Association of P-Wave Abnormalities With Sudden Cardiac and Cardiovascular Death The ARIC Study

• Type of Material: Article
• Authors: Ankit Maheshwari, Penn State University; Faye L. Norby, University of Minnesota; Elsayed Z. Soliman, Wake Forest University; Alvaro Alonso, Emory University; Nona Sotoodehnia, University of Washington; Lin Y. Chen, University of Minnesota
• Language: English
• Date: 2021-02-01
• Publisher: Lippincott Williams & Wilkins
• Publication Version: Author Accepted Manuscript (After Peer Review)
• Copyright Statement: © 2021 American Heart Association, Inc.
• Final Published Version (URL): http://dx.doi.org/10.1161/CIRCEP.120.009314
• Title of Journal or Parent Work: Circulation: Arrhythmia and Electrophysiology
• Volume: 14
• Issue: 2
• Start Page: 216
• End Page: 218
• Grant/Funding Information: Lung, and Blood Institute, National Institutes of Health, Department of Health and Human Services, under Contract nos. (HHSN268201700001I, HHSN268201700002I, HHSN268201700003I, HHSN268201700005I, HHSN268201700004I).; The Atherosclerosis Risk in Communities study has been funded in whole or in part with Federal funds from the National Heart,
• Keywords: heart failure; Cardiovascular System & Cardiology; cardiovascular disease; American Heart Association; Prediction; Cardiac & Cardiovascular Systems; Score; death; risk factors; Life Sciences & Biomedicine; Science & Technology
• Research Categories: Health Sciences, Public Health; Health Sciences, Health Care Management; Health Sciences, Epidemiology

Abstract

Electrocardiographic assessment of cardiovascular (CV) risk has primarily relied on analysis of ventricular depolarization and repolarization.1 Atrial cardiomyopathy is increasingly recognized as an independent contributor to poor CV outcomes. It is characterized by adverse structural, architectural, contractile, and/or electrophysiological atrial remodeling,2 which manifests electrocardiographically3 as abnormal P-wave indices (aPWIs). We aimed to determine whether aPWIs are associated with sudden cardiac death (SCD) and CV death independent of clinical CV risk factors from the American College of Cardiology/American Heart Association (ACC/AHA) pooled cohort equation4 and established electrocardiographic1 CV risk markers. We also aimed to determine whether use of multiple electrocardiographic markers could improve prediction models for SCD and CV death.