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Nurses and allied professionals' engagement in clinical research-in-practice: a statement of the Association of Cardiovascular Nursing & Allied Professions of the European Society of Cardiology.
Eur J Cardiovasc Nurs
January 2025
Department of Nursing, Maastricht University Medical Centre, Maastricht, The Netherlands.
Many nurses and allied professionals (NAPs) lack the skills, knowledge and confidence to engage in conducting and implementing research. This statement describes the importance of NAPs' involvement in clinical research within the context of cardiovascular care. The existing gaps, barriers and enablers to NAPs involvement in research as a potential response to workforce issues in these professions as well as to contribute to excellence in patient care delivery and associated outcomes are identified.
View Article and Find Full Text PDFImportance: Delirium is common after cardiac surgery and associated with adverse outcomes. Intraoperative benzodiazepines may increase postoperative delirium but restricting intraoperative benzodiazepines has not yet been evaluated in a randomized trial.
Objective: To determine whether an institutional policy of restricted intraoperative benzodiazepine administration reduced the incidence of postoperative delirium.
Herbal Munziq Ameliorates Myocardial Ischemia-Reperfusion Injury by Inhibiting Inflammation.
J Vis Exp
January 2025
Department of Cardiac Surgery, the First Affiliated Hospital of Xinjiang Medical University;
The objective of this study was to investigate the cardioprotective effects of Munziq on abnormal body fluid myocardial ischemia-reperfusion injury (MIRI) and its underlying mechanism.Normal rats and rats with abnormal body fluid (ABF) were pre-treated with Munziq for 21 days. Following this, MIRI models were established.
View Article and Find Full Text PDFGenerative artificial intelligence enables the generation of bone scintigraphy images and improves generalization of deep learning models in data-constrained environments.
Eur J Nucl Med Mol Imaging
January 2025
Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Spitalgasse 23, Vienna, 1090, Austria.
Purpose: Advancements of deep learning in medical imaging are often constrained by the limited availability of large, annotated datasets, resulting in underperforming models when deployed under real-world conditions. This study investigated a generative artificial intelligence (AI) approach to create synthetic medical images taking the example of bone scintigraphy scans, to increase the data diversity of small-scale datasets for more effective model training and improved generalization.
Methods: We trained a generative model on Tc-bone scintigraphy scans from 9,170 patients in one center to generate high-quality and fully anonymized annotated scans of patients representing two distinct disease patterns: abnormal uptake indicative of (i) bone metastases and (ii) cardiac uptake indicative of cardiac amyloidosis.
Optimizing Sedation Strategies in the Cardiac ICU: Induction, Maintenance and Weaning.
Curr Cardiol Rep
January 2025
Cardiovascular Division, University of Minnesota, 420 Delaware Street SE, MMC 508, Minneapolis, MN, 55455, USA.
Purpose Of Review: We aim to summarize the available literature guiding tailored sedation practices for specific conditions encountered in the Cardiovascular Intensive Care Unit (CICU).
Recent Findings: Data specific for the CICU population is lacking. Preclinical data and observational studies guide sedation approaches for specific pathologies that we have used to generate a guideline for sedative choice for various scenarios.
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