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ACORN (A Clinically-Oriented Antimicrobial Resistance Surveillance Network) II: protocol for case based antimicrobial resistance surveillance [version 2; peer review: 2 approved]

Authors :
Andrea Lay-Hoon Kwa
Jeanette Teo
Oon Tek Ng
Kalisvar Marimuthu
Suwatthiya Kitsaran
Shawn Vasoo
Pope Kosalaraksa
Siriluck Anunnatsiri
Pitak Santanirand
Elizabeth A. Ashley
Darunee Chotiprasitsakul
Hock Hin Chua
Rongpong Plongla
Ke Juin Wong
Xun Ting Tiong
Naomi Waithira
Helmi Bin Sulaiman
Sasheela Sri La Sri Ponnampalavanar
Zeti Norfidiyati Salmuna
Prapass Wannapinij
Mohd Zulfakar Mazlan
Mohd Zaki Bin Mohd Zaili
Giri Shan Rajahram
Nevio Sarmento
Joshua R. Francis
Tessa Oakley
Helio Guterres
Ari Tilman
Jennifer Yan
Madiha Hashmi
Muhammad Osama Rehman Khalid
Azizullah Khan Dhiloo
Syed Faisal Mahmood
Inke Nadia D. Lubis
Ambreen Fatima
Cybele L. Abad
Hendri Wijaya
Cecilia C. Maramba Lazarte
Arthur Dessi Roman
Rosmonaliza Asli
Gazi Md. Salahuddin Mamun
Khurelbaatar Nyamdavaa
Muhd Haziq Fikry bin Haji Abdul Momin
Sotharith Bory
Yin Mo
Ulziijargal Gurjav
Lalit Gupta
George M. Varghese
Robert Sinto
Pratik Tantia
Basudha Khanal
Yohei Doi
Jezreel Lazaro
Greco Malijan
Sumudu Withanage
Samanmalee Gunasekara
Yonghong Xiao
Po Yu Liu
Minggui Wang
Yang Cao
Ying Ding
David L. Paterson
Jill Hopkins
Sue J. Lee
H. Rogier van Doorn
Paul Turner
Raph L. Hamers
Claire L. Ling
Yoel Lubell
Tamalee Roberts
Samuel Akech
Abhilasha Karkey
Japheth Opintan
Samantha Lissauer
Sergey Eremin
Iruka Okeke
Li Yang Hsu
Barbara Tornimbene
Minh Yen Lam
Louise Thwaites
Tieu Kieu Pham
Ngoc Thach Pham
Source :
Wellcome Open Research, Vol 8 (2023)
Publication Year :
2023
Publisher :
Wellcome, 2023.

Abstract

Background: Antimicrobial resistance surveillance is essential for empiric antibiotic prescribing, infection prevention and control policies and to drive novel antibiotic discovery. However, most existing surveillance systems are isolate-based without supporting patient-based clinical data, and not widely implemented especially in low- and middle-income countries (LMICs). Methods: A Clinically-Oriented Antimicrobial Resistance Surveillance Network (ACORN) II is a large-scale multicentre protocol which builds on the WHO Global Antimicrobial Resistance and Use Surveillance System to estimate syndromic and pathogen outcomes along with associated health economic costs. ACORN-healthcare associated infection (ACORN-HAI) is an extension study which focuses on healthcare-associated bloodstream infections and ventilator-associated pneumonia. Our main aim is to implement an efficient clinically-oriented antimicrobial resistance surveillance system, which can be incorporated as part of routine workflow in hospitals in LMICs. These surveillance systems include hospitalised patients of any age with clinically compatible acute community-acquired or healthcare-associated bacterial infection syndromes, and who were prescribed parenteral antibiotics. Diagnostic stewardship activities will be implemented to optimise microbiology culture specimen collection practices. Basic patient characteristics, clinician diagnosis, empiric treatment, infection severity and risk factors for HAI are recorded on enrolment and during 28-day follow-up. An R Shiny application can be used offline and online for merging clinical and microbiology data, and generating collated reports to inform local antibiotic stewardship and infection control policies. Discussion: ACORN II is a comprehensive antimicrobial resistance surveillance activity which advocates pragmatic implementation and prioritises improving local diagnostic and antibiotic prescribing practices through patient-centred data collection. These data can be rapidly communicated to local physicians and infection prevention and control teams. Relative ease of data collection promotes sustainability and maximises participation and scalability. With ACORN-HAI as an example, ACORN II has the capacity to accommodate extensions to investigate further specific questions of interest.

Details

Language :
English
ISSN :
2398502X
Volume :
8
Database :
Directory of Open Access Journals
Journal :
Wellcome Open Research
Publication Type :
Academic Journal
Accession number :
edsdoj.81be6b74f041b29e1d73b622a46c57
Document Type :
article
Full Text :
https://doi.org/10.12688/wellcomeopenres.19210.2