ArticleCurrent cardiology reviews2023
CHARGE-AF: A Useful Score For Atrial Fibrillation Prediction?
Article in Current cardiology reviews, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 24 citations in OpenAlex.
- Artificial Intelligence-Enabled Electrocardiography Model for Left Ventricular Systolic and Diastolic Dysfunction Predict Incident Atrial Fibrillation in Patients with Sinus Rhythm: A Time-Dependent Analysis.Diagnostics (Basel, Switzerland) · 2026Article
- The association between self-rated health and risk of atrial fibrillation: a northern Sweden cohort study.Preventive medicine reports · 2026Article
- Multi-trait polygenic risk scores improve genomic prediction of atrial fibrillation across diverse ancestries.Nature communications · 2026Article
- Article
- Application of Artificial Intelligence in the Early Detection and Management of Atrial Fibrillation: State-of-the-art Review.European cardiology · 2026Review
- Enhanced Atrial Fibrillation Prediction in ESUS Patients with Hypergraph-based Pre-training.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2026Article
- Artificial intelligence-enabled sinus electrocardiograms for the detection of paroxysmal atrial fibrillation benchmarked against the CHARGE-AF score.European heart journal. Digital health · 2025Article
- The predictive power of left atrial reservoir strain for long-term atrial fibrillation in the Atherosclerosis Risk in Communities study.Heart rhythm · 2025Article
- Multi-trait polygenic risk scores improve genomic prediction of atrial fibrillation across diverse ancestries.Research square · 2025Article
- Association of life's essential 8 score with incidence of atrial fibrillation: The Framingham heart study.American journal of preventive cardiology · 2025Article
- Evidence Gaps and Lessons in the Early Detection of Atrial Fibrillation: A Prospective Study in a Primary Care Setting (PREFATE Study).Biomedicines · 2025Article
- Echocardiographic assessment of atrial, ventricular, and valvular function in patients with atrial fibrillation-an expert proposal by the german working group of cardiovascular ultrasound.Clinical research in cardiology : official journal of the German Cardiac Society · 2025Review
- Towards improved detection of subclinical atrial fibrillation - Who could benefit from targeted screening?International journal of cardiology. Heart & vasculature · 2024Article
- Article
- The Use of Artificial Intelligence to Predict the Development of Atrial Fibrillation.Current cardiology reports · 2023Review
- AI-enabled left atrial volumetry in coronary artery calcium scans (AI-CACJournal of cardiovascular computed tomographyArticle
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Atrial fibrillation (AF) is the commonest arrhythmia in clinical practice and is associated with increased morbidity and mortality. Various predictive scores for new-onset AF have been proposed, but so far, none have been widely used in clinical practice. CHARGE-AF score was developed from a pooled diverse population from three large cohorts (Atherosclerosis Risk in Communities study, Cardiovascular Health Study and Framingham Heart Study). A simple 5-year predictive model includes the variables of age, race, height, weight, systolic and diastolic blood pressure, current smoking, use of antihypertensive medication, diabetes mellitus, history of myocardial infarction and heart failure. Recent studies report that the CHARGE-AF score has good discrimination for incident AF and seems to be a promising prediction model for this arrhythmia. New screening tools (smartphone apps, smartwatches) are rapidly developing for AF detection. Therefore, the wide application of the CHARGE-AF score in clinical practice and the upcoming usage of mobile health technologies and smartwatches may result in better AF prediction and adequate stroke prevention, especially in high-risk patients.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.