利用稳态和时变域的水流体流动和流动设施的眼压方程。

Clinical ophthalmology (Auckland, N.Z.) Pub Date : 2025-08-22 eCollection Date: 2025-01-01 DOI:10.2147/OPTH.S531475
Sean Mccafferty, John Berdahl
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引用次数: 0

摘要

目的:通过在稳态和时间相关领域的基础工作基础上改进模型,提高对眼压(IOP)动力学的理解。方法:建立了两个新的基本方程,描述眼压依赖于水流体流入和流出眼睛。该方程包含流体设施、静脉和动脉压力以及初始和稳态IOP参数。完成了复制现有青光眼介入研究的基本验证。方程1是线性流入和流出设施之间平衡的稳态近似,其截距分别为小动脉截距压和静脉压。方程2是初始IOP的随时间近似值,也包含两个或更多的流入和流出设施以及稳态解。结果:稳态方程通过复制已发表的奈沙地尔和拉坦前列素联合治疗IOP疗效研究的结果得到验证,误差为3%。通过复制一项已发表的研究,验证了时间相关方程,该研究检查了拉坦前列素IOP降低到稳定状态的平均时间反应,误差为8%。讨论:结合稳态和时间相关的IOP方程,使IOP平衡模型纳入流入和流出设施以及动脉和静脉压力的影响。验证证明了该模型在增加介入流出和随时间变化的IOP反应时的适用性。增强的眼压方程为模拟眼压动力学提供了一个新的框架。潜在的应用包括了解眼压病理生理,评估治疗干预,预测时间/日眼压波动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Intraocular Pressure Equations Utilizing Aqueous Fluid Flow and Flow Facility in the Steady-State and Time-Dependent Domains.

Intraocular Pressure Equations Utilizing Aqueous Fluid Flow and Flow Facility in the Steady-State and Time-Dependent Domains.

Intraocular Pressure Equations Utilizing Aqueous Fluid Flow and Flow Facility in the Steady-State and Time-Dependent Domains.

Intraocular Pressure Equations Utilizing Aqueous Fluid Flow and Flow Facility in the Steady-State and Time-Dependent Domains.

Purpose: Enhanced understanding of intraocular pressure (IOP) dynamics by developing models improving upon foundational work in both steady-state and time-dependent domains.

Methods: Two novel base equations are developed describing IOP dependent upon aqueous fluid flow into and out of the eye. The equations incorporate the parameters of fluid facility, venous and arteriolar pressures as well as initial and steady-state IOP. Basic validation was completed replicating existing glaucoma interventional studies. Equation 1 is a steady-state approximation of equilibrium between linear inflow and outflow facilities whose intercepts are the arteriolar intercept pressure and venous pressure, respectively. Equation 2 is a time-dependent approximation of IOP from an initial IOP also incorporating two or more inflow and outflow facilities as well as the steady-state solution.

Results: The steady-state equation was validated by replicating the results of a published IOP efficacy study of combined netarsudil and latanoprost treatment results with a 3% error. The time-dependent equation was validated by replicating a published study examining mean time response of latanoprost IOP reduction to steady-state with an 8% error.

Discussion: The combined steady-state and time-dependent IOP equations enable IOP equilibrium modeling incorporating inflow and outflow facility and the effects of arteriolar and venous pressures. Validation demonstrates applicability of the model with added interventional outflow and time-dependent IOP responses. Enhanced IOP equations provide a novel framework for modeling IOP dynamics. Potential applications include understanding IOP pathophysiology, evaluating therapeutic interventions, and predicting temporal/diurnal IOP fluctuations.

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