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1,679 results on '"Marrouche, Nassir"'

1. Direct-to-catheter ablation versus second line catheter ablation for persistent atrial fibrillation: Effect on arrhythmia recurrence, AF burden, early left atrium remodeling and quality of life

Author

Younes, Hadi, Ademi, Besim, Tsakiris, Eli, Feng, Han, Pandey, Amitabh C., Mekhael, Mario, Noujaim, Charbel, Lim, Chanho, Dagher, Lilas, Hajjar, Abdel Hadi El, Bidaoui, Ghassan, Bsoul, Mayana, Assaf, Ala, Rao, Swati, Mahnkopf, Christian, Shamaileh, Ghaith, Kreidieh, Omar, Hassan, Abboud, Liu, Yinshuo, Jia, Yishi, Polo, Francisco T., Marrouche, Nassir F., and Donnellan, Eoin

Published
2024
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2. Sex-specific outcomes and left atrial remodeling following catheter ablation of persistent atrial fibrillation: results from the DECAAF II trial

Author

Younes, Hadi, Sohns, Christian, Akoum, Nazem, Feng, Han, Tsakiris, Eli, Hajjar, Abdel Hadi El, Donnellan, Eoin, Pandey, Amitabh C., Lim, Chanho, Bidaoui, Ghassan, Mekhael, Mario, Noujeim, Charbel, Chouman, Nour, Assaf, Ala, Shamaileh, Ghaith, Polo, Francisco Tirado, Bsoul, Mayana, Dagher, Lilas, Kreidieh, Omar, Rao, Swati, Sommer, Philipp, Forkmann, Mathias, Brachmann, Johannes, Marrouche, Nassir, and Mahnkopf, Christian

Published
2024
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3. FBA-Net: Foreground and Background Aware Contrastive Learning for Semi-Supervised Atrium Segmentation

Author

Chung, Yunsung, Lim, Chanho, Huang, Chao, Marrouche, Nassir, and Hamm, Jihun

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Medical image segmentation of gadolinium enhancement magnetic resonance imaging (GE MRI) is an important task in clinical applications. However, manual annotation is time-consuming and requires specialized expertise. Semi-supervised segmentation methods that leverage both labeled and unlabeled data have shown promise, with contrastive learning emerging as a particularly effective approach. In this paper, we propose a contrastive learning strategy of foreground and background representations for semi-supervised 3D medical image segmentation (FBA-Net). Specifically, we leverage the contrastive loss to learn representations of both the foreground and background regions in the images. By training the network to distinguish between foreground-background pairs, we aim to learn a representation that can effectively capture the anatomical structures of interest. Experiments on three medical segmentation datasets demonstrate state-of-the-art performance. Notably, our method achieves a Dice score of 91.31% with only 20% labeled data, which is remarkably close to the 91.62% score of the fully supervised method that uses 100% labeled data on the left atrium dataset. Our framework has the potential to advance the field of semi-supervised 3D medical image segmentation and enable more efficient and accurate analysis of medical images with a limited amount of annotated labels., Comment: 11 pages, 2 figures

Published
2023

6. Women Trainees in Electrophysiology and the Effect of Role Models

Author

Baykaner, Tina, Greif, Shana, Vajapey, Ramya S., Albert, Christine M., Aziz, Zaid, Badhwar, Nitish, Bunch, T. Jared, Cheung, Jim W., Chrispin, Jonathan, Chung, Mina K., Clopton, Paul, Cooper, Daniel H., Cooper, Joshua M., Costea, Alexandru, Huang, Henry D., Hurwitz, Jodie L., Jankelson, Lior, Kapoor, Ridhima, Kroman, Anne, Latchamsetty, Rakesh, Liang, Jackson J., Mansour, Moussa, Marrouche, Nassir F., Merchant, Faisal M., Miller, John M., Mountantonakis, Stavros, Piccini, Jonathan P., Russo, Andrea M., Steinberg, Benjamin A., Tedrow, Usha, Tzou, Wendy S., Wan, Elaine Y., Wang, Paul J., and Han, Janet K.

Published
2024
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7. Prognosis of patients in end-stage heart failure with atrial fibrillation treated with ablation: Insights from CASTLE-HTx

Author

Moersdorf, Maximilian, Tijssen, Jan G.P., Marrouche, Nassir F., Crijns, Harry J.G.M., Costard-Jaeckle, Angelika, Bergau, Leonard, Hindricks, Gerhard, Dagres, Nikolaos, Sossalla, Samuel, Schramm, Rene, Fox, Henrik, Fink, Thomas, El Hamriti, Mustapha, Sciacca, Vanessa, Konietschke, Frank, Rudolph, Volker, Gummert, Jan, Sommer, Philipp, and Sohns, Christian

Published
2024
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10. Lesion delivery and scar formation in catheter ablation for atrial fibrillation: The DECAAF II trial

Author

Akoum, Nazem, Mekhael, Mario, Bisbal, Felipe, Wazni, Oussama, McGann, Christopher, Lee, Hyejung, Bardsley, Tyler, Greene, Tom, Dean, J. Michael, Dagher, Lilas, Kholmovski, Eugene, Mansour, Moussa, Marchlinski, Francis, Wilber, David, Hindricks, Gerhard, Mahnkopf, Christian, Wells, Darryl, Jaïs, Pierre, Sanders, Prashanthan, Brachmann, Johannes, Bax, Jeroen J., Morrison-de Boer, Leonie, Deneke, Thomas, Calkins, Hugh, Sohns, Christian, and Marrouche, Nassir

Published
2024
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11. Benchmarking off-the-shelf statistical shape modeling tools in clinical applications

Author

Goparaju, Anupama, Bone, Alexandre, Hu, Nan, Henninger, Heath B., Anderson, Andrew E., Durrleman, Stanley, Jacxsens, Matthijs, Morris, Alan, Csecs, Ibolya, Marrouche, Nassir, and Elhabian, Shireen Y.

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Statistical shape modeling (SSM) is widely used in biology and medicine as a new generation of morphometric approaches for the quantitative analysis of anatomical shapes. Technological advancements of in vivo imaging have led to the development of open-source computational tools that automate the modeling of anatomical shapes and their population-level variability. However, little work has been done on the evaluation and validation of such tools in clinical applications that rely on morphometric quantifications (e.g., implant design and lesion screening). Here, we systematically assess the outcome of widely used, state-of-the-art SSM tools, namely ShapeWorks, Deformetrica, and SPHARM-PDM. We use both quantitative and qualitative metrics to evaluate shape models from different tools. We propose validation frameworks for anatomical landmark/measurement inference and lesion screening. We also present a lesion screening method to objectively characterize subtle abnormal shape changes with respect to learned population-level statistics of controls. Results demonstrate that SSM tools display different levels of consistencies, where ShapeWorks and Deformetrica models are more consistent compared to models from SPHARM-PDM due to the groupwise approach of estimating surface correspondences. Furthermore, ShapeWorks and Deformetrica shape models are found to capture clinically relevant population-level variability compared to SPHARM-PDM models., Comment: 22 pages, 22 figures

Published
2020

14. Smartphone AF Burden During the Blanking Period Predicts Catheter Ablation Outcomes: Insights From DECAAF II

Author

Noujaim, Charbel, Lim, Chanho, Donnellan, Eoin, Mekhael, Mario, Zhao, Cong, Shan, Botao, Hadi el Hajjar, Abdel, Chouman, Nour, Assaf, Ala, Feng, Han, Younes, Hadi, Kreidieh, Omar, Berouti, Emilia, He, Hua, Li, Dan, Lanier, Brennan, Nelson, Daniel, Dhore-patil, Aneesh, Ayoub, Tarek, Huang, Chao, Chelu, Mihail G., and Marrouche, Nassir F.

Published
2023
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15. Mixture Modeling of Global Shape Priors and Autoencoding Local Intensity Priors for Left Atrium Segmentation

Author

Sodergren, Tim, Bhalodia, Riddhish, Whitaker, Ross, Cates, Joshua, Marrouche, Nassir, and Elhabian, Shireen

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Computational Geometry, Computer Science - Machine Learning, Statistics - Machine Learning
Abstract

Difficult image segmentation problems, for instance left atrium MRI, can be addressed by incorporating shape priors to find solutions that are consistent with known objects. Nonetheless, a single multivariate Gaussian is not an adequate model in cases with significant nonlinear shape variation or where the prior distribution is multimodal. Nonparametric density estimation is more general, but has a ravenous appetite for training samples and poses serious challenges in optimization, especially in high dimensional spaces. Here, we propose a maximum-a-posteriori formulation that relies on a generative image model by incorporating both local intensity and global shape priors. We use deep autoencoders to capture the complex intensity distribution while avoiding the careful selection of hand-crafted features. We formulate the shape prior as a mixture of Gaussians and learn the corresponding parameters in a high-dimensional shape space rather than pre-projecting onto a low-dimensional subspace. In segmentation, we treat the identity of the mixture component as a latent variable and marginalize it within a generalized expectation-maximization framework. We present a conditional maximization-based scheme that alternates between a closed-form solution for component-specific shape parameters that provides a global update-based optimization strategy, and an intensity-based energy minimization that translates the global notion of a nonlinear shape prior into a set of local penalties. We demonstrate our approach on the left atrial segmentation from gadolinium-enhanced MRI, which is useful in quantifying the atrial geometry in patients with atrial fibrillation., Comment: Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges 2019

Published
2019

16. Does early detection of atrial fibrillation reduce the risk of thromboembolic events? Rationale and design of the Heartline study

Author

Gibson, C. Michael, Steinhubl, Steven, Lakkireddy, Dhanunjaya, Turakhia, Mintu P., Passman, Rod, Jones, W. Schuyler, Bunch, T. Jared, Curtis, Anne B., Peterson, Eric D., Ruskin, Jeremy, Saxon, Leslie, Tarino, Michael, Tarakji, Khaldoun G., Marrouche, Nassir, Patel, Mithun, Harxhi, Ante, Kaul, Simrati, Nikolovski, Janeta, Juan, Stephanie, Wildenhaus, Kevin, Damaraju, C.V., and Spertus, John A.

Published
2023
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21. Abstract 12367: Sex-Specific Differences in Quality of Life and Atrial Fibrillation Recurrence Following Ablation of Persistent Atrial Fibrillation: Insights From the DECAAF II Trial

Author

Younes, Hadi, Feng, Han, Sohns, Christian, Forkmann, Mathias, Noujaim, Charbel, Mekhael, Mario, Assaf, Alaʼ, Chouman, Nour, Kreidieh, Omar, huang, chao, Lim, Chanho, El Hajjar, Abdel Hadi, donnellan, eoin, Pandey, Amitabh C, Marrouche, Nassir, and mahnkopf, christian

Published
2023
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22. Abstract 12357: Investigating Sex-Specific Factors Influencing Atrial Fibrillation Burden in Patients With Persistent Atrial Fibrillation: A DECAAF II Subanalysis

Author

Younes, Hadi, Feng, Han, Sohns, Christian, Forkmann, Mathias, Mekhael, Mario, Noujaim, Charbel, Chouman, Nour, Assaf, Alaʼ, Lim, Chanho, Dagher, Lilas, huang, chao, El Hajjar, Abdel Hadi, donnellan, eoin, Kreidieh, Omar, Pandey, Amitabh C, Marrouche, Nassir, and mahnkopf, christian

Published
2023
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24. On the Evaluation and Validation of Off-the-shelf Statistical Shape Modeling Tools: A Clinical Application

Author

Goparaju, Anupama, Csecs, Ibolya, Morris, Alan, Kholmovski, Evgueni, Marrouche, Nassir, Whitaker, Ross, and Elhabian, Shireen

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Statistical shape modeling (SSM) has proven useful in many areas of biology and medicine as a new generation of morphometric approaches for the quantitative analysis of anatomical shapes. Recently, the increased availability of high-resolution in vivo images of anatomy has led to the development and distribution of open-source computational tools to model anatomical shapes and their variability within populations with unprecedented detail and statistical power. Nonetheless, there is little work on the evaluation and validation of such tools as related to clinical applications that rely on morphometric quantifications for treatment planning. To address this lack of validation, we systematically assess the outcome of widely used off-the-shelf SSM tools, namely ShapeWorks, SPHARM-PDM, and Deformetrica, in the context of designing closure devices for left atrium appendage (LAA) in atrial fibrillation (AF) patients to prevent stroke, where an incomplete LAA closure may be worse than no closure. This study is motivated by the potential role of SSM in the geometric design of closure devices, which could be informed by population-level statistics, and patient-specific device selection, which is driven by anatomical measurements that could be automated by relating patient-level anatomy to population-level morphometrics. Hence, understanding the consequences of different SSM tools for the final analysis is critical for the careful choice of the tool to be deployed in real clinical scenarios. Results demonstrate that estimated measurements from ShapeWorks model are more consistent compared to models from Deformetrica and SPHARM-PDM. Furthermore, ShapeWorks and Deformetrica shape models capture clinically relevant population-level variability compared to SPHARM-PDM models., Comment: To Appear: ShapeMI Workshop: Workshop on Shape in Medical Imaging

Published
2018

25. Deep Learning for End-to-End Atrial Fibrillation Recurrence Estimation

Author

Bhalodia, Riddhish, Goparaju, Anupama, Sodergren, Tim, Morris, Alan, Kholmovski, Evgueni, Marrouche, Nassir, Cates, Joshua, Whitaker, Ross, and Elhabian, Shireen

Subjects
Computer Science - Machine Learning, Computer Science - Computer Vision and Pattern Recognition, Statistics - Machine Learning
Abstract

Left atrium shape has been shown to be an independent predictor of recurrence after atrial fibrillation (AF) ablation. Shape-based representation is imperative to such an estimation process, where correspondence-based representation offers the most flexibility and ease-of-computation for population-level shape statistics. Nonetheless, population-level shape representations in the form of image segmentation and correspondence models derived from cardiac MRI require significant human resources with sufficient anatomy-specific expertise. In this paper, we propose a machine learning approach that uses deep networks to estimate AF recurrence by predicting shape descriptors directly from MRI images, with NO image pre-processing involved. We also propose a novel data augmentation scheme to effectively train a deep network in a limited training data setting. We compare this new method of estimating shape descriptors from images with the state-of-the-art correspondence-based shape modeling that requires image segmentation and correspondence optimization. Results show that the proposed method and the current state-of-the-art produce statistically similar outcomes on AF recurrence, eliminating the need for expensive pre-processing pipelines and associated human labor., Comment: Presented at Computing in Cardiology (CinC) 2018

Published
2018

31. HRS White Paper on Clinical Utilization of Digital Health Technology

Author

Wan, Elaine Y., Ghanbari, Hamid, Akoum, Nazem, Itzhak Attia, Zachi, Asirvatham, Samuel J., Chung, Eugene H., Dagher, Lilas, Al-Khatib, Sana M., Stuart Mendenhall, G., McManus, David D., Pathak, Rajeev K., Passman, Rod S., Peters, Nicholas S., Schwartzman, David S., Svennberg, Emma, Tarakji, Khaldoun G., Turakhia, Mintu P., Trela, Anthony, Yarmohammadi, Hirad, and Marrouche, Nassir F.

Published
2021
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38. Towards Automated Quantification of Atrial Fibrosis in Images from Catheterized Fiber-Optics Confocal Microscopy Using Convolutional Neural Networks

Author

Huang, Chao, Wasmund, Stephen L., Yamaguchi, Takanori, Knighton, Nathan, Hitchcock, Robert W., Polejaeva, Irina A., White, Kenneth L., Marrouche, Nassir F., Sachse, Frank B., Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Coudière, Yves, editor, Ozenne, Valéry, editor, Vigmond, Edward, editor, and Zemzemi, Nejib, editor

Published
2019
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39. HRS/EHRA/APHRS/LAHRS/ACC/AHA worldwide practice update for telehealth and arrhythmia monitoring during and after a pandemic

Author

Varma, Niraj, Marrouche, Nassir F., Aguinaga, Luis, Albert, Christine M., Arbelo, Elena, Choi, Jong-Il, Chung, Mina K., Conte, Giulio, Dagher, Lilas, Epstein, Laurence M., Ghanbari, Hamid, Han, Janet K., Heidbuchel, Hein, Huang, He, Lakkireddy, Dhanunjaya R., Ngarmukos, Tachapong, Russo, Andrea M., Saad, Eduardo B., Saenz Morales, Luis C., Sandau, Kristin E., Sridhar, Arun Raghav M., Stecker, Eric C., and Varosy, Paul D.

Published
2020
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40. Survey of current perspectives on consumer-available digital health devices for detecting atrial fibrillation

Author

Ding, Eric Y., Svennberg, Emma, Wurster, Christina, Duncker, David, Manninger, Martin, Lubitz, Steven A., Dickson, Emily, Fitzgibbons, Timothy P., Akoum, Nazem, Al-Khatib, Sana M., Attia, Zachi I., Ghanbari, Hamid, Marrouche, Nassir F., Mendenhall, G. Stuart, Peters, Nicholas S., Tarakji, Khaldoun G., Turakhia, Mintu, Wan, Elaine Y., and McManus, David D.

Published
2020
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42. Venous Vascular Closure System Versus Manual Compression Following Multiple Access Electrophysiology Procedures: The AMBULATE Trial

Author

Natale, Andrea, Al-Ahmad, Amin M., Horton, Rodney Paul, Bailey, Shane M., Cardinal, Deborah S., Compton, Steven, Balaban, Krzysztof W., Rambur, Deidre, Mittal, Suneet, Preminger, Mark W., Musat, Dan Laurentiu, Sichrovsky, Tina Claudia, Bhatt, Advay G., Michel, Kimberly, DeLurgio, David B., Shah, Anand D., Kavtaradze, Nino, O'Neill, Padraig Gearoid, Allen, Shelley, Spear, William H., Duggal, Manoj, Braun, Diane, Han, Frederick T., Marrouche, Nassir F., Chelu, Mihail G., Rivera, Andrew M., Bunch, T. Jared, Weiss, Jonathan Peter, Day, John D., Crandall, Brian G., Cutler, Michael J., Allen, Meredith, Tung, Roderick, Beaser, Andrew D., Sarrafi, Shahram, Shah, Manish Hasmukh, Lee, Sung W., Fischer, Margaret Bell, Thomaides, Athanasios, Durrani, Sarfraz A.K., Strouse, David Abraham, Eldadah, Zayd A., Kim, Shine, Bashian, Gregory G., Borek, Przemyslaw Peter, Darby, James, Dukkipati, Srinivas Rao, Whang, William, Koruth, Jacob Sam, Miller, Marc A., Reddy, Vivek Y., Biondo, Felicia, Viswanathan, Mohan N., Magee, Sarah, Mohanty, Sanghamitra, Liu, P.Y., Al-Ahmad, Amin, De Lurgio, David B., Horton, Rodney, Spear, William, Bailey, Shane, Bunch, Jared, Musat, Dan, O’Neill, Padraig, and Turakhia, Mintu P.

Published
2020
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45. Transparent sharing of digital health data: A call to action

Author

Slotwiner, David J., Tarakji, Khaldoun G., Al-Khatib, Sana M., Passman, Rod S., Saxon, Leslie A., Peters, Nicholas S., McCall, Debbe, Turakhia, Mintu P., Schaeffer, Jill, Mendenhall, G. Stuart, Hindricks, Gerhard, Narayan, Sanjiv M., Davenport, Elizabeth E., and Marrouche, Nassir F.

Published
2019
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47. High-Power Radiofrequency Catheter Ablation of Atrial Fibrillation: Using Late Gadolinium Enhancement Magnetic Resonance Imaging as a Novel Index of Esophageal Injury

Author

Baher, Alex, Kheirkhahan, Mobin, Rechenmacher, Stephen J., Marashly, Qussay, Kholmovski, Eugene G., Siebermair, Johannes, Acharya, Madan, Aljuaid, Mossab, Morris, Alan K., Kaur, Gagandeep, Han, Frederick T., Wilson, Brent D., Steinberg, Benjamin A., Marrouche, Nassir F., and Chelu, Mihail G.

Published
2018
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48. Comprehensive atrial fibrillation burden and symptom reduction post-ablation: insights from DECAAF II.

Author

Noujaim, Charbel, Assaf, Ala, Lim, Chanho, Feng, Han, Younes, Hadi, Mekhael, Mario, Chouman, Nour, Shamaileh, Ghaith, Hajjar, Abdel Hadi El, Ayoub, Tarek, Isakadze, Nino, Chelu, Mihail G, Marrouche, Nassir, and Donnellan, Eoin

Abstract

Aims Traditional atrial fibrillation (AF) recurrence after catheter ablation is reported as a binary outcome. However, a paradigm shift towards a more granular definition, considering arrhythmic or symptomatic burden, is emerging. We hypothesize that ablation reduces AF burden independently of conventional recurrence status in patients with persistent AF, correlating with symptom burden reduction. Methods and results Ninety-eight patients with persistent AF from the DECAAF II trial with pre-ablation follow-up were included. Patients recorded daily single-lead electrocardiogram (ECG) strips, defining AF burden as the proportion of AF days among total submitted ECG days. The primary outcome was atrial arrhythmia recurrence. The AF severity scale was administered pre-ablation and at 12 months post-ablation. At follow-up, 69 patients had atrial arrhythmia recurrence and 29 remained in sinus rhythm. These patients were categorized into a recurrence (n = 69) and a no-recurrence group (n = 29). Both groups had similar baseline characteristics, but recurrence patients were older (P = 0.005), had a higher prevalence of hyperlipidaemia (P = 0.007), and had a larger left atrial (LA) volume (P = 0.01). There was a reduction in AF burden in the recurrence group when compared with their pre-ablation burden (65 vs. 15%, P < 0.0001). Utah Stage 4 fibrosis and diabetes predicted less improvement in AF burden. The symptom severity score at 12 months post-ablation was significantly reduced compared with the pre-ablation score in the recurrence group, and there was a significant correlation between the reduction in symptom severity score and the reduction in AF burden (R = 0.39, P = 0.001). Conclusion Catheter ablation reduces AF burden, irrespective of arrhythmia recurrence post-procedure. There is a strong correlation between AF burden reduction and symptom improvement post-ablation. Notably, elevated LA fibrosis impedes AF burden decrease following catheter ablation. [ABSTRACT FROM AUTHOR]

Published
2024
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49. One‐year outcomes of pulmonary vein isolation with a novel cryoballoon: Primary results of the FROZEN AF trial.

Author

Ellenbogen, Kenneth A., Mittal, Suneet, Varma, Niraj, Aryana, Arash, Marrouche, Nassir, Anić, Ante, Nair, Devi, Champagne, Jean, Iacopino, Saverio, de Asmundis, Carlo, Weiner, Stanislav, Makati, Kevin, Raybuck, Jonathan D., Richards, Elizabeth, and Su, Wilber

Subjects
PULMONARY veins, PATIENT safety, CLINICAL trials, CRYOSURGERY, TREATMENT effectiveness, DESCRIPTIVE statistics, LONGITUDINAL method, ATRIAL fibrillation, RESEARCH, CATHETER ablation, DATA analysis software
Abstract

Introduction: Cryoablation therapy for pulmonary vein isolation (PVI) to treat paroxysmal atrial fibrillation (PAF) is well established. A novel 28 mm cryoballoon system designed to operate under low pressure to safely reach a lower nadir temperature and maintain constant balloon size during cooling has not been prospectively studied in a large patient population for safety and efficacy. The FROZEN AF (NCT04133168) trial was an international multicenter, open‐label, prospective, single‐arm study on the safety and performance of a novel cryoballoon system for treatment of PAF. Methods and Results: The study enrolled patients at 44 sites in 10 countries across North America, Europe, and Asia. Subjects were indicated for PVI treatment of PAF and had failed or were intolerant of one or more antiarrhythmic drugs. Procedural outcomes were defined based on the 2017 HRS consensus statement. Follow‐up was performed at 7 days, 3, 6, and 12 months. Data are reported as mean ± SD or median (IQR). PVI was performed with a 28 mm cryoballoon in 325 drug refractory PAF patients. Complete PVI was achieved in 95.7% of patients. In cryoablation lesions longer than 60 s, 60.1% of PV isolations required only a single cryoballoon application. Procedure related complications included: phrenic nerve palsy [temporary 4 (1.2%), persistent 0 (0.0%)], cardiac tamponade/perforation 2 (0.6%), and air embolism 1 (0.3%). Freedom from documented atrial arrhythmia recurrence at 12 months was 79.9% (AF 82.7%, AFL 96.5%, AT 98.1%), antiarrhythmic drugs (AAD) were continued or re‐initiated in 26.8% of patients after the 3‐month blanking period. Additionally, an extension arm enrolled 50 pts for treatment with 28/31 mm variable size cryoballoon. A single temporary PNP occurred in this group, which resolved before discharge. Freedom from documented recurrence at 12 months in these pts was 82.0%. Conclusions: This novel cryoballoon may facilitate PVI to treat PAF, providing more options to address the variety of anatomies present in patients with PAF. This cryoballoon system proved to be safe and effective for treatment of patients with drug refractory or drug intolerant PAF. [ABSTRACT FROM AUTHOR]

Published
2024
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