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Öğe Hepatitis B Virus Carrying Drug-resistance Compensatory Mutations in Chronically Infected Treatment-naive Patients(Galenos Yayincilik, 2016) Altindis, Mustafa; Aslan, Ferhat Gurkan; Koroglu, Mehmet; Eren, Ayla; Demir, Leyla; Uslan, Mustafa Ihsan; Aslan, SavasObjective: The prevalence of hepatitis B virus (HBV) is highly variable throughout the world. Geographical regions are classified according to the prevalence of hepatitis B surface antigen in the general population as high (>8%), moderate (2-7%), and low endemicity (<2%). Turkey has a moderate endemicity level of HBV infection which is a serious health problem. Currently, there are various nucleos(t)ide analogues with anti-HBV activity and they are mostly used in the treatment of chronic hepatitis B (CHB) and cirrhosis. The risk of drug resistance increases because these drugs are still being used as monotherapy. It has been reported that HBV drug resistance-related mutations can occur also in patients who are classified as treatment-naive and who have not received any oral anti-HBV treatment. Materials and Methods: This prospective and descriptive epidemiological study aimed to determine the genotype/subgenotypes of HBV and to investigate the drug resistance mutations in treatment-naive CHB patients. The study included 149 CHB patients who had no chronic co-infections, and have not received treatment for CHB infection. In 53 of the samples collected from the patients, the amount of viral DNA was enough for sequence analysis to search for drug resistance. BigDyeTM Terminator Cycle Sequencing Kit (Applied Biosystems, Foster City, Calif., USA) was used for sequencing of the serum samples from these patients and drug resistance mutations were determined and genotype/subgenotype detection was performed. Results: The mean viral load value was calculated as 9.84x10(6), and there was no primary drug resistance in any of these 53 samples which were sequenced. There were compensatory resistance-related amino acid changes in 19 samples. Genotype D was determined as HBV in all cases. Conclusion: The early detection of drug resistance-related mutations can be important in determination of treatment protocol, and prevention of unnecessary drug use, complications, and economic loses.Öğe A Multicenter Evaluation of Blood Culture Practices, Contamination Rates, and the Distribution of Causative Bacteria(Briefland, 2016) Altindis, Mustafa; Koroglu, Mehmet; Demiray, Tayfur; Dal, Tuba; Ozdemir, Mehmet; Sengil, Ahmet Zeki; Atasoy, Ali RizaBackground: The prognostic value of blood culture testing in the diagnosis of bacteremia is limited by contamination. Objectives: In this multicenter study, the aim was to evaluate the contamination rates of blood cultures as well as the parameters that affect the culture results. Materials and Methods: Sample collection practices and culture data obtained from 16 university/research hospitals were retrospectively evaluated. A total of 214,340 blood samples from 43,254 patients admitted to the centers in 2013 were included in this study. The blood culture results were evaluated based on the three phases of laboratory testing: the pre-analytic, the analytic, and the post-analytic phase. Results: Blood samples were obtained from the patients through either the peripheral venous route (64%) or an intravascular catheter (36%). Povidone-iodine (60%) or alcohol (40%) was applied to disinfect the skin. Of the 16 centers, 62.5% have no dedicated phlebotomy team, 68.7% employed a blood culture system, 86.7% conducted additional studies with pediatric bottles, and 43.7% with anaerobic bottles. One center maintained a blood culture quality control study. The average growth rate in the bottles of blood cultures during the defined period (1259 -26,400/year) was 32.3%. Of the growing microorganisms, 67% were causative agents, while 33% were contaminants. The contamination rates of the centers ranged from 1% to 17%. The average growth time for the causative bacteria was 21.4 hours, while it was 36.3 hours for the contaminant bacteria. The most commonly isolated pathogens were Escherichia coli (22.45%) and coagulase-negative staphylococci (CoNS) (20.11%). Further, the most frequently identified contaminant bacteria were CoNS (44.04%). Conclusions: The high contamination rates were remarkable in this study. We suggest that the hospitals' staff should be better trained in blood sample collection and processing. Sterile glove usage, alcohol usage for disinfection, the presence of a phlebotomy team, and quality control studies may all contribute to decreasing the contamination rates. Health policy makers should therefore provide the necessary financial support to obtain the required materials and equipment.