Literature DB >> 35333097

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.

Lin Yee Chen1, Antonio Luiz Pinho Ribeiro2, Pyotr G Platonov3, Iwona Cygankiewicz4, Elsayed Z Soliman5,6, Bulent Gorenek7, Takanori Ikeda8, Vassilios P Vassilikos9, Jonathan S Steinberg10, Niraj Varma11, Antoni Bayés-de-Luna12, Adrian Baranchuk13.   

Abstract

Atrial cardiomyopathy, characterized by abnormalities in atrial structure and function, is associated with increased risk of adverse cardiovascular and neurocognitive outcomes, independent of atrial fibrillation. There exists a critical unmet need for a clinical tool that is cost-effective, easy to use, and that can diagnose atrial cardiomyopathy. P wave parameters (PWPs) reflect underlying atrial structure, size, and electrical activation; alterations in these factors manifest as abnormalities in PWPs that can be readily ascertained from a standard 12-lead ECG and potentially be used to aid clinical decision-making. PWPs include P wave duration, interatrial block, P wave terminal force in V1, P wave axis, P wave voltage, P wave area, and P wave dispersion. PWPs can be combined to yield an index (P wave index), such as the morphology-voltage-P-wave duration ECG risk score. Abnormal PWPs have been shown in population-based cohort studies to be independently associated with higher risks of atrial fibrillation, ischemic stroke, sudden cardiac death, and dementia. Additionally, PWPs, either individually or in combination (as a P wave index), have been reported to enhance prediction of atrial fibrillation or ischemic stroke. To facilitate translation of PWPs to routine clinical practice, additional work is needed to standardize measurement of PWPs (eg, via semiautomated or automated measurement), confirm their reliability and predictive value, leverage novel approaches (eg, wavelet analysis of P waves and machine learning algorithms), and finally, define the risk-benefit ratio of specific interventions in high-risk individuals. Our ultimate goal is to repurpose the ubiquitous 12-lead ECG to advance the study, diagnosis, and treatment of atrial cardiomyopathy, thus overcoming critical challenges in prevention of cardiovascular disease and dementia.

Entities:  

Keywords:  atrial fibrillation; cardiomyopathy; cardiovascular disease; interatrial block; ischemic stroke

Mesh:

Year:  2022        PMID: 35333097      PMCID: PMC9070127          DOI: 10.1161/CIRCEP.121.010435

Source DB:  PubMed          Journal:  Circ Arrhythm Electrophysiol        ISSN: 1941-3084


  97 in total

1.  EACVI/EHRA Expert Consensus Document on the role of multi-modality imaging for the evaluation of patients with atrial fibrillation.

Authors:  Erwan Donal; Gregory Y H Lip; Maurizio Galderisi; Andreas Goette; Dipen Shah; Mohamed Marwan; Mathieu Lederlin; Sergio Mondillo; Thor Edvardsen; Marta Sitges; Julia Grapsa; Madalina Garbi; Roxy Senior; Alessia Gimelli; Tatjana S Potpara; Isabelle C Van Gelder; Bulent Gorenek; Philippe Mabo; Patrizio Lancellotti; Karl-Heinz Kuck; Bogdan A Popescu; Gerhard Hindricks; Gilbert Habib; Nuno M Cardim; Bernard Cosyns; Victoria Delgado; Kristina H Haugaa; Denisa Muraru; Koen Nieman; Giuseppe Boriani; Ariel Cohen
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2016-02-09       Impact factor: 6.875

2.  Advanced interatrial block: An electrocardiographic marker for stroke recurrence.

Authors:  Camila S García-Talavera; Álvaro Aceña; Alberto Andrés López; María Araceli García Torres; Laura Olivié García; Elena de la Cruz Berlanga; María de Los Reyes Oliva Encabo; Juan Franco-Peláez; José Tuñón; José Manuel Rubio
Journal:  J Electrocardiol       Date:  2019-07-08       Impact factor: 1.438

3.  Electrocardiographic left atrial abnormality and stroke subtype in the atherosclerosis risk in communities study.

Authors:  Hooman Kamel; Wesley T O'Neal; Peter M Okin; Laura R Loehr; Alvaro Alonso; Elsayed Z Soliman
Journal:  Ann Neurol       Date:  2015-08-31       Impact factor: 10.422

4.  Associations of electrocardiographic P-wave characteristics with left atrial function, and diffuse left ventricular fibrosis defined by cardiac magnetic resonance: The PRIMERI Study.

Authors:  Theingi Tiffany Win; Bharath Ambale Venkatesh; Gustavo J Volpe; Nathan Mewton; Patricia Rizzi; Ravi K Sharma; David G Strauss; Joao A Lima; Larisa G Tereshchenko
Journal:  Heart Rhythm       Date:  2014-10-14       Impact factor: 6.343

5.  Atrial remodeling, autonomic tone, and lifetime training hours in nonelite athletes.

Authors:  Matthias Wilhelm; Laurent Roten; Hildegard Tanner; Ilca Wilhelm; Jean-Paul Schmid; Hugo Saner
Journal:  Am J Cardiol       Date:  2011-06-12       Impact factor: 2.778

6.  Signal-averaged P-wave analysis of normal controls and patients with paroxysmal atrial fibrillation: a study in gender differences, age dependence, and reproducibility.

Authors:  Anwer Dhala; Donald Underwood; Robert Leman; Ernest Madu; Dainia Baugh; Yukio Ozawa; Yuji Kasamaki; Qiuzhen Xue; Shankara Reddy
Journal:  Clin Cardiol       Date:  2002-11       Impact factor: 2.882

7.  Interatrial blocks. A separate entity from left atrial enlargement: a consensus report.

Authors:  Antonio Bayés de Luna; Pyotr Platonov; Francisco G Cosio; Iwona Cygankiewicz; Carlos Pastore; Rafa Baranowski; Antoni Bayés-Genis; Josep Guindo; Xavier Viñolas; Javier Garcia-Niebla; Raimundo Barbosa; Shlomo Stern; David Spodick
Journal:  J Electrocardiol       Date:  2012-09       Impact factor: 1.438

8.  Refining Prediction of Atrial Fibrillation-Related Stroke Using the P2-CHA2DS2-VASc Score.

Authors:  Ankit Maheshwari; Faye L Norby; Nicholas S Roetker; Elsayed Z Soliman; Ryan J Koene; Mary R Rooney; Wesley T O'Neal; Amil M Shah; Brian L Claggett; Scott D Solomon; Alvaro Alonso; Rebecca F Gottesman; Susan R Heckbert; Lin Y Chen
Journal:  Circulation       Date:  2019-01-08       Impact factor: 29.690

Review 9.  Association of P-Wave Abnormalities With Sudden Cardiac and Cardiovascular Death: The ARIC Study.

Authors:  Ankit Maheshwari; Faye L Norby; Elsayed Z Soliman; Alvaro Alonso; Nona Sotoodehnia; Lin Y Chen
Journal:  Circ Arrhythm Electrophysiol       Date:  2021-02-16

10.  Predictors of sudden cardiac death in atrial fibrillation: The Atherosclerosis Risk in Communities (ARIC) study.

Authors:  Ryan J Koene; Faye L Norby; Ankit Maheshwari; Mary R Rooney; Elsayed Z Soliman; Alvaro Alonso; Lin Y Chen
Journal:  PLoS One       Date:  2017-11-08       Impact factor: 3.240

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  3 in total

Review 1.  Left Atrial Cardiomyopathy - A Challenging Diagnosis.

Authors:  Fabienne Kreimer; Michael Gotzmann
Journal:  Front Cardiovasc Med       Date:  2022-06-30

2.  Markers of Atrial Cardiopathy in Severe Embolic Strokes of Undetermined Source.

Authors:  Maurizio Acampa; Alessandra Cartocci; Carlo Domenichelli; Rossana Tassi; Francesca Guideri; Pietro Enea Lazzerini; Giuseppe Martini
Journal:  Front Cardiovasc Med       Date:  2022-06-20

3.  Evaluation of ECG Repolarization Parameters in a Worker Cohort Working the Night Shift.

Authors:  Sezen B Uzunget; Kader E Sahin
Journal:  J Saudi Heart Assoc       Date:  2022-08-15
  3 in total

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