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Is systolic blood pressure an early marker of concentric left ventricular geometry in young rugby athletes as a potential cardiac maladaptation?
Int J Cardiol Cardiovasc Risk Prev
March 2025
Division of Cardiology, Department of Internal Medicine, Showa University Fujigaoka Hospital, Yokohama, Japan.
Background: Long-term exercise training induces various morphological adaptations in the heart. Although concentric left ventricular (LV) geometry is occasionally observed in young athletes, its clinical significance is unclear. This study aimed to investigate the characteristics of young rugby athletes with concentric LV geometry and considered its clinical implications.
View Article and Find Full Text PDFAltered circadian rhythmicity of the QT interval predicts mortality in a large real-world academic hospital population.
Heliyon
January 2025
Department of Cardiology, University Medical Center Utrecht, Utrecht, the Netherlands.
Objective And Rationale: Small studies have shown that the QT interval follows a circadian rhythm. This finding has never been confirmed in a large real-world hospital population and the clinical meaning of disrupted rhythmicity remains unknown.
Methods: In this cohort study, all consecutive adult patients with at least one 12-lead ECG acquired between 1991 and 2021 were considered.
Conducting clinical trials with self-collection of pharmacokinetic samples: Experience from an exploratory, phase 1, open-label trial of centanafadine SR in healthy individuals.
Contemp Clin Trials Commun
February 2025
Verily Life Sciences, 269 E Grand Ave., South San Francisco, CA, 94080, USA.
Background: The COVID-19 pandemic accelerated a shift to decentralized clinical trials. We present the potential feasibility of this approach from a phase 1 pharmacokinetic (PK) trial.
Methods: Healthy adults (18-55 years) with a body mass index of 19.
Heart failure risk stratification using artificial intelligence applied to electrocardiogram images: a multinational study.
Eur Heart J
January 2025
Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT 06510, USA.
Background And Aims: Current heart failure (HF) risk stratification strategies require comprehensive clinical evaluation. In this study, artificial intelligence (AI) applied to electrocardiogram (ECG) images was examined as a strategy to predict HF risk.
Methods: Across multinational cohorts in the Yale New Haven Health System (YNHHS), UK Biobank (UKB), and Brazilian Longitudinal Study of Adult Health (ELSA-Brasil), individuals without baseline HF were followed for the first HF hospitalization.
Quest for the ideal assessment of electrical ventricular dyssynchrony in cardiac resynchronization therapy.
J Mol Cell Cardiol Plus
March 2024
Department of Physiology and Cardiology, the Netherlands.
This paper reviews the literature on assessing electrical dyssynchrony for patient selection in cardiac resynchronization therapy (CRT). The guideline-recommended electrocardiographic (ECG) criteria for CRT are QRS duration and morphology, established through inclusion criteria in large CRT trials. However, both QRS duration and LBBB morphology have their shortcomings.
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