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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 Electrocardio

TitleP 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 Electrocardio
Publication TypeJournal Article
Year of Publication2022
AuthorsChen LYee, Ribeiro ALuiz Pinho, Platonov PG, Cygankiewicz I, Soliman EZ, Gorenek B, Ikeda T, Vassilikos VP, Steinberg JS, Varma N, Bayés-de-Luna A, Baranchuk A
JournalCirc Arrhythm Electrophysiol
Volume15
Issue4
Paginatione010435
Date Published2022 04
ISSN1941-3084
KeywordsAtrial Fibrillation, Consensus, Dementia, Electrocardiography, Humans, Ischemic Stroke, Reproducibility of Results
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 V, 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.

DOI10.1161/CIRCEP.121.010435
Alternate JournalCirc Arrhythm Electrophysiol
PubMed ID35333097
PubMed Central IDPMC9070127
Grant ListR01 HL141288 / HL / NHLBI NIH HHS / United States
R01 HL126637 / HL / NHLBI NIH HHS / United States
K24 HL155813 / HL / NHLBI NIH HHS / United States
R34 HL133526 / HL / NHLBI NIH HHS / United States
R34 HL153579 / HL / NHLBI NIH HHS / United States
UL1 TR001420 / TR / NCATS NIH HHS / United States