%), whereas tetracycline had the highest prevalence of resistance (81%, 95% CI: 53%–98%). According to univariate meta-analysis and correlation analysis, the prevalence of Salmonella increased with the study period (β = 0.0179; 95% CI: 0.0059–0.0298, P = 0.0034; R(2) = 46.11%) and without this, none of aforementioned variables was significantly associated with the detected heterogeneity and there was a positive relationship (r = 0.692, P = 0.001) between the Salmonella prevalence and study period. CONCLUSIONS: AMR is rising alarmingly in Bangladesh by livestock-derived food consumption. However, monitoring and evaluating antibiotic sensitivity trends and developing effective antibiotic regimens may improve Salmonella infection inhibition and control in Bangladesh. Policymakers should be concerned about food handling practices. Doctors should be concerned when using prescribing antibiotics. Oxford University Press 2023-05-31 /pmc/articles/PMC10230569/ /pubmed/37265988 http://dx.doi.org/10.1093/jacamr/dlad059 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of British Society for Antimicrobial Chemotherapy. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Systematic Review
Ripon, Rezaul Karim
Motahara, Umma
Ahmed, Ayesha
Devnath, Nishrita
Mahua, Fatema Akter
Hashem, Rubaiya Binthe
Ishadi, Kifayat Sadmam
Alam, Adiba
Sujan, Md Safaet Hossain
Sarker, Md Samun
Exploring the prevalence of antibiotic resistance patterns and drivers of antibiotics resistance of Salmonella in livestock and poultry-derived foods: a systematic review and meta-analysis in Bangladesh from 2000 to 2022
title Exploring the prevalence of antibiotic resistance patterns and drivers of antibiotics resistance of Salmonella in livestock and poultry-derived foods: a systematic review and meta-analysis in Bangladesh from 2000 to 2022
title_full Exploring the prevalence of antibiotic resistance patterns and drivers of antibiotics resistance of Salmonella in livestock and poultry-derived foods: a systematic review and meta-analysis in Bangladesh from 2000 to 2022
title_fullStr Exploring the prevalence of antibiotic resistance patterns and drivers of antibiotics resistance of Salmonella in livestock and poultry-derived foods: a systematic review and meta-analysis in Bangladesh from 2000 to 2022
title_full_unstemmed Exploring the prevalence of antibiotic resistance patterns and drivers of antibiotics resistance of Salmonella in livestock and poultry-derived foods: a systematic review and meta-analysis in Bangladesh from 2000 to 2022
title_short Exploring the prevalence of antibiotic resistance patterns and drivers of antibiotics resistance of Salmonella in livestock and poultry-derived foods: a systematic review and meta-analysis in Bangladesh from 2000 to 2022
title_sort exploring the prevalence of antibiotic resistance patterns and drivers of antibiotics resistance of salmonella in livestock and poultry-derived foods: a systematic review and meta-analysis in bangladesh from 2000 to 2022
topic Systematic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10230569/
https://www.ncbi.nlm.nih.gov/pubmed/37265988
http://dx.doi.org/10.1093/jacamr/dlad059
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