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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.
A comparative analysis of risk stratification tools in systemic sclerosis-associated pulmonary arterial hypertension: a EUSTAR analysis.
Rheumatology (Oxford)
January 2025
Department of Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Objectives: The 2022 European Society of Cardiology and European Respiratory Society (ESC/ERS) Guidelines for pulmonary arterial hypertension (PAH) recommend risk stratification to optimize management. However, the performance of generic PAH risk stratification tools in patients with systemic sclerosis (SSc)-associated PAH remains unclear. Our objective was to identify the most accurate approach for risk stratification at SSc-PAH diagnosis.
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.
Impact of cardiac position, morphology and operative technique on long-term fontan outcomes in heterotaxy.
Eur J Cardiothorac Surg
January 2025
Division of Cardiovascular Surgery, The Labatt Family Heart Centre, The Hospital for Sick Children, Toronto, ON, Canada.
Objectives: This study aimed to assess the outcomes of heterotaxy patients undergone the Fontan operation, focusing on morphological features and surgical techniques.
Methods: Eighty-two consecutive heterotaxy patients who underwent the Fontan operation from 1985 to 2021 were compared to 150 patients with tricuspid atresia (TA) and 144 patients with hypoplastic left heart syndrome (HLHS). The Kaplan-Meier method and Cox proportional hazard model were used to analyze transplant-free survival and predictor of outcomes.
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