Publications by authors named "S Komec"

Background: Tuberculosis is still a significant global health challenge, with latent tuberculosis infection (LTBI) posing a risk for the development of active disease. This study aimed to compare the performance of the STAN-DARD F TB-Feron FIA test with the QuantiFERON-TB Gold Plus, a test endorsed by the World Health Organization (WHO), in detecting LTBI.

Methods: We included 137 participants, out of which 58.

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Background: Cytolytic vaginosis (CV) is a condition characterized by an increase in lactobacilli in the vaginal flora, causing complaints of discharge, itching, dyspareunia, and dysuria. Since there are no antimicrobials in the treatment protocols of CV, the diagnostic and therapeutic criteria of which were first defined by Cibley, differential diagnosis of CV from other vaginitis agents will prevent unnecessary use of antimicrobials and recurrent com-plaints. In our study, we aimed to determine the frequency of CV in patients presenting with vaginitis complaints and the diagnostic accuracy of the diagnostic criteria.

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Artificial intelligence (AI) is increasingly being used in medicine to enhance the speed and accuracy of disease diagnosis and treatment. AI-based image analysis is expected to play a crucial role in future healthcare facilities and laboratories, offering improved precision and cost-effectiveness. As technology advances, the requirement for specialized software knowledge to utilize AI applications is diminishing.

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Aspergillus species are common hyphal fungi. In addition to allergies and mycotoxicosis, Aspergillus species can cause various infections known as aspergillosis. Aspergillosis of the respiratory tract, central nervous system, skin and soft tissues is well described.

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Article Synopsis
  • The study focuses on Candida auris, a fungus increasingly found in patients globally, specifically comparing biochemical tests and antifungal resistance in strains from Türkiye's first reported cases.
  • Different identification methods, including various API tests and MALDI-TOF MS, were used to identify the strains, which were mostly misidentified as other organisms.
  • Results showed high fluconazole resistance (≥64 mg/L) across all strains and indicated potential issues with false positives using CHROMagar Candida Plus, highlighting the need for further understanding of C. auris clade distributions in Türkiye.
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