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National action plans for antimicrobial resistance and variations in surveillance data platforms

OBJECTIVE: To assess how national antimicrobial susceptibility data used to inform national action plans vary across surveillance platforms. METHODS: We identified available open-access, supranational, interactive surveillance platforms and cross-checked their data in accordance with the World Healt...

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Autores principales: Pallett, Scott JC, Charani, Esmita, Hawkins, Lois, Mazzella, Andrea, Anton-Vazquez, Vanesa, Banerjee, Rishi, Evans, Terry J, Patterson, Benjamin, Subbarao, Sathyavani, Alqahtani, Saleh, Basarab, Marina, Breathnach, Aodhan S, Mughal, Nabeela, Moore, Luke SP
Formato: Online Artículo Texto
Lenguaje:English
Publicado: World Health Organization 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10388141/
https://www.ncbi.nlm.nih.gov/pubmed/37529028
http://dx.doi.org/10.2471/BLT.22.289403
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author Pallett, Scott JC
Charani, Esmita
Hawkins, Lois
Mazzella, Andrea
Anton-Vazquez, Vanesa
Banerjee, Rishi
Evans, Terry J
Patterson, Benjamin
Subbarao, Sathyavani
Alqahtani, Saleh
Basarab, Marina
Breathnach, Aodhan S
Mughal, Nabeela
Moore, Luke SP
author_facet Pallett, Scott JC
Charani, Esmita
Hawkins, Lois
Mazzella, Andrea
Anton-Vazquez, Vanesa
Banerjee, Rishi
Evans, Terry J
Patterson, Benjamin
Subbarao, Sathyavani
Alqahtani, Saleh
Basarab, Marina
Breathnach, Aodhan S
Mughal, Nabeela
Moore, Luke SP
author_sort Pallett, Scott JC
collection PubMed
description OBJECTIVE: To assess how national antimicrobial susceptibility data used to inform national action plans vary across surveillance platforms. METHODS: We identified available open-access, supranational, interactive surveillance platforms and cross-checked their data in accordance with the World Health Organization’s (WHO’s) Data Quality Assurance: module 1. We compared platform usability and completeness of time-matched data on the antimicrobial susceptibilities of four blood isolate species: Escherichia coli, Klebsiella pneumoniae, Staphylococcus aureus and Streptococcus pneumoniae from WHO’s Global Antimicrobial Resistance and Use Surveillance System, European Centre for Disease Control’s (ECDC’s) network and Pfizer’s Antimicrobial Testing Leadership and Surveillance database. Using Bland–Altman analysis, paired t-tests, and Wilcoxon signed-rank tests, we assessed susceptibility data and number of isolate concordances between platforms. FINDINGS: Of 71 countries actively submitting data to WHO, 28 also submit to Pfizer’s database; 19 to ECDC; and 16 to all three platforms. Limits of agreement between WHO’s and Pfizer’s platforms for organism–country susceptibility data ranged from −26% to 35%. While mean susceptibilities of WHO’s and ECDC‘s platforms did not differ (bias: 0%, 95% confidence interval: −2 to 2), concordance between organism–country susceptibility was low (limits of agreement −18% to 18%). Significant differences exist in isolate numbers reported between WHO–Pfizer (mean of difference: 674, P-value: < 0.001, and WHO–ECDC (mean of difference: 192, P-value: 0.04) platforms. CONCLUSION: The considerable heterogeneity of nationally submitted data to commonly used antimicrobial resistance surveillance platforms compromises their validity, thus undermining local and global antimicrobial resistance strategies. Hence, we need to understand and address surveillance platform variability and its underlying mechanisms.
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spelling pubmed-103881412023-08-01 National action plans for antimicrobial resistance and variations in surveillance data platforms Pallett, Scott JC Charani, Esmita Hawkins, Lois Mazzella, Andrea Anton-Vazquez, Vanesa Banerjee, Rishi Evans, Terry J Patterson, Benjamin Subbarao, Sathyavani Alqahtani, Saleh Basarab, Marina Breathnach, Aodhan S Mughal, Nabeela Moore, Luke SP Bull World Health Organ Research OBJECTIVE: To assess how national antimicrobial susceptibility data used to inform national action plans vary across surveillance platforms. METHODS: We identified available open-access, supranational, interactive surveillance platforms and cross-checked their data in accordance with the World Health Organization’s (WHO’s) Data Quality Assurance: module 1. We compared platform usability and completeness of time-matched data on the antimicrobial susceptibilities of four blood isolate species: Escherichia coli, Klebsiella pneumoniae, Staphylococcus aureus and Streptococcus pneumoniae from WHO’s Global Antimicrobial Resistance and Use Surveillance System, European Centre for Disease Control’s (ECDC’s) network and Pfizer’s Antimicrobial Testing Leadership and Surveillance database. Using Bland–Altman analysis, paired t-tests, and Wilcoxon signed-rank tests, we assessed susceptibility data and number of isolate concordances between platforms. FINDINGS: Of 71 countries actively submitting data to WHO, 28 also submit to Pfizer’s database; 19 to ECDC; and 16 to all three platforms. Limits of agreement between WHO’s and Pfizer’s platforms for organism–country susceptibility data ranged from −26% to 35%. While mean susceptibilities of WHO’s and ECDC‘s platforms did not differ (bias: 0%, 95% confidence interval: −2 to 2), concordance between organism–country susceptibility was low (limits of agreement −18% to 18%). Significant differences exist in isolate numbers reported between WHO–Pfizer (mean of difference: 674, P-value: < 0.001, and WHO–ECDC (mean of difference: 192, P-value: 0.04) platforms. CONCLUSION: The considerable heterogeneity of nationally submitted data to commonly used antimicrobial resistance surveillance platforms compromises their validity, thus undermining local and global antimicrobial resistance strategies. Hence, we need to understand and address surveillance platform variability and its underlying mechanisms. World Health Organization 2023-08-01 2023-05-29 /pmc/articles/PMC10388141/ /pubmed/37529028 http://dx.doi.org/10.2471/BLT.22.289403 Text en (c) 2023 The authors; licensee World Health Organization. https://creativecommons.org/licenses/by/3.0/igo/This is an open access article distributed under the terms of the Creative Commons Attribution IGO License (http://creativecommons.org/licenses/by/3.0/igo/legalcode (https://creativecommons.org/licenses/by/3.0/igo/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. In any reproduction of this article there should not be any suggestion that WHO or this article endorse any specific organization or products. The use of the WHO logo is not permitted. This notice should be preserved along with the article's original URL.
spellingShingle Research
Pallett, Scott JC
Charani, Esmita
Hawkins, Lois
Mazzella, Andrea
Anton-Vazquez, Vanesa
Banerjee, Rishi
Evans, Terry J
Patterson, Benjamin
Subbarao, Sathyavani
Alqahtani, Saleh
Basarab, Marina
Breathnach, Aodhan S
Mughal, Nabeela
Moore, Luke SP
National action plans for antimicrobial resistance and variations in surveillance data platforms
title National action plans for antimicrobial resistance and variations in surveillance data platforms
title_full National action plans for antimicrobial resistance and variations in surveillance data platforms
title_fullStr National action plans for antimicrobial resistance and variations in surveillance data platforms
title_full_unstemmed National action plans for antimicrobial resistance and variations in surveillance data platforms
title_short National action plans for antimicrobial resistance and variations in surveillance data platforms
title_sort national action plans for antimicrobial resistance and variations in surveillance data platforms
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10388141/
https://www.ncbi.nlm.nih.gov/pubmed/37529028
http://dx.doi.org/10.2471/BLT.22.289403
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