Literature DB >> 23608590

Risk of atrial fibrillation as a function of the electrocardiographic PR interval: results from the Copenhagen ECG Study.

Jonas Bille Nielsen1, Adrian Pietersen, Claus Graff, Bent Lind, Johannes Jan Struijk, Morten Salling Olesen, Stig Haunsø, Thomas Aalexander Gerds, Patrick Thomas Ellinor, Lars Køber, Jesper Hastrup Svendsen, Anders Gaarsdal Holst.   

Abstract

BACKGROUND: Prolongation of the PR interval has been associated with an increased risk of incident atrial fibrillation (AF).
OBJECTIVE: To determine if there was a nonlinear relation between PR interval duration and the risk of AF.
METHODS: We included 288,181 individuals, corresponding to one third of the population in the greater region of Copenhagen. These individuals had a digital electrocardiogram (ECG) recorded in a general practitioner's core facility from 2001 to 2010. Data on drug use, comorbidity, and outcomes were collected from Danish registries.
RESULTS: During a median follow-up period of 5.7 years, 11,087 developed AF. Having a PR interval ≥95th percentile (≥196 ms for women, ≥204 ms for men) was associated with an increased risk of AF as evidenced by a multivariable-adjusted hazard ratio (HR) of 1.18 (95% confidence interval [CI] 1.06-1.30, P = .001) for women and 1.30 (1.17-1.44, P < .001) for men compared with the respective reference groups (PR interval between 40th and 60th percentile). Having a short PR interval <5th percentile (≤121 ms for women, ≤129 ms for men) was also associated with an increased risk of AF for women (HR 1.32, 95% CI 1.12-1.56, P = .001), but this was not significant for men (HR 1.09, 95% CI 0.92-1.29, P = .33).
CONCLUSION: In this large ECG study, we found an increased risk of AF for longer PR intervals for both women and men. With respect to short PR intervals, we also observed an increased risk of AF for women.
Copyright © 2013 Heart Rhythm Society. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  AF; AV; Atrial fibrillation; BMI; CGPL; CI; Copenhagen General Practitioners’ Laboratory; ECG; Electrocardiography; Gender differences; General population; HR; IQR; Marquette 12SL validation; PR interval; WPW; Wolff-Parkinson-White; atrial fibrillation; atrioventricular; body mass index; confidence interval; electrocardiogram; hazard ratio; interquartile range

Mesh:

Year:  2013        PMID: 23608590     DOI: 10.1016/j.hrthm.2013.04.012

Source DB:  PubMed          Journal:  Heart Rhythm        ISSN: 1547-5271            Impact factor:   6.343


  38 in total

1.  The clinical utility of normal findings on noninvasive cardiac assessment in the prediction of atrial fibrillation.

Authors:  Sanjay Venkatesh; Wesley T O'Neal; Stephen T Broughton; Amit J Shah; Elsayed Z Soliman
Journal:  Clin Cardiol       Date:  2017-02-13       Impact factor: 2.882

2.  Genetic variants on chromosomes 7p31 and 12p12 are associated with abnormal atrial electrical activation in patients with early-onset lone atrial fibrillation.

Authors:  Mariam B Seifert; Morten S Olesen; Ingrid E Christophersen; Jonas B Nielsen; Jonas Carlson; Fredrik Holmqvist; Arnljot Tveit; Stig Haunsø; Jesper H Svendsen; Pyotr G Platonov
Journal:  Ann Noninvasive Electrocardiol       Date:  2019-06-01       Impact factor: 1.468

Review 3.  Atrial fibrillation in women: epidemiology, pathophysiology, presentation, and prognosis.

Authors:  Darae Ko; Faisal Rahman; Renate B Schnabel; Xiaoyan Yin; Emelia J Benjamin; Ingrid E Christophersen
Journal:  Nat Rev Cardiol       Date:  2016-04-07       Impact factor: 32.419

Review 4.  Gender Differences in Arrhythmias: Focused on Atrial Fibrillation.

Authors:  Xiao-Ting Tian; Ying-Jia Xu; Yi-Qing Yang
Journal:  J Cardiovasc Transl Res       Date:  2019-10-21       Impact factor: 4.132

5.  Artificial Intelligence-Electrocardiography to Predict Incident Atrial Fibrillation: A Population-Based Study.

Authors:  Georgios Christopoulos; Jonathan Graff-Radford; Camden L Lopez; Xiaoxi Yao; Zachi I Attia; Alejandro A Rabinstein; Ronald C Petersen; David S Knopman; Michelle M Mielke; Walter Kremers; Prashanthi Vemuri; Konstantinos C Siontis; Paul A Friedman; Peter A Noseworthy
Journal:  Circ Arrhythm Electrophysiol       Date:  2020-11-13

Review 6.  Role of PR-Interval In Predicting the Occurrence of Atrial Fibrillation.

Authors:  Signe Bidstrup; Morten Salling Olesen; Jesper Hastrup Svendsen; Jonas Bille Nielsen
Journal:  J Atr Fibrillation       Date:  2013-12-31

7.  Association of vitamin D deficiency with electrocardiographic markers of left atrial abnormalities.

Authors:  Muhammad Ali Anees; Muhammad Imtiaz Ahmad; Parag A Chevli; Yabing Li; Elsayed Z Soliman
Journal:  Ann Noninvasive Electrocardiol       Date:  2019-01-19       Impact factor: 1.468

8.  Predictors for atrial fibrillation detection after cryptogenic stroke: Results from CRYSTAL AF.

Authors:  Vincent N Thijs; Johannes Brachmann; Carlos A Morillo; Rod S Passman; Tommaso Sanna; Richard A Bernstein; Hans-Christoph Diener; Vincenzo Di Lazzaro; Marilyn M Rymer; Laurence Hogge; Tyson B Rogers; Paul D Ziegler; Manish D Assar
Journal:  Neurology       Date:  2015-12-18       Impact factor: 9.910

9.  Common and rare variants in SCN10A modulate the risk of atrial fibrillation.

Authors:  Javad Jabbari; Morten S Olesen; Lei Yuan; Jonas B Nielsen; Bo Liang; Vincenzo Macri; Ingrid E Christophersen; Nikolaj Nielsen; Ahmad Sajadieh; Patrick T Ellinor; Morten Grunnet; Stig Haunsø; Anders G Holst; Jesper H Svendsen; Thomas Jespersen
Journal:  Circ Cardiovasc Genet       Date:  2015-02

Review 10.  Electrocardiogram (ECG) for the Prediction of Incident Atrial Fibrillation: An Overview.

Authors:  Yoshifusa Aizawa; Hiroshi Watanabe; Ken Okumura
Journal:  J Atr Fibrillation       Date:  2017-12-31
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