Background: Atrial fibrillation (AF) is common in chronic heart failure (HF) patients and influences the choice and effects of drug and device therapy. In this large real-world HF registry, we studied whether the presence of AF affects the prescription of guideline-recommended HF therapy.

Methods: We analyzed 8253 patients with chronic HF with reduced ejection fraction (HFrEF) from 34 Dutch outpatient clinics included in the period between 2013 and 2016 treated according to the 2012 ESC guidelines.

Results: 2109 (25.6%) of these patients were in AF (mean age 76.8 ± 9.2 years, 65.0% were men) and 6.144 (74.4%) had no AF (mean age 70.7 ± 12.2 years, 63.6% were men). Patients with AF more often received beta-blockers (81.7% vs. 79.7%, p = 0.04), MRAs (57.1% vs. 51.7%, p < 0.01), diuretics (89.7% vs. 80.6%, p < 0.01) and digoxin (40.1% vs. 9.3%, p < 0.01) compared to patients without AF, whereas they less often receive renin-angiotensin-system (RAS)-inhibitors (76.1% vs. 83.1%, p < 0.01). The number of patients who received beta-blockers, RAS-inhibitor and MRA at ≥50% of the recommended target dose was comparable between those with and without AF (16.6% vs. 15.2%, p = 0.07).

Conclusion: In this large cohort of chronic HFrEF patients, the prevalence of AF was high and we observed significant differences in prescription of both guideline-recommended HF between patients with and without AF.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.ijcard.2020.03.001DOI Listing

Publication Analysis

Top Keywords

atrial fibrillation
8
chronic heart
8
heart failure
8
failure patients
8
reduced ejection
8
ejection fraction
8
patients
5
fibrillation chronic
4
patients reduced
4
fraction check-hf
4

Similar Publications

Lateral Atrial Expression Patterns Provide Insights into Local Transcription Disequilibrium Contributing to Disease Susceptibility.

Circ Genom Precis Med

January 2025

CARIM School for Cardiovascular Diseases (A.I., S.Z., J.W., B.B., H.J.G.M.C., B.H., M.K., S.V., U.S., M.S.), Maastricht University, the Netherlands.

Background: Transcriptional dysregulation, possibly affected by genetic variation, contributes to disease development. Due to dissimilarities in development, function, and remodeling during disease progression, transcriptional differences between the left atrial (LA) and right atrial (RA) may provide insight into diseases such as atrial fibrillation.

Methods: Lateral differences in atrial transcription were evaluated in CATCH ME (Characterizing Atrial fibrillation by Translating its Causes into Health Modifiers in the Elderly) using a 2-stage discovery and replication design.

View Article and Find Full Text PDF

Atrial fibrillation (AF) is common and its treatment is complex. The new European guidelines emphasize a patient-centered approach, considering the risk factors that contribute to AF and their management in primary and secondary prevention. Recent advances in electrophysiology include the development of new ablation techniques and the implantation of a leadless bicameral pacemaker.

View Article and Find Full Text PDF

Research on atrial fibrillation diagnosis in electrocardiograms based on CLA-AF model.

Eur Heart J Digit Health

January 2025

Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, No. 88 West Taishan Road, Zhuzhou 412007, Hunan, China.

Aims: The electrocardiogram (ECG) is the primary method for diagnosing atrial fibrillation (AF), but interpreting ECGs can be time-consuming and labour-intensive, which deserves more exploration.

Methods And Results: We collected ECG data from 6590 patients as YY2023, classified as Normal, AF, and Other. Convolutional Neural Network (CNN), bidirectional Long Short-Term Memory (BiLSTM), and Attention construct the AF recognition model CNN BiLSTM Attention-Atrial Fibrillation (CLA-AF).

View Article and Find Full Text PDF

Multimodal data integration to predict atrial fibrillation.

Eur Heart J Digit Health

January 2025

Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, 401 East River Parkway, Minneapolis, MN, USA.

Aims: Many studies have utilized data sources such as clinical variables, polygenic risk scores, electrocardiogram (ECG), and plasma proteins to predict the risk of atrial fibrillation (AF). However, few studies have integrated all four sources from a single study to comprehensively assess AF prediction.

Methods And Results: We included 8374 (Visit 3, 1993-95) and 3730 (Visit 5, 2011-13) participants from the Atherosclerosis Risk in Communities Study to predict incident AF and prevalent (but covert) AF.

View Article and Find Full Text PDF

Wristwatch pulse wave monitoring: assessing daily activity post-catheter ablation for atrial fibrillation.

Eur Heart J Digit Health

January 2025

Department of Cardiovascular Medicine, Kyorin University, 6-20-2, Shinkawa, Mitaka-city, Tokyo 181-8611, Japan.

Aims: Atrial fibrillation (AF) leads to impaired exercise capacity, and catheter ablation (CA) for AF improves exercise capacity. However, the precise changes in daily activities after CA for AF remain unclear. The authors aimed to evaluate the changes in daily activities following CA for AF using a wristwatch-type pulse wave monitor (PWM), which tracks steps and exercise time, estimates burnt daily calories, and records sleep duration, in addition to establishing the rhythm diagnosis of AF or non-AF.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!