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Prevalence of antibiotic prescribing in COVID-19 patients in China and other low- and middle-income countries during the pandemic (December 2019—March 2021): a systematic review and meta-analysis
OBJECTIVES: Low- and middle-income countries (LMICs) are particularly vulnerable to the threat of antimicrobial resistance (AMR). Use of antibiotics to treat COVID-19 patients during the pandemic may have contributed to increasing the AMR burden, but systematic evidence is lacking. METHODS: We searc...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10689912/ https://www.ncbi.nlm.nih.gov/pubmed/37883697 http://dx.doi.org/10.1093/jac/dkad302 |
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author | Cong, Wenjuan Cheng, Hung-Yuan Stuart, Beth Liu, Binjuan Tang, Yunyi Wang, Yi AIhusein, Nour Wang, Hexing Manchundiya, Amit Lambert, Helen |
author_facet | Cong, Wenjuan Cheng, Hung-Yuan Stuart, Beth Liu, Binjuan Tang, Yunyi Wang, Yi AIhusein, Nour Wang, Hexing Manchundiya, Amit Lambert, Helen |
author_sort | Cong, Wenjuan |
collection | PubMed |
description | OBJECTIVES: Low- and middle-income countries (LMICs) are particularly vulnerable to the threat of antimicrobial resistance (AMR). Use of antibiotics to treat COVID-19 patients during the pandemic may have contributed to increasing the AMR burden, but systematic evidence is lacking. METHODS: We searched Web of Science, EMBASE, PubMed, China National Knowledge Infrastructure (CNKI) and VIP databases from 1 December 2019 to 31 March 2021. Interventional and observation studies across all settings that reported antibiotic use in at least 10 COVID-19 patients were included. We restricted publications to English and Chinese languages. Screening and data extraction were undertaken by at least two independent reviewers. Results were synthesized using random-effects meta-analyses. Subgroup analyses and meta-regression were used to explore heterogeneities. This review was registered with PROSPERO (CRD42021288291). RESULTS: We included 284 studies involving 210 611 participants in 19 countries. The antibiotic prescribing rates (APRs) in COVID-19 inpatients were 71.7% (95% CI 66.7%–76.5%) in China and 86.5% (77.1%–93.9%) in other LMICs, respectively. APR was lower in mild/moderate cases in China [66.9% (57.9%–75.4%) compared with 91.8% (71.4%–100%) in other LMICs]. High APRs were found among pregnant women and the elderly in China. Disparities in APRs of other patient groups were identified. In studies reporting bacterial infections, the prevalence was 17.3% (10.0%–25.9%) in China and 24.9% (0.1%–68.8%) in other LMICs. Several antibiotics on the WHO ‘Watch’ and ‘Reserve’ lists were prescribed frequently in LMICs. CONCLUSIONS: Inappropriate antibiotic use and high prevalence of antibiotic prescribing were found in COVID-19 inpatients in many LMICs. |
format | Online Article Text |
id | pubmed-10689912 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-106899122023-12-02 Prevalence of antibiotic prescribing in COVID-19 patients in China and other low- and middle-income countries during the pandemic (December 2019—March 2021): a systematic review and meta-analysis Cong, Wenjuan Cheng, Hung-Yuan Stuart, Beth Liu, Binjuan Tang, Yunyi Wang, Yi AIhusein, Nour Wang, Hexing Manchundiya, Amit Lambert, Helen J Antimicrob Chemother Systematic Review OBJECTIVES: Low- and middle-income countries (LMICs) are particularly vulnerable to the threat of antimicrobial resistance (AMR). Use of antibiotics to treat COVID-19 patients during the pandemic may have contributed to increasing the AMR burden, but systematic evidence is lacking. METHODS: We searched Web of Science, EMBASE, PubMed, China National Knowledge Infrastructure (CNKI) and VIP databases from 1 December 2019 to 31 March 2021. Interventional and observation studies across all settings that reported antibiotic use in at least 10 COVID-19 patients were included. We restricted publications to English and Chinese languages. Screening and data extraction were undertaken by at least two independent reviewers. Results were synthesized using random-effects meta-analyses. Subgroup analyses and meta-regression were used to explore heterogeneities. This review was registered with PROSPERO (CRD42021288291). RESULTS: We included 284 studies involving 210 611 participants in 19 countries. The antibiotic prescribing rates (APRs) in COVID-19 inpatients were 71.7% (95% CI 66.7%–76.5%) in China and 86.5% (77.1%–93.9%) in other LMICs, respectively. APR was lower in mild/moderate cases in China [66.9% (57.9%–75.4%) compared with 91.8% (71.4%–100%) in other LMICs]. High APRs were found among pregnant women and the elderly in China. Disparities in APRs of other patient groups were identified. In studies reporting bacterial infections, the prevalence was 17.3% (10.0%–25.9%) in China and 24.9% (0.1%–68.8%) in other LMICs. Several antibiotics on the WHO ‘Watch’ and ‘Reserve’ lists were prescribed frequently in LMICs. CONCLUSIONS: Inappropriate antibiotic use and high prevalence of antibiotic prescribing were found in COVID-19 inpatients in many LMICs. Oxford University Press 2023-10-26 /pmc/articles/PMC10689912/ /pubmed/37883697 http://dx.doi.org/10.1093/jac/dkad302 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 Cong, Wenjuan Cheng, Hung-Yuan Stuart, Beth Liu, Binjuan Tang, Yunyi Wang, Yi AIhusein, Nour Wang, Hexing Manchundiya, Amit Lambert, Helen Prevalence of antibiotic prescribing in COVID-19 patients in China and other low- and middle-income countries during the pandemic (December 2019—March 2021): a systematic review and meta-analysis |
title | Prevalence of antibiotic prescribing in COVID-19 patients in China and other low- and middle-income countries during the pandemic (December 2019—March 2021): a systematic review and meta-analysis |
title_full | Prevalence of antibiotic prescribing in COVID-19 patients in China and other low- and middle-income countries during the pandemic (December 2019—March 2021): a systematic review and meta-analysis |
title_fullStr | Prevalence of antibiotic prescribing in COVID-19 patients in China and other low- and middle-income countries during the pandemic (December 2019—March 2021): a systematic review and meta-analysis |
title_full_unstemmed | Prevalence of antibiotic prescribing in COVID-19 patients in China and other low- and middle-income countries during the pandemic (December 2019—March 2021): a systematic review and meta-analysis |
title_short | Prevalence of antibiotic prescribing in COVID-19 patients in China and other low- and middle-income countries during the pandemic (December 2019—March 2021): a systematic review and meta-analysis |
title_sort | prevalence of antibiotic prescribing in covid-19 patients in china and other low- and middle-income countries during the pandemic (december 2019—march 2021): a systematic review and meta-analysis |
topic | Systematic Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10689912/ https://www.ncbi.nlm.nih.gov/pubmed/37883697 http://dx.doi.org/10.1093/jac/dkad302 |
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