Objective: To assess the incidence and the causes of failures of anaesthesia machines.
Study Design: Prospective survey from August 1995 to September 1997.
Material: Check-list and machine failure forms.
Methods: Failures of anaesthetic machines have been collected and entered into a database. Causes and treatment of each failure have been analysed.
Results: Of 5,096 foreseen forms, 3,926 (77%) have been completed after check-list or anaesthesia machine failure. Overall, 233 incidents have been declared (4.5%). Failures identified during the preoperative check-list (n = 96) were mainly related to mechanical problems, especially the gas proportioning device (35%). Perioperative failures (n = 137) were mostly related to electronic problems (ventilator: 27% and monitor: 57%). In more than half of the cases, a specially trained anaesthetic nurse was able to correct the failure in the operating theatre. Using 14 anaesthetic machines for 12 operating rooms, no procedure was cancelled because of a technical failure of a machine.
Conclusions: This study emphasizes the value of the check-list and the failure report. The presence of a specially trained anaesthetic nurse allows immediate correction of the majority of technical problems.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/s0750-7658(99)80055-0 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Sarcopenia and Cardiogeriatrics: The Links Between Skeletal Muscle Decline and Cardiovascular Aging.
Nutrients
January 2025
Department of Cardiology & 65+ Geriatric Outpatient Clinic, Amalia Fleming General Hospital, 14, 25th Martiou Str., 15127 Melissia, Greece.
Sarcopenia, an age-related decline in skeletal muscle mass, strength, and function, is increasingly recognized as a significant condition in the aging population, particularly among those with cardiovascular diseases (CVD). This review provides a comprehensive synthesis of the interplay between sarcopenia and cardiogeriatrics, emphasizing shared mechanisms such as chronic low-grade inflammation (inflammaging), hormonal dysregulation, oxidative stress, and physical inactivity. Despite advancements in diagnostic frameworks, such as the EWGSOP2 and AWGS definitions, variability in criteria and assessment methods continues to challenge standardization.
View Article and Find Full Text PDFNumerical Modelling of Hybrid Polymer Composite Frame for Selected Construction Parts and Experimental Validation of Mechanical Properties.
Polymers (Basel)
January 2025
Department of Material Science and Manufacturing Technology, Faculty of Engineering, Czech University of Life Sciences Prague, Kamycka 129, 16500 Prague, Czech Republic.
This article is a numerical and experimental study of the mechanical properties of different glass, flax and hybrid composites. By utilizing hybrid composites consisting of natural fibers, the aim is to eventually reduce the percentage usage of synthetic or man-made fibers in composites and obtain similar levels of mechanical properties that are offered by composites using synthetic fibers. This in turn would lead to greener composites being utilized.
View Article and Find Full Text PDFDynamic Tensile Response of Basalt Fibre Grids for Textile-Reinforced Mortar (TRM) Strengthening Systems.
Polymers (Basel)
January 2025
Institute of Science and Innovation in Mechanical and Industrial Engineering (INEGI), FEUP Campus, Rua Dr. Roberto Frias 400, 4200-465 Porto, Portugal.
The present work constitutes the initial experimental effort to characterise the dynamic tensile performance of basalt fibre grids employed in TRM systems. The tensile behaviour of a bi-directional basalt fibre grid was explored using a high-speed servo-hydraulic testing machine with specialised grips. Deformation and failure modes were captured using a high-speed camera.
View Article and Find Full Text PDFAbnormal Operation Detection of Automated Orchard Irrigation System Actuators by Power Consumption Level.
Sensors (Basel)
January 2025
Department of Agricultural Machinery Engineering, Graduate School, Chungnam National University, Daejeon 34134, Republic of Korea.
Information and communication technology (ICT) components, especially actuators in automated irrigation systems, are essential for managing precise irrigation and optimal soil moisture, enhancing orchard growth and yield. However, actuator malfunctions can lead to inefficient irrigation, resulting in water imbalances that impact crop health and reduce productivity. The objective of this study was to develop a signal processing technique to detect potential malfunctions based on the power consumption level and operating status of actuators for an automated orchard irrigation system.
View Article and Find Full Text PDFRevolutionizing Cardiology: The Role of Artificial Intelligence in Echocardiography.
J Clin Med
January 2025
Guthrie Cortland Medical Center, Cortland, NY 13045, USA.
Artificial intelligence (AI) in echocardiography represents a transformative advancement in cardiology, addressing longstanding challenges in cardiac diagnostics. Echocardiography has traditionally been limited by operator-dependent variability and subjective interpretation, which impact diagnostic reliability. This study evaluates the role of AI, particularly machine learning (ML), in enhancing the accuracy and consistency of echocardiographic image analysis and its potential to complement clinical expertise.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!