Electrocardiographic left atrial abnormality and risk of heart failure

Sunnie Li1, Muhammad Imtiaz Ahmad2, Yabing Li1

  • 1Epidemiological Cardiology Research Center, Section on Cardiovascular Medicine, Department of Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, United States of America.

PubMed

Insights

Electrocardiographic left atrial abnormality (ECG-LAA), indicated by deep terminal negativity of P wave in V1 (DTNPV1), is linked to increased heart failure (HF) risk. This association shows racial disparities, suggesting personalized HF risk assessment.

Area of Science:

  • Cardiology
  • Electrophysiology
  • Public Health

Background:

  • The relationship between electrocardiographic markers of left atrial abnormality (ECG-LAA) and heart failure (HF) is not fully understood.
  • Racial differences in the association of ECG-LAA with HF require further investigation.

Purpose of the Study:

  • To examine the association between ECG-LAA, specifically deep terminal negativity of P wave in V1 (DTNPV1), and heart failure (HF).
  • To investigate potential racial differences in the association between DTNPV1 and HF.

Main Methods:

  • Cross-sectional analysis of 8460 participants from the US Third National Health and Nutrition Examination Survey.
  • ECG-LAA defined as DTNPV1 ≥ 100 μV, automatically measured from ECGs.
  • Multivariable logistic regression used to assess the association of DTNPV1 with HF history, adjusting for confounders.

Main Results:

  • Abnormal DTNPV1 was detected in 3.2% of participants, who had a significantly higher prevalence of HF (14.7% vs. 4.8%).
  • ECG-LAA (abnormal DTNPV1) was associated with a 98% increased odds of HF (OR: 1.98; 95% CI: 1.30-3.01).
  • The association between DTNPV1 and HF was significantly stronger in non-White participants compared to White participants (interaction p=0.01).

Conclusions:

  • ECG-LAA, identified by abnormal DTNPV1, is a significant marker associated with increased HF risk.
  • The study highlights the role of atrial disease in the development of HF.
  • Observed racial differences suggest that ECG-LAA may be valuable in personalized HF risk stratification.
Abstract

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