Literature DB >> 12687847

P wave analysis indices in young healthy men: data from the digital electrocardiographic study in Hellenic Air Force Servicemen (DEHAS).

Elias J Gialafos1, Polychronis E Dilaveris, Andreas G Synetos, George F Tsolakidis, Theodoros G Papaioannou, George K Andrikopoulos, Dimitris J Richter, Filippos Triposkiadis, John E Gialafos.   

Abstract

P wave analysis from the 12-lead ECG is a recent contribution of noninvasive electrocardiology. P wave analysis indices (maximum and minimum P wave duration, P wave dispersion [Pdis = Pmax-Pmin], adjusted P wave dispersion [APdis = Pdis/square root of measured leads], summated P wave duration [Psum], standard deviation of P wave duration [Psd], mean P wave duration [Pmean]) can predict atrial arrhythmias. However, the definitions of all these indices are based on few studies. The aim of this analysis was to define normal values of these indices and the examine possible associations between P wave indices and clinical variables. The study included 1,353 healthy men, 24 +/- 3 years of age, who answered a questionnaire and underwent a detailed physical examination and a digitized 12-lead surface ECG. All P wave indices were analyzed by two independent investigators. Mean values of the ECG indices were: Pmax: 96 +/- 11 ms, Pmin: 57 +/- 9 ms, Pdis: 38 +/- 10 ms, Psum: 924 +/- 96 ms, Psd: 12 +/- 3, APdis: 11 +/- 3 ms, and Pmean: 77 +/- 8 ms. Age was significantly related with Pmax (r = 0.277, P < 0.01), Pmin (r = 0.255, P < 0.001), Psum (r = 0.074, P < 0.01), and Pmean (r = 0.074, P < 0.01). All ECG indices were significantly associated with the R-R interval, and among each other. This study defined normal indices of wave duration and correlations among them. These markers may play an important predictive role in patients with atrial conduction abnormalities.

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Year:  2003        PMID: 12687847     DOI: 10.1046/j.1460-9592.2003.00051.x

Source DB:  PubMed          Journal:  Pacing Clin Electrophysiol        ISSN: 0147-8389            Impact factor:   1.976


  8 in total

1.  Meta-analysis of p-wave dispersion values in healthy individuals: the influence of clinical characteristics.

Authors:  Udi Nussinovitch
Journal:  Ann Noninvasive Electrocardiol       Date:  2012-01       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

3.  Prevalence of interatrial block in healthy school-aged children: definition by P-wave duration or morphological analysis.

Authors:  Polychronis Dilaveris; Leonidas Raftopoulos; Georgios Giannopoulos; Stylianos Katinakis; Dimitrios Maragiannis; Dimitrios Roussos; Konstantinos Gatzoulis; Andreas Michaelides; Christodoulos Stefanadis
Journal:  Ann Noninvasive Electrocardiol       Date:  2010-01       Impact factor: 1.468

4.  P-wave indices: derivation of reference values from the Framingham Heart Study.

Authors:  Jared W Magnani; Victor M Johnson; Lisa M Sullivan; Steven A Lubitz; Renate B Schnabel; Patrick T Ellinor; Emelia J Benjamin
Journal:  Ann Noninvasive Electrocardiol       Date:  2010-10       Impact factor: 1.468

5.  The effects of iron deficiency anemia on p wave duration and dispersion.

Authors:  Hakki Simsek; Yilmaz Gunes; Cengiz Demir; Musa Sahin; Hasan Ali Gumrukcuoglu; Mustafa Tuncer
Journal:  Clinics (Sao Paulo)       Date:  2010       Impact factor: 2.365

Review 6.  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

7.  P-wave duration and dispersion in patients with peripheral edema and its amelioration.

Authors:  John E Madias
Journal:  Indian Pacing Electrophysiol J       Date:  2007-01-01

8.  Age-related changes in P wave morphology in healthy subjects.

Authors:  Rasmus Havmoller; Jonas Carlson; Fredrik Holmqvist; Alberto Herreros; Carl J Meurling; Bertil Olsson; Pyotr Platonov
Journal:  BMC Cardiovasc Disord       Date:  2007-07-27       Impact factor: 2.298

  8 in total

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