Objective: The aim of this study was to assess incidence, causes and consequences of equipment failures in a high volume, advanced endoscopic surgery department.
Methods: This is a prospectical observational single centre study between April and July of 2019 in the Gynecological surgery department of the Estaing University Hospital of Clermont-Ferrand, France. During the study period, 171 laparoscopies were observed. Data were collected real time by three supernumerary observers.
Results: In total, 66 (38.6%) laparoscopies were complicated by equipment failures. The bipolar cable and forceps accounted for 31% of the total amount of malfunctions in laparoscopy. Causes of malfunctions were in 45% due to the instrument per se and in 43% due to the incorrect combination of elements. Less commonly, the equipment was not available or a mismatched was reported. The total length of the surgery increased by 1.35% due to the malfunctions. Human error was identified in 50% of cases. No morbility, neither mortality was reported in this series; however we observed 34 malfunctions that could have led to serious consequences for the patients and 3 incidents induced a real consequence on the operation workflow.
Conclusions: Equipment failure is a common event in endoscopy. On the opposite, time wasted for the malfunctions is low in laparoscopy, as it only accounts for 1.35% of the overall surgical time. Human decisions contributed to malfunctions in almost half of cases. This alarming finding may advise for intensification in training on instruments of the whole surgical team.
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http://dx.doi.org/10.1016/j.jviscsurg.2020.10.018 | DOI Listing |
Sensors (Basel)
January 2025
School of Mechanical and Vehicle Engineering, Changchun University, Changchun 130022, China.
Predicting the Remaining Useful Life (RUL) is vital for ensuring the reliability and safety of equipment and components. This study introduces a novel method for predicting RUL that utilizes the Convolutional Block Attention Module (CBAM) to address the problem that Convolutional Neural Networks (CNNs) do not effectively leverage data channel features and spatial features in residual life prediction. Firstly, Fast Fourier Transform (FFT) is applied to convert the data into the frequency domain.
View Article and Find Full Text PDFMaterials (Basel)
January 2025
Department of Transport Engineering, Faculty of Mechanical Engineering and Design, Kaunas University of Technology, 44249 Kaunas, Lithuania.
Cyclic failure problems in layered ductile iron are evident in a wide range of elements in transportation and mining equipment and depend on production technology and operating conditions. The aim of this study was to analyze the effect of residual stresses on the behavior of cyclic and static failure. The stress intensity factor, crack initiation, propagation patterns, static tension diagrams, and fracture behavior of compact tension (CT) specimens were determined.
View Article and Find Full Text PDFMaterials (Basel)
January 2025
Faculty of Mechanical Engineering, University of West Bohemia, Univerzitni 2732/8, 301 00 Pilsen, Czech Republic.
This study explores the tensile performance of blind rivet joints in galvanized steel sheets, focusing on their behavior under shear and normal load conditions. Blind rivets are frequently used in structural applications due to their ease of installation and ability to be applied from one side, making them highly effective in industries like aerospace and automotive. Two types of DIN 7337-4.
View Article and Find Full Text PDFInt J Environ Res Public Health
January 2025
New York State, Bureau of Occupational Health and Injury Prevention, Albany, NY 12237, USA.
Roadway mortality increased during COVID-19, reversing a multi-decade downward trend. The Fatality Analysis Reporting System (FARS) was used to examine contributing factors pre-COVID-19 and in the COVID-19 era using the five pillars of the Safe System framework: (1) road users; (2) vehicles; (3) roadways; (4) speed; and (5) post-crash care. Two study time periods were matched to control for seasonality differences pre-COVID-19 ( = 1725, 1 April 2018-31 December 2019) and in the COVID-19 era ( = 2010, 1 April 2020-31 December 2021) with a three-month buffer period between the two time frames excluded.
View Article and Find Full Text PDFBeijing Da Xue Xue Bao Yi Xue Ban
February 2025
Second Clinical Division, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing 100101, China.
Objective: To compare the cyclic fatigue resistance of nickel-titanium files made by 3 new heat treatment in simulated S-shaped root canals at different temperatures.
Methods: Gold heat-treated nickel-titanium files TruNatomy (25 mm, tip size 26#/0.04) and ProTaper Gold (25 mm, tip size 25#/0.
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