Key result
Combined high EAT and EASIX indices linked to ~12-fold higher AF recurrence risk post-ablation.
Why the study?
AF recurrence after RFCA remains challenging, prompting evaluation of whether combining markers of local substrate derangement and systemic endothelial stress outperforms conventional predictors.
Does the combination of Epicardial Adipose Tissue (EAT) Index and Endothelial Activation and Stress Index (EASIX) predict atrial fibrillation recurrence in patients undergoing radiofrequency catheter ablation?
Cohort (n=765)
No
Does the combination of Epicardial Adipose Tissue (EAT) Index and Endothelial Activation and Stress Index (EASIX) predict atrial fibrillation recurrence in patients undergoing radiofrequency catheter ablation?
Combining the CT-derived EAT Index with the blood-based EASIX score significantly improves the prediction of atrial fibrillation recurrence after radiofrequency catheter ablation.
Answers are grounded in this paper and cite their sources.
May improve post-RFCA AF recurrence prediction; leaves open prospective validation against conventional markers.
Atrial fibrillation (AF) recurrence after radiofrequency catheter ablation (RFCA) remains a significant clinical challenge. We aimed to evaluate whether combined markers capturing both local substrate derangement and systemic endothelial stress can outperform conventional predictors for AF recurrence. This study retrospectively enrolled 765 patients with atrial fibrillation (paroxysmal and persistent) who underwent radiofrequency ablation at the First Affiliated Hospital of Anhui Medical University from October 2022 to August 2024. Epicardial adipose tissue index (EAT Index = EAT volume/body surface area) was derived from cardiac CT, and the endothelial activation and stress index (EASIX = LDH × creatinine/platelets) was calculated from routine blood tests. Restricted cubic splines revealed an approximately linear dose–response relationship between EAT Index and recurrence risk (Poverall < 0.001; Pnonlinearity = 0.952, indicating no evidence of nonlinearity). In fully adjusted Cox models, each 10 mL/m2 increase in EAT Index carried a hazard ratio (HR) of 1.92 (95% CI 1.61–2.29), while each unit increase in Ln(EASIX score) conferred an HR of 4.81 (95% CI 2.84–8.16). The combined model achieved an area under the curve of 0.753, with a positive predictive value (PPV) of 28.7% and a negative predictive value (NPV) of 93.7%, surpassing either marker alone. In exploratory analyses, Kaplan–Meier analysis showed clear separation among four risk strata (log-rank P < 0.0001), with the high-EAT Index/high-EASIX group exhibiting a 33.3% recurrence rate versus 4.3% in the low-EAT Index/low-EASIX group. Decision curve analysis suggested potential net clinical benefit across a broad range of threshold probabilities. Subgroup analyses demonstrated consistent predictive performance without significant interaction. Integrating EAT Index with EASIX may improve recurrence risk stratification after AF ablation, though external validation is needed.
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Xiong et al. (2026) conducted a cohort in Atrial fibrillation (n=765). High epicardial adipose tissue (EAT) index and high EASIX score vs. Low EAT index and low EASIX score was evaluated on Atrial fibrillation recurrence (HR 12.32, 95% CI 6.07-25.02, p=<0.001). The combination of a high epicardial adipose tissue index and a high endothelial activation and stress index was associated with a increased risk of atrial fibrillation recurrence following catheter ablation.
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