Development and external validation of predictive models for prevalent and recurrent atrial fibrillation: a protocol for the analysis of the CATCH ME combined dataset
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P. Kirchhof | U. Schotten | H. Crijns | J. Deeks | K. Hemming | B. Casadei | S. Kääb | A. Sitch | Moritz F. Sinner | L. Mont | E. Guasch | L. Fabritz | S. Hatem | W. Chua | C. Easter | D. Haase | S. Hatem | Jonathan J. Deeks | Stefan Kääb | Lluís Mont | Christina L. Easter | Alice Sitch | Barbara Casadei | Harry J. Crijns | K. Hemming | Jonathan J. Deeks | Paulus Kirchhof | Lluis Mont
[1] P. Kirchhof,et al. Data-driven discovery and validation of circulating blood-based biomarkers associated with prevalent atrial fibrillation , 2019, European heart journal.
[2] H. Marques,et al. Development and validation of a risk score for predicting atrial fibrillation recurrence after a first catheter ablation procedure - ATLAS score. , 2018, 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.
[3] I. V. Van Gelder,et al. Comparing biomarker profiles of patients with heart failure: atrial fibrillation vs. sinus rhythm and reduced vs. preserved ejection fraction , 2018, European heart journal.
[4] Jay A. Montgomery,et al. Multi-ethnic genome-wide association study for atrial fibrillation , 2018, Nature Genetics.
[5] Paulus Kirchhof,et al. The future of atrial fibrillation management: integrated care and stratified therapy , 2017, The Lancet.
[6] L. Mont,et al. Diagnosis, pathophysiology, and management of exercise-induced arrhythmias , 2017, Nature Reviews Cardiology.
[7] K. Clément,et al. Atrial natriuretic peptide regulates adipose tissue accumulation in adult atria , 2017, Proceedings of the National Academy of Sciences.
[8] Ulrich Schotten,et al. 2016 ESC Guidelines for the Management of Atrial Fibrillation Developed in Collaboration With EACTS. , 2017, Revista espanola de cardiologia.
[9] P. Kirchhof,et al. 2016 ESC Guidelines for the management of atrial fibrillation developed in collaboration with EACTS. , 2016, 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.
[10] A. Camm,et al. Updated European Heart Rhythm Association practical guide on the use of non-vitamin-K antagonist anticoagulants in patients with non-valvular atrial fibrillation: Executive summary , 2016, European heart journal.
[11] Parminder Raina,et al. Maelstrom Research guidelines for rigorous retrospective data harmonization , 2016, International journal of epidemiology.
[12] S. Yusuf,et al. The novel biomarker-based ABC (age, biomarkers, clinical history)-bleeding risk score for patients with atrial fibrillation: a derivation and validation study , 2016, The Lancet.
[13] H. Crijns,et al. Expert consensus document: Defining the major health modifiers causing atrial fibrillation: a roadmap to underpin personalized prevention and treatment , 2016, Nature Reviews Cardiology.
[14] Claes Held,et al. The ABC (age, biomarkers, clinical history) stroke risk score: a biomarker-based risk score for predicting stroke in atrial fibrillation , 2016, European heart journal.
[15] A. Camm,et al. XANTUS: a real-world, prospective, observational study of patients treated with rivaroxaban for stroke prevention in atrial fibrillation , 2015, European heart journal.
[16] Ewout W Steyerberg,et al. The number of subjects per variable required in linear regression analyses. , 2015, Journal of clinical epidemiology.
[17] Christopher X. Wong,et al. Long-Term Effect of Goal-Directed Weight Management in an Atrial Fibrillation Cohort: A Long-Term Follow-Up Study (LEGACY). , 2015, Journal of the American College of Cardiology.
[18] K. Clément,et al. Human epicardial adipose tissue induces fibrosis of the atrial myocardium through the secretion of adipo-fibrokines. , 2015, European heart journal.
[19] Tim Geach. Atrial fibrillation: FGF-23 associated with incident AF—a link with CKD? , 2014, Nature Reviews Cardiology.
[20] M. Zoni-Berisso,et al. Epidemiology of atrial fibrillation: European perspective , 2014, Clinical epidemiology.
[21] Stanley Nattel,et al. Early management of atrial fibrillation to prevent cardiovascular complications. , 2014, European heart journal.
[22] Jay A. Montgomery,et al. The APPLE score: a novel and simple score for the prediction of rhythm outcomes after catheter ablation of atrial fibrillation , 2014, Clinical Research in Cardiology.
[23] C. Murray,et al. Worldwide Epidemiology of Atrial Fibrillation: A Global Burden of Disease 2010 Study , 2014, Circulation.
[24] D. Atar,et al. High-sensitivity troponin T and risk stratification in patients with atrial fibrillation during treatment with apixaban or warfarin. , 2014, Journal of the American College of Cardiology.
[25] Matthieu Resche-Rigon,et al. Multiple imputation for handling systematically missing confounders in meta‐analysis of individual participant data , 2013, Statistics in medicine.
[26] D. Singer,et al. Estimates of current and future incidence and prevalence of atrial fibrillation in the U.S. adult population. , 2013, The American journal of cardiology.
[27] M. O'Neill,et al. Catheter ablation of atrial fibrillation in heart failure. , 2013, Heart failure clinics.
[28] Albert Hofman,et al. Projections on the number of individuals with atrial fibrillation in the European Union, from 2000 to 2060. , 2013, European heart journal.
[29] G. Breithardt,et al. Short-term versus long-term antiarrhythmic drug treatment after cardioversion of atrial fibrillation (Flec-SL): a prospective, randomised, open-label, blinded endpoint assessment trial , 2012, The Lancet.
[30] M. Baneshi,et al. Assessment of Internal Validity of Prognostic Models through Bootstrapping and Multiple Imputation of Missing Data , 2012, Iranian journal of public health.
[31] D. Fliser,et al. The phosphatonin fibroblast growth factor 23 links calcium-phosphate metabolism with left-ventricular dysfunction and atrial fibrillation. , 2011, European heart journal.
[32] Prashanthan Sanders,et al. Pericardial fat is associated with atrial fibrillation severity and ablation outcome. , 2011, Journal of the American College of Cardiology.
[33] Patrick Royston,et al. Multiple imputation using chained equations: Issues and guidance for practice , 2011, Statistics in medicine.
[34] Robby Nieuwlaat,et al. Progression from paroxysmal to persistent atrial fibrillation clinical correlates and prognosis. , 2010, Journal of the American College of Cardiology.
[35] S. Connolly,et al. Effect of dronedarone on cardiovascular events in atrial fibrillation. , 2009, The New England journal of medicine.
[36] B. Knight,et al. Approaches to catheter ablation of persistent atrial fibrillation. , 2009, Heart rhythm.
[37] Todd E. Bodner,et al. What Improves with Increased Missing Data Imputations? , 2008 .
[38] Patrick Royston,et al. How should variable selection be performed with multiply imputed data? , 2008, Statistics in medicine.
[39] David Tamborero,et al. Pre-procedural predictors of atrial fibrillation recurrence after circumferential pulmonary vein ablation. , 2007, European heart journal.
[40] Charles E McCulloch,et al. Relaxing the rule of ten events per variable in logistic and Cox regression. , 2007, American journal of epidemiology.
[41] A. Hofman,et al. Prevalence, incidence and lifetime risk of atrial fibrillation: the Rotterdam study. , 2006, European heart journal.
[42] G. Breithardt,et al. Targeted pharmacological reversal of electrical remodeling after cardioversion--rationale and design of the Flecainide Short-Long (Flec-SL) trial. , 2005, American heart journal.
[43] Prashanthan Sanders,et al. Catheter ablation for atrial fibrillation in congestive heart failure. , 2004, The New England journal of medicine.
[44] D. Levy,et al. Lifetime Risk for Development of Atrial Fibrillation: The Framingham Heart Study , 2004, Circulation.
[45] G. Baxter. The natriuretic peptides , 2004, Basic Research in Cardiology.
[46] Simon Stewart,et al. A population-based study of the long-term risks associated with atrial fibrillation: 20-year follow-up of the Renfrew/Paisley study. , 2002, The American journal of medicine.
[47] M. Rich,et al. Validation of clinical classification schemes for predicting stroke: results from the National Registry of Atrial Fibrillation. , 2001, JAMA.
[48] D. Singer,et al. Prevalence of diagnosed atrial fibrillation in adults: national implications for rhythm management and stroke prevention: the AnTicoagulation and Risk Factors in Atrial Fibrillation (ATRIA) Study. , 2001, JAMA.
[49] M. Enriquez-Sarano,et al. Natriuretic peptide levels in atrial fibrillation: a prospective hormonal and Doppler-echocardiographic study. , 2000, Journal of the American College of Cardiology.
[50] D. Levy,et al. Impact of atrial fibrillation on the risk of death: the Framingham Heart Study. , 1998, Circulation.
[51] J. Concato,et al. A simulation study of the number of events per variable in logistic regression analysis. , 1996, Journal of clinical epidemiology.
[52] F. Harrell,et al. Prognostic/Clinical Prediction Models: Multivariable Prognostic Models: Issues in Developing Models, Evaluating Assumptions and Adequacy, and Measuring and Reducing Errors , 2005 .
[53] M. Arakawa,et al. Alternations in atrial natriuretic peptide release after DC cardioversion of non-valvular chronic atrial fibrillation. , 1995, European heart journal.
[54] F A Mathewson,et al. The natural history of atrial fibrillation: incidence, risk factors, and prognosis in the Manitoba Follow-Up Study. , 1995, The American journal of medicine.
[55] P. Wolf,et al. Atrial fibrillation as an independent risk factor for stroke: the Framingham Study. , 1991, Stroke.
[56] S. Green. How Many Subjects Does It Take To Do A Regression Analysis. , 1991, Multivariate behavioral research.
[57] D. Altman,et al. Bootstrap investigation of the stability of a Cox regression model. , 1989, Statistics in medicine.
[58] A. Belanger,et al. The Framingham study. , 1976, British medical journal.
[59] P. Leprince,et al. Atrial fibrillation is associated with the fibrotic remodelling of adipose tissue in the subepicardium of human and sheep atria , 2017, European heart journal.
[60] P. Kirchhof,et al. Pathophysiological mechanisms of atrial fibrillation: a translational appraisal. , 2011, Physiological reviews.
[61] David O. Martin,et al. Pulmonary-vein isolation for atrial fibrillation in patients with heart failure. , 2008, The New England journal of medicine.
[62] D. Tamborero,et al. Physical activity, height, and left atrial size are independent risk factors for lone atrial fibrillation in middle-aged healthy individuals. , 2008, 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.
[63] Willi Sauerbrei,et al. The Use of Resampling Methods to Simplify Regression Models in Medical Statistics , 1999 .