Persistence of OXA-48-producing ST-22 in patients and the hospital environment, Paris, France, 2016 to 2022.

In 2016-2019, hospital A's haematology ward experienced an outbreak of OXA-48-producing ST-22 strains, with toilets identified as source of transmission. Between 2020 and 2022, 28 strains of OXA-48-producing ST-22 were isolated on other wards. This study aimed to determine whether all OXA-48-producing ST-22 strains belonged to the same clone and to investigate the persistence of this clone using whole genome sequencing.

Contribution of MALDI-TOF mass spectrometry and machine learning including deep learning techniques for the detection of virulence factors of Clostridioides difficile strains.

Clostridioides difficile (CD) infections are defined by toxins A (TcdA) and B (TcdB) along with the binary toxin (CDT). The emergence of the 'hypervirulent' (Hv) strain PR 027, along with PR 176 and 181, two decades ago, reshaped CD infection epidemiology in Europe. This study assessed MALDI-TOF mass spectrometry (MALDI-TOF MS) combined with machine learning (ML) and Deep Learning (DL) to identify toxigenic strains (producing TcdA, TcdB with or without CDT) and Hv strains.

A predictive score for the result of carbapenem-resistant Enterobacterales and vancomycin-resistant enterococci screening.

Background: The duration of extensively drug-resistant bacteria (XDR) carriage depends on several factors for which the information can be difficult to recover.

Aim: To determine whether past screening and clinical results of patients can predict the results of subsequent screening.

Methods: In total, 256 patients were retrospectively included from 10 healthcare centres in France from January 2014 to January 2022.

Use of the quantitative antibiogram method for assessing nosocomial transmission of ESBL-producing Enterobacterales in a French hospital.

Background: Extended-spectrum beta-lactamase-producing Enterobacterales (eESBL) have high prevalence in hospitals, but real-time monitoring of nosocomial acquisition through conventional typing methods is challenging. Moreover, patient-to-patient transmission varies between the main species, namely Escherichia coli and Klebsiella pneumoniae, which draws into question the relevance of applying identical preventive measures.

Aim: To detect eESBL cross-transmission events (CTEs) using the quantitative antibiogram (QA) method in combination with epidemiological data (combined QA method), and to determine the effectiveness of standard or contact precautions for eESBL species.