Title | 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 |
Publication Type | Journal Article |
Year of Publication | 2022 |
Authors | Chen 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 |
Journal | Circ Arrhythm Electrophysiol |
Volume | 15 |
Issue | 4 |
Pagination | e010435 |
Date Published | 2022 04 |
ISSN | 1941-3084 |
Keywords | Atrial 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. |
DOI | 10.1161/CIRCEP.121.010435 |
Alternate Journal | Circ Arrhythm Electrophysiol |
PubMed ID | 35333097 |
PubMed Central ID | PMC9070127 |
Grant List | R01 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 |