PLoS ONE · 2021 · 27 citations · 33 references
Health ProfessionsOphthalmologyVision ScienceClinical Vision ScienceOcular DiseaseOcular ImagingDiabetic RetinopathyFundus PhotographyOptical Coherence TomographyRetinal ExaminationRetinal ImagingRetinal Vascular DiseaseDiabetic Retinopathy GradingFoveal Avascular Capillary NetworkFoveal Avascular Zone MorphometryFoveal MicrovasculatureOptical Coherence Tomography AngiographyRetinal Microvascular AbnormalitiesRetinal Microvascular ChangesRetinopathy Severity Grading
PURPOSE: The purpose of this study was to examine whether racial and ethnic differences in retinal microvasculature are detectable with quantitative measures derived from optical coherence tomography angiography (OCTA). METHODS: OCTA scans and fundus photography were obtained in 447 eyes from 271 patients with and without diabetes between April and October 2018. Fundus photos were graded by the hospital reading center for diabetic retinopathy (DR) severity. Eight OCTA parameters relating to the foveal avascular zone (FAZ), superficial vascular perfusion, and deep vascular perfusion were analyzed for significant differences between race and ethnicity groups, self-reported by patients and organized according to National Center for Health Statistics groupings. Multiple regression was then used to adjust estimates for possible confounding by age, gender, hypertension, and last hemoglobin A1c level. RESULTS: Significant differences in FAZ area were found between white and non-white patients. After adjustment, the differences between white and all non-white groups were statistically significant (p<0.05) among patients with mild to moderate DR. In those without diabetes, the Hispanic and Asian groups had significantly larger FAZ areas (p<0.005) than NH white patients. In those with mild to moderate non-proliferative diabetic retinopathy (NPDR), NH Black, Hispanic, and Asian patients also had significantly larger FAZ areas than NH white patients (p<0.005). CONCLUSION: Significant differences in FAZ area exist among different racial and ethnic groups. These results highlight the importance of considering and further studying race and ethnicity in OCTA analyses of the retinal microvasculature.
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Proper Method for Calculating Average Visual Acuity
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Medicine, Ophthalmology, Optometry +11
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Taking race out of human genetics
Michael Yudell, Dorothy E. Roberts, Rob DeSalle et al. · Science · 2016 · 626 citations
Life Sciences, Biology, Genetics +13