Dataset Information

Foveal Curvature and Its Associations in UK Biobank Participants.

ABSTRACT:

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.

SUBMITTER: Olvera-Barrios A

PROVIDER: S-EPMC9344217 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature

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Publications

Foveal Curvature and Its Associations in UK Biobank Participants.

Olvera-Barrios Abraham A Kihara Yuka Y Wu Yue Y N Warwick Alasdair A Müller Philipp L PL Williams Katie M KM Rudnicka Alicja R AR Owen Christopher G CG Lee Aaron Y AY Egan Catherine C Tufail Adnan A

Investigative ophthalmology & visual science 20220701 8

<h4>Purpose</h4>To examine whether sociodemographic, and ocular factors relate to optical coherence tomography (OCT)-derived foveal curvature (FC) in healthy individuals.<h4>Methods</h4>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), v ...[more]

PMID: 35900728

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Dataset Information

Foveal Curvature and Its Associations in UK Biobank Participants.

Purpose

Methods

Results

Conclusions

Publications

Foveal Curvature and Its Associations in UK Biobank Participants.

Similar Datasets

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