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Sodium zirconium cyclosilicate for MRAs optimization in HFrEF: lessons learned from the REALIZE-K trial.

Heart Fail Rev

January 2025

Centre d'Investigations Cliniques Plurithématique 1433 and INSERM U1116, CHRU Nancy, FCRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists), Institut Lorrain du Coeur Et Des Vaisseaux, CHRU de Nancy, Université de Lorraine, Nancy, France.

Mineralocorticoid receptor antagonists (MRAs) are a cornerstone of guideline-directed medical therapy for heart failure with reduced ejection fraction (HFrEF), offering significant benefits in reducing mortality and hospitalizations. However, their use is often constrained by the risk of hyperkalemia, particularly in patients with chronic kidney disease. Patiromer and sodium zirconium cyclosilicate (SZC), two novel potassium binders, have emerged as highly effective and safe tools for managing hyperkalemia and enabling the optimization of MRA therapy.

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Evolution of artificial intelligence in healthcare: a 30-year bibliometric study.

Front Med (Lausanne)

January 2025

Department of Cardiology, Heart Center, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.

Introduction: In recent years, the development of artificial intelligence (AI) technologies, including machine learning, deep learning, and large language models, has significantly supported clinical work. Concurrently, the integration of artificial intelligence with the medical field has garnered increasing attention from medical experts. This study undertakes a dynamic and longitudinal bibliometric analysis of AI publications within the healthcare sector over the past three decades to investigate the current status and trends of the fusion between medicine and artificial intelligence.

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Unlabelled: There are some reports of atrial screw-in lead perforation, but the entire lead body is rarely exposed outside the right atrium at an early stage of the procedure. A man in his 80s had undergone catheter ablation for atrial fibrillation (AF) and had recurrent AF and tachycardia-bradycardia syndrome with 8.8 s of sinus arrest, which caused presyncope.

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Background: Comprehensive clinical data regarding factors influencing the individual disease course of patients with movement disorders treated with deep brain stimulation might help to better understand disease progression and to develop individualized treatment approaches.

Methods: The clinical core data set was developed by a multidisciplinary working group within the German transregional collaborative research network ReTune. The development followed standardized methodology comprising review of available evidence, a consensus process and performance of the first phase of the study.

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Unobtrusive pulse rate monitoring by continuous video recording, based on remote photoplethysmography (rPPG), might enable early detection of perioperative arrhythmias in general ward patients. However, the accuracy of an rPPG-based machine learning model to monitor the pulse rate during sinus rhythm and arrhythmias is unknown. We conducted a prospective, observational diagnostic study in a cohort with a high prevalence of arrhythmias (patients undergoing elective electrical cardioversion).

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