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Background:
Hypothesis

Left Atrial Mechanics and Remodeling in Paroxysmal Atrial Fibrillation: Introducing the EASE Score for Pre-Ablation Risk Prediction

1
Division of Cardiology, “A. Cardarelli” Hospital, 80131 Naples, Italy
2
Department of Cardiology, “V. Monaldi” Hospital, 80131 Naples, Italy
3
Department of Cardiology, “San Leonardo” Hospital, 80131 Naples, Italy
4
Division of Arrhythmology, “Santa Maria della Pietà” Hospital, 80131 Naples, Italy
*
Author to whom correspondence should be addressed.
Med. Sci. 2025, 13(3), 131; https://doi.org/10.3390/medsci13030131
Submission received: 22 June 2025 / Revised: 24 July 2025 / Accepted: 12 August 2025 / Published: 14 August 2025
(This article belongs to the Section Cardiovascular Disease)

Abstract

Background: Paroxysmal atrial fibrillation (PAF) is a common arrhythmia often treated with catheter ablation, particularly pulmonary vein isolation (PVI). However, recurrence remains frequent and is often linked to unrecognized structural and functional remodeling of the left atrium. Methods: We introduce the Echocardiographic Atrial Strain and conduction Evaluation (EASE) score as a theoretical, noninvasive model to stratify recurrence risk in patients undergoing catheter ablation for PAF. The score is based on the hypothesis that integrated echocardiographic parameters can reflect the extent of atrial remodeling relevant to ablation outcomes. Results: The EASE score combines six echocardiographic metrics—left atrial reservoir strain (LASr), atrial conduction time (PA-TDI), left atrial volume index (LAVI), stiffness index (E/e′/LASr), E/e′ ratio, and contractile strain (LASct)—each representing structural, electrical, or mechanical remodeling. The total score ranges from 0 to 12, stratifying patients into low, intermediate, and high-risk categories for arrhythmia recurrence. Preliminary retrospective data suggest a significant association between higher EASE scores and increased recurrence rates following ablation. Conclusions: The EASE score offers a biologically plausible, multidimensional framework for noninvasive risk prediction in PAF ablation. Prospective studies are warranted to validate its clinical utility and refine its structure.

1. Introduction

Paroxysmal atrial fibrillation (PAF) is a common cardiac arrhythmia characterized by episodes of irregular atrial activity that begin abruptly and terminate spontaneously, typically within 48 h and always within seven days [1]. Despite its transient presentation, PAF is associated with a substantial clinical burden, including elevated risks of stroke, heart failure, and progression to persistent or permanent atrial fibrillation [2]. It also significantly impairs quality of life and increases healthcare utilization.
Catheter ablation, particularly pulmonary vein isolation (PVI), has become a cornerstone treatment for symptomatic, drug-refractory PAF [3]. By targeting the pulmonary vein triggers that initiate atrial fibrillation episodes, ablation offers the potential for rhythm control and symptom relief [4]. However, recurrence after ablation remains a significant challenge, affecting a considerable proportion of patients [5]. Variability in outcomes is often attributed to the underlying degree of atrial remodeling, which may be underestimated or undetected using standard clinical assessments [6].
In this context, echocardiography, particularly advanced modalities such as speckle-tracking and tissue Doppler imaging, has emerged as a valuable tool for characterizing atrial structure and function [7]. Echocardiographic parameters can reveal early signs of atrial myopathy, including fibrosis, dilation, and contractile dysfunction, all of which influence the likelihood of ablation success [8].
This manuscript presents a testable clinical hypothesis regarding a novel echocardiographic scoring system, the Echocardiographic Atrial Strain and conduction Evaluation (EASE) score, that may improve risk stratification in AF ablation candidates. By integrating six key parameters reflecting electrical, mechanical, and structural remodeling, the EASE score could provide a practical, noninvasive framework to guide clinical decision-making and personalize patient care.

2. Pathophysiological Background

PAF arises from a complex interaction between focal electrical triggers and an evolving atrial substrate [9]. In the majority of cases, the initial episodes of PAF are driven by ectopic activity originating in the pulmonary veins [10]. However, as the condition progresses, structural and functional remodeling of the atrial myocardium begins to play a more prominent role in arrhythmia maintenance and recurrence [11].
The atrial remodeling process is multifaceted. Structurally, it involves progressive enlargement of the left atrium, increased atrial wall thickness, and interstitial fibrosis [12]. These changes reduce atrial compliance, impair mechanical function, and disrupt normal conduction pathways [13]. Functionally, remodeling leads to altered atrial contractility and diminished reservoir and conduit phases of left atrial function. Electrically, there is a slowing of conduction, increased dispersion of refractoriness, and the potential for reentrant circuits, all of which enhance the substrate for sustained atrial fibrillation [14].
Inflammation, oxidative stress, neurohormonal activation, and elevated atrial pressures all contribute to the remodeling cascade, especially in obesity and diabetes [15]. Moreover, conditions such as hypertension, heart failure, and sleep apnea can accelerate these changes and further destabilize atrial electrophysiology [16].
Understanding the underlying pathophysiology of atrial remodeling and its mechanical effects is essential for optimizing the timing and strategy of catheter ablation. While focal pulmonary vein isolation addresses the initiating triggers, the degree of atrial remodeling ultimately influences long-term success [17].
Importantly, the accumulation of epicardial adipose tissue (EAT), particularly in the left atrial region (LA-EAT), has emerged as a potent contributor to atrial remodeling. LA-EAT influences atrial function through paracrine inflammatory signaling, mechanical compression, and promotion of fibrosis. Its presence is associated with reduced atrial strain, elevated stiffness, and regional conduction heterogeneity [18]. While EAT volume is not directly included in the EASE score, its effects are indirectly captured through the strain and stiffness parameters it includes.
Hence, a reliable, noninvasive method to assess the structural and functional integrity of the left atrium, such as the EASE score, could provide critical insights into patient selection and expected procedural outcomes.

3. Components of the EASE Score

Left Atrial Reservoir Strain (LASr): LASr is a measure of atrial deformation during ventricular systole, reflecting the reservoir function of the left atrium [19]. It is assessed using 2D speckle-tracking echocardiography and reported as a percentage (Figure 1). A normal LASr value is typically greater than 23%, indicating good atrial compliance and minimal fibrosis. Values between 15% and 23% are considered borderline, while values below 15% suggest advanced atrial remodeling [20]. Reduced LASr has been associated with atrial fibrosis, decreased left atrial compliance, and a higher risk of recurrence after catheter ablation [21].
Atrial Conduction Time (PA-TDI): PA-TDI is calculated as the time interval from the onset of the P wave on a surface ECG to the onset of the A′ wave measured by tissue Doppler imaging at the lateral mitral annulus [22] (Figure 2). This parameter reflects atrial electromechanical delay and serves as an indicator of electrical remodeling. Normal values are usually below 120 msec, while intervals above 150 msec suggest significant conduction slowing, often due to fibrotic tissue or dilated atrial architecture [23]. Prolonged PA-TDI is independently associated with arrhythmia persistence and ablation failure [24].
Left Atrial Volume Index (LAVI): LAVI quantifies the size of the left atrium indexed to body surface area and is measured using the biplane method of disks (modified Simpson’s rule) from apical four- and two-chamber views [25] (Figure 3). Normal LAVI is below 34 mL/m2, with values between 34 and 48 mL/m2 representing mild to moderate enlargement, and values above 48 mL/m2 indicating severe dilation. Increased LAVI reflects chronic pressure or volume overload, often linked to diastolic dysfunction or longstanding atrial fibrillation [26]. It is a robust predictor of adverse cardiovascular events and procedural failure in AF ablation.
Left Atrial Stiffness Index (E/e′/LASr): This index combines two critical metrics: E/e′, which reflects left ventricular filling pressure, and LASr, which reflects atrial compliance [27]. The stiffness index is calculated by dividing E/e′ by LASr. A value below or equal to 0.5 indicates normal stiffness, whereas a value above 0.5 denotes increased left atrial stiffness. Elevated stiffness is indicative of impaired reservoir function and advanced remodeling, and has been shown to correlate with post-ablation recurrence [28].
E/e′ Ratio: The E/e′ ratio is a widely used echocardiographic parameter for estimating left ventricular diastolic pressures [29]. It is derived from early mitral inflow velocity (E wave) and early diastolic mitral annular velocity (e′) obtained via pulsed-wave and tissue Doppler imaging, respectively. A ratio above 14 suggests elevated left atrial pressure and diastolic dysfunction [30]. These changes contribute to left atrial strain and enlargement, providing an arrhythmogenic substrate for AF maintenance [31].
Left Atrial Contractile Strain (LASct): LASct represents the active contraction function of the left atrium and is evaluated using speckle-tracking echocardiography during the late diastolic phase [32] (Figure 1). It is measurable only in patients who are in sinus rhythm at the time of examination. Normal values are typically above 6%, whereas values below this threshold suggest poor contractile function and advanced atrial disease [33]. Impaired LASct has been linked to a greater likelihood of arrhythmia recurrence and reflects the diminished booster pump contribution of the atrium to left ventricular filling [34].
These six parameters, when evaluated collectively, provide a multidimensional assessment of left atrial structure, function, and electromechanical integrity. Their integration into the EASE score enables precise risk stratification (Figure 4) and supports a tailored approach to the management of patients undergoing AF ablation (Table 1).
Based on the distribution of EASE scores in our study cohort and their association with arrhythmia recurrence, we classified patients into three risk groups: low (0–3), intermediate (4–8), and high (9–12). This stratification was determined empirically by identifying score intervals associated with progressively higher recurrence rates during follow-up. Patients in the low-risk group exhibited significantly lower recurrence rates (<10%), while those in the high-risk group demonstrated recurrence rates > 60%. The intermediate group represented a transitional zone with moderate risk. This tripartite model facilitates clinical decision-making by providing a practical, biologically grounded framework to estimate recurrence probability and tailor post-ablation management.

4. Echocardiographic–Electrophysiological Correlation

The EASE score’s predictive strength lies in its ability to noninvasively capture pathophysiological remodeling processes that correspond to the electrical behavior of the left atrium observed during invasive electrophysiological (EP) mapping. Each component of the score correlates with specific features of the arrhythmogenic substrate, offering a mechanistic bridge between imaging and intervention (Table 2).
Left Atrial Reservoir Strain (LASr) is perhaps the most sensitive echocardiographic indicator of myocardial fibrosis and compliance [35]. Low LASr values (<15%) consistently correspond to regions of low-voltage myocardium (<0.5 mV) on bipolar voltage mapping, representing fibrotic or non-viable atrial tissue [36] (Figure 5). These regions often exhibit sparse or absent Complex Fractionated Atrial Electrogram (CFAE) activity, reduced local capture during pacing, and decreased ablation responsiveness, particularly when confined to the posterior and inferior walls [37].
Atrial Conduction Time (PA-TDI) reflects electromechanical delay and is a noninvasive surrogate for slowed intra-atrial conduction. Patients with prolonged PA-TDI (>150 ms) often display broader total activation time during sinus rhythm or pacing, interatrial dyssynchrony, and delayed left atrial appendage activation [38]. These features align with conduction block or zig-zag conduction patterns on EP mapping, indicating an arrhythmogenic milieu that favors reentry [39].
Left Atrial Volume Index (LAVI) represents cumulative structural remodeling. Atrial dilation, particularly when indexed LAVI exceeds 48 mL/m2, is associated with greater spatial dispersion of CFAEs and more complex propagation patterns during AF [40]. Mapping in these patients frequently reveals multiple breakthrough sites, longer electrogram duration, and a wider distribution of rotors or wavelets.
Left Atrial Stiffness Index (E/e′/LASr) integrates diastolic burden and reservoir dysfunction. Elevated stiffness index values (>0.5) correlate with increased atrial afterload, loss of compliance, and the development of conduction heterogeneity [41]. These areas often overlap with low-voltage zones and regions exhibiting fragmented or double potentials, particularly in the posterior wall.
E/e′ ratio reflects elevated left atrial pressures and indirectly contributes to remodeling via hemodynamic stress. High E/e′ (>14) has been associated with greater AF vulnerability and difficulty maintaining sinus rhythm post-ablation. EP correlates include prolonged local electrogram duration and lower voltage density [42].
Left Atrial Contractile Strain (LASct), which represents active atrial systole, shows a strong association with late atrial potentials and mechanical booster function. LASct < 6% is predictive of atrial standstill or severely blunted contraction on EP recordings. These patients often demonstrate diffuse electrical quiescence in sinus rhythm and may fail to maintain mechanical recovery post-ablation [43].
Collectively, these echocardiographic parameters provide a multidimensional portrait of the atrial substrate. Their correlation with invasive findings validates the EASE score as a reliable predictor of electrophysiological remodeling. By identifying patients with extensive conduction delay, fibrosis, and mechanical impairment, the score offers practical guidance for tailoring ablation strategy, such as determining the need for posterior wall modification, targeting non-pulmonary triggers, or deferring ablation in favor of upstream therapy.
Reduced LASr aligns with zones of low-voltage and diminished CFAE density, indicating a fibrotic and non-conductive atrial substrate [44].
Prolonged PA-TDI corresponds with delayed conduction and increased atrial activation time [45].
While elevated LAVI is linked to expanded CFAE distribution and increased procedural complexity [46], a high stiffness index correlates with prolonged AF duration and reduced success of PVI [47].
Finally, E/e′ elevation reflects elevated filling pressure, which contributes to structural strain and diastolic stress, and an impaired LASct is associated with attenuated atrial late potentials and reduced sinus rhythm maintenance [48].
The incorporation of these findings into a composite model enhances predictive accuracy by capturing the multifactorial nature of atrial remodeling, including metabolic-inflammatory influences such as LA-EAT [49]. This indirect sensitivity to adipose-induced pathology extends the score’s relevance beyond purely structural metrics.

5. Discussion

The EASE score represents a significant advancement in the noninvasive assessment of atrial substrate for patients undergoing catheter ablation for paroxysmal atrial fibrillation. Traditional risk stratification methods often rely on clinical variables or singular echocardiographic measures, such as left atrial volume [50]. However, atrial fibrillation is a multifactorial disease involving structural, electrical, and mechanical remodeling of the atrium [51]. The EASE score could help address this complexity by integrating six distinct echocardiographic parameters, each targeting a different dimension of atrial health.
One of the key strengths of the EASE score lies in its comprehensive scope. Parameters such as LASr and LASct evaluate the mechanical function of the atrium during both passive filling and active contraction phases [52]. PA-TDI serves as a surrogate for conduction velocity and interatrial synchrony [53], while LAVI captures long-term structural adaptation to volume and pressure overload [54]. The inclusion of the LA stiffness index and the E/e′ ratio further contextualizes atrial function in the setting of diastolic load and compliance, which are highly relevant to atrial remodeling and fibrosis [55].
Importantly, all six components of the EASE score can be measured using standard transthoracic echocardiography with the addition of speckle-tracking and tissue Doppler imaging, modalities that are widely available in modern echocardiographic laboratories. This ensures broad applicability and reproducibility without reliance on invasive testing or advanced imaging techniques such as cardiac MRI.
From a clinical perspective, the EASE score has the potential to help clinicians in identifying patients who are most likely to benefit from ablation, informing discussions about procedural risks and expectations, and optimizing patient selection for early intervention versus more conservative management. High-risk patients, as identified by elevated EASE scores, may warrant more aggressive substrate mapping, closer post-procedural monitoring, or even consideration of alternative strategies.
Moreover, the EASE score provides a quantitative framework that may harmonize research efforts and improve standardization in clinical trials assessing outcomes of atrial fibrillation ablation. Its potential role extends beyond baseline assessment, offering a basis for longitudinal tracking of atrial remodeling in response to therapy or lifestyle modification.
By reflecting the true multidimensional nature of atrial health, the EASE score could enhance clinical decision-making and has the potential to improve procedural outcomes and patient care.

6. Preliminary Data and Validation Outlook

Although the EASE score has not yet undergone large-scale prospective validation, preliminary observational data from our institution suggest promising clinical utility. In a retrospective analysis of 128 patients who underwent first-time pulmonary vein isolation for paroxysmal atrial fibrillation between January 2020 and December 2023 (Table 3), higher composite EASE scores were significantly associated with increased arrhythmia recurrence at 12 months.
The median follow-up duration was 14 months (IQR: 11–18 months). Arrhythmia recurrence was defined as any documented episode of atrial fibrillation, atrial flutter, or atrial tachycardia lasting longer than 30 s, occurring after a 3-month post-ablation blanking period. Notably, patients classified as high-risk (score ≥ 9) experienced more than twice the recurrence rate compared to those in the low-risk group (score ≤ 3). These preliminary findings support the EASE score’s potential as a discriminative tool for stratifying procedural outcomes (Figure 6). Nonetheless, these results are exploratory and based on a single-center retrospective cohort. Prospective, multicenter validation studies are warranted to confirm these associations and to refine the score’s thresholds and weighting.

7. Limitations and Future Directions

Although the EASE score could represent an innovative and practical tool for noninvasive risk stratification in patients undergoing catheter ablation for paroxysmal atrial fibrillation, its current formulation has some inherent limitations. At present, the score remains a conceptual model, lacking prospective validation through clinical trials. Without such validation, its predictive accuracy and generalizability remain hypothetical. Additionally, the use of speckle-tracking echocardiography and tissue Doppler imaging introduces a degree of operator dependency and variability in measurements, potentially affecting reproducibility. This is particularly relevant in clinical settings where echocardiographic expertise and image quality may differ significantly. As a conceptual hypothesis, the EASE score warrants prospective validation before routine clinical application.
Another important consideration is that some of the parameters included in the score, such as LASct, are rhythm-dependent and can only be reliably measured when the patient is in sinus rhythm [56]. This limits the applicability of the score in patients presenting with atrial fibrillation, who may be among those in greatest need of accurate risk stratification. In addition, we acknowledge that parameters such as LASr, LASct, and PA-TDI are subject to inter- and intra-observer variability. However, when performed by trained operators following standardized protocols, these measures have demonstrated acceptable reproducibility. Prior studies report intra-observer intraclass correlation coefficients > 0.80 for LASr, and >0.85 for PA-TDI when measured under appropriate image quality and acquisition settings. Therefore, structured training and adherence to guidelines [57] are essential for consistent application of the EASE score in clinical practice.
Furthermore, while the score reflects the influence of EAT through its impact on atrial strain and stiffness, it does not include a direct measure of EAT or atrial fibrosis, both of which are increasingly recognized as critical contributors to arrhythmogenic remodeling. Incorporating imaging modalities such as cardiac MRI or CT could help address this gap [58,59].
Moreover, the current version of the EASE score assigns equal weight to each of its six parameters, an approach based more on theoretical rationale than statistical optimization. Future studies should aim to refine the scoring system using outcome-driven data to establish more accurate weighting and threshold definitions.
Looking forward, the EASE score holds promise for further development. Prospective, multicenter studies are essential to validate its predictive performance and determine its added value compared to existing risk stratification tools. Integrating the score with advanced imaging techniques and electroanatomic mapping could further enhance its diagnostic precision. Additionally, embedding the EASE score into automated echocardiographic analysis software could streamline its implementation in clinical practice, facilitating broader adoption and more standardized patient assessment.

8. Conclusions

The EASE score provides a novel and integrative approach to pre-procedural evaluation in patients with paroxysmal atrial fibrillation undergoing catheter ablation. By combining six key echocardiographic parameters, covering atrial structure, function, conduction, and compliance, it delivers a comprehensive assessment of atrial health that extends beyond conventional volume-based metrics. The score’s strength lies in its clinical practicality: all components are derived from standard transthoracic echocardiography, making it easily implementable in routine practice without requiring advanced or invasive technologies.
This multidimensional model enhances risk stratification by identifying patients at high risk of post-ablation recurrence and those likely to benefit most from intervention. It also lays a foundation for more personalized treatment strategies, informed patient counseling, and potentially, improved long-term outcomes. In a field where variability in procedural success remains a challenge, the EASE score offers a standardized, reproducible tool to optimize therapeutic decision-making.
As a theoretical model, the EASE score invites further investigation and prospective clinical validation. Further validation in prospective, multicenter studies will be essential to confirm its predictive accuracy and to explore its integration with other diagnostic modalities such as MRI, biomarkers, and electroanatomic mapping. Nonetheless, the EASE score may represent a meaningful step forward in the pursuit of precision medicine in atrial fibrillation care.

Author Contributions

Conceptualization, F.C.; methodology, F.C., I.C., P.C. and M.V.; software, R.G. and F.M.; validation, F.C. and I.C.; formal analysis, F.C.; investigation, F.C., I.C. and R.G.; resources, F.C. and M.V.; data curation, F.C., I.C. and M.V.; writing—original draft preparation, F.C.; writing—review and editing, F.C. and P.C.; visualization, P.C., F.M. and M.V.; supervision, F.C., P.C. and M.V.; project administration, F.C. and R.G. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

This study involved the retrospective analysis of anonymized clinical and echocardiographic data. It was conducted in accordance with the Declaration of Helsinki. Informed consent was waived due to the retrospective nature of the study and the use of de-identified data.

Data Availability Statement

Data are available from the corresponding author on reasonable request.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
PAFParoxysmal Atrial Fibrillation
PVIPulmonary Vein Isolation
EASEEchocardiographic Atrial Strain and conduction Evaluation (Score)
LAVILeft Atrial Volume Index
LASrLeft Atrial Reservoir Strain
LASctLeft Atrial Contractile Strain
PA-TDIAtrial Conduction Time Measured by Tissue Doppler Imaging
E/e′Ratio of early mitral inflow to early diastolic mitral annular velocity
E/e′/LASrStiffness Index (a derived parameter combining diastolic function and strain)
EATEpicardial Adipose Tissue

References

  1. Van Gelder, I.C.; Rienstra, M.; Bunting, K.V.; Casado-Arroyo, R.; Caso, V.; Crijns, H.J.G.M.; De Potter, T.J.R.; Dwight, J.; Guasti, L.; Hanke, T.; et al. 2024 ESC Guidelines for the management of atrial fibrillation developed in collaboration with the European Association for Cardio-Thoracic Surgery (EACTS). Eur. Heart J. 2024, 45, 3314–3414. [Google Scholar] [CrossRef]
  2. Camm, A.J.; Naccarelli, G.V.; Mittal, S.; Crijns, H.J.G.M.; Hohnloser, S.H.; MA, C.S.; Natale, A.; Turakhia, M.P.; Kirchhof, P. The Increasing Role of Rhythm Control in Patients with Atrial Fibrillation: JACC State-of-the-Art Review. J. Am. Coll. Cardiol. 2022, 79, 1932–1948. [Google Scholar] [CrossRef] [PubMed]
  3. Ghannam, M.; Chugh, A. Pulmonary Vein Isolation for Paroxysmal Atrial Fibrillation: When Can We Have It All? JACC Clin. Electrophysiol. 2021, 7, 364–366. [Google Scholar] [CrossRef] [PubMed]
  4. Cluckey, A.; Perino, A.C.; Yunus, F.N.; Leef, G.C.; Askari, M.; Heidenreich, P.A.; Narayan, S.M.; Wang, P.J.; Turakhia, M.P. Efficacy of Ablation Lesion Sets in Addition to Pulmonary Vein Isolation for Paroxysmal Atrial Fibrillation: Findings from the SMASH—AF Meta-Analysis Study Cohort. J. Am. Heart Assoc. 2019, 8, e009976. [Google Scholar] [CrossRef]
  5. Kueffer, T.; Bordignon, S.; Neven, K.; Blaauw, Y.; Hansen, J.; Adelino, R.; Ouss, A.; Füting, A.; Roten, L.; Mulder, B.A.; et al. Durability of Pulmonary Vein Isolation Using Pulsed-Field Ablation: Results from the Multicenter EU-PORIA Registry. JACC Clin. Electrophysiol. 2024, 10, 698–708. [Google Scholar] [CrossRef]
  6. Kogawa, R.; Okumura, Y.; Watanabe, I.; Nagashima, K.; Takahashi, K.; Iso, K.; Watanabe, R.; Arai, M.; Kurokawa, S.; Ohkubo, K.; et al. Left atrial remodeling: Regional differences between paroxysmal and persistent atrial fibrillation. J. Arrhythm. 2017, 33, 483–487. [Google Scholar] [CrossRef]
  7. Ji, M.; He, L.; Gao, L.; Lin, Y.; Xie, M.; Li, Y. Assessment of Left Atrial Structure and Function by Echocardiography in Atrial Fibrillation. Diagnostics 2022, 12, 1898. [Google Scholar] [CrossRef]
  8. Olsen, F.J.; Darkner, S.; Chen, X.; Pehrson, S.; Johannessen, A.; Hansen, J.; Gislason, G.; Svendsen, J.H.; Biering-Sørensen, T. Left atrial structure and function among different subtypes of atrial fibrillation: An echocardiographic substudy of the AMIO-CAT trial. Eur. Heart J. Cardiovasc. Imaging 2020, 21, 1386–1394. [Google Scholar] [CrossRef] [PubMed]
  9. Sim, I.; Bishop, M.; O’Neill, M.; Williams, S.E. Left atrial voltage mapping: Defining and targeting the atrial fibrillation substrate. J. Interv. Card. Electrophysiol. 2019, 56, 213–227. [Google Scholar] [CrossRef] [PubMed]
  10. Huang, B.H.; Wu, M.H.; Tsao, H.M.; Tai, C.T.; Lee, K.T.; Lin, Y.J.; Hsieh, M.H.; Lee, S.H.; Chen, Y.J.; Kuo, J.Y.; et al. Morphology of the thoracic veins and left atrium in paroxysmal atrial fibrillation initiated by superior caval vein ectopy. J. Cardiovasc. Electrophysiol. 2005, 16, 411–417. [Google Scholar] [CrossRef] [PubMed]
  11. Zeljkovic, I.; Knecht, S.; Spies, F.; Reichlin, T.; Osswald, S.; Kühne, M.; Sticherling, C. Paroxysmal atrial fibrillation recurrence after redo procedure-ablation modality impact. J. Interv. Card. Electrophysiol. 2020, 57, 77–85. [Google Scholar] [CrossRef]
  12. Kong, Q.; Shi, L.; Yu, R.; Long, D.; Zhang, Y.; Chen, Y.; Li, J. Biatrial enlargement as a predictor for reablation of atrial fibrillation. Int. J. Med. Sci. 2020, 17, 3031–3038. [Google Scholar] [CrossRef]
  13. Pirruccello, J.P.; Di Achille, P.; Choi, S.H.; Rämö, J.T.; Khurshid, S.; Nekoui, M.; Jurgens, S.J.; Nauffal, V.; Kany, S.; FinnGen, N.K.; et al. Deep learning of left atrial structure and function provides link to atrial fibrillation risk. Nat. Commun. 2024, 15, 4304. [Google Scholar] [CrossRef]
  14. Zhao, Y.; Wang, Y.; Hu, C.; Liu, Y.; Cheng, Y.; Chen, H.; Shu, X. Left atrial strain superior to structural remodeling in identifying occult atrial fibrillation. J. Clin. Ultrasound. 2023, 51, 1301–1307. [Google Scholar] [CrossRef]
  15. Karam, B.S.; Chavez-Moreno, A.; Koh, W.; Akar, J.G.; Akar, F.G. Oxidative stress and inflammation as central mediators of atrial fibrillation in obesity and diabetes. Cardiovasc. Diabetol. 2017, 16, 120. [Google Scholar] [CrossRef] [PubMed]
  16. Bizhanov, K.A.; Abzaliyev, K.B.; Baimbetov, A.K.; Sarsenbayeva, A.B.; Lyan, E. Atrial fibrillation: Epidemiology, pathophysiology, and clinical complications (literature review). J. Cardiovasc. Electrophysiol. 2023, 34, 153–165. [Google Scholar] [CrossRef] [PubMed]
  17. Matsunaga-Lee, Y.; Inoue, K.; Tanaka, N.; Masuda, M.; Watanabe, T.; Makino, N.; Egami, Y.; Oka, T.; Minamiguchi, H.; Miyoshi, M.; et al. Duration of atrial fibrillation persistence: Implications for recurrence risk after catheter ablation and efficacy of additional substrate ablation. Heart Rhythm. 2024, 21, 733–740. [Google Scholar] [CrossRef]
  18. Cacciapuoti, F.; Caso, I.; Crispo, S.; Verde, N.; Capone, V.; Gottilla, R.; Materazzi, C.; Volpicelli, M.; Ziviello, F.; Mauro, C.; et al. Linking Epicardial Adipose Tissue to Atrial Remodeling: Clinical Implications of Strain Imaging. Hearts 2025, 6, 3. [Google Scholar] [CrossRef]
  19. Hoit, B.D. Left Atrial Reservoir Strain: Its Time Has Come. JACC Cardiovasc. Imaging 2022, 15, 392–394. [Google Scholar] [CrossRef]
  20. Pathan, F.; D’ELia, N.; Nolan, M.T.; Marwick, T.H.; Negishi, K. Normal Ranges of Left Atrial Strain by Speckle-Tracking Echocardiography: A Systematic Review and Meta-Analysis. J. Am. Soc. Echocardiogr. 2017, 30, 59–70.e8. [Google Scholar] [CrossRef]
  21. Mirza, M.; Caracciolo, G.; Khan, U.; Mori, N.; Saha, S.K.; Srivathsan, K.; Altemose, G.; Scott, L.; Sengupta, P.; Jahangir, A. Left atrial reservoir function predicts atrial fibrillation recurrence after catheter ablation: A two-dimensional speckle strain study. J. Interv. Card. Electrophysiol. 2011, 31, 197–206. [Google Scholar] [CrossRef]
  22. Müller, P.; Weijs, B.; Bemelmans, N.M.A.A.; Mügge, A.; Eckardt, L.; Crijns, H.J.G.M.; Bax, J.J.; Linz, D.; den Uijl, D.W. Echocardiography-derived total atrial conduction time (PA-TDI duration): Risk stratification and guidance in atrial fibrillation management. Clin. Res. Cardiol. 2021, 110, 1734–1742. [Google Scholar] [CrossRef]
  23. Karantoumanis, I.; Doundoulakis, I.; Zafeiropoulos, S.; Oikonomou, K.; Makridis, P.; Pliakos, C.; Karvounis, H.; Giannakoulas, G. Atrial conduction time associated predictors of recurrent atrial fibrillation. Int. J. Cardiovasc. Imaging. 2021, 37, 1267–1277. [Google Scholar] [CrossRef]
  24. Weijs, B.; de Vos, C.B.; Tieleman, R.G.; Pisters, R.; Cheriex, E.C.; Prins, M.H.; Crijns, H.J. Clinical and echocardiographic correlates of intra-atrial conduction delay. Europace 2011, 13, 1681–1687. [Google Scholar] [CrossRef]
  25. Thadani, S.R.; Shaw, R.E.; Fang, Q.; Whooley, M.A.; Schiller, N.B. Left Atrial End-Diastolic Volume Index as a Predictor of Cardiovascular Outcomes: The Heart and Soul Study. Circ. Cardiovasc. Imaging. 2020, 13, e009746. [Google Scholar] [CrossRef] [PubMed]
  26. Chollet, L.; Iqbal, S.U.R.; Wittmer, S.; Thalmann, G.; Madaffari, A.; Kozhuharov, N.; Galuszka, O.; Küffer, T.; Gräni, C.; Brugger, N.; et al. Impact of atrial fibrillation phenotype and left atrial volume on outcome after pulmonary vein isolation. Europace 2024, 26, euae071. [Google Scholar] [CrossRef] [PubMed]
  27. Lage, J.G.B.; Bortolotto, A.L.; Scanavacca, M.I.; Bortolotto, L.A.; Darrieux, F.C.D.C. Arterial stiffness and atrial fibrillation: A review. Clinics 2022, 77, 100014. [Google Scholar] [CrossRef]
  28. Khurram, I.M.; Maqbool, F.; Berger, R.D.; Marine, J.E.; Spragg, D.D.; Ashikaga, H.; Zipunnikov, V.; Kass, D.A.; Calkins, H.; Nazarian, S.; et al. Association Between Left Atrial Stiffness Index and Atrial Fibrillation Recurrence in Patients Undergoing Left Atrial Ablation. Circ. Arrhythm. Electrophysiol. 2016, 9, e003163. [Google Scholar] [CrossRef]
  29. Arques, S.; Roux, E.; Luccioni, R. Current clinical applications of spectral tissue Doppler echocardiography (E/E′ ratio) as a noninvasive surrogate for left ventricular diastolic pressures in the diagnosis of heart failure with preserved left ventricular systolic function. Cardiovasc. Ultrasound 2007, 5, 16. [Google Scholar] [CrossRef]
  30. Obokata, M.; Reddy, Y.N.V.; Borlaug, B.A. Diastolic Dysfunction and Heart Failure with Preserved Ejection Fraction: Understanding Mechanisms by Using Noninvasive Methods. JACC Cardiovasc. Imaging 2020, 13, 245–257. [Google Scholar] [CrossRef] [PubMed]
  31. Arques, S. Clinical Relevance of the Spectral Tissue Doppler E/e′ Ratio in the Management of Patients with Atrial Fibrillation: A Comprehensive Review of the Literature. J. Atr. Fibrillation 2018, 11, 2038. [Google Scholar] [CrossRef]
  32. Gold, A.K.; Kiefer, J.J.; Feinman, J.W.; Augoustides, J.G. Left Atrial Strain-A Valuable Window on Left Ventricular Diastolic Function. J. Cardiothorac. Vasc. Anesth. 2021, 35, 1626–1627. [Google Scholar] [CrossRef]
  33. Morris, D.A.; Takeuchi, M.; Krisper, M.; Köhncke, C.; Bekfani, T.; Carstensen, T.; Hassfeld, S.; Dorenkamp, M.; Otani, K.; Takigiku, K.; et al. Normal values and clinical relevance of left atrial myocardial function analysed by speckle-tracking echocardiography: Multicentre study. Eur. Heart J. Cardiovasc. Imaging 2015, 16, 364–372. [Google Scholar] [CrossRef] [PubMed]
  34. Morris, D.A.; Takeuchi, M.; Krisper, M.; Köhncke, C.; Bekfani, T.; Carstensen, T.; Hassfeld, S.; Dorenkamp, M.; Otani, K.; Takigiku, K.; et al. Left atrial sphericity in relation to atrial strain and strain rate in atrial fibrillation patients. Int. J. Cardiovasc. Imaging 2023, 39, 1753–1763. [Google Scholar] [CrossRef]
  35. Lisi, M.; Mandoli, G.E.; Cameli, M.; Pastore, M.C.; Righini, F.M.; Benfari, G.; Rubboli, A.; D’Ascenzi, F.; Focardi, M.; Tsioulpas, C.; et al. Left atrial strain by speckle tracking predicts atrial fibrosis in patients undergoing heart transplantation. Eur. Heart J. Cardiovasc. Imaging 2022, 23, 829–835. [Google Scholar] [CrossRef]
  36. Laish-Farkash, A.; Perelshtein Brezinov, O.; Valdman, A.; Tam, D.; Rahkovich, M.; Kogan, Y.; Marincheva, G. Evaluation of left atrial remodeling by 2D-speckle-tracking echocardiography versus by high-density voltage mapping in patients with atrial fibrillation. J. Cardiovasc. Electrophysiol. 2021, 32, 305–315. [Google Scholar] [CrossRef] [PubMed]
  37. Kanda, T.; Masuda, M.; Asai, M.; Iida, O.; Okamoto, S.; Ishihara, T.; Nanto, K.; Tsujimura, T.; Matsuda, Y.; Hata, Y.; et al. Extensive Left Atrial Low-Voltage Area During Initial Ablation is Associated with A Poor Clinical Outcome Even Following Multiple Procedures. J. Atr. Fibrillation 2021, 14, 20200491. [Google Scholar] [CrossRef] [PubMed]
  38. Müller, P.; Schiedat, F.; Bialek, A.; Bösche, L.; Ewers, A.; Kara, K.; Dietrich, J.W.; Mügge, A.; Deneke, T. Total atrial conduction time assessed by tissue doppler imaging (PA-TDI Interval) to predict early recurrence of persistent atrial fibrillation after successful electrical cardioversion. J. Cardiovasc. Electrophysiol. 2014, 25, 161–167. [Google Scholar] [CrossRef]
  39. Miragoli, M.; Glukhov, A.V. Atrial Fibrillation and Fibrosis: Beyond the Cardiomyocyte Centric View. Biomed. Res. Int. 2015, 2015, 798768. [Google Scholar] [CrossRef]
  40. Beyer, C.; Tokarska, L.; Stühlinger, M.; Feuchtner, G.; Hintringer, F.; Honold, S.; Fiedler, L.; Schönbauer, M.S.; Schönbauer, R.; Plank, F. Structural Cardiac Remodeling in Atrial Fibrillation. JACC Cardiovasc. Imaging 2021, 14, 2199–2208. [Google Scholar] [CrossRef]
  41. Yoon, Y.E.; Kim, H.J.; Kim, S.A.; Kim, S.H.; Park, J.H.; Park, K.H.; Choi, S.; Kim, M.K.; Kim, H.S.; Cho, G.Y. Left atrial mechanical function and stiffness in patients with paroxysmal atrial fibrillation. J. Cardiovasc. Ultrasound 2012, 20, 140–145. [Google Scholar] [CrossRef]
  42. Masuda, M.; Fujita, M.; Iida, O.; Okamoto, S.; Ishihara, T.; Nanto, K.; Kanda, T.; Sunaga, A.; Tsujimura, T.; Matsuda, Y.; et al. An E/e′ ratio on echocardiography predicts the existence of left atrial low-voltage areas and poor outcomes after catheter ablation for atrial fibrillation. Europace 2018, 20, e60–e68. [Google Scholar] [CrossRef] [PubMed]
  43. Nielsen, A.B.; Skaarup, K.G.; Djernæs, K.; Hauser, R.; San José Estépar, R.; Sørensen, S.K.; Ruwald, M.H.; Hansen, M.L.; Worck, R.H.; Johannessen, A.; et al. Left atrial contractile strain predicts recurrence of atrial tachyarrhythmia after catheter ablation. Int. J. Cardiol. 2022, 358, 51–57. [Google Scholar] [CrossRef] [PubMed]
  44. Strisciuglio, T.; El Haddad, M.; Debonnaire, P.; De Pooter, J.; Demolder, A.; Wolf, M.; Phlips, T.; Kyriakopoulou, M.; Almorad, A.; Knecht, S.; et al. Paroxysmal atrial fibrillation with high vs. low arrhythmia burden: Atrial remodelling and ablation outcome. Europace 2020, 22, 1189–1196. [Google Scholar] [CrossRef]
  45. Barletta, V.; Canu, A.M.; Parollo, M.; Di Cori, A.; Segreti, L.; De Lucia, R.; Bongiorni, M.G.; Zucchelli, G. A Long Atrial Electromechanical Interval is Associated with Arrhythmic Recurrence after Catheter Ablation: How to Find What Has Been Lost. J. Cardiovasc. Echogr. 2024, 34, 125–131. [Google Scholar] [CrossRef]
  46. Bajraktari, G.; Bytyçi, I.; Henein, M.Y. Left atrial structure and function predictors of recurrent fibrillation after catheter ablation: A systematic review and meta-analysis. Clin. Physiol. Funct. Imaging 2020, 40, 1–13. [Google Scholar] [CrossRef]
  47. Correia, E.T.d.O.; Barbetta, L.M.d.S.; da Silva, O.M.P.; Mesquita, E.T. Left Atrial Stiffness: A Predictor of Atrial Fibrillation Recurrence after Radiofrequency Catheter Ablation—A Systematic Review and Meta-Analysis. Arq. Bras. Cardiol. 2019, 112, 501–508. [Google Scholar] [CrossRef] [PubMed]
  48. Lin, J.; Ma, H.; Gao, L.; Wang, Y.; Wang, J.; Zhu, Z.; Pang, K.; Wang, H.; Wu, W. Left atrial reservoir strain combined with E/E′ as a better single measure to predict elevated LV filling pressures in patients with coronary artery disease. Cardiovasc. Ultrasound 2020, 18, 11. [Google Scholar] [CrossRef]
  49. Chahine, Y.; Chamoun, N.; Kassar, A.; Bockus, L.; Macheret, F.; Akoum, N. Atrial fibrillation substrate and impaired left atrial function: A cardiac MRI study. Europace 2024, 26, euae258. [Google Scholar] [CrossRef]
  50. Samaras, A.; Doundoulakis, I.; Antza, C.; Zafeiropoulos, S.; Farmakis, I.; Tzikas, A. Comparative Analysis of Risk Stratification Scores in Atrial Fibrillation. Curr. Pharm. Des. 2021, 27, 1298–1310. [Google Scholar] [CrossRef] [PubMed]
  51. Wijesurendra, R.S.; Casadei, B. Mechanisms of atrial fibrillation. Heart 2019, 105, 1860–1867. [Google Scholar] [CrossRef] [PubMed]
  52. Stefani, L.D.; Trivedi, S.J.; Ferkh, A.; Altman, M.; Thomas, L. Changes in left atrial phasic strain and mechanical dispersion: Effects of age and gender. Echocardiography 2021, 38, 417–426. [Google Scholar] [CrossRef]
  53. Chiotis, S.; Doundoulakis, I.; Pagkalidou, E.; Piperis, C.; Zafeiropoulos, S.; Botis, M.; Haidich, A.B.; Economou, F.; Chierchia, G.B.; de Asmundis, C.; et al. Total Atrial Conduction Time as a Predictor of Atrial Fibrillation Recurrence: A Systematic Review and Meta-Analysis. Cardiol. Rev. 2025, 33, 70–76. [Google Scholar] [CrossRef] [PubMed]
  54. Parajuli, P.; Alahmadi, M.H.; Ahmed, A.A. Left Atrial Enlargement. In StatPearls; StatPearls Publishing: Treasure Island, FL, USA, 2025. [Google Scholar]
  55. Pilichowska-Paszkiet, E.; Baran, J.; Sygitowicz, G.; Sikorska, A.; Stec, S.; Kułakowski, P.; Zaborska, B. Noninvasive assessment of left atrial fibrosis. Correlation between echocardiography, biomarkers, and electroanatomical mapping. Echocardiography 2018, 35, 1326–1334. [Google Scholar] [CrossRef]
  56. Kiliszek, M.; Uziębło-Życzkowska, B.; Krzyżanowski, K.; Jurek, A.; Wierzbowski, R.; Smalc-Stasiak, M.; Krzesiński, P. Value of Left Atrial Strain in Predicting Recurrence after Atrial Fibrillation Ablation. J. Clin. Med. 2023, 12, 4034. [Google Scholar] [CrossRef]
  57. Lang, R.M.; Badano, L.P.; Mor-Avi, V.; Afilalo, J.; Armstrong, A.; Ernande, L.; Flachskampf, F.A.; Foster, E.; Goldstein, S.A.; Kuznetsova, T.; et al. Recommendations for cardiac chamber quantification by echocardiography in adults: An update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging. J. Am. Soc. Echocardiogr. 2015, 28, 1–39.e14. [Google Scholar] [CrossRef]
  58. Chahine, Y.; Macheret, F.; Ordovas, K.; Kim, J.; Boyle, P.M.; Akoum, N. MRI-quantified left atrial epicardial adipose tissue predicts atrial fibrillation recurrence following catheter ablation. Front. Cardiovasc. Med. 2022, 9, 1045742. [Google Scholar] [CrossRef] [PubMed]
  59. Dell’Aversana, F.; Tuccillo, R.; Monfregola, A.; De Angelis, L.; Ferrandino, G.; Tedeschi, C.; Cacciapuoti, F.; Tamburro, F.; Liguori, C. Epicardial Adipose Tissue Volume Assessment in the General Population and CAD-RADS 2.0 Score Correlation Using Dual Source Cardiac CT. Diagnostics 2025, 15, 681. [Google Scholar] [CrossRef]
Figure 1. Left Atrial Reservoir Strain (LASr) and Left Atrial Contractile Strain (LASct) measurement in a healthy subject.
Figure 1. Left Atrial Reservoir Strain (LASr) and Left Atrial Contractile Strain (LASct) measurement in a healthy subject.
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Figure 2. PA-TDI measurement in a healthy subject. Assessing left atrial mechanical function.
Figure 2. PA-TDI measurement in a healthy subject. Assessing left atrial mechanical function.
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Figure 3. Left atrial volume measurement using Simpson’s biplane method.
Figure 3. Left atrial volume measurement using Simpson’s biplane method.
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Figure 4. Pearson correlation heatmap of EASE score parameters. LASr demonstrates a strong negative correlation with the stiffness index (r = −0.72), while other parameters such as PA-TDI, LAVI, and LASct show relatively weak correlations, supporting the additive and non-redundant value of each component.
Figure 4. Pearson correlation heatmap of EASE score parameters. LASr demonstrates a strong negative correlation with the stiffness index (r = −0.72), while other parameters such as PA-TDI, LAVI, and LASct show relatively weak correlations, supporting the additive and non-redundant value of each component.
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Figure 5. Electroanatomical voltage map of the left atrium showing extensive low-voltage areas (purple), indicative of atrial fibrosis and remodeling consistent with high EASE score risk.
Figure 5. Electroanatomical voltage map of the left atrium showing extensive low-voltage areas (purple), indicative of atrial fibrosis and remodeling consistent with high EASE score risk.
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Figure 6. Kaplan–Meier curve showing arrhythmia-free survival stratified by EASE score categories (low: 0–3, intermediate: 4–7, high: 8–12).
Figure 6. Kaplan–Meier curve showing arrhythmia-free survival stratified by EASE score categories (low: 0–3, intermediate: 4–7, high: 8–12).
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Table 1. EASE score risk categories and clinical interpretation. Stratifies patients into low, intermediate, or high risk of atrial fibrillation recurrence based on the extent of atrial remodeling.
Table 1. EASE score risk categories and clinical interpretation. Stratifies patients into low, intermediate, or high risk of atrial fibrillation recurrence based on the extent of atrial remodeling.
EASE ScoreRisk CategoryInterpretation
0–3LowMinimal atrial remodeling; high likelihood of ablation success
4–8IntermediateModerate remodeling; variable outcomes; consider enhanced monitoring
9–12HighExtensive remodeling; increased risk of recurrence; consider adjunctive strategies
Table 2. Pathophysiological and electrophysiological correlates of EASE score parameters. Each metric reflects a distinct aspect of atrial remodeling with corresponding electrophysiologic features relevant to ablation outcomes.
Table 2. Pathophysiological and electrophysiological correlates of EASE score parameters. Each metric reflects a distinct aspect of atrial remodeling with corresponding electrophysiologic features relevant to ablation outcomes.
EASE ParameterPathophysiological RoleElectrophysiological Correlate
LASr (Reservoir Strain)Reflects LA compliance and fibrosis; lower values indicate impaired reservoir functionCorresponds to low-voltage zones (<0.5 mV), reduced CFAE density, and fibrotic substrate
PA-TDI (Atrial Conduction Time)Indicates intra-atrial conduction delay and electromechanical dysfunctionAssociated with prolonged activation time, interatrial dyssynchrony, and zig-zag conduction
LAVI (Volume Index)Indicates chronic structural remodeling and LA dilation due to volume/pressure overloadCorrelates with widespread CFAEs, multiple breakthrough sites, and complex activation patterns
E/e′ (Diastolic Pressure Estimate)Reflects elevated LV filling pressure and LA pressure overloadAssociated with prolonged electrogram duration, low voltage density, and post-ablation recurrence
Stiffness Index (E/e′/LASr)Integrates diastolic burden and atrial compliance; higher values reflect stiffer LAOverlaps with fragmented potentials, conduction heterogeneity, and low-voltage regions
LASct (Contractile Strain)Reflects active LA contraction; low values indicate poor contractile functionPredictive of atrial standstill, late potentials loss, and reduced sinus rhythm maintenance post-ablation
Table 3. Baseline demographic and clinical characteristics of the study population. Continuous variables are presented as mean ± standard deviation (SD) or median with interquartile range (IQR).
Table 3. Baseline demographic and clinical characteristics of the study population. Continuous variables are presented as mean ± standard deviation (SD) or median with interquartile range (IQR).
VariableValue
Age, years (mean ± SD)64.3 ± 9.4
Sex, male (%)75 (68.0%)
Hypertension (%)68 (55.5%)
Diabetes mellitus (%)22 (21.9%)
BMI, kg/m2 (mean ± SD)27.2 ± 3.0
LA Volume Index, mL/m2 (mean ± SD)34.2 ± 5.4
E/e′ ratio (mean ± SD)9.0 ± 2.1
Follow-up duration, months (median (IQR))14 [11–18]
EASE score—Low (0–3)38 (29.7%)
EASE score—Intermediate (4–7)61 (47.7%)
EASE score—High (8–12)29 (22.6%)
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Cacciapuoti, F.; Caso, I.; Gottilla, R.; Minicucci, F.; Volpicelli, M.; Caso, P. Left Atrial Mechanics and Remodeling in Paroxysmal Atrial Fibrillation: Introducing the EASE Score for Pre-Ablation Risk Prediction. Med. Sci. 2025, 13, 131. https://doi.org/10.3390/medsci13030131

AMA Style

Cacciapuoti F, Caso I, Gottilla R, Minicucci F, Volpicelli M, Caso P. Left Atrial Mechanics and Remodeling in Paroxysmal Atrial Fibrillation: Introducing the EASE Score for Pre-Ablation Risk Prediction. Medical Sciences. 2025; 13(3):131. https://doi.org/10.3390/medsci13030131

Chicago/Turabian Style

Cacciapuoti, Fulvio, Ilaria Caso, Rossella Gottilla, Fabio Minicucci, Mario Volpicelli, and Pio Caso. 2025. "Left Atrial Mechanics and Remodeling in Paroxysmal Atrial Fibrillation: Introducing the EASE Score for Pre-Ablation Risk Prediction" Medical Sciences 13, no. 3: 131. https://doi.org/10.3390/medsci13030131

APA Style

Cacciapuoti, F., Caso, I., Gottilla, R., Minicucci, F., Volpicelli, M., & Caso, P. (2025). Left Atrial Mechanics and Remodeling in Paroxysmal Atrial Fibrillation: Introducing the EASE Score for Pre-Ablation Risk Prediction. Medical Sciences, 13(3), 131. https://doi.org/10.3390/medsci13030131

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