Publications by authors named "Jelena 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.

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  • 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.
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  • 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.
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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.

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Background: 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.

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Chronic inflammation is a continuous low-grade activation of the systemic immune response. Whereas downstream inflammatory markers are associated with atrial fibrillation (AF), upstream inflammatory effectors including eicosanoids are less studied. To examine the association between eicosanoids and incident AF.

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  • The heartbeat-evoked potential (HEP) is a brain response tied to heartbeats and is believed to indicate awareness of internal bodily states, known as interoception.
  • In a study comparing individuals with persistent atrial fibrillation (AF) to matched control subjects, researchers found that the HEP is notably reduced in those with AF, suggesting impaired communication between the heart and brain.
  • The findings imply that the diminished HEP, particularly in the right insular cortex, may serve as a potential marker for disrupted heart-brain interactions and could contribute to the common occurrence of asymptomatic AF.
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Background: PR interval prolongation is a preliminary stage of atrial cardiomyopathy which is considered as an intermediate phenotype for atrial fibrillation (AF). AF is a known risk factor for cerebrovascular adverse outcomes including stroke. Cerebral ischemia is one cause of white matter hyperintensities (WMHs), and cognitive dysfunction.

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Background: The prevalence of obesity is rising. Most previous studies that examined the relations between BMI and physical activity (PA) measured BMI at a single timepoint. The association between BMI trajectories and habitual PA remains unclear.

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Background: Social determinants of health, in particular education and income, influence the incidence, management, and outcomes of cardiovascular diseases including atrial fibrillation (AF). Data are limited on the associations of socioeconomic status with lifetime risk of incident AF.

Methods: We selected 2172 FHS participants (51% women) who were free of AF at the index age of 55 years.

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Social isolation might be considered as a marker of poor health and higher mortality. The aim of our analysis was to assess the association of social network index (SNI) with incident AF and death. We selected participants aged ≥ 55 years without prevalent AF from the Framingham Heart Study.

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Background: The electronic Framingham Heart Study (eFHS) is an ongoing nested study, which includes FHS study participants, examining associations between health data from mobile devices with cardiovascular risk factors and disease.

Objective: To describe application (app) design, report user characteristics, and describe usability and survey response rates.

Methods: Eligible FHS participants were consented and offered a smartwatch (Apple Watch), a digital blood pressure (BP) cuff, and the eFHS smartphone app for administering surveys remotely.

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Background Increased neck circumference, a proxy for upper-body subcutaneous fat, is associated with cardiovascular risk and metabolic risk factors, accounting for body mass index (BMI) and waist circumference. The association between neck circumference and incident atrial fibrillation (AF) is unclear. The aim of current study was to evaluate the association between neck circumference and incident AF.

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Background: Daily routines (eg, physical activity and sleep patterns) are important for diabetes self-management. Traditional research methods are not optimal for documenting long-term daily routine patterns in participants with glycemic conditions. Mobile health offers an effective approach for collecting users' long-term daily activities and analyzing their daily routine patterns in relation to diabetes status.

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Background: The most prominent risk factor for atrial fibrillation (AF) is chronological age; however, underlying mechanisms are unexplained. Algorithms using epigenetic modifications to the human genome effectively predict chronological age. Chronological and epigenetic predicted ages may diverge in a phenomenon referred to as epigenetic age acceleration (EAA), which may reflect accelerated biological aging.

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Aims: Heart failure with preserved ejection fraction (HFpEF) is a rapidly growing global health problem. To date, diagnosis of HFpEF is based on clinical, invasive, and laboratory examinations. Electrocardiographic findings may vary, and there are no known typical ECG features for HFpEF.

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Background: Left atrial volume (LAV) and low voltage areas (LVAs) are acknowledged markers for worse rhythm outcome after ablation of atrial fibrillation (AF). Some studies reported the importance of increased right atrial volume (RAV) as a predictor for arrhythmia recurrences in AF patients.

Objective: To investigate association between the LAV/RAV ratio and LVAs presence.

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High-density lipoprotein (HDL), best known for cholesterol transport, also has anti-inflammatory effects. Previous studies suggest involvement of myeloperoxidase (MPO) in modification of HDL. HDL bound Sphingosine-1-phosphate (S1P) has been implied to be an essential protein regarding beneficial HDL effects.

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Article Synopsis
  • A study analyzed trends in cause-specific mortality among individuals newly diagnosed with atrial fibrillation (AF) by looking at data from the Framingham Heart Study, focusing on cardiovascular (CVD) and non-CVD deaths over time.
  • Researchers divided AF cases by age at diagnosis and the period of diagnosis, finding a significant decrease in CVD mortality for those diagnosed under 80 years, while rates remained stable for those 80 and older.
  • The study concluded that most deaths among people with AF are now non-CVD-related, highlighting the role of factors like advancing age and prior heart conditions in increasing CVD death risk.
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Background: Alterations in electrocardiographic (ECG) intervals are well-known markers for arrhythmia and sudden cardiac death (SCD) risk. While the genetics of arrhythmia syndromes have been studied, relations between electrocardiographic intervals and rare genetic variation at a population level are poorly understood.

Methods: Using a discovery sample of 29 000 individuals with whole-genome sequencing from Trans-Omics in Precision Medicine and replication in nearly 100 000 with whole-exome sequencing from the UK Biobank and MyCode, we examined associations between low-frequency and rare coding variants with 5 routinely measured electrocardiographic traits (RR, P-wave, PR, and QRS intervals and corrected QT interval).

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Background: When studied in community-based samples, the association of physical activity with blood pressure (BP) remains controversial and is perhaps dependent on the intensity of physical activity. Prior studies have not explored the association of smartwatch-measured physical activity with home BP.

Objective: We aimed to study the association of habitual physical activity with home BP.

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Background: Recent studies have reported an association between N-terminal atrial natriuretic peptide (NT-proANP) and the progression of atrial fibrillation (AF). However, NT-proANP levels in peripheral and cardiac circulation in AF patients and in non-AF individuals need to be defined. The aims of the current study are (1) to analyze NT-proANP levels in peripheral and cardiac circulation in AF patients and (2) to compare NT-proANP levels in individuals with and without AF.

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Atrial fibrillation affects almost 60 million adults worldwide. Atrial fibrillation is associated with a high risk of cardiovascular morbidity and death as well as with social, psychological and economic burdens on patients and their families. Social determinants - such as race and ethnicity, financial resources, social support, access to health care, rurality and residential environment, local language proficiency and health literacy - have prominent roles in the evaluation, treatment and management of atrial fibrillation.

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