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Updated: Dec 20, 2025
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Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation
Published on: July 20, 2022
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Assessing Atrial Fibrillation Substrates by P Wave Analysis: A Comprehensive Review
Francesca Palano1, Carmen Adduci2, Pietro Cosentino2
1Division of Cardiology, Department of Clinical and Molecular Medicine, Sapienza University, Rome, Via di Grottarossa 1035, 00189, Rome, Italy. f.palano@gmail.com.
Summary
Analyzing P wave signals using electrocardiography can identify atrial fibrillation (AF) risks early. This non-invasive method helps predict arrhythmia relapses and guide treatment for stroke prevention in asymptomatic patients.
Area of Science:
- Cardiology
- Electrophysiology
- Medical Diagnostics
Background:
- Atrial fibrillation (AF) is the most common cardiac arrhythmia, significantly increasing stroke risk.
- Current rhythm control strategies often fail to reduce stroke risk and may miss asymptomatic AF episodes.
- Early identification of patients predisposed to AF is crucial for preventing cerebrovascular accidents.
Purpose of the Study:
- To review the evidence supporting P wave analysis for assessing AF substrates.
- To evaluate the utility of P wave analysis in predicting AF relapses.
- To explore how P wave analysis can guide rhythm-control interventions.
Main Methods:
- Review of existing literature on P wave analysis in atrial fibrillation.
- Focus on standard electrocardiography (ECG) and signal-averaged electrocardiography (SAECG).
- Analysis of ECG-derived markers for atrial changes and AF risk stratification.
Main Results:
- ECG-derived P wave analysis is a cost-effective tool for detecting AF-associated atrial changes.
- High-resolution SAECG offers more accurate P wave analysis for risk stratification.
- P wave analysis shows potential for identifying pre-clinical substrate changes indicative of AF risk.
Conclusions:
- P wave analysis, particularly SAECG, can serve as an early, non-invasive marker for AF risk.
- This method aids in identifying at-risk individuals, including those with asymptomatic AF.
- Findings support P wave analysis for tailored patient care and guiding rhythm-control strategies.
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