Evaluation of the New Automated Phoenix System for Detection of Special Resistance Mechanisms
نویسندگان
چکیده
s OBJECTIVES: The performance of the Phoenix system with regard to antimicrobial susceptibility testing (AST) for oxacillin of staphylococci, vancomycin of enterococci, and detection of extended spectrum beta-lactamases (ESBL) of Escherichia coli and Klebsiella spp. was evaluated. METHODS: A total of 278 staphylococci (117 Staphylococcus aureus, 161 coagulase negative staphylococci [CNS] were tested. The results were compared to the reference broth micro-dilution method, oxacillin screen agar, and mecA-gene detection. 163 enterococci were tested for vancomycin resistance, the results were compared to broth micro-dilution method, and vancomycin screen agar. A total of 203 E. coli and Klebsiella spp. were tested and the results were compared to broth micro-dilution method and ESBL screening test. Discrepant results were repeated in duplicate, all AST methods were performed according to NCCLS standards (1).
منابع مشابه
Survey on Perception of People Regarding Utilization of Computer Science & Information Technology in Manipulation of Big Data, Disease Detection & Drug Discovery
this research explores the manipulation of biomedical big data and diseases detection using automated computing mechanisms. As efficient and cost effective way to discover disease and drug is important for a society so computer aided automated system is a must. This paper aims to understand the importance of computer aided automated system among the people. The analysis result from collected da...
متن کاملA Novel Method for Skin Lesion Segmentation
Skin cancer has been the most usual and illustrates 50% of all new cancers detected each year. If they detected at an early stage, treatment can become simple and economically. Accurate skin lesion segmentation is important in automated early skin cancer detection and diagnosis systems. The aim of this study is to provide an effective approach to detect the skin lesion border on a purposed imag...
متن کاملA Novel Method for Skin Lesion Segmentation
Skin cancer has been the most usual and illustrates 50% of all new cancers detected each year. If they detected at an early stage, treatment can become simple and economically. Accurate skin lesion segmentation is important in automated early skin cancer detection and diagnosis systems. The aim of this study is to provide an effective approach to detect the skin lesion border on a purposed imag...
متن کاملPerformance characteristics of three automated immunoassays for thyroid hormones
Background: Since the introduction of the first radioimmunoassay, several improvements have been made in the design of immunoassays such as method of antibody production, labeling, automation and detection technology. We performed an analytical evaluation of the new electrochemiluminescent immunoassay (ECLIA) for serum TSH, FT4 and T3 in the Elecsys 2010 immunoassay system and compared the resu...
متن کاملA new memetic algorithm for mitigating tandem automated guided vehicle system partitioning problem
Automated Guided Vehicle System (AGVS) provides the flexibility and automation demanded by Flexible Manufacturing System (FMS). However, with the growing concern on responsible management of resource use, it is crucial to manage these vehicles in an efficient way in order reduces travel time and controls conflicts and congestions. This paper presents the development process of a new Memetic Alg...
متن کامل