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Published on: July 20, 2022
Electrocardiogram P-Wave Dispersion and New-Onset Atrial Fibrillation: A Nested Case-Control Study
Chunlei Wu1, Yunxia Ma1, Pan Yang2
1Department of Electrocardiography and Cardiology, The Third Affiliated Hospital of Soochow University, 213000 Changzhou, Jiangsu, China.
Electrocardiogram P-wave dispersion (Pd) in sinus rhythm is linked to a higher risk of new-onset atrial fibrillation (NAF) within one year. This finding helps identify individuals at risk earlier for improved clinical outcomes.
Area of Science:
- Cardiology
- Electrophysiology
- Preventive Medicine
Background:
- Atrial fibrillation (AF) is a common arrhythmia.
- Early identification of individuals at risk for new-onset AF (NAF) is crucial for timely intervention and improved patient outcomes.
- Electrocardiogram (ECG) parameters may offer insights into AF risk.
Purpose of the Study:
- To investigate the association between P-wave dispersion (Pd) measured via ECG during sinus rhythm and the subsequent risk of developing NAF within one year.
- To identify potential biomarkers for early risk stratification of NAF.
Main Methods:
- A retrospective nested case-control study was conducted involving 824 participants (206 NAF cases, 618 controls).
- ECG, echocardiographic, laboratory, and clinical data were collected within one year of the NAF diagnosis index date.
- Conditional logistic regression models and generalized additive models (GAMs) were used to analyze the association between ECG parameters and NAF risk.
Main Results:
- Participants who developed NAF exhibited significantly higher P-wave duration, P-wave dispersion (Pd), and left atrial diameter compared to controls.
- Increased Pd was independently associated with a higher risk of NAF within one year (OR: 1.149, 95% CI: 1.099-1.202).
- Curve fitting confirmed a positive correlation between Pd and NAF risk.
Conclusions:
- ECG P-wave dispersion (Pd) during sinus rhythm is an independent predictor of new-onset atrial fibrillation (NAF) within one year.
- Measuring Pd may aid in identifying individuals at higher risk for NAF, facilitating earlier clinical management.
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