Comparison of various tools for diagnosis of an atrial cardiomyopathy for outcome prediction after pulmonary vein isolation in patients with persistent atrial fibrillation - What is the Holy Grail?

• Published in: Europace (London, England) Vol. 25; no. Supplement_1
• Main Authors: Eichenlaub, M, Lehrmann, H, Minners, J, Schoechlin, S, Mueller-Edenborn, B, Jander, N, Allgeier, M, Allgeier, J, Bohnen, M, Neumann, F J, Trenk, D, Westermann, D, Arentz, T, Jadidi, A
• Format: Journal Article
• Language: English
• Published: US Oxford University Press 24-05-2023
• ISSN: 1099-5129; 1532-2092
• DOI: 10.1093/europace/euad122.645

Abstract
Funding Acknowledgements
Type of funding sources: Private company. Main funding source(s): Medtronic
Background
Atrial cardiomyopathy (ACM) is associated with an increased risk for new-onset atrial fibrillation (AF), progression from paroxysmal to persistent AF-forms and higher arrhythmia recurrence rates after PVI. Therefore, the current ESC guidelines on AF recommend to characterize the underlying ACM to better inform and treat AF patients. Over the past decade, various diagnostic tools were established to diagnose an ACM by analyzing left atrial (LA) structure, and LA electrical and mechanical function.
Aim
To compare head-to-head electroanatomical mapping (EAM) to assess LA low-voltage substrate (LVS), late gadolinium enhancement (LGE)-MRI to analyse LGE-extent, body surface electrocardiograpghic imaging (ECGI) to measure total atrial conduction time (TACT), digital ECG to analyse amplified p-wave duration (aPWD), and TTE to quantify LA emptying fraction (LA-EF) and LA strain (LAS) regarding ACM diagnosis and outcome prediction after PVI in a homogenous study population.
Methods
Thirty-six ablation-naive patients (65±9years, 86% male) with persistent AF undergoing PVI were electrically cardioverted prior to PVI and all analyses were performed in sinus rhythm. LGE-MRI, ECGI using a 252-electrode-array, digital ECG and TTE were conducted one day prior to PVI. Subsequently, a high-density LA voltage map (2124±490 sites) was acquired followed by circumferential PVI. MRI-post-processing-analyses were performed by two independent expert laboratories (Marrek for Utah and Adas3D medical for the image-intensity-ratio(IIR)-method). Analysis of aPWD and LAS during reservoir (LASr), conduit (LAScd) and contraction phase (LASct) were performed automatically. Arrhythmia recurrence was recorded within 12 months. Relevant ACM was defined as presence of a LA-LVS≥2cm2 at 0.5mV, a LGE-extent≥20% using the Utah method, a LA-EF<34%, a LASr<23.5%, a LAScd<13.4%, and a LASct<5.4% as described previously. For the IIR-, ECGI-, and automatically measured aPWD-methods, ROC analyses were performed to find the optimal threshold for diagnosis of a relevant ACM as defined in EAM (LA-LVS≥2cm2 at 0.5mV) due to a lack of a predefined threshold.
Results
A LGE-extent of ≥12% using an IIR cut-off of 1.20, a TACT≥148ms and an automatically measured aPWD≥140ms predicted a relevant ACM as defined in EAM with a sensitivity of 76% and a specificity of 60% for LGE IIR 1.20, a sensitivity of 95% and a specificity of 93% for TACT, and a sensitivity of 86% and a specificity of 80% for aPWD, respectively.
Arrhythmia recurrence was significantly higher in patients with a LA-LVS≥2cm2 at 0.5mV, a LGE-extent≥12% at 1.20IIR, a TACT≥148ms, an aPWD≥140ms, a LA-EF<34% and a LASct<5.4%.
Conclusion
ACM can be diagnosed using EAM, LGE-MRI, ECGI, ECG and TTE and is associated with an increased arrhythmia recurrence rate after PVI. However, only measurement of aPWD in digital ECG, and LA-EF and LAS in TTE are easy, cost-effective, non-invasive methods without any risk for complications.