Ryuna Chang1, Andrew J Nelson1, Vivian LeTran1, Brian Vu1, Bruce Burkemper2, Zhongdi Chu3, Ali Fard4, Amir H Kashani1, Benjamin Y Xu1, Ruikang K Wang3, Rohit Varma2, Grace M Richter5. 1. USC Roski Eye Institute, Keck Medicine of University of Southern California, Los Angeles, California, USA. 2. Southern California Eyecare and Vision Research Institute, Los Angeles, California, USA. 3. Department of Bioengineering, University of Washington, Seattle, Washington, USA. 4. Carl Zeiss Meditec, Inc, Dublin, California, USA. 5. USC Roski Eye Institute, Keck Medicine of University of Southern California, Los Angeles, California, USA. Electronic address: grace.richter@med.usc.edu.
Abstract
PURPOSE: To determine the relationship between systemic factors and radial peripapillary capillary (RPC) vessel density (VD) in healthy African American (AA) participants of the African American Eye Disease Study. DESIGN: A population-based, cross-sectional study. METHODS: A total of 4135 eyes from 2127 AA participants aged 40 years and older in Inglewood, California, were imaged for 6×6-mm optic disc scans on a spectral-domain optical coherence tomography angiography (OCTA) device. Of these, 1029 eyes from 1029 participants who met the inclusion and exclusion criteria were analyzed, including only 1 eye per participant. Custom software was used to quantify RPC VD. Multivariate linear regression was used to identify systemic factors associated with RPC VD with a significance level set at 0.05. The contribution of each variable to the final model was estimated with the magnitude of standardized regression coefficients (SRCs). The fit of the final model was measured by R2. RESULTS: The average RPC VD was 0.346±0.045. Controlling for signal strength, the systemic variables in the final multivariate model associated with reduced RPC VD were older age (β = -0.0123 per decade; SRC = -0.2733; P < .0001), male sex (β = -0.0067; SRC = -0.0716; P = .0060), and longer diabetes duration (β = -0.0022 per 5 years; SRC = -0.0527; P = .0427). The model R2 was 0.3689. CONCLUSIONS: Age, sex, and systemic influences, such as diabetes duration, need to be considered when assessing changes in RPC VD in glaucoma and other ocular diseases. Longitudinal studies are needed to investigate whether reduced RPC VD and the factors that affect it are associated with an increased risk of developing glaucomatous nerve damage.
PURPOSE: To determine the relationship between systemic factors and radial peripapillary capillary (RPC) vessel density (VD) in healthy African American (AA) participants of the African American Eye Disease Study. DESIGN: A population-based, cross-sectional study. METHODS: A total of 4135 eyes from 2127 AA participants aged 40 years and older in Inglewood, California, were imaged for 6×6-mm optic disc scans on a spectral-domain optical coherence tomography angiography (OCTA) device. Of these, 1029 eyes from 1029 participants who met the inclusion and exclusion criteria were analyzed, including only 1 eye per participant. Custom software was used to quantify RPC VD. Multivariate linear regression was used to identify systemic factors associated with RPC VD with a significance level set at 0.05. The contribution of each variable to the final model was estimated with the magnitude of standardized regression coefficients (SRCs). The fit of the final model was measured by R2. RESULTS: The average RPC VD was 0.346±0.045. Controlling for signal strength, the systemic variables in the final multivariate model associated with reduced RPC VD were older age (β = -0.0123 per decade; SRC = -0.2733; P < .0001), male sex (β = -0.0067; SRC = -0.0716; P = .0060), and longer diabetes duration (β = -0.0022 per 5 years; SRC = -0.0527; P = .0427). The model R2 was 0.3689. CONCLUSIONS:Age, sex, and systemic influences, such as diabetes duration, need to be considered when assessing changes in RPC VD in glaucoma and other ocular diseases. Longitudinal studies are needed to investigate whether reduced RPC VD and the factors that affect it are associated with an increased risk of developing glaucomatous nerve damage.
Authors: Tarek Alasil; Kaidi Wang; Pearse A Keane; Hang Lee; Neda Baniasadi; Johannes F de Boer; Teresa C Chen Journal: J Glaucoma Date: 2013-09 Impact factor: 2.503
Authors: Liang Liu; Yali Jia; Hana L Takusagawa; Alex D Pechauer; Beth Edmunds; Lorinna Lombardi; Ellen Davis; John C Morrison; David Huang Journal: JAMA Ophthalmol Date: 2015-09 Impact factor: 7.389
Authors: Anthony P Khawaja; Michelle P Y Chan; David F Garway-Heath; David C Broadway; Robert Luben; Justin C Sherwin; Shabina Hayat; Kay-Tee Khaw; Paul J Foster Journal: Invest Ophthalmol Vis Sci Date: 2013-07-26 Impact factor: 4.799
Authors: Harsha L Rao; Zia S Pradhan; Min Hee Suh; Sasan Moghimi; Kaweh Mansouri; Robert N Weinreb Journal: J Glaucoma Date: 2020-04 Impact factor: 2.290
Authors: Jae Chang Lee; Dominic J Grisafe; Bruce Burkemper; Brenda R Chang; Xiao Zhou; Zhongdi Chu; Ali Fard; Mary Durbin; Brandon J Wong; Brian J Song; Benjamin Y Xu; Ruikang Wang; Grace M Richter Journal: Br J Ophthalmol Date: 2020-09-11 Impact factor: 4.638
Authors: Lincoln T Shaw; Saira Khanna; Lindsay Y Chun; Rose C Dimitroyannis; Sarah H Rodriguez; Nathalie Massamba; Seenu M Hariprasad; Dimitra Skondra Journal: Cells Date: 2021-03-04 Impact factor: 6.600