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Structural and Functional Remodeling for Elite Cyclists During Exercise; Pressure Volume Loops and Hemodynamic Forces Analysis.
Am J Physiol Heart Circ Physiol
January 2025
Sport Medicine Unit, Careggi University Hospital, Via delle Oblate 4, 50134 Florence, Italy.
The study was designed to investigate the pattern of intraventricular Hemo-Dynamic Forces (HDF) and myocardial performance during exercise in Elite Cyclists (EC). Transthoracic stress echocardiography was performed on nineteen EC and thirteen age-matched sedentary controls (SC) at three incremental exercise intensities based on Heart Rate Reserve (HRR). Left Ventricular (LV) HDF were computed from echocardiography long-axis data sets using a novel technique based on endocardial boundary tracking, both in apex-base and latero-septal directions.
View Article and Find Full Text PDFThe clinical assessment of lung involvement in patients with Still's disease, results from the multicentre international AIDA Network Still's Disease Registry.
Rheumatology (Oxford)
January 2025
Department of Medical Sciences, Surgery and Neurosciences, Research Center of Systemic Autoinflammatory Diseases and Behçet's Disease Clinic, University of Siena, Siena, Italy.
Objectives: To assess the lung involvement in patients with Still's disease, an inflammatory disease assessing both children and adults. To exploit possible associated factors for parenchymal lung involvement in these patients.
Methods: A multicentre observational study was arranged assessing consecutive patients with Still's disease characterized by the lung involvement among those included in the AIDA (AutoInflammatory Disease Alliance) Network Still's Disease Registry.
How to manage new-onset atrial fibrillation following ST-segment elevation myocardial infarction.
J Interv Card Electrophysiol
January 2025
Second Department of Internal Medicine, University of Toyama, 2630 Sugitani, Toyama, 930-0194, Japan.
Key Concepts in Machine Learning and Clinical Applications in the Cardiac Intensive Care Unit.
Curr Cardiol Rep
January 2025
Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Purpose Of Review: Artificial Intelligence (AI) technology will significantly alter critical care cardiology, from our understanding of diseases to the way in which we communicate with patients and colleagues. We summarize the potential applications of AI in the cardiac intensive care unit (CICU) by reviewing current evidence, future developments and possible challenges.
Recent Findings: Machine Learning (ML) methods have been leveraged to improve interpretation and discover novel uses for diagnostic tests such as the ECG and echocardiograms.
Analysis of Platelet Morphological Parameters as Clinical Risk Stratification in Acute Coronary Syndrome.
Catheter Cardiovasc Interv
January 2025
Department of Cardiology, The Second Hospital of Shandong University, Jinan, Shandong, People's Republic of China.
Background: Platelet activation plays a central role in the pathogenesis of acute coronary syndrome (ACS). Platelet morphological parameters, including MPV, PDW, and P-LCR, are emerging as biomarkers for predicting the severity of ACS and prognosis.
Aims: This study aims to assess the relationship between these parameters and coronary severity and to evaluate their predicting adverse outcomes.
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