PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 2, 2026European Heart Journal - Cardiovascular Imaging0 citations

Association between epicardial adipose tissue compartments, pericoronary inflammation, and CAD-RADS classification in patients with atrial fibrillation

View Full Paper
BMB MatyasCounty HospitalIBI BenedekRGRenáta GerculyUniversitatea de Medicină, Farmacie, Științe și Tehnologie „George Emil Palade” din Târgu Mureș

Key Result

Atrial fibrillation was associated with significantly higher total epicardial adipose tissue volume (231.8 vs 153.2 mL; AUC 0.869, 95% CI 0.79-0.92, p<0.0001) and pericoronary inflammation.

Key Points

  • This study aims to explore the association between epicardial adipose tissue compartments, pericoronary inflammation, and CAD-RADS classification in atrial fibrillation patients.
  • Conducted a retrospective analysis of patients with chest pain and low-to-intermediate likelihood of coronary artery disease (CAD).
  • Measured volumes of epicardial adipose tissue compartments using cardiac computed tomography (CCT).
  • Evaluated coronary inflammation through fat attenuation index (FAI) and classified CAD using CAD-RADS.
  • Utilized AI-driven platforms for imaging analysis.
  • AF patients exhibited significantly higher total EAT (231.8 mL vs. 153.2 mL) and LA-EAT (23.55 mL vs. 15.54 mL), p &lt; 0.0001.
  • Total FAI score was higher in AF patients (14.83 vs. 12.37, p = 0.0447).
  • Higher prevalence of CAD-RADS 0–1 in non-AF individuals (47.8% vs. 26.2%, p = 0.032).
  • ROC analysis indicated total EAT has strong diagnostic value for AF detection (AUC = 0.869).

Study Design

Type

Observational (n=122)

Structured PICO

Are increased volumes of epicardial adipose tissue and pericoronary inflammation associated with atrial fibrillation in patients undergoing cardiac CT?

P
Population
122 patients with and without atrial fibrillation presenting with chest pain and a low-to-intermediate likelihood of coronary artery disease who underwent cardiac computed tomography.
E
Exposure
Atrial fibrillation (AF)
C
Comparator
Non-AF patients matched for age, sex, and risk factors
O
Outcome
Volumes of epicardial adipose tissue (EAT) compartments (total EAT, left atrial EAT, and biatrial EAT)surrogate

Higher epicardial adipose tissue volumes and elevated pericoronary inflammation markers on cardiac CT are significantly associated with the presence of atrial fibrillation.

Main Result

Effect estimate: AUC 0.869 (95% CI 0.79-0.92)

Absolute Event Rate: 231.8% vs 153.2%

p-value: p=<0.0001

Abstract

Abstract Background Atrial fibrillation (AF) is linked to increased epicardial adipose tissue (EAT) and inflammation, impacting atrial structure and function. Cardiac computed tomography (CCT) enables assessment of EAT volume and the fat attenuation index (FAI), a marker of coronary inflammation. Combined with the Coronary Artery Disease–Reporting and Data System (CAD-RADS) classification, these imaging markers may support risk stratification in AF. Purpose This study aimed to determine whether increased volumes of EAT compartments around the atria are associated with AF. A secondary objective was to explore the relationship between CAD-RADS classification and FAI scores, as assessed using the AI-driven CaRi-Heart® and syngo.via Frontier® platform. Methods This retrospective study included patients with and without AF, presenting with chest pain and a low-to-intermediate likelihood of CAD, all of whom underwent CCT. Volumes of EAT compartments—including total EAT, left atrial EAT (LA-EAT), and biatrial EAT (BA-EAT)—were measured, alongside CAD-RADS classification and FAI values for the three major epicardial coronary arteries. Results The study included 122 participants (mean age: 63.62 ± 7.75 years; 75 males), divided into AF and non-AF groups matched for age, sex, and risk factors. As expected, AF patients had significantly higher EAT volumes (total EAT: 231.8 ± 45.85 vs. 153.2 ± 54.14 mL, p 0.0001; LA-EAT: 23.55 ± 6.44 vs. 15.54 ± 8.49 mL, p 0.0001; BA-EAT: 50.24 ± 12.69 vs. 39.84 ± 15.70 mL, p = 0.0002). ROC analysis demonstrated strong diagnostic value for all EAT parameters in detecting AF: total EAT showed the highest performance (AUC = 0.869, 95% CI: 0.79–0.92), followed by LA-EAT (AUC = 0.776, 95% CI: 0.69–0.84) and BA-EAT (AUC = 0.703, 95% CI: 0.61–0.78), all statistically significant (p 0.0001) with good sensitivity and specificity. AF patients had a higher, though not statistically significant, prevalence of advanced CAD-RADS categories (2–3: 40.5% vs. 31.3%, p = 0.323; 4–5: 33.3% vs. 21.3%, p = 0.189), while CAD-RADS 0–1 was significantly more common in non-AF individuals (47.8% vs. 26.2%, p = 0.032). The total FAI score was higher in the AF group (14.83 ± 10.16 vs. 12.37 ± 7.89, p = 0.0447), though per-vessel differences were not significant. FAI Score Centile analysis revealed a higher inflammatory burden in AF, with more very high percentiles (33.3% vs. 13.8%, p = 0.0172) and fewer minimal values (9.5% vs. 31.3%, p = 0.0073). Conclusions Our results confirm that higher EAT volumes and elevated FAI scores are associated with AF, reflecting increased pericoronary inflammation. Although advanced CAD-RADS categories were more frequent in AF patients, only the lowest category showed a significant difference. These findings highlight the potential of EAT, FAI, and CAD-RADS as non-invasive imaging markers for AF risk assessment.Graphical overview of the study workflow (A) FAI risk and (B) CAD-RADS categories

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Matyas et al. (2026) conducted an observational in Atrial fibrillation (n=122). Atrial fibrillation vs. Non-atrial fibrillation was evaluated on Total epicardial adipose tissue (EAT) volume (AUC 0.869, 95% CI 0.79-0.92, p=<0.0001). Atrial fibrillation was associated with significantly higher total epicardial adipose tissue volume (231.8 vs 153.2 mL; AUC 0.869, 95% CI 0.79-0.92, p<0.0001) and pericoronary inflammation.

synapsesocial.com/papers/6980feeac1c9540dea8116achttps://doi.org/10.1093/ehjci/jeaf367.351
Ask AI
Helpful
Bookmark
Share
View Full Paper