Efficacy of Air Cleaning Units for preventing SARS-CoV-2 and other hospital-acquired infections on medicine for older people wards: A quasi-experimental controlled before-and- after study

Publication: Journal of Hospital Infection

Rebecca C. Brock, Robert J.B. Goudie, Christine Peters, Rachel Thaxter, Theodore Gouliouris, Christopher J.R. Illingworth, Andrew Conway Morris, Clive B. Beggs, Matthew Butler, Victoria L. Keevil

5 October 2024

Summary

Researchers have been leading the Addenbrookes Air Disinfection Study (AAirDS) looking at whether Air Cleaning Units in hospital wards reduce hospital-acquired infections, particularly COVID-19.

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Antibiotic resistance determination using Enterococcus faecium whole-genome sequences: a diagnostic accuracy study using genotypic and phenotypic data

Publication: Lancet Microbe

Francesc Coll, Theodore Gouliouris, Beth Blane, Corin A Yeats, Kathy E Raven, Catherine Ludden, Fahad A Khokhar, Hayley J Wilson, Leah W Roberts, Ewan M Harrison, Carolyne S Horner, Le Thi Hoi, Nguyen Thi Hoa, Nguyen Vu Trung, Nicholas M Brown, Prof Mark A Holmes, Prof Julian Parkhill, P Mili Estee Török, Prof Sharon J Peacock,

11 January 2024

Summary

A team of scientists at the Cambridge University Hospitals NHS Foundation Trust, University of Cambridge, Wellcome Sanger Institute and the London School of Hygiene and Tropical Medicine have gone a step forward by establishing the agreement between culture-based laboratory methods and genome sequencing for antibiotic resistance determination in Enterococcus faecium, one of the top 10 bacterial pathogens with the highest mortality burden globally. The team curated a set of over 200 genetic markers that most accurately predict resistance to 12 different, clinically relevant antibiotics in a collection of over 4,000 E. faecium strains. For key antibiotics such as ampicillin, ciprofloxacin, vancomycin and linezolid, the team reported very high diagnostic accuracy, and improved accuracy for the detection of resistance to other antibiotics compared to previous state-of-the-art predictive methods. In addition, the authors implemented the antibiotic resistance predictions on Pathogenwatch

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Impact of penicillin allergy labels on surgical site infections in a large UK cohort of gastrointestinal surgery patients

Publication: JAC-Antimicrobial Resistance

Nick K Jones, Brian Tom, Constantinos Simillis, John Bennet, Stavros Gourgiotis, Jo Griffin, Helen Blaza, Shuaib Nasser, Stephen Baker, Theodore Gouliouris

16 February 2024

Summary

Being labelled as allergic to penicillin has been associated with an increase in the risk of infection after surgery in a number of studies in USA, Canada and France. This is thought to be due to the use of inferior antibiotic regimens for preventing infection at the time of surgery. We studied a large cohort of patients that had undergone gastrointestinal surgery at Addenbrooke’s Hospital to see if this observation could be generalised to a UK population, where the range of preventative antibiotic regimens in routine use differs significantly. We found no evidence of association between penicillin allergy labels and likelihood of surgical site infection in this cohort, suggesting significant international variation in the impact of penicillin allergy labels on patients.

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Simultaneous identification of viruses and viral variants with programmable DNA nanobait

Publication: Nature Nanotechnology

Filip Bošković, Jinbo Zhu, Ran Tivony, Alexander Ohmann, Kaikai Chen, Mohammed F. Alawami, Milan Đorđević, Niklas Ermann, Joana Pereira Dias, Michael Fairhead, Mark Howarth, Stephen Baker, Ulrich F. Keyser

16 January 2023


Respiratory infections are the major cause of death from infectious disease worldwide. Multiplexed diagnostic approaches are essential as many respiratory viruses have indistinguishable symptoms.

We created self-assembled DNA nanobait that can simultaneously identify multiple short RNA targets. The nanobait approach relies on specific target selection via toehold-mediated strand displacement and rapid read-out via nanopore sensing. Here, we show this platform can concurrently identify several common respiratory viruses, detecting a panel of short targets of viral nucleic acids from multiple viruses.

Our nanobait can be easily reprogrammed to discriminate viral variants, as we demonstrated for several key SARS-CoV-2 variants with single-nucleotide resolution. Lastly, we show that nanobait discriminates between samples extracted from oropharyngeal swabs from negative and positive SARS-CoV-2 patients without pre-amplification.

Our system allows for multiplexed identification of native RNA molecules, providing a new scalable approach for diagnostics of multiple respiratory viruses in a single assay.

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