Observational studyOphthalmology. Glaucoma
Comparison of Peripapillary Capillary Density in Glaucoma Patients of African and European Descent.
Observational study in Ophthalmology. Glaucoma. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 10 citations in OpenAlex.
- The Inter-Eye Differences of the Circumpapillary Microvasculature in Primary Open-Angle Glaucoma.Translational vision science & technology · 2026Article
- APSified Peripapillary Vessel Density in Glaucoma Suspects and Open-Angle Glaucoma.Diagnostics (Basel, Switzerland) · 2026Article
- In Vivo Macro-Micro Neurovascular Mapping and Visual Field Correspondence in Non-Arteritic Anterior Ischemic Optic Neuropathy.Ophthalmology and therapy · 2026Article
- Comparing Optical Coherence Tomography Angiography Metrics in Healthy Chinese and Caucasian Adults.Journal of personalized medicine · 2024Article
- Racial Differences in Diagnostic Accuracy of Retinal Nerve Fiber Layer Thickness in Primary Open-Angle Glaucoma.American journal of ophthalmology · 2024Article
- Going beyond the means: Exploring the role of bias from digital determinants of health in technologies.PLOS digital health · 2023Review
- Ocular blood flow as it relates to race and disease on glaucoma.Advances in ophthalmology and optometry · 2021Article
- Effect of Corneal Hysteresis on the Rates of Microvasculature Loss in Glaucoma.Ophthalmology. GlaucomaObservational
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Authors and funding
9 authors at 3 institutions in 3 countries.
Funding
Abstract
purposeTo evaluate racial differences in optic nerve head peripapillary capillary density measured by OCT angiography (OCTA) in patients with open-angle glaucoma.
designObservational, cross-sectional study.
participantsTwo hundred eighty-four eyes of 195 glaucoma patients and 108 eyes of 58 healthy participants from the Diagnostic Innovations in Glaucoma Study.
methodsGlobal and sectoral circumpapillary capillary density (cpCD) loss in participants of European descent (ED) and African descent (AD) were compared. Areas under the receiver operating characteristic curve (AUROCs) were used to evaluate diagnostic accuracy of cpCD and global circumpapillary retinal nerve fiber layer (cpRNFL) thickness in the 2 groups after adjusting for confounders.
main outcome measuresPeripapillary capillary density and cpRNFL thickness measurements and their estimated loss.
resultsParticipants of AD and ED with glaucoma were of similar age and glaucoma severity. After adjusting for age, disc area, and other confounders, significantly lower cpCD was found in ED eyes compared with AD eyes in mild glaucoma (mean, 42.2% [95% confidence interval (CI), 41.2%-43.2%] and 46.5% [95% CI, 44.8%-48.1%], respectively; adjusted difference, 4.4 [95% CI, 2.6-6.2]; P < 0.001) and moderate to advanced glaucoma (mean, 34.7% and 38.5%, respectively; adjusted difference, 4.8 [95% CI, 1.6-8.1]; P = 0.005). Although capillary density loss was greater in all sectors in ED compared with AD participants, a similar sectoral pattern of density loss was observed in both racial groups. Lower mean deviation and older age were associated with lower cpCD in both races in multivariate models. The adjusted AUROC for discriminating between healthy and glaucomatous eyes for cpCD was higher for ED (0.95) compared with AD (0.68) patients (P < 0.001). Sensitivity at 95% specificity in AD participants was lower than in ED participants for cpCD (0.32 [95% CI, 0.11-0.64] vs. 0.83 [95% CI, 0.69-0.93], respectively; P < 0.001).
conclusionsAlthough peripapillary capillary density parameters showed good diagnostic accuracy for detecting glaucoma in ED patients, their diagnostic accuracy was only modest in AD patients. Diagnostic performance of cpCD is race dependent, and clinicians should be aware that it has poorer performance in AD patients.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.