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Severe bradycardia in patients with obstructive sleep apnoea and good early response to CPAP.
Sleep Breath
January 2025
Department of Cardiac and Vascular Diseases, Jagiellonian University Medical College, John Paul II Hospital, Prądnicka 80, Kraków, 31-202, Poland.
Background: Obstructive sleep apnoea (OSA) may lead to heart rhythm abnormalities including bradycardia. Our aim was to ascertain clinical and echocardiographic parameters in patients with OSA in whom severe bradycardia was detected in an outpatient setting, as well as to evaluate the efficacy of CPAP therapy on heart rate normalization at the early stages of treatment.
Methods: Fifteen patients mild, moderate or severe OSA and concomitant bradycardia were enrolled.
Ventricular Depolarization Abnormalities and Their Role in Cardiac Risk Stratification - A Narrative Review.
Rev Cardiovasc Med
January 2025
Department of Cardiovasculair Sciences, KU Leuven, 3000 Leuven, Belgium.
Ventricular depolarization refers to the electrical activation and subsequent contraction of the ventricles, visible as the QRS complex on a 12-lead electrocardiogram (ECG). A well-organized and efficient depolarization is critical for cardiac function. Abnormalities in ventricular depolarization may indicate various pathologies and can be present in all leads if the condition is general, or in a subgroup of anatomically contiguous leads if the condition is limited to the corresponding anatomic location of the heart.
View Article and Find Full Text PDFThis analysis assessed the relationship between the plasma concentrations of loperamide and its N-desmethyl loperamide meta- bolite (M1) and the potential QT interval prolongation at therapeutic and supratherapeutic doses. The exposure-response analysis was performed using the data from healthy adults participating in a randomized, double-blind, single-dose, four-way (placebo; loperamide 8 mg [therapeutic]; loperamide 48 mg [supratherapeutic]; moxifloxacin 400 mg [positive control]) crossover study. The electrocardiographic measurements extracted from 12-lead digital Holter recordings were time-matched to pharmacokinetic sampling of loperamide/M1.
View Article and Find Full Text PDFThe added value of ECG abnormalities in predicting incident cardiovascular disease risk for people with type 2 diabetes: The Hoorn Diabetes Care System cohort.
Eur J Prev Cardiol
January 2025
Amsterdam UMC location Vrije Universiteit Amsterdam, Department of General Practice Medicine, De Boelelaan 1117, Amsterdam, The Netherlands.
Aims: To investigate if adding ECG abnormalities as a predictor improves the performance of incident CVD-risk prediction models for people with type 2 diabetes (T2D).
Methods: We evaluated the four major prediction models that are recommended by the guidelines of the American College of Cardiology/American Heart Association and European Society of Cardiology, in 11,224 people with T2D without CVD (coronary heart disease, heart failure, stroke, thrombosis) from the Hoorn Diabetes Care System cohort (1998-2018). Baseline measurements included CVD-risk factors and ECG recordings coded according to the Minnesota Classification as no, minor or major abnormalities.
Enhancing cardiovascular disease classification in ECG spectrograms by using multi-branch CNN.
Comput Biol Med
January 2025
Department of Electrical and Electronics Engineering, Sri Sivasubramaniya Nadar College of Engineering, Chennai, India. Electronic address:
Cardiovascular disease (CVD) is caused by the abnormal functioning of the heart which results in a high mortality rate across the globe. The accurate and early prediction of various CVDs from the electrocardiogram (ECG) is vital for the prevention of deaths caused by CVD. Artificial intelligence (AI) is used to categorize and accurately predict various CVDs.
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