Abnormal P-wave terminal force in lead V1 is associated with low left atrial appendage ejection velocity

Nathaniel McConkey1, Peter Malamas1, Faye L Norby1

  • 1The Electrophysiology Program, Penn State Heart and Vascular Institute, Penn State Milton S. Hershey Medical Center, Hershey, PA, USA.

Insights

Abnormal P-wave terminal force in V1 is linked to reduced left atrial appendage ejection velocity in patients with atrial fibrillation. This finding may help predict stroke risk in AF patients.

Area of Science:

  • Cardiology
  • Electrophysiology
  • Medical Imaging

Background:

  • Atrial fibrillation (AF) increases stroke risk, primarily via left atrial appendage (LAA) thromboembolism.
  • Left atrial (LA) and LAA dysfunction are implicated in AF-related stroke.
  • Sinus P-wave abnormalities are associated with stroke in AF patients.

Purpose of the Study:

  • To investigate the association between abnormal P-wave terminal force in V1 (aPTFV1) and decreased LAA ejection velocity (LAAV).
  • To assess if aPTFV1 can serve as a predictor of LAA dysfunction in patients with AF.

Main Methods:

  • Retrospective cross-sectional study of 169 patients undergoing transesophageal echocardiography (TEE) in sinus rhythm.
  • Exclusion criteria included congenital heart disease, age <18, cardiac transplant, and chronic atrial pacing.
  • Logistic regression analysis was used to determine the odds of low LAAV (<40 cm/s) associated with aPTFV1.

Main Results:

  • The multivariate odds ratio of aPTFV1 for LAAV <40 cm/s was 2.24 (95% CI: 1.13-6.00), after adjusting for CHA₂DS₂-VASc variables, heart rate, atrial arrhythmia history, and LA volume index.
  • 28% of the study cohort exhibited LAAV <40 cm/s.

Conclusions:

  • Abnormal P-wave terminal force in lead V1 is significantly associated with low LAA ejection velocity.
  • These findings suggest aPTFV1 may be a useful non-invasive marker for LAA dysfunction in AF patients.
  • Further research is warranted to validate these findings and determine clinical utility for stroke risk stratification.
Abstract

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