Completed Infection & Immunity Public Health & Healthcare

A Clinically Oriented Antimicrobial Resistance Surveillance Network for Healthcare-Associated Infections (ACORN-HAI)

In plain English

AI plain-English summary

A hospital patient with a bloodstream infection or ventilator-associated pneumonia is increasingly likely to be infected with a multidrug-resistant bacterium that no existing antibiotic can treat, and doctors lack the real-world data needed to decide what to do about it. This surveillance network, called ACORN-HAI, will track 500 patients at each of 30 hospitals across regions with high drug-resistance burdens, collecting detailed clinical data on treatment and outcomes. The problem is that prospective, case-level data on these severe healthcare-associated infections barely exist. Without it, researchers cannot design reliable interventional trials to test new treatments or optimise existing ones. The network will also collect bacterial isolates for genomic analysis, revealing how resistance genes and clones spread across geography and time. If successful, ACORN-HAI will produce the first large-scale, standardised picture of how these infections are treated and what happens to patients. That evidence base will directly inform the design of future clinical trials, giving them realistic endpoints and target populations. For hospital clinicians, the results could eventually mean knowing which antibiotics still work for a given infection, rather than guessing. For the broader public, the network builds laboratory and research capacity in the very settings where drug resistance is most acute, creating infrastructure that outlasts any single study.

View original technical description
ACORN-HAI is a large-scale multi-centre surveillance which focuses on the treatment and clinical outcomes of healthcare-associated bloodstream infection and ventilator-associated pneumonia. These severe infections are frequently caused by multidrug-resistant bacteria which have no effective treatment options. Prospectively collected case-based data of these infections are lacking and urgently needed to guide interventional trials. Our aims are firstly to establish a surveillance platform in hospitals with high burdens of drug resistance, in order to investigate target organisms and make up-to-date assessments on treatment options. Secondly through implementing the study across various regions and income settings, we aim to share expertise, optimise local engagement, and establish research teams and laboratory capacity. The enrollment criteria are based on the US Centers for Disease Control and Prevention criteria for healthcare-associated infection surveillance. Functional and mortality outcomes will be assessed on day 28. Bacterial isolates will be collected for genomic analysis to study geographical and temporal trends in resistance clones and genes. The target sample size is 500 participants per site over 30 study sites. ACORN-HAI study is a critical step towards assessing the burden of severe drug-resistant infections, and inform interventional trials to optimise treatment

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Researchers

David Paterson (EPMC Awardee)Li Yang Hsu (EPMC Awardee)Yin Mo (EPMC Awardee)

Related Research

Grants with similar aims, by meaning.

ACORN 2.0 - A Clinically Oriented antimicrobial Resistance Network
A Clinically Oriented Antimicrobial Resistance Surveillance Network (ACORN)
Reducing unnecessary antibiotic use in acute respiratory infection with host response point-of-care tests
Staphylococcus aureus Network Adaptive Platform trial (SNAP)
Staphylococcus aureus Network Adaptive Platform (SNAP) Trial

Original classification

Discretionary award – DRI

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