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To ascertain the types of childhood glaucoma managed at major international centers, current clinical practice, and intraocular pressure (IOP) control and visual acuity (VA) outcomes.Prospective, multicenter, consecutive case series.All children with newly diagnosed glaucoma in at least 1 eye who fulfilled the Childhood Glaucoma Research Network (CGRN) definition of childhood glaucoma were recruited over a 1-year period with the aim of 18 months follow up.Demographic, clinical, management data (including complications), and outcomes (IOP and VA) were entered in a secure online database. All cases included in the outcome analysis had a minimum of 6 months follow-up.The management of childhood glaucoma, IOP control, and VA outcomes.A total of 441 children (691 eyes) with newly diagnosed glaucoma were enrolled from 17 international centers. Approximately 60% of patients came from 2 centers in India; however, 47.5% of Indian patients had no or less than 6 months of follow-up outcome data from diagnosis. Primary congenital glaucoma (PCG) was the most common diagnosis (45.4%, n = 314 eyes). There was a statistically significant association between diagnosis and ethnicity/race (P0.001), with PCG more frequent in nonwhite patients, glaucoma associated with acquired conditions more frequent in South Asian patients, and glaucoma after cataract surgery more frequent in white patients. The initial surgical procedure of choice for eyes with PCG significantly differed by country. Angle surgery alone was first line in centers in the United States, United Kingdom, Germany, Saudi Arabia, Singapore, and Israel (Group 1), whereas combined trabeculotomy-trabeculectomy was the first-line procedure for PCG in centers in India and Ghana (Group 2). There was no significant difference in IOP control nor VA between the 2 groups.The most common diagnoses in this international study of children with newly diagnosed glaucoma in order of frequency were PCG, glaucoma after congenital idiopathic cataract surgery, and glaucoma associated with trauma. Indian children had a disproportionately high loss to follow-up rate. Despite international differences in the surgical approach to PCG, there was no statistically significant difference in IOP or VA outcomes. We hope the results of this study will inform key areas of future international, collaborative clinical research in childhood glaucoma.

Purpose To derive macular thickness measures and their associations by performing rapid, automated segmentation of spectral-domain optical coherence tomography (SD OCT) images collected and stored as part of the UK Biobank (UKBB) study. Design Large, multisite cohort study in the United Kingdom. Analysis of cross-sectional data. Participants Adults from the United Kingdom aged 40 to 69 years. Methods Participants had nonmydriatic SD OCT (Topcon 3D OCT-1000 Mark II; Topcon GB, Newberry, Berkshire, UK) performed as part of the ocular assessment module. Rapid, remote, automated segmentation of the images was performed using custom optical coherence tomography (OCT) image analysis software (Topcon Advanced Boundary Segmentation [TABS]; Topcon GB) to generate macular thickness values. We excluded people with a history of ocular or systemic disease (diabetes or neurodegenerative diseases) and eyes with reduced vision ( Main Outcome Measures Macular thickness values across 9 Early Treatment of Diabetic Retinopathy Study (ETDRS) subfields. Results The SD OCT scans of 67 321 subjects were available for analysis, with 32 062 people with at least 1 eye meeting the inclusion criteria. There were 17 274 women and 14 788 men, with a mean (standard deviation [SD]) age of 55.2 (8.2) years. The mean (SD) logarithm of the minimum angle of resolution visual acuity was −0.075 (0.087), and the refractive error was −0.071 (+1.91) diopters (D). The mean (SD) central macular thickness (CMT) in the central 1-mm ETDRS subfield was 264.5 (22.9) μm, with 95% confidence limits of 220.8 and 311.5 μm. After adjusting for covariates, CMT was positively correlated with older age, female gender, greater myopia, smoking, body mass index (BMI), and white ethnicity (all P Conclusions We report macular thickness data derived from SD OCT images collected as part of the UKBB study and found novel associations among older age, ethnicity, BMI, smoking, and macular thickness.