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http://dx.doi.org/10.4103/ija.IJA_512_16 | DOI Listing |
BMC Anesthesiol
December 2024
Department of Anesthesiology, The First People's Hospital of Foshan, Lingnan Road 81#, Foshan City, 528000, China.
Background: There is controversy surrounding the influence of dexmedetomidine on the recovery of postoperative gastrointestinal dysfunction in patients under general anesthesia. The main purpose of this meta-analysis is to evaluate the effect of dexmedetomidine administration during the perioperative period on the recovery of gastrointestinal function in patients under general anesthesia.
Methods: A systematic review and meta-analysis with trial sequential analysis was performed to identify randomized controlled trials comparing dexmedetomidine administration with placebo for the recovery of gastrointestinal function.
BMJ Open Qual
December 2024
Anesthesiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Background: There is an under-reporting of anaesthesia-related safety events. Incident-capturing systems (ICSs) are essential for patient safety monitoring, identifying risks and ongoing opportunities for improvement. After a literature review and assessment of our current ICSs, we concluded that our institution lacked a reliable anaesthesia-specific ICS system, leading to under-reporting of anaesthesia-related safety events.
View Article and Find Full Text PDFJ Clin Anesth
December 2024
The Second Affiliated Hospital and Yuying Childrens Hospital of Wenzhou Medical University, Department of Anesthesiology and Perioperative Medicine, Wenzhou, China. Electronic address:
Ann Med
December 2025
Department of Medicine, Office of Medical Education Research and Development, College of Human Medicine, Michigan State University, East Lansing, MI, USA.
Purpose: This study quantified the impact of clinical clerkships on medical students' disciplinary knowledge using the Comprehensive Clinical Science Examination (CCSE) as a formative assessment tool.
Methods: This study involved 155 third-year medical students in the College of Human Medicine at Michigan State University who matriculated in 2016. Disciplinary scores on their individual Comprehensive Clinical Science Examination reports were extracted by digitizing the bar charts using image processing techniques.
J Am Med Inform Assoc
December 2024
AI for Health Institute, Washington University in St Louis, St Louis, MO 63130, United States.
Objective: Early detection of surgical complications allows for timely therapy and proactive risk mitigation. Machine learning (ML) can be leveraged to identify and predict patient risks for postoperative complications. We developed and validated the effectiveness of predicting postoperative complications using a novel surgical Variational Autoencoder (surgVAE) that uncovers intrinsic patterns via cross-task and cross-cohort presentation learning.
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