Literature DB >> 17719332

Long-term prognostic value of p-wave characteristics for the development of atrial fibrillation in subjects aged 55 to 74 years at baseline.

Dirk De Bacquer1, Julie Willekens, Guy De Backer.   

Abstract

Atrial fibrillation (AF) is the most prevalent arrhythmia in the elderly, associated with high mortality and morbidity rates. Changes in electrocardiographic P waves were associated with AF in patient series, but the long-term prognostic value of P-wave characteristics in the development of AF was not shown. The aim was to evaluate P-wave duration and morphologic characteristics as potential independent risk markers for the long-term development of AF in the general population. A nested case-control design was adopted in subjects aged 55 to 74 years and apparently healthy at baseline. Baseline P-wave items of 40 patients who developed AF within the 10-year period were compared retrospectively with those of 120 matched controls. Broad maximum P waves (>/=120 ms) at baseline were observed in 70% of patients with AF and 41% of controls (p = 0.002). Maximum P-wave duration proved to be a significant risk marker independent of blood pressure, body mass index, and other electrocardiographic findings. However, this association seems overruled by the predictive value of morphologic changes defined as notched or deflected P waves (p = 0.0002). The joint occurrence of longer duration in combination with morphologic changes in the P wave proved a very important risk indicator for the development of AF over 10 years, with an adjusted odds ratio of 13.4 (95% confidence interval 3.3 to 46.6). In conclusion, enhanced clinical appreciation of P-wave items on the standard electrocardiogram at rest, preferably evaluated in all 12 leads, may help identify a group at high risk of the development of AF at an early stage.

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Year:  2007        PMID: 17719332     DOI: 10.1016/j.amjcard.2007.04.017

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


  15 in total

1.  P-wave morphologic characteristics predict cardiovascular events in a community-dwelling population.

Authors:  Tomoyuki Kabutoya; Shizukiyo Ishikawa; Joji Ishikawa; Satoshi Hoshide; Kazuomi Kario
Journal:  Ann Noninvasive Electrocardiol       Date:  2012-07       Impact factor: 1.468

2.  P-wave indices, distribution and quality control assessment (from the Framingham Heart Study).

Authors:  Jared W Magnani; Michael J Mazzini; Lisa M Sullivan; MaryAnn Williamson; Patrick T Ellinor; Emelia J Benjamin
Journal:  Ann Noninvasive Electrocardiol       Date:  2010-01       Impact factor: 1.468

Review 3.  Comprehensive risk reduction in patients with atrial fibrillation: emerging diagnostic and therapeutic options--a report from the 3rd Atrial Fibrillation Competence NETwork/European Heart Rhythm Association consensus conference.

Authors:  Paulus Kirchhof; Gregory Y H Lip; Isabelle C Van Gelder; Jeroen Bax; Elaine Hylek; Stefan Kaab; Ulrich Schotten; Karl Wegscheider; Giuseppe Boriani; Axel Brandes; Michael Ezekowitz; Hans Diener; Laurent Haegeli; Hein Heidbuchel; Deirdre Lane; Luis Mont; Stephan Willems; Paul Dorian; Maria Aunes-Jansson; Carina Blomstrom-Lundqvist; Maria Borentain; Stefanie Breitenstein; Martina Brueckmann; Nilo Cater; Andreas Clemens; Dobromir Dobrev; Sergio Dubner; Nils G Edvardsson; Leif Friberg; Andreas Goette; Michele Gulizia; Robert Hatala; Jenny Horwood; Lukas Szumowski; Lukas Kappenberger; Josef Kautzner; Angelika Leute; Trudie Lobban; Ralf Meyer; Jay Millerhagen; John Morgan; Felix Muenzel; Michael Nabauer; Christoph Baertels; Michael Oeff; Dieter Paar; Juergen Polifka; Ursula Ravens; Ludger Rosin; W Stegink; Gerhard Steinbeck; Panos Vardas; Alphons Vincent; Maureen Walter; Günter Breithardt; A John Camm
Journal:  Europace       Date:  2011-07-26       Impact factor: 5.214

4.  The P Wave Time-Frequency Variability Reflects Atrial Conduction Defects before Paroxysmal Atrial Fibrillation.

Authors:  Raúl Alcaraz; Arturo Martínez; José J Rieta
Journal:  Ann Noninvasive Electrocardiol       Date:  2014-11-23       Impact factor: 1.468

5.  The amplitude of fibrillatory waves on leads aVF and V1 predicting the recurrence of persistent atrial fibrillation patients who underwent catheter ablation.

Authors:  Zhongwei Cheng; Hua Deng; Kang'an Cheng; Taibo Chen; Peng Gao; Min Yu; Quan Fang
Journal:  Ann Noninvasive Electrocardiol       Date:  2013-01-20       Impact factor: 1.468

Review 6.  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

Review 7.  P wave indices: current status and future directions in epidemiology, clinical, and research applications.

Authors:  Jared W Magnani; Mary Ann Williamson; Patrick T Ellinor; Kevin M Monahan; Emelia J Benjamin
Journal:  Circ Arrhythm Electrophysiol       Date:  2009-02

8.  European Heart Rhythm Association (EHRA)/Heart Rhythm Society (HRS)/Asia Pacific Heart Rhythm Society (APHRS)/Latin American Heart Rhythm Society (LAHRS) expert consensus on risk assessment in cardiac arrhythmias: use the right tool for the right outcome, in the right population.

Authors:  Jens Cosedis Nielsen; Yenn-Jiang Lin; Marcio Jansen de Oliveira Figueiredo; Alireza Sepehri Shamloo; Alberto Alfie; Serge Boveda; Nikolaos Dagres; Dario Di Toro; Lee L Eckhardt; Kenneth Ellenbogen; Carina Hardy; Takanori Ikeda; Aparna Jaswal; Elizabeth Kaufman; Andrew Krahn; Kengo Kusano; Valentina Kutyifa; Han S Lim; Gregory Y H Lip; Santiago Nava-Townsend; Hui-Nam Pak; Gerardo Rodríguez Diez; William Sauer; Anil Saxena; Jesper Hastrup Svendsen; Diego Vanegas; Marmar Vaseghi; Arthur Wilde; T Jared Bunch; Alfred E Buxton; Gonzalo Calvimontes; Tze-Fan Chao; Lars Eckardt; Heidi Estner; Anne M Gillis; Rodrigo Isa; Josef Kautzner; Philippe Maury; Joshua D Moss; Gi-Byung Nam; Brian Olshansky; Luis Fernando Pava Molano; Mauricio Pimentel; Mukund Prabhu; Wendy S Tzou; Philipp Sommer; Janice Swampillai; Alejandro Vidal; Thomas Deneke; Gerhard Hindricks; Christophe Leclercq
Journal:  Europace       Date:  2020-08-01       Impact factor: 5.214

9.  P-wave dispersion for predicting paroxysmal atrial fibrillation in acute ischemic stroke.

Authors:  Umuttan Dogan; Ebru Apaydin Dogan; Mehmet Tekinalp; Osman Serhat Tokgoz; Alpay Aribas; Hakan Akilli; Kurtulus Ozdemir; Hasan Gok; Betigul Yuruten
Journal:  Int J Med Sci       Date:  2011-12-17       Impact factor: 3.738

10.  P Wave Duration/P Wave Voltage Ratio Plays a Promising Role in the Prediction of Atrial Fibrillation: A New Player in the Game.

Authors:  E Karacop; A Enhos; N Bakhshaliyev; R Ozdemir
Journal:  Cardiol Res Pract       Date:  2021-05-29       Impact factor: 1.866

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