Literature DB >> 27889043

PR-Interval Components and Atrial Fibrillation Risk (from the Atherosclerosis Risk in Communities Study).

Justin W Smith1, Wesley T O'Neal2, M Benjamin Shoemaker3, Lin Y Chen4, Alvaro Alonso5, S Patrick Whalen1, Elsayed Z Soliman6.   

Abstract

Reports on the association between the PR-interval and atrial fibrillation (AF) are conflicting. We hypothesized that inconsistencies stem from that fact that the PR-interval represents a composite of several distinct components. We examined the associations of the PR-interval and its components (P-wave onset to P-wave peak duration, P-wave peak to P-wave end duration, and PR-segment) with incident AF in 14,924 participants (mean age 54 ± 5.8 years; 26% black; 55% women) from the Atherosclerosis Risk In Communities study. The PR-interval and its components were automatically measured at baseline (1987 to 1989) from standard 12-lead electrocardiograms. PR-interval >200 ms was considered prolonged and values above the ninety-fifth percentile defined abnormal PR-interval components. AF was ascertained during follow-up through December 31, 2010. Over a median follow-up of 21.2 years, 1,985 participants (13%) developed AF. Prolonged PR-interval was associated with an increased risk of AF (hazard ratio [HR] 1.19, 95% confidence interval [CI] 1.02 to 1.40). However, PR-interval components showed varying levels of association with AF (P-wave onset to P-wave peak duration: HR 1.57, 95% CI 1.31 to 1.88; P-wave peak to P-wave end duration: HR 1.20, 95% CI 0.99 to 1.46; and PR-segment: HR 1.05, 95% CI 0.85 to 1.29). In addition, the components of the PR-interval had weak-to-moderate correlation with each other (correlation r ranged from -0.44 to 0.06). In conclusion, our findings suggest the PR-interval represents a composite of distinct components that are not uniformly associated with AF. Without considering the contribution of each component, inconsistent associations between the PR-interval and AF are inevitable.
Copyright © 2016 Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 27889043      PMCID: PMC5531862          DOI: 10.1016/j.amjcard.2016.10.016

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  15 in total

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Authors:  Renate B Schnabel; Thor Aspelund; Guo Li; Lisa M Sullivan; Astrid Suchy-Dicey; Tamara B Harris; Michael J Pencina; Ralph B D'Agostino; Daniel Levy; William B Kannel; Thomas J Wang; Richard A Kronmal; Philip A Wolf; Gregory L Burke; Lenore J Launer; Ramachandran S Vasan; Bruce M Psaty; Emelia J Benjamin; Vilmundur Gudnason; Susan R Heckbert
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Journal:  Circulation       Date:  1963-05       Impact factor: 29.690

3.  Quantile regression and restricted cubic splines are useful for exploring relationships between continuous variables.

Authors:  Ruth Ann Marrie; Neal V Dawson; Allan Garland
Journal:  J Clin Epidemiol       Date:  2009-01-09       Impact factor: 6.437

4.  A cohort study examination of established and emerging risk factors for atrial fibrillation: the Busselton Health Study.

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Journal:  Eur J Epidemiol       Date:  2014-01-04       Impact factor: 8.082

Review 5.  Intra- and interatrial conduction delay: implications for cardiac pacing.

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6.  Ethnic distribution of ECG predictors of atrial fibrillation and its impact on understanding the ethnic distribution of ischemic stroke in the Atherosclerosis Risk in Communities (ARIC) study.

Authors:  Elsayed Z Soliman; Ronald J Prineas; L Douglas Case; Zhu-ming Zhang; David C Goff
Journal:  Stroke       Date:  2009-02-12       Impact factor: 7.914

7.  Heart failure incidence and survival (from the Atherosclerosis Risk in Communities study).

Authors:  Laura R Loehr; Wayne D Rosamond; Patricia P Chang; Aaron R Folsom; Lloyd E Chambless
Journal:  Am J Cardiol       Date:  2008-02-14       Impact factor: 2.778

8.  Development of a risk score for atrial fibrillation (Framingham Heart Study): a community-based cohort study.

Authors:  Renate B Schnabel; Lisa M Sullivan; Daniel Levy; Michael J Pencina; Joseph M Massaro; Ralph B D'Agostino; Christopher Newton-Cheh; Jennifer F Yamamoto; Jared W Magnani; Thomas M Tadros; William B Kannel; Thomas J Wang; Patrick T Ellinor; Philip A Wolf; Ramachandran S Vasan; Emelia J Benjamin
Journal:  Lancet       Date:  2009-02-28       Impact factor: 79.321

9.  Incidence of atrial fibrillation in whites and African-Americans: the Atherosclerosis Risk in Communities (ARIC) study.

Authors:  Alvaro Alonso; Sunil K Agarwal; Elsayed Z Soliman; Marietta Ambrose; Alanna M Chamberlain; Ronald J Prineas; Aaron R Folsom
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Authors:  Alvaro Alonso; Bouwe P Krijthe; Thor Aspelund; Katherine A Stepas; Michael J Pencina; Carlee B Moser; Moritz F Sinner; Nona Sotoodehnia; João D Fontes; A Cecile J W Janssens; Richard A Kronmal; Jared W Magnani; Jacqueline C Witteman; Alanna M Chamberlain; Steven A Lubitz; Renate B Schnabel; Sunil K Agarwal; David D McManus; Patrick T Ellinor; Martin G Larson; Gregory L Burke; Lenore J Launer; Albert Hofman; Daniel Levy; John S Gottdiener; Stefan Kääb; David Couper; Tamara B Harris; Elsayed Z Soliman; Bruno H C Stricker; Vilmundur Gudnason; Susan R Heckbert; Emelia J Benjamin
Journal:  J Am Heart Assoc       Date:  2013-03-18       Impact factor: 5.501

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  9 in total

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2.  Geographical distribution of the P-R interval reference value of Chinese healthy adults.

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Review 4.  P Wave Parameters and Indices: A Critical Appraisal of Clinical Utility, Challenges, and Future Research-A Consensus Document Endorsed by the International Society of Electrocardiology and the International Society for Holter and Noninvasive Electrocardiology.

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5.  Splitting the P-Wave: Improved Evaluation of Left Atrial Substrate Modification after Pulmonary Vein Isolation of Paroxysmal Atrial Fibrillation.

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6.  Neurologist-Led Management of Implantable Loop-Recorders After Embolic Stroke of Undetermined Source.

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7.  PR interval duration is associated with the presence of white matter hyperintensities: Insights from the epidemiologic LIFE-Adult Study.

Authors:  Jelena Kornej; Katrin Friedrich; Matthias L Schroeter; A Veronica Witte; Maryna Polyakova; Arno Villringer; Markus Löffler; Samira Zeynalova
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8.  Clinical and electrophysiological predictors of device-detected new-onset atrial fibrillation during 3 years after cardiac surgery.

Authors:  Elham Bidar; Stef Zeemering; Martijn Gilbers; Aaron Isaacs; Sander Verheule; Matthias D Zink; Bart Maesen; Sander Bramer; Michal Kawczynski; Isabelle C Van Gelder; Harry J G M Crijns; Jos G Maessen; Ulrich Schotten
Journal:  Europace       Date:  2021-12-07       Impact factor: 5.486

9.  Electrocardiographic predictors of early recurrence of atrial fibrillation.

Authors:  Ji-Hoon Choi; Hee-Jin Kwon; Hye Ree Kim; Seung-Jung Park; June Soo Kim; Young Keun On; Kyoung-Min Park
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  9 in total

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