Impact of occluder device configurations in in-silico left atrial hemodynamics for the analysis of device-related thrombus.

IF 3.8 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
PLoS Computational Biology Pub Date : 2024-09-26 eCollection Date: 2024-09-01 DOI:10.1371/journal.pcbi.1011546
Carlos Albors, Jordi Mill, Andy L Olivares, Xavier Iriart, Hubert Cochet, Oscar Camara
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引用次数: 0

Abstract

Left atrial appendage occlusion devices (LAAO) are a feasible alternative for non-valvular atrial fibrillation (AF) patients at high risk of thromboembolic stroke and contraindication to antithrombotic therapies. However, optimal LAAO device configurations (i.e., size, type, location) remain unstandardized due to the large anatomical variability of the left atrial appendage (LAA) morphology, leading to a 4-6% incidence of device-related thrombus (DRT). In-silico simulations have the potential to assess DRT risk and identify the key factors, such as suboptimal device positioning. This work presents fluid simulation results computed on 20 patient-specific left atrial geometries, analysing different commercially available LAAO occluders, including plug-type and pacifier-type devices. In addition, we explored two distinct device positions: 1) the real post-LAAO intervention configuration derived from follow-up imaging; and 2) one covering the pulmonary ridge if it was not achieved during the implantation (13 out of 20). In total, 33 different configurations were analysed. In-silico indices indicating high risk of DRT (e.g., low blood flow velocities and flow complexity around the device) were combined with particle deposition analysis based on a discrete phase model. The obtained results revealed that covering the pulmonary ridge with the LAAO device may be one of the key factors to prevent DRT, resulting in higher velocities and reduced flow recirculations (e.g., mean velocities of 0.183 ± 0.12 m/s and 0.236 ± 0.16 m/s for uncovered versus covered positions in DRT patients). Moreover, disk-based devices exhibited enhanced adaptability to various LAA morphologies and, generally, demonstrated a lower risk of abnormal events after LAAO implantation.

用于分析器械相关血栓的硅学左心房血流动力学中闭塞器械配置的影响。
左心房阑尾闭塞装置(LAAO)是非瓣膜性心房颤动(房颤)患者血栓栓塞性中风高风险和抗血栓疗法禁忌症的可行替代方案。然而,由于左心房阑尾(LAA)形态的解剖变异性较大,最佳的 LAAO 装置配置(即尺寸、类型、位置)仍未标准化,导致装置相关血栓(DRT)的发生率为 4-6%。硅内模拟有可能评估 DRT 风险并确定关键因素,如不理想的装置定位。这项工作展示了对 20 个患者特定左心房几何形状计算的流体模拟结果,分析了不同的市售 LAAO 封堵器,包括塞子型和奶嘴型装置。此外,我们还探讨了两种不同的装置位置:1)从随访成像中得出的 LAAO 干预后的真实配置;2)如果在植入过程中没有达到肺脊,则覆盖肺脊的配置(20 例中有 13 例)。总共分析了 33 种不同的配置。基于离散相模型的粒子沉积分析结合了表明 DRT 高风险的硅学指数(如装置周围的低血流速度和流动复杂性)。研究结果表明,用 LAAO 装置覆盖肺动脉嵴可能是预防 DRT 的关键因素之一,可提高流速并减少血流再循环(例如,在 DRT 患者中,未覆盖位置与覆盖位置的平均流速分别为 0.183 ± 0.12 m/s 和 0.236 ± 0.16 m/s)。此外,盘式装置对各种 LAA 形态的适应性更强,一般来说,植入 LAAO 后发生异常事件的风险更低。
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来源期刊
PLoS Computational Biology
PLoS Computational Biology BIOCHEMICAL RESEARCH METHODS-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
7.10
自引率
4.70%
发文量
820
审稿时长
2.5 months
期刊介绍: PLOS Computational Biology features works of exceptional significance that further our understanding of living systems at all scales—from molecules and cells, to patient populations and ecosystems—through the application of computational methods. Readers include life and computational scientists, who can take the important findings presented here to the next level of discovery. Research articles must be declared as belonging to a relevant section. More information about the sections can be found in the submission guidelines. Research articles should model aspects of biological systems, demonstrate both methodological and scientific novelty, and provide profound new biological insights. Generally, reliability and significance of biological discovery through computation should be validated and enriched by experimental studies. Inclusion of experimental validation is not required for publication, but should be referenced where possible. Inclusion of experimental validation of a modest biological discovery through computation does not render a manuscript suitable for PLOS Computational Biology. Research articles specifically designated as Methods papers should describe outstanding methods of exceptional importance that have been shown, or have the promise to provide new biological insights. The method must already be widely adopted, or have the promise of wide adoption by a broad community of users. Enhancements to existing published methods will only be considered if those enhancements bring exceptional new capabilities.
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