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® 2 (bioMérieux, 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.

Klimik Dergisi 2017; 30(3): 149-52.

Cite this article as: Yapıcı O, Er H, Eres-Sarıtaş Z, et al. [Misidentified Candida lusitaniae, causative agent of fungemia as Candida famata by automated identification system in a patient with immune thrombocytopenia]. Klimik Derg. 2017; 30(3): 149-52. Turkish.

Volume 37, Issue 3 Volume 37, Issue 2 Volume 37, Issue 1 Volume 36, Issue 4 Volume 36, Supplement 1 Volume 36, Issue 3 Volume 36, Issue 2 Volume 36, Issue 1 Volume 35, Issue 4 Volume 35, Issue 3 Volume 35, Issue 2 Volume 35, Issue 1 Volume 34, Issue 3 Volume 34, Issue 2 Volume 34, Issue 1 Volume 33, Issue 3 Volume 33, Issue 2 Volume 33, Issue 1 Volume 32, Issue 3 Volume 32, Supplement 1 Volume 32, Supplement 2 Volume 32, Issue 2 Volume 32, Issue 1 Volume 31, Issue 3 Volume 31, Issue 2 Volume 31, Supplement 1 Volume 31, Issue 1 Volume 30, Issue 3 Volume 30, Issue 2 Volume 30, Supplement 1 Volume 30, Issue 1 Volume 29, Issue 3 Volume 29, Issue 2 Volume 29, Issue 1 Volume 28, Supplement 1 Volume 28, Issue 3 Volume 28, Issue 2 Volume 28, Issue 1 Volume 27, Supplement 1 Volume 27, Issue 3 Volume 27, Issue 2 Volume 27, Issue 1 Volume 26, Issue 3 Volume 26, Supplement 1 Volume 26, Issue 2 Volume 26, Issue 1 Volume 25, Issue 3 Volume 25, Issue 2 Volume 25, Issue 1 Volume 24, Issue 3 Volume 24, Issue 2 Volume 24, Issue 1 Volume 23, Issue 3 Volume 23, Issue 2 Volume 23, Issue 1 Volume 22, Issue 3 Volume 22, Issue 2 Volume 22, Issue 1 Volume 21, Issue 3 Volume 21, Supplement 2 Volume 21, Supplement 1 Volume 21, Issue 2 Volume 21, Issue 1 Volume 20, Issue 3 Volume 20, Supplement 2 Volume 20, Issue 2 Volume 20, Issue 1 Volume 20, Supplement 1 Volume 19, Issue 3 Volume 19, Issue 2 Volume 19, Issue 1 Volume 18, Issue 3 Volume 18, Supplement 1 Volume 18, Issue 2 Volume 18, Issue 1 Volume 17, Issue 3 Volume 17, Issue 2 Volume 17, Issue 1 Volume 16, Issue 3 Volume 16, Issue 2 Volume 16, Issue 1 Volume 1, Supplement 1 Volume 15, Issue 3 Volume 15, Issue 2 Volume 15, Issue 1 Volume 14, Issue 3 Volume 14, Issue 2 Volume 14, Issue 1 Volume 13, Issue 3 Volume 13, Issue 2 Volume 13, Supplement 1 Volume 13, Issue 1 Volume 12, Issue 3 Volume 12, Issue 2 Volume 12, Issue 1 Volume 11, Issue 3 Volume 11, Issue 2 Volume 11, Supplement 1 Volume 11, Issue 1 Volume 10, Issue 3 Volume 10, Issue 2 Volume 10, Issue 1 Volume 9, Issue 3 Volume 9, Issue 2 Volume 9, Issue 1 Volume 8, Issue 3 Volume 8, Issue 2 Volume 8, Issue 1 Volume 6, Issue 3 Volume 7, Issue 1 Volume 7, Issue 2 Volume 7, Issue 3 Volume 4, Issue 3 Volume 5, Issue 1 Volume 5, Issue 2 Volume 5, Issue 3 Volume 6, Issue 1 Volume 6, Issue 2 Volume 3, Issue 1 Volume 3, Issue 2 Volume 3, Issue 3 Volume 4, Issue 1 Volume 4, Issue 2 Volume 1, Issue 2 Volume 2, Issue 1 Volume 2, Issue 2 Volume 2, Issue 3 Volume 1, Issue 1