Background: Determining oxacillin susceptibility using reference methods and automated systems is crucial for treating invasive infections caused by . This study compares the oxacillin susceptibility results from the two automated systems with agar dilution and correlates them with genotypes of invasive .
Methods: Non-duplicate invasive isolates were collected over an 11-year period. The oxacillin susceptibility was determined with Phoenix 100 (Jan 2011 to Aug 2018) or Vitek 2 (Sep 2018 to Dec 2021), and susceptibility for oxacillin and cefoxitin was determined with agar dilution. Methicillin-resistant (MRSA) was confirmed with existence, and the genotype was determined using SCC. The association between genotype and antibiotic susceptibility using two automated systems and agar dilution was evaluated.
Results: A total of 842 invasive , including 443 + MRSA and 399 - MSSA, were collected. The susceptibility rates of oxacillin determined by two automated systems and agar dilution were 68.8% (76.8% for Phoenix 100 and 57.6% for Vitek 2) and 54.0%, respectively. When compared with the oxacillin susceptibility using agar dilution, the categorical agreement for Phoenix 100 and Vitek 2 were 0.46% and 0.88%, respectively ( < 0.001). One hundred and forty-three isolates were misinterpreted as oxacillin-susceptible (OSSA) using automated systems while comparing with agar dilution, among which molecularly community-associated MRSA (CA-MRSA) outnumbered healthcare-associated MRSA (HA-MRSA) (99 vs 34, < 0.001). There were 70 + OSSA (OS-MRSA) using agar dilution, among which 42 harbored SCC types were predominantly categorized as CA-MRSA (38, < 0.001).
Conclusion: The categorical agreement of Vitek 2 in determining oxacillin susceptibility and predicting existence is comparable with agar dilution, whereas Phoenix 100 is not. Most of those ORSA determined by agar dilution but misinterpreted as OSSA by automated systems and OS-MRSA are categorized as CA-MRSA.
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http://dx.doi.org/10.2147/IDR.S445211 | DOI Listing |
BMC Microbiol
January 2025
Department of Microbiology and Immunology, Faculty of Pharmacy, Cairo University, Kasr El-Aini Street, Cairo, 11562, Egypt.
Background: One of the main issues facing public health with microbial infections is antibiotic resistance. Nanoparticles (NPs) are among the best alternatives to overcome this issue. Silver nanoparticle (AgNPs) preparations are widely applied to treat multidrug-resistant pathogens.
View Article and Find Full Text PDFPak J Pharm Sci
January 2025
Department of Medical Microbiology, Cerrahpasa School of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey.
Antimicrobial peptides (AMPs) may mitigate the danger of increasing antimicrobial resistance. We aimed to determine the activities of catestatin, temporin A, nisin and cecropin A against Bacteroides fragilis ATCC 25285, Prevotella melaninogenica ATCC 25845, Cutibacterium acnes ATCC 6919, Peptostreptococcus anaerobius ATCC 27337 and Peptostreptococcus stomatis DSM 17678. strains.
View Article and Find Full Text PDFCureus
December 2024
Orofacial Pain, Eastman Institute for Oral Health, Rochester, USA.
Introduction Complex interactions between cariogenic bacteria and host factors modulate dental caries. , a gram-positive facultative anaerobe plays a prominent role in the initiation of caries. The ability of to adhere to salivary enamel pellicle results in an acidic local habitat for the organism.
View Article and Find Full Text PDFPlant Dis
January 2025
USDA-ARS , Ithaca, United States.
J Vet Res
December 2024
Department of Life Science and Engineering, Foshan University, 52800 Foshan, China.
Introduction: (MG) infection is a primary cause of chronic respiratory disease in poultry, threatening the economic viability of China's goose-farming industry. This study investigated the pathogenicity and drug resistance of an MG strain isolated from geese and whole-genome sequenced the strain.
Material And Methods: A strain designated MG-GD01/22 was isolated from the air-sac tissues of five geese with chronic respiratory disease on a Guangdong goose farm.
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