ISSN: 2168-9784
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Case Report - (2019)Volume 8, Issue 1
Brucellose; Automated bacteri identification system; Misidentified
Brucellosis is one of the most common zoonotic diseases in the world and continues to be a public health problem and the cause of economic loss in developing countries. Brucellosis has no specific clinical manifestations because it can retain all organs and tissues. [1]. Although the organs of the liver, bone marrow, spleen, and lymph nodes, such as the lymphoreticular system, are more common; heart, genitourinary system organs, central nervous system can hold different organs and tissues such as joints [1]. Six species of Brucella genus have been identifiedB. melitensis is the most common cause of the disease in humans. Culture, serology, automated identification systems and polymerase chain reaction are used for its diagnosis [2,3].
Case 1
16-year-old female patient, preliminary diagnoses of pilonidal cyst, unspecified abdominal pain; Lab: Blood culture was regrown. Gram staining: Gram negative Coccobacillus was observed. We have used to automated bacterial identification system (Phoenix, Becton Dickinson, Sparks, Maryland, USA). The case was described as Burkholderia gladioli. It was seen oxydase (positive), additional test (Rose Bengal and Standard Tube Agglutination (STAT) was requested by contacting his clinician. Rose bengal: positive, STAT: 1/1280 positive. The culture sample was sent to the external laboratory. In which, ıt was described as B. melitensis with Vitec-2.
Case 2
23 year old female patient, bacterial meningitis, undefined prediagnosis; Lab: (CSF fluid-blood culture bottle was replicated. Gram staining: Gram negative Cocobacillus was detected. The sample was identified as Burkholderia gladioli with automated bacteria identification device. Rose bengal: positive. STAT: 1/640 positive. The culture sample was sent to the external laboratory in which it was defined as B.melitensis with Vitec-2.
Case 3
15 year-old female patient, preliminary diagnosis of Brucellosis; Lab: Blood culture was reproduction. Gram staining: Gram negative Cocobacillus was observed. We described to the example as Burkholderia gladioli by using Phoenix automated system. Oxidase was observed (positive), Rose bengal: positive, STAT: 1/2560 positive. The culture sample was sent to the external laboratory. It was described as B.melitensis. with Vitec-2.
Although proper treatment and eradication studies, brucellosis still remains an endemic disease for our country [3]. B. melitensis is the most common cause of the brucellosis in humans [1,2]. Automated systems are routinely used in most clinical laboratories for bacterium identification and antimicrobial susceptibility testing [3,4]. It should be noted that commercially available kits and Brucella species used in Gram negative bacteria identification can be misidentified [4,5]. However, in addition to gram negative identification card in Vitec 2 automated systems. It’s reported that B. melitensis is defined by looking at the result of oxidase test [6]. However, Phoenix system identification and broth based antimicrobial susceptibility testing algorithms; uses fluorogenic and chromogenic substrates and a data processing application (Phoenix EpiCenter; Becton Dickinson AG). Unfortunately, Brucella spp. are not available in this database. For this reason, our isolates have identified as incorrectly. They have stand out as Burkholderia gladioli. There are very little data in the literature on this subject. This state may cause late or incorrect treatment of Brucellosis. Delays in the diagnosis of brucellosis can affect the prognosis of lifethreatening complications (such as neurobrucellosis, endocarditis) [7]. Cekovska et al. [8]. According to the results of studies, Bact/Alert incubation system was used to isolate Brucella species from 16 blood cultures, using the automated Vitec 2 compact system; all strains were identified as B melitensis. BioMérieux Vitec 2 system and the Remel RapID NF Plus panel and the misdiagnosed B suis case as Ochrobactrum anthropia were fatal with incorrect treatment [9]. The RapID NF Plus system and the strains identified as Ochrobactrum anthropia and Brucella species were written using the rRNA sequence [10]. The rRNA results showed that all bacterial isolates were Brucella species, 100% reconciliation of known brucellae to the rRNA sequences and no homology to Ochrobactrum anthropy sequences. The isolate was then serotyped as Brucella suis by CDC [10]. Other authors reported the misidentification of Brucella species using automated identification systems. For example, Brucella spp. and Ochrobactrum anthropi are genetically closely related genera, but despite their phylogenetic relationship these bacteria are very different respect to interaction with host cells and pharmacological treatments. Other studies reported that it must be careful when automated identification systems identify O. anthropi and especially countries where brucellosis is endemic must be aware of the limitations of the automated microbiological system for Brucella identification [8-10]. Although Burkholderia gladioli is mainly known as a plant pathogen; it was reported as a human pathogen [11,12]. Our isolates have misidentified as Burkholderia gladioli. Experts agree that prompt identification of Brucella isolates is essential to provide appropriate treatment to patients and to control epidemiological outbreaks [13]. Misidentification of these highly infectious pathogens may lead to delays in diagnosis, but also to increased risks of accidental exposure for laboratory workers. MALDI-TOF mass spectrometer is reliable for Brucella identification to the genus level from culture plates and directly from blood culture bottles [13]. These cases showed that the deficiencies or limitations of automated systems should be well known. Consequently the database of automated bacterial identification system should update and complete with traditional methods for Brucella spp.
Citation: Sahin R (2019) Three Cases of Brucellosis Which Misidentified with Automated Bacterial Identification System. J Med Diagn Meth 8:281. doi: 10.35248/2168-9784.19.8.281
Received: 14-Dec-2018 Accepted: 09-Jan-2019 Published: 17-Jan-2019
Copyright: © 2019 Sahin R. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.