Postoperative nausea and vomiting (PONV) is still an important and common problem. Despite the introduction of new antiemetic drugs, the management of PONV remains difficult. In this article we describe the development and evaluation of a management protocol for PONV, which consists of a treatment algorithm accompanied by a nursing education program. Implementation of this management protocol has been well-accepted by staff, appears to have reduced delay in patient treatment and improved patient care, and has significantly reduced staff workload. It is planned to use continuous quality improvement techniques to further refine the algorithm and continue assessment of its efficacy and of patient satisfaction.
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http://dx.doi.org/10.1177/0310057X9802600204 | DOI Listing |
BMC Infect Dis
January 2025
Department of Respiratory Medicine, Anting Hospital of Jiading District, 1060 Hejing Road, Anting Town, Jiading District, Shanghai, 201805, China.
Background: Respiratory tract infections (RTIs) are one of the leading causes of morbidity and mortality worldwide. The increase in antimicrobial resistance in respiratory pathogens poses a major challenge to the effective management of these infections.
Objective: To investigate the distribution of major pathogens of RTIs and their antimicrobial resistance patterns in a tertiary care hospital and to develop a mathematical model to explore the relationship between pathogen distribution and antimicrobial resistance.
BMC Cancer
January 2025
Young Academy of Gynecologic Oncology (JAGO), Nord-Ostdeutsche Gesellschaft für Gynäkologische Onkologie (NOGGO), Berlin, Germany.
Background: The integration of immune checkpoint inhibitors (ICIs) into routine gynecologic cancer treatment requires a thorough understanding of how to manage immune-related adverse events (irAEs) to ensure patient safety. However, reports on real-world clinical experience in the management of ICIs in gynecologic oncology are very limited. The aim of this survey was to provide a real-world overview of the experiences and the current state of irAE management of ICIs in Germany, Switzerland, and Austria.
View Article and Find Full Text PDFBMC Cancer
January 2025
Department of General, Visceral, and Transplantation Surgery, University of Heidelberg, Heidelberg, Germany.
Background: The COVID-19 pandemic affected healthcare systems worldwide, disrupting elective surgeries including those for cancer treatment. This study examines the effects of the pandemic on outcomes of pancreatic cancer surgeries at a specialized high-volume surgery center.
Materials And Methods: This study compared surgical volume and outcomes of pancreas resections between the pre-pandemic (January 2019 to February 2020), early pandemic (March 2020 to January 2021), and late pandemic (February 2021 to December 2021) periods.
Clin Drug Investig
January 2025
Cali Biosciences, US, LLC, San Diego, CA, USA.
Background And Objective: There is a significant medical need for improved long-acting local anesthetics to decrease postsurgical pain and reduce postoperative opioid use. While ropivacaine is considered a safer local anesthetic than bupivacaine, no long-acting ropivacaine formulation is currently marketed. Available formulations of bupivacaine show inconsistent pharmacokinetics (PK) among different surgical models, and inconsistency in PK may lead to a reluctance to use the medication owing to fear of local anesthetic systemic toxicity (LAST) or unreliable efficacy.
View Article and Find Full Text PDFJ Imaging Inform Med
January 2025
Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, U.S. Food and Drug Administration, 10903 New Hampshire Ave, Silver Spring, MD, 20993, USA.
Continuous and consistent access to quality medical imaging data stimulates innovations in artificial intelligence (AI) technologies for patient care. Breakthrough innovations in data-driven AI technologies are founded on seamless communication between data providers, data managers, data users and regulators or other evaluators to determine the standards for quality data. However, the complexity in imaging data quality and heterogeneous nature of AI-enabled medical devices and their intended uses presents several challenges limiting the clinical translation of novel AI technologies.
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