Evidence map›Paper›PMID 40873652›Full record

ArticleClinical ophthalmology (Auckland, N.Z.)2025

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

Sean Mccafferty, John Berdahl

Abstract read
In one paragraph

Article in Clinical ophthalmology (Auckland, N.Z.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Sean MccaffertyArizona Eye Consultants, University of Arizona, Ophthalmology, Tucson, AZ, 85710, USA.ORCID 0000-0002-4624-5615
John BerdahlVance Thompson Vision, Sioux Falls, SD, USA.ORCID 0000-0002-5468-7405

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

aqueous equilibriumaqueous humor dynamicsaqueous humor mechanicsarteriolar pressurediurnal IOP variationepiscleral venous pressureglaucomaGoldmann equationinflow facilityintracranial hypertensionintraocular pressureIOPocular hypertensionoutflow facility

Identifiers

PMID40873652
PMCPMC12380090

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