Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.ajo.2012.04.016
Title: Retinal vascular fractal dimension and its relationship with cardiovascular and ocular risk factors
Authors: Cheung, C.Y. 
Thomas, G.N.
Tay, W.
Ikram, M.K.
Hsu, W. 
Lee, M.L. 
Lau, Q.P. 
Wong, T.Y. 
Issue Date: 2012
Source: Cheung, C.Y., Thomas, G.N., Tay, W., Ikram, M.K., Hsu, W., Lee, M.L., Lau, Q.P., Wong, T.Y. (2012). Retinal vascular fractal dimension and its relationship with cardiovascular and ocular risk factors. American Journal of Ophthalmology 154 (4) : 663-674. ScholarBank@NUS Repository. https://doi.org/10.1016/j.ajo.2012.04.016
Abstract: Purpose: To examine the influence of a range of cardiovascular risk factors and ocular conditions on retinal vascular fractal dimension in the Singapore Malay Eye Study. Design: Population-based cross-sectional study. Methods: Fractal analysis of the retinal vessels is a method to quantify the global geometric complexity of the retinal vasculature. Retinal vascular fractal dimension (Df) and caliber were measured from retinal photographs using a computer-assisted program. Df and arteriolar caliber were combined to form a retinal vascular optimality score (ranging from 0 to 3). Data on cardiovascular and ocular factors were collected from all participants based on a standardized protocol. Results: Two thousand nine hundred thirteen (88.8% of 3280 participants) persons had retinal photographs of sufficient quality for the measurement. The mean Df was 1.405 (standard deviation, 0.046; interquartile range, 1.243 to 1.542). In the multiple linear regression analysis, after controlling for gender, serum glucose, intraocular pressure, anterior chamber depth, and retinal vascular caliber, smaller Df was associated independently with older age (standardized regression coefficient [sβ] = -0.311; P <.001), higher mean arterial blood pressure (sβ = -0.085; P <.001), a more myopic spherical equivalent (sβ = 0.152; P <.001), and presence of cataract (sβ = -0.107; P <.001). Retinal vascular optimality score was associated significantly with higher mean arterial blood pressure (P >.001 for trend). Conclusions: Age, blood pressure, refractive error, and lens opacity had significant influence on retinal vascular fractal measurements. A new score of retinal vascular optimality combining fractals and caliber showed strong association with blood pressure. Quantitative analysis of retinal vasculature therefore may provide additional information on microvascular architecture and optimality. © 2012 Elsevier Inc.
Source Title: American Journal of Ophthalmology
URI: http://scholarbank.nus.edu.sg/handle/10635/43064
ISSN: 00029394
DOI: 10.1016/j.ajo.2012.04.016
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