Purpose: To evaluate the effect of the standardized laparoscopic simulation training program in pyeloplasty, following its implementation and during the COVID-19 pandemic.
Material And Methods: A retrospective chart review was performed at Hospital de Clínicas de Porto Alegre, a tertiary referral center in south Brazil, in which 151 patients underwent laparoscopic pyeloplasty performed by residents between 2006-2021. They were divided into three groups: before and after adoption of a standardized laparoscopic simulation training program and during the COVID-19 pandemic. The main outcome was a combined negative outcome of conversion to open surgery, major postoperative complications (Clavien-Dindo III or higher) or unsuccessful procedure, defined as need for redo pyeloplasty.
Results: There was a significant reduction in the combined negative outcome (21.1% vs 6.3%), surgical time (mean 200.0 min vs 177.4 min) and length of stay (median 5 days vs 3 days) after the adoption of simulation training program. These results were maintained during the COVID-19 pandemic (combined negative outcome of 6.3%, mean surgical time of 160.1 min and median length of stay of 3 days) despite a reduction in 55.4% of the surgical volume.
Conclusion: A structured laparoscopic simulation program can improve outcomes of laparoscopic pyeloplasty during the learning curve.
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http://dx.doi.org/10.1590/S1677-5538.IBJU.2023.0021 | DOI Listing |
Sci Rep
January 2025
Department of Mechanical Engineering, College of Engineering and Computer Sciences, Jazan University, P.O Box 45124, Jazan, Saudi Arabia.
Fluid flow across a Riga Plate is a specialized phenomenon studied in boundary layer flow and magnetohydrodynamic (MHD) applications. The Riga Plate is a magnetized surface used to manipulate boundary layer characteristics and control fluid flow properties. Understanding the behavior of fluid flow over a Riga Plate is critical in many applications, including aerodynamics, industrial, and heat transfer operations.
View Article and Find Full Text PDFBMC Med Educ
January 2025
Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
Introduction: Ultrasound is important in heart diagnostics, yet implementing effective cardiac ultrasound requires training. While current strategies incorporate digital learning and ultrasound simulators, the effectiveness of these simulators for learning remains uncertain. This study evaluates the effectiveness of simulator-based versus human-based training in Focused Assessed with Transthoracic Echocardiography (FATE).
View Article and Find Full Text PDFMed Intensiva (Engl Ed)
January 2025
Department of Developmental and Educational Psychology, University of Valencia, Spain.
Objectives: The main objective of this study was to evaluate whether the implementation of CoBaTrICE (Competency-Based Training in Intensive Care Medicine in Europe) provides higher levels of competency in comparison with the current official time-based program in Intensive Care Medicine in Spain. Secondary objectives were: 1) To determine the percentage of critical essential performance elements (CEPE) accomplished, 2) To determine compliance with workplace-based assessments (wba).
Design: Multicenter cluster randomized trial.
Surgery
January 2025
Department of Surgery, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL. Electronic address:
Entrustable professional activities are a competency-based evaluation framework which was deployed by the American Board of Surgery in 2023 to evaluate general surgical residents and provide a path to independent practice. Entrustable professional activity microassessments are based on 18 conditions which are core to being a practicing general surgeon, and most include multiple phases of care, such as preoperative care, intraoperative care, and postoperative care. These evaluations are an amalgam of all the clinical competencies, including medical knowledge and patient care skills.
View Article and Find Full Text PDFNano Lett
January 2025
Institute of Experimental and Applied Physics, Kiel University, Leibnizstr. 11-19, Kiel 24098, Germany.
Topological plasmonics combines principles of topology and plasmonics to provide new methods for controlling light, analogous to topological edge states in photonics. However, designing such topological states remains challenging due to the complexity of the high-dimensional design space. We present a novel method that uses supervised, physics-informed deep learning and surrogate modeling to design topological devices for desired wavelengths.
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