The impact of different forms of exercise on intraocular pressure, blood flow, and the risk for primary open angle glaucoma.

Primary open angle glaucoma (POAG) is a chronic disease characterized by progressive optic nerve damage and irreversible loss of vision, often diagnosed at late stages. Elevated intraocular pressure (IOP) is the major risk factor for its onset and progression while older age, myopia, genetic factors, blood pressure (BP), and reduced ocular blood flow (OBF) have also been linked to the disease. Different forms of exercise are known to have significant, but variable, effects on IOP, BP, ocular perfusion pressure (OPP), OBF and oxygen metabolism, and ultimately the risk for development and progression of POAG.

Using Multi-Layer Perceptron Driven Diagnosis to Compare Biomarkers for Primary Open Angle Glaucoma.

Purpose: To use neural network machine learning (ML) models to identify the most relevant ocular biomarkers for the diagnosis of primary open-angle glaucoma (POAG).

Methods: Neural network models, also known as multi-layer perceptrons (MLPs), were trained on a prospectively collected observational dataset comprised of 93 glaucoma patients confirmed by a glaucoma specialist and 113 control subjects. The base model used only intraocular pressure, blood pressure, heart rate, and visual field (VF) parameters to diagnose glaucoma.

Diagnostic Capability of OCTA-Derived Macular Biomarkers for Early to Moderate Primary Open Angle Glaucoma.

: To investigate macular vascular biomarkers for the detection of primary open-angle glaucoma (POAG). : A total of 56 POAG patients and 94 non-glaucomatous controls underwent optical coherence tomography angiography (OCTA) assessment of macular vessel density (VD) in the superficial (SCP), and deep (DCP) capillary plexus, foveal avascular zone (FAZ) area, perimeter, VD, choriocapillaris and outer retina flow area. POAG patients were classified for severity based on the Glaucoma Staging System 2 of Brusini.