Glaucoma's damage to peripheral vision compromises mobility to a greater extent than ocular pathology limiting central vision. Half of glaucoma is undiagnosed, as the majority of primary care physicians do not screen for glaucoma. Glaucoma is more prevalent in older adults with dementia than without dementia. This study tested the hypothesis that, in adults 60 and older with dementia, glaucoma screening failure is significantly higher than without dementia. An observational cross-sectional research design with a categorical outcome variable was used. Potential participants/caregivers were questioned regarding glaucoma diagnosis and treatment. Those denying glaucoma or treatment qualified for free screening. Participants (n = 103) were 75% African American (75 females, 28 males, average age 75 +/- 7.59). Thirty-three had dementia. Referral rate with dementia was significantly higher than without dementia (54% vs. 27%, chi(2) = 7.32, p = 0.0007) (95% CI = 0.304-0.816), affirming the study hypothesis. Lack of glaucoma screening and treatment follow-up by a majority of primary care physicians treating geriatric patients demonstrates a need for medical professionals to address function, particularly mobility, to discuss glaucoma's effects with patients/caregivers, and to consider measuring intraocular pressure.
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http://dx.doi.org/10.1080/15433710802633338 | DOI Listing |
BMC Ophthalmol
January 2025
Ophthalmology Unit, Queen Margaret Hospital, NHS Fife, Dunfermline, UK.
Background: COVID-19 caused a huge backlog of patients in glaucoma clinics. This study describes redesign of an entire glaucoma service with electronic patient triage to three levels and utilisation of the Scottish optometry infrastructure of upskilled optometrists.
Methods: 2276 patients in glaucoma clinics were identified and triaged to three levels in keeping with Glauc-strat-fast guidance with local amendments.
Br J Ophthalmol
January 2025
C J Shah Cornea Services, Sankara Nethralaya, Chennai, Tamil Nadu, India.
Aim: To analyse the clinical and demographic profiles of patients with vernal keratoconjunctivitis (VKC) and propose a grading for VKC based on corneal status and symptom periodicity rather than disease activity.
Methods: Retrospective observational study from January 2015 to January 2020 in India. VKC grading was based on past/present clinical signs and frequency of symptoms rather than disease activity.
JMIR Med Inform
January 2025
Department of Systems Design Engineering, Faculty of Engineering, University of Waterloo, Waterloo, ON, Canada.
Background: While expert optometrists tend to rely on a deep understanding of the disease and intuitive pattern recognition, those with less experience may depend more on extensive data, comparisons, and external guidance. Understanding these variations is important for developing artificial intelligence (AI) systems that can effectively support optometrists with varying degrees of experience and minimize decision inconsistencies.
Objective: The main objective of this study is to identify and analyze the variations in diagnostic decision-making approaches between novice and expert optometrists.
J Glaucoma
January 2025
Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI.
Precis: Current optical coherence tomography normative sample data may not represent diverse human optic nerve anatomy to accurately classify all individuals with true glaucomatous optic neuropathy.
Purpose: To compare optic nerve head (ONH) measurements between published values from an optical coherence tomography (OCT) normative database and a more diverse cohort of healthy individuals.
Patients And Methods: ONH parameters from healthy participants of the Michigan Screening and Intervention for Glaucoma and Eye Health through Telemedicine (MI-SIGHT) program and the Topcon Maestro-1 normative cohort were compared.
Ophthalmol Sci
November 2024
Division of Ophthalmology Informatics and Data Science, Viterbi Family Department of Ophthalmology, Shiley Eye Institute, University of California, San Diego, La Jolla, California.
Purpose: The aim is to assess GPT-4V's (OpenAI) diagnostic accuracy and its capability to identify glaucoma-related features compared to expert evaluations.
Design: Evaluation of multimodal large language models for reviewing fundus images in glaucoma.
Subjects: A total of 300 fundus images from 3 public datasets (ACRIMA, ORIGA, and RIM-One v3) that included 139 glaucomatous and 161 nonglaucomatous cases were analyzed.
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