Screening for atrial fibrillation: a European heart rhythm association (EHRA) consensus document endorsed by the heart rhythm Society (HRS), Asia Pacific heart …

GH Mairesse, P Moran, IC Van Gelder, C Elsner… - Ep …, 2017 - academic.oup.com
Atrial fibrillation (AF) is the most common cardiac arrhythmia, occurring in 1–2% of the
general population. Its prevalence varies between continents and ethnicity, but the …

Atrial fibrillation and stroke

SE Choi, D Sagris, A Hill, GYH Lip… - Expert Review of …, 2023 - Taylor & Francis
Introduction Stroke is one of the leading causes of mortality and morbidity globally. Atrial
fibrillation (AF) is the most common sustained cardiac arrhythmia. It is set to reach epidemic …

Diabetes mellitus, blood glucose and the risk of atrial fibrillation: a systematic review and meta-analysis of cohort studies

D Aune, T Feng, S Schlesinger, I Janszky… - Journal of Diabetes and …, 2018 - Elsevier
Background Diabetes and elevated blood glucose have been associated with increased risk
of atrial fibrillation in a number of epidemiological studies, however, the findings have not …

Relationship between lipoproteins, thrombosis, and atrial fibrillation

WY Ding, MB Protty, IG Davies… - Cardiovascular …, 2022 - academic.oup.com
The prothrombotic state in atrial fibrillation (AF) occurs as a result of multifaceted
interactions, known as Virchow's triad of hypercoagulability, structural abnormalities, and …

Obesity, exercise, obstructive sleep apnea, and modifiable atherosclerotic cardiovascular disease risk factors in atrial fibrillation

JD Miller, KN Aronis, J Chrispin, KD Patil… - Journal of the American …, 2015 - jacc.org
Classically, the 3 pillars of atrial fibrillation (AF) management have included anticoagulation
for prevention of thromboembolism, rhythm control, and rate control. In both prevention and …

Prediction models for atrial fibrillation applicable in the community: a systematic review and meta-analysis

JCL Himmelreich, L Veelers, WAM Lucassen… - EP …, 2020 - academic.oup.com
Aims Atrial fibrillation (AF) is a common arrhythmia associated with an increased stroke risk.
The use of multivariable prediction models could result in more efficient primary AF …

A clinical score for predicting atrial fibrillation in patients with cryptogenic stroke or transient ischemic attack

C Kwong, AY Ling, MH Crawford, SX Zhao, NH Shah - Cardiology, 2017 - karger.com
Objectives: Detection of atrial fibrillation (AF) in post-cryptogenic stroke (CS) or transient
ischemic attack (TIA) patients carries important therapeutic implications. Methods: To risk …

A comparison of the CHARGE–AF and the CHA2DS2-VASc risk scores for prediction of atrial fibrillation in the Framingham Heart Study

IE Christophersen, X Yin, MG Larson, SA Lubitz… - American heart …, 2016 - Elsevier
Background Atrial fibrillation (AF) affects more than 33 million individuals worldwide and
increases risks of stroke, heart failure, and death. The CHARGE-AF risk score was …

Effectiveness of screening for atrial fibrillation and its determinants. A meta-analysis

P Petryszyn, P Niewinski, A Staniak, P Piotrowski… - PLoS …, 2019 - journals.plos.org
Background Many atrial fibrillation patients eligible for oral anticoagulants are unaware of
the presence of AF, and improved detection is necessary to facilitate thromboprophylaxis …

Predicting determinants of atrial fibrillation or flutter for therapy elucidation in patients at risk for thromboembolic events (PREDATE AF) study

JM Nasir, W Pomeroy, A Marler, M Hann, T Baykaner… - Heart Rhythm, 2017 - Elsevier
Background Atrial fibrillation (AF) is the most common clinically significant cardiac rhythm
disorder. There is considerable interest in screening for AF, as it is a leading cause of stroke …