P-wave axis is associated with all-cause mortality in diabetes: The ACCORD trial.

Pubmed ID: 32413693

Journal: Journal of electrocardiology

Publication Date: May 1, 2020

Affiliation: Section of Cardiology, Department of Internal Medicine, Wake Forest School of Medicine, NC, United States of America. Electronic address: mjsingle@wakehealth.edu.

MeSH Terms: Humans, Cardiovascular Diseases, Risk Factors, Proportional Hazards Models, Diabetes Mellitus, Type 2, Electrocardiography

Authors: Soliman EZ, Yeboah J, Upadhya B, Bhave PD, Singleton MJ, Beaty EH, Ehrhardt-Humbert L

Cite As: Ehrhardt-Humbert L, Upadhya B, Bhave PD, Soliman EZ, Beaty EH, Yeboah J, Singleton MJ. P-wave axis is associated with all-cause mortality in diabetes: The ACCORD trial. J Electrocardiol 2020 May-Jun;60:184-187. Epub 2020 May 1.

Studies:

Abstract

Abnormal P-wave axis (PWA) has emerged as a novel marker of risk for both cardiovascular disease (CVD) and all-cause mortality (ACM) in the general population, though this relationship has not been adequately explored among those with type 2 diabetes (DM2). We aimed to explore the association between abnormal PWA and ACM among a large, well-phenotyped group of participants with DM2 from the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial. This analysis included 8899 ACCORD participants with available PWA data on baseline electrocardiogram. Cox proportional hazards models were used to examine the association between PWA and ACM in models adjusted for demographics, ACCORD trial treatment assignment, and potential confounders. PWA was modeled as either normal (0° -75°) or abnormal (<0° or >75°). Over 44,000 person-years of follow up, there were 609 deaths. Participants with abnormal PWA had increased risk of ACM (HR 1.61, 95% CI 1.25-2.08). After multivariable adjustment, the association remained significant (HR 1.33, 95% CI 1.03-1.72). This relationship was similar in subgroups stratified by age, race, sex, and history of CVD. Among ACCORD trial participants, abnormal PWA was associated with an increased risk of mortality. Abnormal PWA may have added value beyond traditional risk factors in prediction models.