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Published on: July 25, 2019
Atrial Conduction Disorders
Bryce Alexander1, Gary Tse2, Manuel Martinez-Selles3
1Division of Cardiology, Queen's University, Kingston, Ontario, ON K7L 3N6, Canada.
Insights
P-wave indices on ECGs reveal atrial conduction abnormalities, predicting risks for atrial fibrillation and stroke. These P-wave characteristics offer valuable insights into cardiovascular health and patient outcomes.
Area of Science:
- Cardiology
- Electrophysiology
- Diagnostic Electrocardiography
Background:
- Atrial conduction disorders impair cardiac impulse propagation, altering P-wave characteristics on electrocardiograms (ECGs).
- Various P-wave indices are linked to increased risks of atrial fibrillation (AF) and stroke.
- Interatrial block (IAB) is a key P-wave index predicting AF and supraventricular tachycardias.
Purpose of the Study:
- To review and discuss P-wave indices that reflect atrial conduction abnormalities.
- To highlight the clinical significance of these indices in predicting cardiovascular events.
- To explore novel risk scores incorporating P-wave characteristics for improved risk stratification.
Main Methods:
- Analysis of P-wave characteristics on standard 12-lead ECGs.
- Description of P-wave indices including P-Wave Axis, P-Terminal Force in V1, P-wave Dispersion, and P-wave voltage in lead I (PVL1).
- Review of associations between these indices and clinical outcomes like AF, stroke, and mortality.
Main Results:
- P-Wave Axis alterations are associated with stroke risk, prompting proposals for enhanced risk scores (e.g., P2-CHA2DS2-VASc).
- P-Terminal Force in V1 correlates with mortality and heart failure, potentially indicating atrial fibrosis.
- P-wave Dispersion and reduced PVL1 are linked to AF development and recurrence, with PVL1 showing promise in predicting new-onset AF.
- The MVP risk score, using IAB and PVL1, demonstrates good predictive ability for AF and is undergoing validation.
Conclusions:
- P-wave indices provide valuable, non-invasive markers for assessing atrial conduction and predicting cardiovascular risks.
- Specific P-wave abnormalities, such as IAB and reduced PVL1, are crucial for identifying patients at high risk of AF.
- Further research and validation of risk scores incorporating P-wave indices can enhance clinical decision-making and patient management.
Abstract:
Atrial conduction disorders result from impaired propagation of cardiac impulses from the sinoatrial node through the atrial conduction pathways. Disorders affecting interatrial conduction alter P-wave characteristics on the surface electrocardiogram. A variety of P-wave indices reflecting derangements in atrial conduction have been described and have been associated with an increased risk of atrial fibrillation (AF) and stroke. Interatrial block (IAB) is the most well-known of the different P-wave indices and is important clinically due to its ability to predict patients who are at risk of the development of AF and other supraventricular tachycardias. P-Wave Axis is a measure of the net direction of atrial depolarization and is determined by calculating the net vector of the P-wave electrical activation in the six limb-leads using the hexaxial reference system. It has been associated with stroke and it has been proposed that this variable be added to the existing CHA2DS2-VASc score to create a P2-CHA2DS2-VASc score to improve stroke prediction. P-Terminal Force in V1 is thought to be an epiphenomenon of advanced atrial fibrotic disease and has been shown to be associated with a higher risk of death, cardiac death, and congestive heart failure as well as an increased risk of AF. P-wave Dispersion is defined as the difference between the shortest and longest P-wave duration recorded on multiple concurrent surface ECG leads on a standard 12-lead ECG and has also been associated with the development of AF and AF recurrence. Pwave voltage in lead I (PVL1) is thought to be an electrocardiographic representation of cardiac conductive properties and, therefore, the extent of atrial fibrosis relative to myocardial mass. Reduced PVL1 has been demonstrated to be associated with new-onset AF in patients with coronary artery disease and may be useful for predicting AF. Recently a risk score (the MVP risk score) has been developed using IAB and PVL1 to predict atrial fibrillation and has shown a good predictive ability to determine patients at high risk of developing atrial fibrillation. The MVP risk score is currently undergoing validation in other populations. This section reviews the different P-wave indices in-depth, reflecting atrial conduction abnormalities.
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