ArticleEuropean heart journal2013
Novel genetic markers improve measures of atrial fibrillation risk prediction.
Article in European heart journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 7 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
77 citing papers in PubMed, 7 syntheses or guidelines pooled it, 140 citations in OpenAlex.
- Utility of risk prediction models to detect atrial fibrillation in screened participants.European journal of preventive cardiology · 2021Pooled it
- Prediction models for atrial fibrillation applicable in the community: a systematic review and meta-analysis.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2020Pooled it
- 2017 HRS/EHRA/ECAS/APHRS/SOLAECE expert consensus statement on catheter and surgical ablation of atrial fibrillation.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2018Guideline
- European Heart Rhythm Association (EHRA)/European Association of Cardiovascular Prevention and Rehabilitation (EACPR) position paper on how to prevent atrial fibrillation endorsed by the Heart Rhythm Society (HRS) and Asia Pacific Heart Rhythm Society (APHRS).Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2017Guideline
- European Heart Rhythm Association (EHRA)/European Association of Cardiovascular Prevention and Rehabilitation (EACPR) position paper on how to prevent atrial fibrillation endorsed by the Heart Rhythm Society (HRS) and Asia Pacific Heart Rhythm Society (APHRS).European journal of preventive cardiology · 2017Guideline
- Guideline
- Guideline
- Predictive Accuracy of a Clinical and Genetic Risk Model for Atrial Fibrillation.Circulation. Genomic and precision medicine · 2021Trial
- Validation of a genetic risk score for atrial fibrillation: A prospective multicenter cohort study.PLoS medicine · 2018Trial
- Interaction between clinical and genetic risk of atrial fibrillation in the danish diet, cancer and health cohort.Open heart · 2026Article
- Associations of metabolic status with all-cause mortality among individuals with osteoarthritis: A prospective cohort study.Journal of orthopaedic translation · 2025Article
- 2025 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association.Circulation · 2025Review
- The mCJACC. Advances · 2025Article
- Risk Analysis of Atrial Fibrillation Based on ECG Phenotypes: The RAF-ECP Study Protocol.Phenomics (Cham, Switzerland) · 2024Article
- Precise risk-prediction model including arterial stiffness for new-onset atrial fibrillation using machine learning techniques.Journal of clinical hypertension (Greenwich, Conn.) · 2024Article
- 2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association.Circulation · 2024Review
- Construction and validation of a risk prediction model for 3- and 5-year new-onset atrial fibrillation in HFpEF patients.Frontiers in cardiovascular medicine · 2024Article
- Clinical and Genetic Atrial Fibrillation Risk and Discrimination of Cardioembolic From Noncardioembolic Stroke.Stroke · 2023Article
- The Use of Artificial Intelligence to Predict the Development of Atrial Fibrillation.Current cardiology reports · 2023Review
- Heart Disease and Stroke Statistics-2023 Update: A Report From the American Heart Association.Circulation · 2023Review
17 more citing papers are in PubMed but not listed here.
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
Abstract
aimsAtrial fibrillation (AF) is associated with adverse outcome. Whether recently discovered genetic risk markers improve AF risk prediction is unknown. METHODS AND
resultsWe derived and validated a novel AF risk prediction model from 32 possible predictors in the Women's Health Study (WHS), a cohort of 20 822 women without cardiovascular disease (CVD) at baseline followed prospectively for incident AF (median: 14.5 years). We then created a genetic risk score (GRS) comprised of 12 risk alleles in nine loci and assessed model performance in the validation cohort with and without the GRS. The newly derived WHS AF risk algorithm included terms for age, weight, height, systolic blood pressure, alcohol use, and smoking (current and past). In the validation cohort, this model was well calibrated with good discrimination [C-index (95% CI) = 0.718 (0.684-0.753)] and improved all reclassification indices when compared with age alone. The addition of the genetic score to the WHS AF risk algorithm model improved the C-index [0.741 (0.709-0.774); P = 0.001], the category-less net reclassification [0.490 (0.301-0.670); P < 0.0001], and the integrated discrimination improvement [0.00526 (0.0033-0.0076); P < 0.0001]. However, there was no improvement in net reclassification into 10-year risk categories of <1, 1-5, and 5+% [0.041 (-0.044-0.12); P = 0.33].
conclusionAmong women without CVD, a simple risk prediction model utilizing readily available risk markers identified women at higher risk for AF. The addition of genetic information resulted in modest improvements in predictive accuracy that did not translate into improved reclassification into discrete AF risk categories.
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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.