Patient-specific flow simulation analysis to predict device-related thrombosis in left atrial appendage occluders

ABSTRACT Introduction and objectives: Left atrial appendage occlusion (LAAO) can be an efficient treatment to prevent strokes in patients who suffer from atrial fibrillation, especially those at risk of bleeding. A non-negligible number of patients treated with LAAO develop device-related thrombosis...

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Autores principales: Jordi Mill, Victor Agudelo, Chi Hion Li, Jerome Noailly, Xavier Freixa, Oscar Camara, Dabit Arzamendi
Formato: article
Lenguaje:EN
ES
Publicado: Permanyer 2021
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Acceso en línea:https://doaj.org/article/81b55de5e80046549cd1bcc99909b3d8
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spelling oai:doaj.org-article:81b55de5e80046549cd1bcc99909b3d82021-11-16T10:20:34ZPatient-specific flow simulation analysis to predict device-related thrombosis in left atrial appendage occluders10.24875/RECICE.M210002242604-7322https://doaj.org/article/81b55de5e80046549cd1bcc99909b3d82021-11-01T00:00:00Zhttps://recintervcardiol.org/en/index.php?option=com_content&view=article&id=690https://doaj.org/toc/2604-7322ABSTRACT Introduction and objectives: Left atrial appendage occlusion (LAAO) can be an efficient treatment to prevent strokes in patients who suffer from atrial fibrillation, especially those at risk of bleeding. A non-negligible number of patients treated with LAAO develop device-related thrombosis (DRT) after device implantation. Our study aimed to identify the key blood flow characteristics leading to DRT using patient-specific flow simulations. Methods: Patients treated with LAAO between 2014 and 2019 at a single center with preoperative and follow-up computerized tomography images and ultrasound imaging (US) were used to create patient-specific flow simulations. Amulet LAAO devices were implanted in the study patients. Flow simulations were blindly assessed to discard the presence of DRT in the follow-up imaging. Results: A total of 6 patients were processed in this pivotal study, half of them with DRT at the follow-up according to the imaging analysis. After a comprehensive analysis of the simulations, the most relevant in silico indices associated with DRT were the presence of stagnant blood flow, recirculation with low flow velocities (< 0.20 m/s) next to the device surface, and regions with high flow complexity combined with low wall shear stress. Conclusions: Patient-specific flow simulations of LAAO were successfully used to predict blood flow patterns with different device configurations. The results show the potential of the present modelling and simulation approach to recommend optimal settings capable of minimizing the risk of DRT.Jordi MillVictor AgudeloChi Hion LiJerome NoaillyXavier FreixaOscar CamaraDabit ArzamendiPermanyerarticleDevice-related thrombosis Flow simulation Left atrial appendage occlusion Patient-specificMedicineRENESREC: Interventional Cardiology (English Ed.), Vol 3, Iss 4, Pp 278-285 (2021)
institution DOAJ
collection DOAJ
language EN
ES
topic Device-related thrombosis
Flow simulation
Left atrial appendage occlusion
Patient-specific
Medicine
R
spellingShingle Device-related thrombosis
Flow simulation
Left atrial appendage occlusion
Patient-specific
Medicine
R
Jordi Mill
Victor Agudelo
Chi Hion Li
Jerome Noailly
Xavier Freixa
Oscar Camara
Dabit Arzamendi
Patient-specific flow simulation analysis to predict device-related thrombosis in left atrial appendage occluders
description ABSTRACT Introduction and objectives: Left atrial appendage occlusion (LAAO) can be an efficient treatment to prevent strokes in patients who suffer from atrial fibrillation, especially those at risk of bleeding. A non-negligible number of patients treated with LAAO develop device-related thrombosis (DRT) after device implantation. Our study aimed to identify the key blood flow characteristics leading to DRT using patient-specific flow simulations. Methods: Patients treated with LAAO between 2014 and 2019 at a single center with preoperative and follow-up computerized tomography images and ultrasound imaging (US) were used to create patient-specific flow simulations. Amulet LAAO devices were implanted in the study patients. Flow simulations were blindly assessed to discard the presence of DRT in the follow-up imaging. Results: A total of 6 patients were processed in this pivotal study, half of them with DRT at the follow-up according to the imaging analysis. After a comprehensive analysis of the simulations, the most relevant in silico indices associated with DRT were the presence of stagnant blood flow, recirculation with low flow velocities (< 0.20 m/s) next to the device surface, and regions with high flow complexity combined with low wall shear stress. Conclusions: Patient-specific flow simulations of LAAO were successfully used to predict blood flow patterns with different device configurations. The results show the potential of the present modelling and simulation approach to recommend optimal settings capable of minimizing the risk of DRT.
format article
author Jordi Mill
Victor Agudelo
Chi Hion Li
Jerome Noailly
Xavier Freixa
Oscar Camara
Dabit Arzamendi
author_facet Jordi Mill
Victor Agudelo
Chi Hion Li
Jerome Noailly
Xavier Freixa
Oscar Camara
Dabit Arzamendi
author_sort Jordi Mill
title Patient-specific flow simulation analysis to predict device-related thrombosis in left atrial appendage occluders
title_short Patient-specific flow simulation analysis to predict device-related thrombosis in left atrial appendage occluders
title_full Patient-specific flow simulation analysis to predict device-related thrombosis in left atrial appendage occluders
title_fullStr Patient-specific flow simulation analysis to predict device-related thrombosis in left atrial appendage occluders
title_full_unstemmed Patient-specific flow simulation analysis to predict device-related thrombosis in left atrial appendage occluders
title_sort patient-specific flow simulation analysis to predict device-related thrombosis in left atrial appendage occluders
publisher Permanyer
publishDate 2021
url https://doaj.org/article/81b55de5e80046549cd1bcc99909b3d8
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