Evaluation of an Automated Yeasts Identification System for Identification of Yeast Isolates

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Er H., Koyuncu-Ozyurt O., Özhak B., Yazısız H., Eres-Sarıtas Z., Cetinkaya O., ...Daha Fazla

CLINICAL LABORATORY, cilt.66, sa.1-2, ss.143-147, 2020 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 66 Sayı: 1-2
  • Basım Tarihi: 2020
  • Doi Numarası: 10.7754/clin.lab.2019.190636
  • Dergi Adı: CLINICAL LABORATORY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, EMBASE, MEDLINE
  • Sayfa Sayıları: ss.143-147
  • Anahtar Kelimeler: invasive candidiasis, automated system, Candida species, CANDIDA, EPIDEMIOLOGY, PHOENIX(TM)
  • Akdeniz Üniversitesi Adresli: Evet

Özet

Background: Invasive candidiasis is the most important health-care-associated fungal infection worldwide. In the last two decades, the cause of the increase of fungal infections is immunosuppression or serious underlying diseases. Additionally, Rhodotorula species, Blastoschizomyces capitatus, and Trichosporon species are emerging as important human pathogens in immunocompromised patients with hematological malignancy.