The main clinical manifestations of patients with Pierre Robin sequence (PRS) include micrognathia, the glossoptosis and dyspnoea. The difficulty of tracheal intubation (TI) in such patients is increased. The purpose of the study was to evaluate the reliability and efficacy of the PRS simulator. A PRS simulator was developed by using 3-dimensional (3D) printing technology under computer-aided design. A total of 12 anaesthesiologists each trained 5 times for TI on the PRS Training Simulator-1 and recorded the simulation time. After the training, they were randomly divided into three groups with a total of 12 nontrained anaesthesiologists, and the simulation was completed on PRS Simulator-2, 3 and 4. The simulation time was recorded, and the performance was evaluated by three chief anaesthesiologists. Then, all 24 anaesthesiologists completed the questionnaire. A PRS simulator developed by 3D printing was used to simulate the important aspects of TI. The average number of years worked was 6.3 ± 3.1 years, and 66.7% were female. The time for the 12 anaesthesiologists to complete the training gradually decreased ( < 0.01). Compared with the trained anaesthesiologists, the simulation time of TI in the nontrained anaesthesiologists was much longer (all < 0.01). In addition, the simulation performance of the trained anaesthesiologists was relatively better (all < 0.01). The reliability and efficacy of the PRS simulator is herein preliminarily validated, and it has potential to become a teaching and training tool for anaesthesiologists.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10875733 | PMC |
http://dx.doi.org/10.3389/fphys.2023.1292523 | DOI Listing |
Front Med (Lausanne)
January 2025
International Laboratory of Bioinformatics, AI and Digital Sciences Institute, Faculty of Computer Science, HSE University, Moscow, Russia.
Background: Polygenic risk score (PRS) prediction is widely used to assess the risk of diagnosis and progression of many diseases. Routinely, the weights of individual SNPs are estimated by the linear regression model that assumes independent and linear contribution of each SNP to the phenotype. However, for complex multifactorial diseases such as Alzheimer's disease, diabetes, cardiovascular disease, cancer, and others, association between individual SNPs and disease could be non-linear due to epistatic interactions.
View Article and Find Full Text PDFHeliyon
January 2025
Gas Company of Hormozgan Province, National Iranian Gas Company, Hormozgan, Iran.
The absence of a mercaptan compounds analyzer in natural gas pressure reduction stations (PRS) odorizer leads to inaccuracies in the injection dosage, often resulting in quantities beyond standard limits and consequently increasing odorant consumption. Insufficient odorant levels in natural gas can pose safety risks to consumers, as the gas may become odorless at the end of the pipeline. Therefore, accurate determination of the concentration of key odorant compounds in natural gas can reduce both costs and environmental risks.
View Article and Find Full Text PDFPediatr Emerg Care
January 2025
Department of Emergency Medicine, Division of Pediatric Emergency Medicine, Mayo Clinic, Rochester, MN.
Objectives: ImPACTS (Improving Acute Care Through Simulation) is a collaborative simulation-based program partnering pediatric specialty centers ("hubs") with general emergency departments (GEDs) to improve pediatric acute care. Objective measurements of ImPACTS, such as evaluating Pediatric Readiness Score (PRS) and simulation-based outcome improvements, have been reported previously. Barriers to and facilitators of program involvement and the downstream effects of the program have not been previously described.
View Article and Find Full Text PDFUnlabelled: A polygenic risk score (PRS) is used to quantify the combined disease risk of many genetic variants. For complex human traits there is interest in determining whether the PRS modifies, i.e.
View Article and Find Full Text PDFmedRxiv
December 2024
Department of Medicine, Harvard Medical School, Boston, MA, USA.
Polygenic risk scores (PRSs) depend on genetic ancestry due to differences in allele frequencies between ancestral populations. This leads to implementation challenges in diverse populations. We propose a framework to calibrate PRS based on ancestral makeup.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!