51. P-wave axis is associated with all-cause mortality in diabetes: The ACCORD trial
- Author
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Joseph Yeboah, Lauren Ehrhardt-Humbert, Elijah H. Beaty, Elsayed Z. Soliman, Prashant D. Bhave, Bharathi Upadhya, and Matthew J. Singleton
- Subjects
medicine.medical_specialty ,Population ,Disease ,Type 2 diabetes ,030204 cardiovascular system & hematology ,03 medical and health sciences ,Electrocardiography ,0302 clinical medicine ,Risk Factors ,Internal medicine ,Diabetes mellitus ,medicine ,Humans ,030212 general & internal medicine ,education ,Proportional Hazards Models ,education.field_of_study ,business.industry ,Proportional hazards model ,Confounding ,medicine.disease ,Increased risk ,Diabetes Mellitus, Type 2 ,Cardiovascular Diseases ,Cardiology and Cardiovascular Medicine ,business ,All cause mortality - 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° or75°). 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.
- Published
- 2020