通过多尺度心血管模型研究房颤对青光眼血管发病的影响

IF 4.9 2区 医学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Stefania Scarsoglio , Luca Congiu , Luca Ridolfi
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引用次数: 0

摘要

背景与目的:心房颤动(AF)是最常见的心律失常,表现为心跳加快和不规则。尽管有越来越多的证据表明AF对脑血流动力学的影响,但AF引起的眼血流动力学改变迄今仍未得到充分研究。本研究的目的是通过计算探讨AF对眼血流动力学的作用,作为青光眼的可能血管触发因素之一,青光眼是由于视神经损伤导致失明的主要原因。方法:利用一个经过验证的0D-1D多尺度心血管模型,通过模拟每种情况下的2000次心跳,计算房颤对窦性心律(SR)的血流动力学反应。为了模拟心房颤动节律,其主要特征被解释为:(i)加速、可变和不相关的跳动;(ii)无心房踢腿;(iii)心室收缩功能障碍。结果:我们重点关注眼内压(IOP)、眼灌注压(OPP)和层间压(TLP)。除了OPP略有下降外,AF中IOP和TLP的热平均值相对于sr几乎没有变化。相反,在AF期间,观察到IOP、OPP和TLP的脉动值(即在一个拍中达到的最大值减去最小值)的显著降低和分散,以及波幅阻尼。由于临床困难,脉搏值的显著变异性难以测量,可能导致短暂性低灌注和低脉搏事件(对于OPP)以及高血压发作(对于TLP)。结论:目前尚缺乏必要的临床数据,本研究可以通过AF框架中的血流动力学驱动提示来丰富血管理论,该理论将眼灌注减少(通过降低OPP和增加TLP)与青光眼风险增加联系起来。在此背景下,目前的模型研究结果表明af诱导的血流动力学改变与青光眼发展风险增加之间可能存在机制联系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigating the impact of atrial fibrillation on the vascular onset of glaucoma via multiscale cardiovascular modeling

Background and objective:

Atrial fibrillation (AF) is the most common tachyarrhythmia, exhibiting faster and irregular beating. Although there is growing evidence of the impact of AF on the cerebral hemodynamics, ocular hemodynamic alterations induced by AF are still poorly investigated to date. The objective of this study is to computationally inquire into the role of AF on the ocular hemodynamics as one of the possible vascular triggers of glaucoma, which is the leading cause of blindness due to the damage of the optic nerve.

Methods:

A validated 0D–1D multiscale cardiovascular model is exploited to compute the hemodynamic response of AF against sinus rhythm (SR), by simulating 2000 beats for each condition. To mimic AF rhythm, its main features are accounted for: (i) accelerated, variable and uncorrelated beating; (ii) absence of atrial kick; (iii) ventricular systolic dysfunction.

Results:

We focused on intraocular pressure (IOP), ocular perfusion pressure (OPP), and translaminar pressure (TLP). Apart from a modest OPP decrease, beat-averaged values of IOP and TLP barely vary in AF with respect to SR. Instead, during AF a significant reduction and dispersion of pulsatile values (i.e., maximum minus minimum values reached in a beat), as well as wave amplitude damping, is observed for IOP, OPP and TLP. The marked variability of pulsatile values, which are hardly measured due to clinical difficulties, can induce transient hypoperfusions and hypo-pulsatility events (for OPP) as well as hypertensive episodes (for TLP).

Conclusions:

Awaiting necessary clinical data which are to date lacking, the present study can enrich – through hemodynamic-driven hints in the AF framework – the vascular theory, which associates reduced ocular perfusion (by means of decreased OPP and increased TLP) to an augmented risk of glaucoma. In this context, present modeling findings suggest a possible mechanistic link between AF-induced hemodynamic alterations and the increased risk of glaucoma development.
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来源期刊
Computer methods and programs in biomedicine
Computer methods and programs in biomedicine 工程技术-工程:生物医学
CiteScore
12.30
自引率
6.60%
发文量
601
审稿时长
135 days
期刊介绍: To encourage the development of formal computing methods, and their application in biomedical research and medical practice, by illustration of fundamental principles in biomedical informatics research; to stimulate basic research into application software design; to report the state of research of biomedical information processing projects; to report new computer methodologies applied in biomedical areas; the eventual distribution of demonstrable software to avoid duplication of effort; to provide a forum for discussion and improvement of existing software; to optimize contact between national organizations and regional user groups by promoting an international exchange of information on formal methods, standards and software in biomedicine. Computer Methods and Programs in Biomedicine covers computing methodology and software systems derived from computing science for implementation in all aspects of biomedical research and medical practice. It is designed to serve: biochemists; biologists; geneticists; immunologists; neuroscientists; pharmacologists; toxicologists; clinicians; epidemiologists; psychiatrists; psychologists; cardiologists; chemists; (radio)physicists; computer scientists; programmers and systems analysts; biomedical, clinical, electrical and other engineers; teachers of medical informatics and users of educational software.
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