Deep Terminal Negative of the P Wave in V1 and Incidence of Ischemic Stroke: The Atherosclerosis Risk in Communities (ARIC) Study

Overview

Journal J Electrocardiol

Specialty Cardiology & Vascular Diseases

Date 2024 Apr 18

PMID 38636124

Authors

Mingfang Li

Yuekai Ji

Youmei Shen

Wendy Wang

Kamakshi Lakshminarayan

Elsayed Z Soliman

Minglong Chen

Lin Yee Chen

Affiliations

Soon will be listed here.

Abstract

Background: Deep terminal negative of the P wave in V1 (DTNPV1) is a marker of left atrial remodeling. We aimed to evaluate the association of DTNPV1 with incident ischemic stroke.

Methods: The Atherosclerosis Risk in Communities study is a prospective community-based cohort study. All participants at visit 4 (1996-1998) except those with prevalent stroke, missing covariates, and missing or uninterpretable ECG were included. DTNPV1 was defined as the absolute value of the depth of the terminal negative phase >100 μV in the presence of biphasic P wave in V1. Association between DTNPV1 as a time-dependent exposure variable and incident ischemic stroke was evaluated. The accuracy of the prediction model consisting of DTNPV1 and CHADS-VASc variables in predicting ischemic stroke was analyzed.

Results: Among 10,605 participants (63 ± 6 years, 56% women, 20% Black), 803 cases of ischemic stroke occurred over a median follow-up of 20.19 years. After adjusting for demographics, DTNPV1 was associated with an increased risk of stroke (HR 1.96, [95% CI 1.39-2.77]). After further adjusting for stroke risk factors, use of aspirin and anticoagulants, and time-dependent atrial fibrillation, DTNPV1 was associated with a 1.50-fold (95% CI 1.06-2.13) increased risk of stroke. When added to the CHADS-VASc variables, DTNPV1 did not significantly improve stroke prediction as assessed by C-statistic. However, there was improvement in risk classification for participants who did not develop stroke.

Conclusion: DTNPV1 is significantly associated with higher risk of ischemic stroke. Since DTNPV1 is a simplified electrocardiographic parameter, it may help stroke prediction, a subject for further research.

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