Publications by authors named "L S Pasquale"
Glaucoma is the leading cause of irreversible blindness globally. Research indicates a disproportionate impact of glaucoma on racial and ethnic minorities. Existing deep learning models for glaucoma detection might not achieve equitable performance across diverse identity groups.
View Article and Find Full Text PDFWe used machine learning to investigate the residual visual field (VF) deficits and macula retinal ganglion cell (RGC) thickness loss patterns in recovered optic neuritis (ON). We applied archetypal analysis (AA) to 377 same-day pairings of 10-2 VF and optical coherence tomography (OCT) macula images from 93 ON eyes and 70 normal fellow eyes ≥ 90 days after acute ON. We correlated archetype (AT) weights (total weight = 100%) of VFs and total retinal thickness (TRT), inner retinal thickness (IRT), and macular ganglion cell-inner plexiform layer (GCIPL) thickness.
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- * A multi-ethnic meta-analysis revealed 22 risk loci linked to NTG, with 17 of these not previously identified, including significant new associations with BMP4 and TBKBP1.
- * Findings suggest there’s a genetic overlap in risk factors between NTG and HTG, but NTG shows a generally lower risk effect, pointing to the potential for immunomodulatory treatments as neuroprotective options for glaucoma.
Purpose: To evaluate the risk of incidence rates of uveitis among patients starting topical glaucoma therapy.
Design: Retrospective database study utilizing the Sight Outcomes Research Collaborative (SOURCE) Ophthalmology Data Repository.
Participants: Adult glaucoma patients who were recently started on topical glaucoma therapy.
Importance: Primary open-angle glaucoma (POAG) is a heritable disease. A polygenic risk score (PRS) threshold may be used to identify individuals at low risk of disease onset.
Objective: To assess the utility of a POAG PRS to identify ocular hypertensive individuals at low risk of disease onset.