Background: Sink drains in hospitals are notorious reservoirs of bacteria, hosting both planktonic micro-organisms and biofilms within the siphon. Disinfectants based on peracetic acid are both non-corrosive and effective in eliminating biofilm and planktonic micro-organisms, presenting a potential solution for decontaminating sink drains.
Aim: To examine the effectiveness of Clinell Drain Disinfectant, a peracetic-acid-based disinfectant, in the intensive care unit (ICU) of UZ Brussel.
Background: Verona integron-encoded metallo-β-lactamase-producing Pseudomonas aeruginosa (VIM-PA) outbreaks are frequently linked to contaminated sink-drains in the intensive care unit (ICU). This study aims to investigate a VIM-PA outbreak occurring at 4 ICUs in a Belgian university center.
Methods: Between 01/01/2019 and 30/07/2023, data were retrospectively retrieved.
Antimicrobial susceptibility testing (AST) by disk diffusion provides an accurate image of bacterial growth, enabling the detection of culture purity, heterogeneous growth, and antibiotic interactions. However, this manual method is time-consuming and visual interpretation is prone to errors. To overcome these disadvantages, the Radian® In-Line Carousel (Copan, Brescia, Italy) was launched, which is a WASPLab® module dedicated to full automation of (pre)-analytical steps as well as interpretation of disk diffusion AST.
View Article and Find Full Text PDFBackground: The effect of the Coronavirus Disease 2019 (COVID-19) pandemic on gram-negative bacteria nonsusceptibility to antibiotics is unclear.
Methods: Between January 1, 2010, and December 31, 2021, the respiratory samples of intensive care unit patients at 3 University Hospitals in Brussels were retrieved. Based on the nonsusceptibility to antimicrobial classes, drug-resistance patterns were defined as multi-drug-resistant, extensively drug-resistant, and pan-drug-resistant.
It is generally accepted that microorganisms can colonize a non-pathological endometrium. However, in a clinical setting, endometrial samples are always collected by passing through the vaginal-cervical route. As such, the vaginal and cervical microbiomes can easily cross-contaminate endometrial samples, resulting in a biased representation of the endometrial microbiome.
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