Introduction: It has been reported that microbiological diagnosis of Cutibacterium spp. infection requires a prolonged incubation time (up to 14 days). We present our experience with regard to incubation time for detection of Cutibacterium spp. in orthopaedic samples over a 10-year period.
Methods: One hundred and nineteen samples were included in this retrospective study. Fifty-three were implants (having previously undergone sonication), 64 were periprosthetic tissue biopsies and two were synovial fluids. Atkins's criteria were used for interpreting the isolates. Quantification and number of days until a culture became positive for Cutibacterium spp. were evaluated.
Results: The median number of days to detection of a clinically significant isolate and a contaminant was 4 days. No clinically significant isolates grew after day eight.
Conclusion: Most clinically significant isolates of Cutibacterium spp. are detected in the first 7 days of incubation, although a recommendation of prolonged incubation (up to 14 days) appears to be necessary for detecting other organisms.
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http://dx.doi.org/10.1016/j.eimce.2020.05.017 | DOI Listing |
Front Biosci (Elite Ed)
December 2024
Institute of Biochemistry and Physiology of Plants and Microorganisms - Subdivision of the Federal State Budgetary Research Institution Saratov Federal Scientific Centre of the Russian Academy of Sciences (IBPPM RAS), 410049 Saratov, Russia.
Since infections associated with microbial communities threaten human health, research is increasingly focusing on the development of biofilms and strategies to combat them. Bacterial communities may include bacteria of one or several species. Therefore, examining all the microbes and identifying individual community bacteria responsible for the infectious process is important.
View Article and Find Full Text PDFMicrobiol Spectr
November 2024
Laboratory of Pharmaceutical Microbiology, Ghent University, Ghent, Belgium.
Unlabelled: There is growing evidence that bacteria encountered in prosthetic joint infections (PJIs) form surface-attached biofilms on prostheses, as well as biofilm aggregates embedded in synovial fluid and tissues. However, models allowing the investigation of these biofilms and the assessment of their antimicrobial susceptibility in physiologically relevant conditions are currently lacking. To address this, we developed a synthetic synovial fluid (SSF2) model and validated this model by investigating growth, aggregate formation, and antimicrobial susceptibility using multiple PJI isolates belonging to various microorganisms.
View Article and Find Full Text PDFInt J Dermatol
November 2024
Center of Excellence in Immunology and Immune-Mediated Diseases, Department of Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Seborrheic dermatitis (SD) is a common, multifaceted skin condition, but its undefined etiology hampers the development of effective therapeutic strategies. In this review, we describe the intricate relationship between the skin microbiome and the pathogenesis of SD, focusing on the complex interplay between three major groups of organisms that can either induce inflammation (Malassezia spp., Staphylococcus aureus) or else promote healthy skin (Propionibacterium spp.
View Article and Find Full Text PDFInt J Antimicrob Agents
December 2024
Nakanoshima Orthopaedics, Kawasaki, Japan.
Background: In vitro, animal, and clinical comparative studies have revealed that combinations of rifampicin with antibacterial agents are effective in the treatment of biofilm-associated infections. This study aimed to assess the effectiveness of rifampicin combination therapies compared with monotherapies without rifampicin in patients with orthopaedic implant-related infections.
Materials And Methods: The clinical literature was comprehensively searched for studies assessing the effectiveness of rifampicin combination therapy in patients with orthopaedic implant-related infection.
J Ophthalmic Inflamm Infect
October 2024
Department of Biomedical and Clinical Sciences, Faculty of Medicine, Linköping University, Linköping, 581 83, Sweden.
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