Misidentified Candida lusitaniae, Causative Agent of Fungemia, as Candida famata by Automated Identification System in a Patient With Immune Thrombocytopenia

Yapici O., Er H., Eres-Saritas Z., Ozhak-Baysan B., ÖĞÜNÇ M. D., ÖNGÜT G.

KLIMIK JOURNAL, vol.30, no.3, pp.149-152, 2017 (ESCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 30 Issue: 3
  • Publication Date: 2017
  • Doi Number: 10.5152/kd.2017.36
  • Journal Name: KLIMIK JOURNAL
  • Journal Indexes: Emerging Sources Citation Index (ESCI), Scopus, TR DİZİN (ULAKBİM)
  • Page Numbers: pp.149-152
  • Keywords: Candida lusitaniae, Candida famata, identification, fungemia, DESORPTION IONIZATION-TIME, FLIGHT MASS-SPECTROMETRY, INTENSIVE-CARE-UNIT, VITEK 2, INFECTIONS, EPIDEMIOLOGY
  • Akdeniz University Affiliated: Yes

Abstract

Since Candida species have different antifungal resistance characteristics, accurate identification of non-albicans Candida besides C. albicans is important for treatment of Candida infections with high mortality. In this report, a case of fungemia due to C. lusitaniae an opportunist pathogen for immunosuppressed patients, misidentified as C. famata by VITEK (R) 2 (bio-Merieux, Marcy l'Etoile, France) automated identification system was presented. Since isolate was identified as C. lusitaniae by conventional methods, its identification was confirmed using both MALDI-TOF/MS (Bruker Daltonics, Bremen, Germany) and Phoenix 100 (Becton Dickinson, Sparks, MD, USA) automated system. This case demonstrated that even though most of the clinically important Candida species can be identified by conventional methods, automated systems do not always make accurate identifications for rare species in particular. For this reason, conventional diagnostic methods should also be used together with automated systems, and further molecular diagnostic methods should be applied if necessary.