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Haiying Chen, Wei Wang, Wenyong Huang; Relationship between vessel density and visual acuity in Chinese patients with type 2 diabetes. Invest. Ophthalmol. Vis. Sci. 2020;61(7):4112.
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© ARVO (1962-2015); The Authors (2016-present)
To investigate the correlation between superficial parafoveal vessel density on optical coherence tomography angiography (OCTA) and visual acuity in a Chinese type 2 diabetes (T2DM) cohort.
OCTA (Triton DRI-OCT, Topcon. Inc., Tokyo, Japan) of patients in Guangzhou, China aged 35—80 with T2DM and no other eye condition except for diabetic retinopathy (DR) and cataract were analyzed. Superficial average parafoveal vessel density was calculated by averaging the vessel densities of the four parafoveal quadrants in the superficial capillary plexus measured on OCTA. Medical and ophthalmic data of the participants were collected at baseline visits. Best corrected visual acuity (BCVA) was analyzed in logarithm of the minimum angle of resolution (LogMAR).
A total of 885 eyes of 885 individuals that met the study criteria were included in the analysis. The mean BCVA of the cohort was 0.21±0.12 LogMAR (Snellen equivalent 20/32, range 20/20—20/100). Among the 885 eyes, 744 (84.1%) had no DR at study entry. The mean superficial average parafoveal vessel density was 48.32%±2.72% in eyes with DR, and 48.62%±2.08% in eyes without DR.In eyes without DR, after adjusting for age, gender, axial length, central subfield retinal thickness, blood pressure, hemoglobin A1c and cholesterol levels, BCVA was negatively correlated with superficial average parafoveal vessel density (β=-2.45, 95% CI -3.93 — -0.97, P=0.001), as well as superficial inferior parafoveal vessel density (β=-4.99, 95%CI -8.04 — -1.95, P=0.001). By contrast, in eyes with DR, no correlation was found between BCVA and superficial average parafoveal vessel density, or between BCVA and vessel densities of the four parafoveal quadrants.
In a Chinese T2DM cohort, higher parafoveal vessel density was correlated with better visual acuity in eyes without DR.
This is a 2020 ARVO Annual Meeting abstract.
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