Impact of rapid identification by MALDI-TOF MS from positive blood cultures in Enterococcus spp. bloodstream infections.

Purpose: Regarding bloodstream infections (BSI) Enterococcus spp. rank among the top five most common organisms. Due to enterococci intrinsic resistance, empiric antibiotic therapy is often inappropriate and early identification becomes crucial.

Rapid detection of β-lactamase activity using the rapid Amp NP test.

Unlabelled: Urinary tract infections (UTIs) are the most common bacterial infections in humans. They are mainly caused by and other Enterobacterales for which increasing resistance to antibiotics and in particular to β-lactams is extensively reported. The detection of β-lactam resistance phenotypes is currently time-consuming (18 h).

Diagnostic and epidemiological landscape of anaerobic bacteria in Europe, 2020-2023 (ANAEuROBE).

Introduction: Despite being implicated in a wide spectrum of community- and healthcare-acquired infections, anaerobes have not yet been incorporated into systematic surveillance programs in Europe.

Methods: We conducted a multicentre retrospective observational study analysing all anaerobic strains isolated from blood cultures in 44 European Hospital Centres over a 4-year period (2020-2023). Diagnostic approach, epidemiology, and antimicrobial susceptibility according to EUCAST v.

Real-time evaluation of macozinone activity against through bacterial nanomotion analysis.

Novel drugs and improved diagnostics for (MTB) are urgently needed and go hand in hand. We evaluated the activity of two benzothiazinone drug candidates (MCZ, PBTZ169; BTZ043) and their main metabolites against MTB using advanced nanomotion technology. The results demonstrated significant reductions in MTB viability within 7 h, indicating the potential for rapid, precise antibiotic susceptibility testing based on a phenotypic read-out in real time.

Nanomotion technology: an innovative method to study cell metabolism in , as a potential indicator for tolerance.

Antibiotic tolerance corresponds to the bacterial ability to survive a transient exposure to antibiotics and is often associated with treatment failure. Current methods of identifying tolerance based on bacterial growth are time-consuming. This study explores the use of a growth-independent method utilizing nanomotion technology to detect antibiotic-tolerant bacteria.