Although Corynebacterium striatum is part of the human flora, it has recently drawn attention both for its multidrug resistance and its role as an invasive infection/outbreak agent. This cross-sectional study aimed to determine the antimicrobial resistance and clonal relationships among C. striatum strains. In total, 81 C. striatum strains were identified using Phoenix-100^TM (BD, Sparks, MD, USA). The antimicrobial resistance of the strains was determined using the Kirby–Bauer disk diffusion method. Clonal relatedness among the strains was performed via arbitrarily primed polymerase chain reaction (AP-PCR). All 81 C. striatum strains were resistant to penicillin, cefotaxime, ciprofloxacin, and tetracycline, but susceptible to vancomycin and linezolid. The resistance rates to gentamicin, erythromycin, and clindamycin were 34.6%, 79%, and 87.7% respectively. AP-PCR results showed no predominant clone among the C. striatum strains. Corynebacterium striatum is reportedly the cause of an increasing number of invasive infections/outbreaks. Moreover, treatment options are limited. The study showed that vancomycin, linezolid, and gentamicin can be selected for the empirical treatment of C. striatum infections. Although no single-clone outbreak was observed in our hospital, small clonal circulations were observed within some units, indicating cross-contamination. Therefore, a comprehensive infection control program is warranted in future.

Purpose: Vancomycin-resistant enterococci (VRE) have become a global health threat in the last two decades. In this study, we aimed to determine antibiotic resistance using phenotypic and genotypic methods in VRE strains obtained from inpatients and to investigate clonal relatedness among strains. Methods: Identification and antibiotic susceptibility of 47 VRE strains obtained from inpatients at Karabuk University Hospital from 2014 to 2015 were determined using the BD Phoenix™ automated microbiology system. Vancomycin resistance genes (Van A and B) were detected by polymerase chain reaction. Clonal relatedness among the strains was evaluated by pulsed-field gel electrophoresis (PFGE). Results: All 47 VRE strains obtained from rectal (n=35), blood (n=7), and urine (n=5) samples were confirmed as Enterococcus faecium; they were resistant to ampicillin, gentamicin, vancomycin, and teicoplanin. One E. faecium isolate was intermediately resistant to linezolid. No strain was resistant to quinupristin–dalfopristin or daptomycin. Only vanA was detected among strains. According to the PFGE results, 31 of 47 strains were clonally related with a clustering rate of 66%. No common clone was detected. Conclusion: VRE infections are associated with high mortality, morbidity, and healthcare expenditures. Increasing resistance to last-line drugs, such as linezolid and daptomycin, among VRE strains is a great concern. Therefore, comprehensive measures should be performed to reduce VRE colonization. Although there was no common clone VRE outbreak, polyclonal spread was observed in our hospital. The high clustering rate indicated cross-contamination. Thus, a more effective infection control program should be implemented.

Introduction: Acinetobacter baumannii is an opportunistic pathogen that causes nosocomial infections with high mortality. Treatment options are limited owing to its resistance to numerous antibiotics. Here, we sought to determine the antibiotic susceptibilities of A. baumannii isolates, investigate clonal relationship among the strains, and determine the frequency of beta-lactamase resistance genes. Methodology: The identification and antibiotic susceptibilities of 69 A. baumannii strains were determined using a BD-Phoenix automated system. The presence of blaOXA-2, blaOXA-10, blaOXA-23, blaOXA-24/40, blaOXA-51, blaOXA-58, blaTEM, blaSHV, blaIMP, blaVIM, and blaGIM genes were investigated using polymerase chain reaction (PCR), and clonal relatioships among the isolates were determined using pulsed-field gel electrophoresis (PFGE). Results: All strains were resistant to ampicillin–sulbactam, gentamicin, cefepime, ciprofloxacin, and ceftriaxone. While 65 of the 69 strains (94.2%) were resistant to piperacillin-tazobactam, amikacin, imipenem, and meropenem, all strains were susceptible to tigecycline and colistin. The frequencies of blaOXA-51, blaOXA-23, blaTEM, blaOXA-2, blaVIM, and blaSHV were 100%, 94.2%, 53.6%, 21.7%, 14.5%, and 2.9%, respectively. Based on PFGE results, 56 of the 69 strains were clonally related, and the clustering rate was 81.2%. No common outbreak isolate was detected. Conclusions: The most prevalent OXA genes were blaOXA-51, blaOXA-23, and blaOXA-2. Furthermore, blaTEM, blaSHV, and blaVIM, which are common in Enterobacterales and Pseudomonas spp, were detected, suggesting horizontal gene transfer had occurred between bacteria. No single clone outbreak was detected by PFGE. However, multiclonal spread and the high clustering rate suggest cross-contamination. Therefore, in future, more effective infection control measures must be implemented.

In recent years, the fast and accurate identification of the Candida species is of great importance as the response to antifungal treatment differs among species. Following the treatment of several immunosuppressive diseases, fungal infections can emerge. The aim of this study was to compare the accuracy, costs and time of result periods of the methods used in the identification of the most common human fungal infectious agent, Candida strains. From various clinical samples sent to the Microbiology Laboratory of Karabuk University Training and Research Hospital between July 2016-December 2017, a total of 91 yeast isolates cultivated in blood agar (Becton Dickinson, USA) and/or Sabouraud dextrose agar (SDA-Oxoid, UK), confirmed with colony morphology and microscopic appearance, identified as Candida species with a fully automated identification system (Phoenix (TM) Yeast ID Panel, Becton Dickinson Diagnostics, USA) were included in the study. All the samples were examined with sequence analysis using ITS1 forward 5'-TCC GTA GGT GAA CCT GCG G-3' and ITS4 reverse 5'-TCC TCC GCT TAT TGA TAT GC-3' primers (Iontek, Turkey) and the matrix-assisted laser desorption-ionisation time of flight mass spectrometry (MALDI TOF-MS) systems. Molecular sequence analysis was accepted as the gold standard method and the results were compared with those of the other methods MALDI TOF-MS and Phoenix (TM) Yeast ID Panel in respect of the accuracy of the identification of Candida strains. According to the results of the DNA sequence analysis of the 91 Candida isolates included in the study, 24 were identified as Candida albicans, 20 Candida tropicalis, 16 Candida parapsilosis, 13 Candida glabrata, seven Candida kefyr, six Candida krusei, two of each Candida dubliniensis, Candida guilliermondi and one Candida lusitaniae. Compared to the results of the DNA sequence analysis, the accurate identification of the fully automated Phoenix (TM) system and the MALDI TOF-MS system was found as 92.3% and 97.8%, respectively. In addition to accuracy, costs and time of result periods of the three methods were also compared. Disregarding the cost of the device in the 3 methods, when the comparison was made of the cost per test and the time to results after pure production in SDA agar, the MALDI TOF-MS system was determined to have the lowest costs and provided results in the shortest time. As some of the Candida strains have antifungal resistance, identification of the strains must be a priority in respect of starting early treatment. The MALDI TOF-MS system has high performance in accurate identification, low costs and the system provides the results within minutes, thereby allowing immediate decision to be made for the antifungal treatment to be started. Thus, the morbidity, mortality and cost rates will be reduced. In conclusion, as the MALDI TOF-MS is a rapid, reliable and low cost per test system, it can be considered suitable for routine use in laboratories.

Objective: As in all over the world, viral hepatitis is an important public health problem in our country. The aim of this study was to investigate the seroprevalence of hepatitis A, hepatitis B and hepatitis C in patients who applied to the Family Medicine out patient clinic at a university hospital. Methods: The data of the patients who were admitted to Karabuk University Education and Research Hospital Family Medicine out patient clinic for any reason between January 2016-December 2018 and who were asked for hepatitis markers were included in the study. Age, gender, demographic data, HBsAg, AntiHBs, AntiHCV, AntiHAVIgM and AntiHAVIgG ELISA test results were evaluated retrospectively. Results: Among 4297 people included in the study, 48.4% were female and 51.6% were male. The mean age was 36.9 +/- 14.7 (2-91) years. In our study, seropositivity was found in 1%, 45%, 0.8%, 0.1% and 57% of HBsAg, AntiHBs, AntiHCV, AntiHAVIgM and AntiHAVIgG tests, respectively. AntiHBs seropositivity rate was highest in the 0-29 age group. Conclusions: The rate of HBV, HCV and HAV infection was found to be low in the applicants of family medicine. With the inclusion of the HBV vaccine in the national vaccination program, AntiHbs positivity was significantly higher in the younger group.