
The study used unsupervised machine learning to identify four subtypes of ocular hypertension (OHT) based on visual field (VF) progression: improvers, stables, slow progressors, and fast progressors. Age, intraocular pressure, refractive error, and medical history were linked to fast VF progression. Fast progressors showed higher rates of glaucoma conversion, were more likely to be male, African American, and had a higher incidence of cardiovascular and metabolic conditions.
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