Abstract IntroductionSimulation technology has an established role in teaching technical skills to cardiology fellows, but their impact on teaching trainees to interpret coronary angiographic (CA) images has not been systematically studied. The aim of this randomized controlled study was to test whether structured simulation training in addition to traditional methods would improve CA image interpretation skills in a group of novices to advanced medical trainees.MethodsWe prospectively randomized 105 subjects comprising of medical students (N=20), residents (N=68) and fellows (N=17) from the University of Arizona. Subjects were randomized into a simulation training group which received simulation training in addition to didactic teaching (n=53) and a control training group which received didactic teaching alone (n=52). The change in pre and post-test score (delta score) was analyzed by a two-way ANOVA for education status and training arm.ResultsSubjects improved in their post-test scores with a mean change of 4.6 ± 4.0 points. Subjects in the simulation training arm had a higher delta score compared to control (5.4 ± 4.2 versus 3.8 ± 3.7, p=0.04), with greatest impact for residents (6.6 ± 4.0 versus 3.5 ± 3.4) with a p=0.02 for interaction of training arm and education status.ConclusionsSimulation training complements traditional methods to improve CA interpretation skill, with greatest impact on novice trainees. This highlights the importance of incorporating high-fidelity simulation training early in cardiovascular fellowship curricula.
Accuracy of a Rapid Multiplex Polymerase Chain Reaction Plus a Chromogenic Phenotypic Test Algorithm for Detection of Extended-Spectrum β-Lactamase and Carbapenemase-Producing Gram-Negative Bacilli in Positive Blood Culture Bottles
Abstract We studied the performance of an algorithm combining multiplex polymerase chain reaction with phenotypic detection of extended-spectrum β-lactamases and carbapenemases directly from positive blood culture bottles in patients with gram-negative bacteremia and found good concordance with routine cultures. Such an algorithm may be a tool to improve time to optimal therapy in patients with gram-negative bacteremia.
Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)
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