Glaucoma is a neurodegenerative disease with a structural change of the optic nerve head, leading to visual field defects and ultimately blindness. It has been proposed that glaucoma is associated with increased mortality, but previous studies had methodological limitations (selective study samples, lack of data on potential confounders, self-reported or secondary data on glaucoma diagnoses). We evaluated the association between diagnosed glaucoma and mortality in the population-based National Health and Nutrition Examination Survey (NHANES), a representative health survey in the United States. The survey cycles 2005-2006 and 2007-2008 included an extensive ophthalmic examination with fundus photography, which were used to derive standardized glaucoma diagnoses. Risk of all-cause mortality was assessed with multivariable Cox proportional hazards regression models accounting for the complex survey design of NHANES. Time to death was calculated from the examination date to date of death or December 31, 2015 whichever came first. 5385 participants (52.5% women) were eligible, of which 138 had glaucoma at baseline, and 833 died during follow-up. Participants with glaucoma were more likely to be older than those without glaucoma (mean age 69.9 vs. 56.0 years). Mean follow-up time was 8.4 years for participants with glaucoma, and 8.6 years for participants without glaucoma. Glaucoma was associated with increased mortality in an unadjusted Cox regression model (hazard ratio 2.06, 95% confidence interval 1.16 to 3.66), but the association was no longer statistically significant after adjusting for age and sex (hazard ratio 0.74, 95% confidence interval 0.46 to 1.17). Additional adjustment for a range of potential confounders did not significantly change the results. In this representative population-based study, we found no evidence of increased mortality risk in glaucoma patients.
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http://dx.doi.org/10.1038/s41598-021-91194-3 | DOI Listing |
Jpn J Ophthalmol
January 2025
Department of Ophthalmology, Graduate of Medicine, Faculty of Medicine, The University of Tokyo, Tokyo, Japan.
Purpose: To assess the efficacy and safety of PreserFlo MicroShunt (PMS) combined with mitomycin C in patients with medically treated primary open-angle glaucoma (POAG).
Study Design: A retrospective observational study.
Methods: The study examined 83 eyes from 83 patients with medically treated glaucoma surgery naive POAG.
BMC Ophthalmol
January 2025
Department of Ophthalmology, Medical Faculty, University Hospital of Cologne, Kerpener Strasse 62, 50937, Cologne, Germany.
Background/ Aims: To analyze the longitudinal change in Bruch's membrane opening minimal rim width (BMO-MRW) and peripapillary retinal nerve fiber layer (pRNFL) thickness using optical coherence tomography (OCT) after implantation of a PRESERFLO® microshunt for surgical glaucoma management in adult glaucoma patients.
Methods: Retrospective data analysis of 59 eyes of 59 participants undergoing implantation of a PRESERFLO microshunt between 2019 and 2022 at a tertiary center for glaucoma management. Surgical management included primary temporary occlusion of the glaucoma shunt to prevent early hypotony.
J Pediatr
January 2025
Department of Clinical Sciences and Community Health, Dipartimento di Eccellenza 2023-2027, University of Milan, Milan, Italy; NICU, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Am Fam Physician
January 2025
Western University Schulich School of Medicine and Dentistry, London, Ontario, Canada.
Vision loss affects more than 7 million Americans and impacts quality of life, independence, social functioning, and overall health. Common and dangerous conditions causing sudden vision loss include acute angle-closure glaucoma, retinal detachment, retinal artery occlusion, giant cell arteritis, and optic neuritis. Acute angle-closure glaucoma features ocular pain, headache, and nausea; treatment includes pilocarpine eye drops, oral or intravenous acetazolamide, and intravenous mannitol.
View Article and Find Full Text PDFPLoS One
January 2025
School of Optometry and Vision Science, UNSW Sydney, Sydney, New South Wales, Australia.
Purpose: In this study, we investigated the performance of deep learning (DL) models to differentiate between normal and glaucomatous visual fields (VFs) and classify glaucoma from early to the advanced stage to observe if the DL model can stage glaucoma as Mills criteria using only the pattern deviation (PD) plots. The DL model results were compared with a machine learning (ML) classifier trained on conventional VF parameters.
Methods: A total of 265 PD plots and 265 numerical datasets of Humphrey 24-2 VF images were collected from 119 normal and 146 glaucomatous eyes to train the DL models to classify the images into four groups: normal, early glaucoma, moderate glaucoma, and advanced glaucoma.
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