Details

Autor(en) / Beteiligte

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

Titel

ACORN (A Clinically-Oriented Antimicrobial Resistance Surveillance Network) II: protocol for case based antimicrobial resistance surveillance

Ist Teil von

• Wellcome open research, 2023, Vol.8, p.179-179

Ort / Verlag

London, UK: F1000 Research Limited

Erscheinungsjahr

2023

Link zum Volltext

Quelle

Free E-Journal (出版社公開部分のみ）

Beschreibungen/Notizen

• 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.