Cargando…
ACORN (A Clinically-Oriented Antimicrobial Resistance Surveillance Network): a pilot protocol for case based antimicrobial resistance surveillance
Background: Antimicrobial resistance (AMR) / drug resistant infections (DRIs) are a major global health priority. Surveillance data is critical to inform infection treatment guidelines, monitor trends, and to assess interventions. However, most existing AMR / DRI surveillance systems are passive and...
Autores principales: | , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7250055/ https://www.ncbi.nlm.nih.gov/pubmed/32509968 http://dx.doi.org/10.12688/wellcomeopenres.15681.2 |
_version_ | 1783538701479968768 |
---|---|
author | Turner, Paul Ashley, Elizabeth A. Celhay, Olivier J. Douangnouvong, Anousone Hamers, Raph L. Ling, Clare L. Lubell, Yoel Miliya, Thyl Roberts, Tamalee Soputhy, Chansovannara Ngoc Thach, Pham Vongsouvath, Manivanh Waithira, Naomi Wannapinij, Prapass van Doorn, H. Rogier |
author_facet | Turner, Paul Ashley, Elizabeth A. Celhay, Olivier J. Douangnouvong, Anousone Hamers, Raph L. Ling, Clare L. Lubell, Yoel Miliya, Thyl Roberts, Tamalee Soputhy, Chansovannara Ngoc Thach, Pham Vongsouvath, Manivanh Waithira, Naomi Wannapinij, Prapass van Doorn, H. Rogier |
author_sort | Turner, Paul |
collection | PubMed |
description | Background: Antimicrobial resistance (AMR) / drug resistant infections (DRIs) are a major global health priority. Surveillance data is critical to inform infection treatment guidelines, monitor trends, and to assess interventions. However, most existing AMR / DRI surveillance systems are passive and pathogen-based with many potential biases. Addition of clinical and patient outcome data would provide considerable added value to pathogen-based surveillance. Methods: The aim of the ACORN project is to develop an efficient clinically-oriented AMR surveillance system, implemented alongside routine clinical care in hospitals in low- and middle-income country settings. In an initial pilot phase, clinical and microbiology data will be collected from patients presenting with clinically suspected meningitis, pneumonia, or sepsis. Community-acquired infections will be identified by daily review of new admissions, and hospital-acquired infections will be enrolled during weekly point prevalence surveys, on surveillance wards. Clinical variables will be collected at enrolment, hospital discharge, and at day 28 post-enrolment using an electronic questionnaire on a mobile device. These data will be merged with laboratory data onsite using a flexible automated computer script. Specific target pathogens will be Streptococcus pneumoniae, Staphylococcus aureus, Salmonella spp ., Klebsiella pneumoniae, Escherichia coli, and Acinetobacter baumannii. A bespoke browser-based app will provide sites with fully interactive data visualisation, analysis, and reporting tools. Discussion: ACORN will generate data on the burden of DRI which can be used to inform local treatment guidelines / national policy and serve as indicators to measure the impact of interventions. Following development, testing and iteration of the surveillance tools during an initial six-month pilot phase, a wider rollout is planned. |
format | Online Article Text |
id | pubmed-7250055 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
spelling | pubmed-72500552020-06-05 ACORN (A Clinically-Oriented Antimicrobial Resistance Surveillance Network): a pilot protocol for case based antimicrobial resistance surveillance Turner, Paul Ashley, Elizabeth A. Celhay, Olivier J. Douangnouvong, Anousone Hamers, Raph L. Ling, Clare L. Lubell, Yoel Miliya, Thyl Roberts, Tamalee Soputhy, Chansovannara Ngoc Thach, Pham Vongsouvath, Manivanh Waithira, Naomi Wannapinij, Prapass van Doorn, H. Rogier Wellcome Open Res Study Protocol Background: Antimicrobial resistance (AMR) / drug resistant infections (DRIs) are a major global health priority. Surveillance data is critical to inform infection treatment guidelines, monitor trends, and to assess interventions. However, most existing AMR / DRI surveillance systems are passive and pathogen-based with many potential biases. Addition of clinical and patient outcome data would provide considerable added value to pathogen-based surveillance. Methods: The aim of the ACORN project is to develop an efficient clinically-oriented AMR surveillance system, implemented alongside routine clinical care in hospitals in low- and middle-income country settings. In an initial pilot phase, clinical and microbiology data will be collected from patients presenting with clinically suspected meningitis, pneumonia, or sepsis. Community-acquired infections will be identified by daily review of new admissions, and hospital-acquired infections will be enrolled during weekly point prevalence surveys, on surveillance wards. Clinical variables will be collected at enrolment, hospital discharge, and at day 28 post-enrolment using an electronic questionnaire on a mobile device. These data will be merged with laboratory data onsite using a flexible automated computer script. Specific target pathogens will be Streptococcus pneumoniae, Staphylococcus aureus, Salmonella spp ., Klebsiella pneumoniae, Escherichia coli, and Acinetobacter baumannii. A bespoke browser-based app will provide sites with fully interactive data visualisation, analysis, and reporting tools. Discussion: ACORN will generate data on the burden of DRI which can be used to inform local treatment guidelines / national policy and serve as indicators to measure the impact of interventions. Following development, testing and iteration of the surveillance tools during an initial six-month pilot phase, a wider rollout is planned. F1000 Research Limited 2020-06-01 /pmc/articles/PMC7250055/ /pubmed/32509968 http://dx.doi.org/10.12688/wellcomeopenres.15681.2 Text en Copyright: © 2020 Turner P et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Study Protocol Turner, Paul Ashley, Elizabeth A. Celhay, Olivier J. Douangnouvong, Anousone Hamers, Raph L. Ling, Clare L. Lubell, Yoel Miliya, Thyl Roberts, Tamalee Soputhy, Chansovannara Ngoc Thach, Pham Vongsouvath, Manivanh Waithira, Naomi Wannapinij, Prapass van Doorn, H. Rogier ACORN (A Clinically-Oriented Antimicrobial Resistance Surveillance Network): a pilot protocol for case based antimicrobial resistance surveillance |
title | ACORN (A Clinically-Oriented Antimicrobial Resistance Surveillance Network): a pilot protocol for case based antimicrobial resistance surveillance |
title_full | ACORN (A Clinically-Oriented Antimicrobial Resistance Surveillance Network): a pilot protocol for case based antimicrobial resistance surveillance |
title_fullStr | ACORN (A Clinically-Oriented Antimicrobial Resistance Surveillance Network): a pilot protocol for case based antimicrobial resistance surveillance |
title_full_unstemmed | ACORN (A Clinically-Oriented Antimicrobial Resistance Surveillance Network): a pilot protocol for case based antimicrobial resistance surveillance |
title_short | ACORN (A Clinically-Oriented Antimicrobial Resistance Surveillance Network): a pilot protocol for case based antimicrobial resistance surveillance |
title_sort | acorn (a clinically-oriented antimicrobial resistance surveillance network): a pilot protocol for case based antimicrobial resistance surveillance |
topic | Study Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7250055/ https://www.ncbi.nlm.nih.gov/pubmed/32509968 http://dx.doi.org/10.12688/wellcomeopenres.15681.2 |
work_keys_str_mv | AT turnerpaul acornaclinicallyorientedantimicrobialresistancesurveillancenetworkapilotprotocolforcasebasedantimicrobialresistancesurveillance AT ashleyelizabetha acornaclinicallyorientedantimicrobialresistancesurveillancenetworkapilotprotocolforcasebasedantimicrobialresistancesurveillance AT celhayolivierj acornaclinicallyorientedantimicrobialresistancesurveillancenetworkapilotprotocolforcasebasedantimicrobialresistancesurveillance AT douangnouvonganousone acornaclinicallyorientedantimicrobialresistancesurveillancenetworkapilotprotocolforcasebasedantimicrobialresistancesurveillance AT hamersraphl acornaclinicallyorientedantimicrobialresistancesurveillancenetworkapilotprotocolforcasebasedantimicrobialresistancesurveillance AT lingclarel acornaclinicallyorientedantimicrobialresistancesurveillancenetworkapilotprotocolforcasebasedantimicrobialresistancesurveillance AT lubellyoel acornaclinicallyorientedantimicrobialresistancesurveillancenetworkapilotprotocolforcasebasedantimicrobialresistancesurveillance AT miliyathyl acornaclinicallyorientedantimicrobialresistancesurveillancenetworkapilotprotocolforcasebasedantimicrobialresistancesurveillance AT robertstamalee acornaclinicallyorientedantimicrobialresistancesurveillancenetworkapilotprotocolforcasebasedantimicrobialresistancesurveillance AT soputhychansovannara acornaclinicallyorientedantimicrobialresistancesurveillancenetworkapilotprotocolforcasebasedantimicrobialresistancesurveillance AT ngocthachpham acornaclinicallyorientedantimicrobialresistancesurveillancenetworkapilotprotocolforcasebasedantimicrobialresistancesurveillance AT vongsouvathmanivanh acornaclinicallyorientedantimicrobialresistancesurveillancenetworkapilotprotocolforcasebasedantimicrobialresistancesurveillance AT waithiranaomi acornaclinicallyorientedantimicrobialresistancesurveillancenetworkapilotprotocolforcasebasedantimicrobialresistancesurveillance AT wannapinijprapass acornaclinicallyorientedantimicrobialresistancesurveillancenetworkapilotprotocolforcasebasedantimicrobialresistancesurveillance AT vandoornhrogier acornaclinicallyorientedantimicrobialresistancesurveillancenetworkapilotprotocolforcasebasedantimicrobialresistancesurveillance |