TY - JOUR
T1 - Foveal Curvature and Its Associations in UK Biobank Participants
AU - UK Biobank Eyes and Vision Consortium
AU - Olvera-Barrios, Abraham
AU - Kihara, Yuka
AU - Wu, Yue
AU - N Warwick, Alasdair
AU - Müller, Philipp L.
AU - Williams, Katie M.
AU - Rudnicka, Alicja R.
AU - Owen, Christopher G.
AU - Lee, Aaron Y.
AU - Egan, Catherine
AU - Tufail, Adnan
N1 - Funding Information:
Supported by the National Institute for Health Research (NIHR) Biomedical Research Centre based at Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology (support to A.T. and C.E.), and the Special Trustees of Moorfields Eye Hospital (support to UK Biobank Eye and Vision Consortium), the Mexican Council of Science and Technology (CONACYT, grant #2018-000009-01EXTF-00573 to AOB), the UCL Welcome Trust PhD Programme for Clinicians (220558/Z/20/Z to ANW), the National Eye Institute (NIH/NEI, grant # K23EY029246 to AYL), the Lantham Vision Innovation Award (grant to AYL), the Research to Prevent Blindness (grant to AYL). The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health or the US Food and Drug Administration. The funder had no role in study design, data collection, analysis, or interpretation, or the writing of the report.
Publisher Copyright:
© Copyright 2022 The Authors.
PY - 2022/7/8
Y1 - 2022/7/8
N2 - Purpose: To examine whether sociodemographic, and ocular factors relate to optical coherence tomography (OCT)-derived foveal curvature (FC) in healthy individuals. Methods: We developed a deep learning model to quantify OCT-derived FC from 63,939 participants (age range, 39-70 years). Associations of FC with sociodemographic, and ocular factors were obtained using multilevel regression analysis (to allow for right and left eyes) adjusting for age, sex, ethnicity, height (model 1), visual acuity, spherical equivalent, corneal astigmatism, center point retinal thickness (CPRT), intraocular pressure (model 2), deprivation (Townsend index), higher education, annual income, and birth order (model 3). Fovea curvature was modeled as a z-score. Results: Males had on average steeper FC (0.077; 95% confidence interval [CI] 0.077-0.078) than females (0.068; 95% CI 0.068-0.069). Compared with whites, non-white individuals showed flatter FC, particularly those of black ethnicity. In black males, -0.80 standard deviation (SD) change when compared with whites (95% CI -0.89, -0.71; P 5.2e10-68). In black females, -0.70 SD change when compared with whites (95% CI -0.77, -0.63; p 2.3e10-93). Ocular factors (visual acuity, refractive status, and CPRT) showed a graded inverse association with FC that persisted after adjustment. Macular curvature showed a positive association with FC. Income showed a linear trend increase in males (P for linear trend = 0.005). Conclusions: We demonstrate marked differences in FC with ethnicity on the largest cohort studied for this purpose to date. Ocular factors showed a graded association with FC. Implementation of FC quantification in research and on the clinical setting can enhance the understanding of clinical macular phenotypes in health and disease.
AB - Purpose: To examine whether sociodemographic, and ocular factors relate to optical coherence tomography (OCT)-derived foveal curvature (FC) in healthy individuals. Methods: We developed a deep learning model to quantify OCT-derived FC from 63,939 participants (age range, 39-70 years). Associations of FC with sociodemographic, and ocular factors were obtained using multilevel regression analysis (to allow for right and left eyes) adjusting for age, sex, ethnicity, height (model 1), visual acuity, spherical equivalent, corneal astigmatism, center point retinal thickness (CPRT), intraocular pressure (model 2), deprivation (Townsend index), higher education, annual income, and birth order (model 3). Fovea curvature was modeled as a z-score. Results: Males had on average steeper FC (0.077; 95% confidence interval [CI] 0.077-0.078) than females (0.068; 95% CI 0.068-0.069). Compared with whites, non-white individuals showed flatter FC, particularly those of black ethnicity. In black males, -0.80 standard deviation (SD) change when compared with whites (95% CI -0.89, -0.71; P 5.2e10-68). In black females, -0.70 SD change when compared with whites (95% CI -0.77, -0.63; p 2.3e10-93). Ocular factors (visual acuity, refractive status, and CPRT) showed a graded inverse association with FC that persisted after adjustment. Macular curvature showed a positive association with FC. Income showed a linear trend increase in males (P for linear trend = 0.005). Conclusions: We demonstrate marked differences in FC with ethnicity on the largest cohort studied for this purpose to date. Ocular factors showed a graded association with FC. Implementation of FC quantification in research and on the clinical setting can enhance the understanding of clinical macular phenotypes in health and disease.
UR - http://www.scopus.com/inward/record.url?scp=85135203170&partnerID=8YFLogxK
U2 - 10.1167/iovs.63.8.26
DO - 10.1167/iovs.63.8.26
M3 - Article
C2 - 35900728
AN - SCOPUS:85135203170
SN - 1552-5783
VL - 63
SP - 26
JO - Investigative ophthalmology & visual science
JF - Investigative ophthalmology & visual science
IS - 8
M1 - 26
ER -