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1.
Mikrobiyol Bul ; 54(4): 523-534, 2020 Oct.
Artículo en Turco | MEDLINE | ID: mdl-33107282

RESUMEN

It has been reported that direct identification from blood culture bottles with positive signals and reporting the results to the clinics earlier has positive effects on mortality and morbidity. Extraction methods especially using detergents are used for the direct identification from the bottles which give positive signal. For this purpose, in-house methods developed based on the usage of saponin are widely available in the literature. In this study, it was aimed to develop a simple, easy-to-apply and reliable protocol for identifying the agent directly from the blood culture bottle that gives positive signal with the use of detergent Tween® 80, and to study the obtained protocol in clinical samples in a routine microbiology laboratory and to evaluate the results. The study was carried out in two stages, the experimental stage where the method was developed and the clinical stage where the method was applied. In the experimental stage, blood culture bottles were created with standard strains and isolates previously diagnosed with the 16S rRNA method. 10% solution of Tween® 80 was prepared with distilled water. 1 ml sample was transferred from the bottle that gave positive signal to the microcentrifuge tube, 100 µl of 10% solution of Tween® 80 was added, vortexed for 10 seconds and then incubated for 5 minutes at room temperature. The tubes were centrifuged for 5 min at 14.000 rpm, the supernatant was discarded and the pellet was washed with 1 ml of distilled water and centrifuged at 14.000 rpm for 5 minutes in three times. Samples taken from the pellets were rubbed on the slide and dried on air. Firstly, 1 µl of 70% formic acid, then 1 µl, of matrix solution was added and it was used after drying. In the second stage of the study, the method was applied to the 502 vials giving positive signal in the Microbiology Laboratory of Ankara University Faculty of Medicine Ibni Sina Hospital between 17 April 2018-31 August 2018 and the results were compared with the subculture results. The results obtained at the end of extraction in the experimental stage were compared with the subculture results and no statistical difference was found. In 383 (82.9%) bottles among 462 (92.1%) bottles with monomicrobial positive cultures, compatible results with the subculture results were obtained. Of the microorganisms correctly identified, 350 (91.3%) were bacteria and 33 (8.7%) were fungi. On the other hand, 216 (56.4%) of the bacteria were gram positive and 134 (34.9%) of them were gram negative bacteria. At least one microorganism was correctly identified in 19 (47.5%) of 40 (7.9%) bottles with polymicrobial blood cultures. Their distribution was gram negative (n= 10) and gram positive (n= 8) and yeast (n= 1). No microorganisms were identified in six bottles with polymicrobial cultures. According to the results, we believe that this in-house method developed using Tween® 80 will be a routinely applicable method for blood culture bottles that give positive signal in microbiology laboratories and it will contribute to the early diagnosis.


Asunto(s)
Bacteriemia , Cultivo de Sangre , Bacteriemia/diagnóstico , Bacterias , Humanos , Polisorbatos , ARN Ribosómico 16S/genética , Espectrometría de Masa por Láser de Matriz Asistida de Ionización Desorción
2.
Mikrobiyol Bul ; 51(1): 1-9, 2017 Jan.
Artículo en Turco | MEDLINE | ID: mdl-28283005

RESUMEN

Accurate identification of viridans group streptococci (VGS) frequently encountered as a causative agent of infective endocarditis is always a challenge for the clinical microbiology laboratory. Clinical microbiology laboratories generally use semi automatic/full automatic systems, molecular methods and also conventional methods for the identification of these bacteria. There are recent published studies that have used MALDI-TOF (Matrix Assisted Laser Ionization Mass Spectrometry-Time of Flight) systems in the identification of VGS. The aim of the study was to compare the performance of the conventional methods, semi automatic and MALDI-TOF MS system used in identification of VGS in oral microbiota of persons under the risk of infective endocarditis, with the gold standard method 16S rRNA sequence analysis and to create a diagnosis algorithm for the identification of VGS in clinical microbiology laboratories according to the obtained data.The study was conducted with 51 VGS strains isolated from oral microbiota of the patients with rheumatologic cardiac, valve and/or prosthetic valve diseases, under the risk of development of infective endocarditis, who have admitted to Ankara Numune Training and Research Hospital, Department of Cardiology, between February-June 2015. Standard microbiology procedures, optochin susceptibility and bile solubility tests were done for the isolation of bacteria. Bacteria were also identified with APISTREP (bioMérieux, France) and MALDI-TOF MS Bruker Microflex (Bruker Biotyper; Bruker Daltonics, Bremen, Germany) methods. BSF-8 (5´-AGAGTTTGATCCTGGCTCAG-3´) and BSR-534(5´-ATTACCGCGGCTGCTGGC-3´) primers were used in the 16S rRNA sequence analysis of bacteria. ABI PRISM 3100 Avan t Genetic Analyzer (Applied Biossytems, Foster City, CA, USA) were used for the sequence analysis. Electropherograms were analyzed in SeqScape Software (Applied Biosystems, Foster City, CA, USA) and compared with the reference sequences in GenBank with BLASTN (NCBI). According to the result of optochin and bile solubility tests, with API STREP system, 16 (31,37%) of the isolates were identified as Mitis group, 15 (29.41%) as Anginosus group, 9 (17.5%) as Salivarius group, 7 (13,73%) as Sanguinis group and 4 (7.84%) as Bovis group among optochin and bile resistant alpha hemolytic streptococci. Moreover, of the same isolates 20 (39.22%) were identified as Mitis group, 14 (27.45%) as Anginosus group, 13 (25.49%) as Salivarius group and 4 (7.84%) as Sanguinis group with MALDI-TOF system. In the identification with 16S rRNA, 25 (49.02%) of the isolates were identified as Mitis group, 13 (25.49%) as Anginosus group, 12 (23.53%) as Salivarius group and 1 (1.96%) as Sanguinis group. According to the results, it was determined that 33 (64.70%) of the isolates identified in MALDI-TOF MS system and 31 (60.78%) of the isolates identified in API STREP system were compatible with 16S rRNA sequence analysis method. For Mitis group, API STREP test sensitivity was 48.00% and specificity was 84.62% and MALDI-TOF system sensitivity was 80.00% and specificity was 100%. As VGS identification is a complicated process, we believe a single method will be insufficient for the identification of these isolates in clinical microbiology laboratories. We suggest that MALDI-TOF system can be used for VGS diagnosis, however, optochin test and/or molecular methods should also be included in the diagnosis algorithm when necessary.


Asunto(s)
ARN Ribosómico 16S/química , Espectrometría de Masa por Láser de Matriz Asistida de Ionización Desorción , Estreptococos Viridans/aislamiento & purificación , Algoritmos , Humanos , Sensibilidad y Especificidad , Estreptococos Viridans/clasificación , Estreptococos Viridans/genética
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