Genotype distribution of hepatitis C virus (HCV) can vary over the years between different patient groups and regions. The prevalence of intravenous drug users (IVDU) is known to increase in our country, yet there are a limited number of studies investigating the distribution of HCV genotypes in this group. These data are essential for monitorization of the changes in HCV epidemiology. The present study aimed to evaluate the five-year results of HCV genotyping among patients infected with HCV related to IVDU and unrelated to drug use. Plasma samples of 720 patients (HCV antibody, HCV RNA positive), which were sent to our laboratory for HCV genotyping between January 2014-March 2019 were analyzed. HCV RNA extraction from plasma samples was performed in the automated-extraction system of EZ1 advanced (Qiagen, Germany) using the EZ1 virus mini kit v2.0 (Qiagen, Germany). Amplicons were obtained by amplifying the 5’NCR and core gene region in the Rotorgene 6000 real-time PCR (Qiagen, Germany) device with the HCV RNA real-time quantitative 2.0 (NLM, Italy) kit. For the genotyping, a commercial line probe assay (LIPA) based on in vitro reverse hybridization GEN-C2.0 kit (NLM, Italy) which can distinguish 1, 2, 3, 4, 6 genotypes and 1a, 1b, 2a/c, 2b, 3a, 3b, 3c, 3k, 4a, 4b, 4c/d, 4e, 4f, 4h, 5a, 6a/b, 6g, 6f/q, 6m, 7a subtypes of HCV, based on variations in the 5’-NCR and core regions was used. HCV genotype distribution of 266 IVDU (93.2%: male; median age: 25 ± 6.82) and 454 non-drug users (51.3%: male; median age: 56.5 ± 16.06) were examined. In order of frequency in the group with IVDU; genotype 1a, 3a, 1b, 4c/d, 2b, 4, 3 were observed and genotype 1, 2a/c and mixed genotype (1+3a) were detected in one patient. In the group without IVDU, in order of frequency; genotype 1b, 1a, 3a, 1, 2a/c, 4 were observed and genotype 2b, 4c/d, 5a, 6a/b, 6 and mixed genotype (3+4) were detected in one patient. Genotypes 1a and 3a were significantly higher in the IVDU group (p< 0.00001, p< 0.00001), while 1b was significantly higher in patients without IVDU (p< 0.00001). Genotypes 1a and 3a were more common in young men (p< 0.00001, p= 0.000163), while 1b was higher in middleaged women (p< 0.00001). The incidence of genotypes 1b (p= 0.021) and 3a (p= 0.012) was higher in foreign nationals than the Turkish patients. When the HCV genotype distribution was examined by years, it was observed that the percentages of genotype 1b and 1a were decreasing, while the percentage of genotype 3a was increasing. As a result, in this study, HCV genotype distribution among IVDU was observed to be different from the general population without IVDU. It was found that genotypes 1a and 3a were more common in the IVDU group. As in the other regions of our country, genotype 1b was found most frequently in the general population. Genotype 3a increases significantly compared to years. In our study, the determination of genotypes existing in different parts of the world may be due to the foreign nationals living in our city and our region is a tourism center. It is also necessary to investigate whether there is an increase in IVDU over the years.

Saprochaete capitata (formerly known as Blastoschizomyces capitatus, Trichosporon capitatum, Geotrichum capitatum) is a rare but emerging yeast-like fungus. It is commonly found in environmental sources and can be isolated from skin, gastrointestinal system and respiratory tract of healthy individuals as well. It mainly infects patients with hematological malignancies such as acute myeloid leukemia (AML), especially in the presence of neutropenia; and mortality rates are high in those patients. Although the data about the in vitro antifungal susceptibility are limited, it is being reported that amphotericin B and voriconazole are more effective on S.capitata isolates whereas caspofungin had no activity. Here, we report a case of fungemia and septic arthritis due to S.capitata in a patient with Fanconi aplastic anemia. A 22-year-old male patient with Fanconi aplastic anemia was hospitalized in our hematology department for bone marrow transplantation. Two days after the hospitalization, neutropenic fever developed and multiple nodules similar to candidiasis were detected in his liver with the whole abdomen magnetic resonance imaging (MRI). Caspofungin treatment (single 70 mg/kg loading dose, followed by 1 x 50 mg/kg/day) was started. The patient remained febrile, and his blood culture yielded S.capitata. The treatment regimen was changed to a combination of liposomal amphotericin B (3 mg/kg/day) and voriconazole (2 x 4 mg/kg/day). A few days later, pain and swelling came out on patient's left knee and he underwent a surgical process with the prediagnosis of septic arthritis. Culture of synovial fluid was also positive for S.capitata. On the 26th day of the hospitalization, the patient died due to sepsis and multiple organ failure. Patient's blood and synovial fluid samples were incubated in BacT/Alert automated blood culture system (bioMérieux, France). After receiving the growth signal, yeast cells were seen in Gram staining and cream-coloured, wrinkled, yeast-like colonies that were able to grow at 45oC and resistant to cycloheximide were detected on Sabouraud dextrose agar (SDA). Urease test was negative, and according to API 20C AUX (bioMérieux, France) system, none of the carbonhydrates were utilized except glucose. The isolates that were able to produce annelloconidia in corn meal-Tween 80 agar slide culture were identified as S.capitata. The identification was further confirmed by DNA sequence analysis. Minimal inhibitory concentrations (MICs) of amphotericin B, fluconazole, voriconazole, and caspofungin were found to be 0.5 µg/ml, 1.5 µg/ml, 0.032 µg/ml, and > 16 µg/ml respectively. Repetitive sequence based PCR (rep-PCR) (DiversiLab system, bioMérieux, France) was used to determine clonal relatedness of the isolates from blood and synovial fluid samples. The isolates were indistinguishable (similarity coefficient > 97%) according to rep-PCR. In conclusion, S.capitata infections should be taken into consideration in the presence of fungemia and septic arthritis in hematological patients who receive caspofungin therapy.

Cytomegalovirus (CMV) viral load quantitation is important in diagnosis, follow-up, and monitoring of antiviral therapy in transplanted patients. In this study, it was aimed to compare the results of the two commercial World Health Organization (WHO) International CMV standard calibrated polymerase chain reaction tests, CMV Cobas Ampliprep/Cobas Taqman (CMV-CAP/CTM) (Roche, Germany) and Artus CMV QIASymphony-Rotorgene (CMV-QS-RGQ) (Qiagen, Germany). Both tests were performed simultaneously on 244 plasma samples. The results were measured in copies/ml and converted to IU/ml by multiplying with 0.91 for CMV-CAP/CTM and 1.64 for CMV-QS-RGQ, as specified by the manufacturers. CMV DNA was detected in 174 (71.3%) and was not detected in 52 (21.3%) of the samples and eighteen (7.4%) samples had discordant results by both of the tests. In 16 out of 18 samples with discordance, the viral load was below the dynamic measuring ranges of both tests. In one sample, CMV DNA could not be detected by CMV-CAP/CTM but detected by CMV-QS-RGQ with 497 copies/ml, and 334 copies/ml CMV DNA was detected by CMV-CAP/CTM in another sample where it could not be detected by CMV-QS-RGQ. A high degree of agreement was found between the qualitative results of the both tests (kappa= 0.80, p< 0.001). For quantitative results in the dynamic measuring range of both assays (n= 129), the median viral load values measured by CMV-CAP/CTM and CMV-QS-RGQ were 1140 copies/ml (range: 151-254000) and 1826 copies/ml (range: 189-551521). When the results were converted to IU/ ml, the median viral load values measured by CMV-CAP/CTM and CMV-QS-RGQ were 1037 IU/ml (range: 137-231140) and 2993 IU/ml (range: 310-904133), respectively. There was a very strong correlation (r= 0.94, p< 0.001; r= 0.94, p< 0.001, respectively) between the log10 values of the quantitative results in the dynamic measuring ranges (n= 129) as copies/ml and IU/ml of both tests. CMV-QS-RGQ values corresponding to 150, 1000, 3000 copies/ml in CMV-CAP/CTM were as 94.5, 1571, 323.5 copies/ml and CMV-QS-RGQ values corresponding to 137, 910, 2730 IU/ml in CMV CAP/CTM were as 154, 2557.6, 6965.9 IU/ml, respectively. A variation of 0.45 log10 was determined between these values. In a total of 131 samples; 129 of them with the result of both tests in the dynamic measuring range and two of them which CMV DNA was not detected in one of the tests; it was found that 112 (85.5%) results for copy/ ml, 73 (56%) results for IU/ml were within the measurement difference of ± 0.5 log10 and 19 (14.5%) results for copy/ml and 58 (44%) results for IU/ml were greater than ± 0.5 log10. Bland-Altman analysis showed that CMV-CAP/CTM test made lower measurements than CMV-QS-RGQ and the average difference for copy/ml and IU/ml results were 0.22 log10 copies/ml and 0.47 log10 IU/ml. In conclusion; when the results were converted to IU/ml, the number of samples with an acceptable measurement difference between the two test results (≤ 0.5 log10) decreased and the number of samples with a measurement difference > 0.5 log10 increased and the difference was found as statistically significant (p< 0.001). Calibrating the Roche CMV CAP/CTM and Artus CMV-QS-RGQ tests with the WHO international CMV standard did not increase comparability between quantitative results in plasma samples, on the contrary, it was found that when the results were converted to IU/ml, a measurement difference indicating biologically significant viral replication was detected between the two test results.

Introduction: The aim of this study was to compare the performance of different clinical specimens—nasopharyngeal (NP) swabs collected by healthcare professionals (HCP-NP), self-collected nasal swabs (Sc-N), and saliva samples (S)—in diagnostic tests for investigating severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA and influenza A/B RNA. Methodology: These clinical samples were collected from 404 symptomatic cases and tested with the SARS-CoV-2 and influenza A/B RNA tests on the cobas 6800 System of Roche Molecular Systems (Roche Molecular Systems, Pleasanton, USA). The SARS-CoV-2 or influenza virus infection status was determined for all patients based on the predefined criteria and corresponding algorithms. Positive and negative predictive values (PPV, NPV), sensitivity, specificity, coefficient of variation (CV), interrater reliability, correlation, ,and days of sample collection of these three sample types were analyzed. Results: There was almost perfect agreement between the these sample types for the diagnosis of SARS-CoV-2 and influenza A. The overall performance (PPV, NPV, sensitivity) and reproducibility (CV ≤ 6%) were favorable. Additionally, they showed similar trends for days of sample collection. Conclusions: Diagnostic detection of SARS-CoV-2 and influenza RNA from Sc-N and S samples was comparable to HCP-NP samples. Using these samples would provide an advantage in diagnosing SARS-CoV-2 and influenza A infection, as they can be easily collected without the need for viral transport media.