Publications by authors named "J Kornej"
Background: Disorders affecting cardiac conduction are associated with substantial morbidity. Understanding the epidemiology and risk factors for conduction disorders may enable earlier diagnosis and preventive efforts.
Objectives: The purpose of this study was to quantify contemporary frequency and risk factors for electrocardiogram (ECG)-defined cardiac conduction disorders in a large multi-institutional primary care sample.
Article Synopsis
- Individuals with both atrial fibrillation (AF) and myocardial infarction (MI) experience higher mortality rates compared to those with only one of the conditions, and the study explores how the order in which these conditions occur may affect mortality.
- The Framingham Heart Study data, spanning from 1960 onward, was analyzed with over 10,000 participants to determine the hazard ratios of developing AF and MI, revealing that having interim MI significantly increases the risk of new-onset AF, and vice versa.
- The findings indicate a strong bidirectional relationship between AF and MI, with those suffering from both conditions facing substantially greater mortality risks, irrespective of which condition appeared first.
Article Synopsis
- Deep neural networks were used to analyze ECGs to estimate ECG-age, which predicts health outcomes, and researchers examined its relevance in a long-term study involving FHS participants.
- The study found that a gap between chronological age and ECG-age (Δage) significantly correlated with increased risks of death and various cardiovascular issues over an average follow-up of 17 years.
- Specifically, every 10-year increase in Δage resulted in higher risks of all-cause mortality, atrial fibrillation, myocardial infarction, and heart failure, indicating that both accelerated and decelerated aging can impact health outcomes significantly.
Atrial fibrillation (AF) is associated with an increased risk of myocardial infarction (MI) and vice versa. This bidirectional association relies on shared risk factors as well as on several direct and indirect mechanisms, including inflammation, atrial ischaemia, left ventricular remodelling, myocardial oxygen supply-demand mismatch and coronary artery embolism, through which one condition can predispose to the other. Patients with both AF and MI are at greater risk of stroke, heart failure and death than patients with only one of the conditions.
View Article and Find Full Text PDFBackground: Physical inactivity is a known risk factor for atrial fibrillation (AF). Wearable devices, such as smartwatches, present an opportunity to investigate the relation between daily step count and AF risk.
Objective: The objective of this study was to investigate the association between daily step count and the predicted 5-year risk of AF.