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September 9, 2013Annals of Noninvasive Electrocardiology13 citations

Number of P‐Wave Fragmentations on P‐SAECG Correlates with Infiltrated Atrial Fat

SMSindhoora MurthyPRPatricia RizziNMNathan Mewton

Structured PICO

Does infiltrated atrial fat correlate with P-wave fragmentation on SAECG in patients with structural heart disease at risk for atrial fibrillation?

P
Population
90 patients in sinus rhythm with structural heart disease and paroxysmal atrial fibrillation (n=12) or with AF risk factors and LVEF > 35% (n=78), mean age 59.1 years, 35.5% female, based in the United States (Johns Hopkins Hospital). Key exclusions: age <21 or >70 years, LVEF ≤35%, eGFR ≤30 mL/min, and contraindication to contrast-enhanced CMR.
I
Intervention
Signal-averaged electrocardiogram (SAECG) to measure P-wave fragmentation (Pf) and cardiac magnetic resonance (CMR) imaging with Dark-blood DIR-prepared Fat-Water-separated sequence to quantify interatrial and epicardial fat.
O
Outcome
Correlation between the number of P-wave fragmentations (Pf) on SAECG leads and infiltrated atrial fat (interatrial and epicardial fat) measured by CMR.surrogate

Infiltrated interatrial fat correlates with discontinuous conduction on the posterior left atrial wall, suggesting it may serve as an early electrophysiological substrate for atrial fibrillation.

Limitations

  • Small study population
  • Cross-sectional design cannot establish a cause-effect relationship
  • Did not measure fat volumetrically

Abstract

BACKGROUND: Although atrial fibrillation (AF) triggers are known, the underlying AF substrate is less well understood. The goal of our study was to explore correlations between electrophysiological and structural characteristics of atria in patients with paroxysmal AF and individuals at AF risk. METHODS: Patients in sinus rhythm (N = 90; age 57 ± 10 year; 55 men 63.2%) with structural heart disease and paroxysmal AF (n = 12 13%), or with AF risk factors and LVEF > 35% (n = 78), underwent SAECG and cardiac magnetic resonance study. Interatrial and epicardial fat was analyzed with a Dark-blood DIR-prepared Fat-Water-separated sequence in the horizontal longitudinal axis. All local P-wave extrema were identified on SAECG leads during sinus rhythm. A P-wave fragmentation (Pf) was defined as an absolute difference between adjacent extrema which was above three standard deviations of noise, and was normalized by the duration of the P wave in the corresponding lead. RESULTS: The Pf was greater on the filtered than on the unfiltered P-SAECG signal (13.1 ± 3.8 vs. 3.4 ± 1.2; P < 0.0001). Pf was the greatest on the Y lead (13.0 ± 3.5 on Y lead vs. 12.1 ± 3.4 on Z lead; P = 0.003. Pf on Z lead correlated with interatrial fat index (r = 0.544; P = 0.001). Epicardial fat significantly correlated with body mass index (BMI; r = 0.302; P = 0.015). After adjustment for BMI, left atrium (LA) size, epicardial fat, and interatrial septum width, interatrial fat independently associated with the Pf on Z lead (β-coefficient 0.009 95%CI 0.0003-0.019; P = 0.043). CONCLUSIONS: Infiltrated atrial fat correlates with discontinuous conduction on posterior LA wall and represents AF early substrate.

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Cite This Study

Murthy et al. (2013) studied this question.

synapsesocial.com/papers/6a0511c5fba2ba61ab55fba2https://doi.org/10.1111/anec.12084
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