Singapore Eye Research Institute, Singapore National Eye Centre, Singapore.
Am J Ophthalmol. 2012 Oct;154(4):663-674.e1. doi: 10.1016/j.ajo.2012.04.016. Epub 2012 Jul 27.
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.
Population-based cross-sectional study.
Fractal analysis of the retinal vessels is a method to quantify the global geometric complexity of the retinal vasculature. Retinal vascular fractal dimension (D(f)) and caliber were measured from retinal photographs using a computer-assisted program. D(f) 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.
Two thousand nine hundred thirteen (88.8% of 3280 participants) persons had retinal photographs of sufficient quality for the measurement. The mean D(f) 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 D(f) 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).
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.
在新加坡马来人眼研究中，研究一系列心血管危险因素和眼部状况对视网膜血管分形维数的影响。
基于人群的横断面研究。
视网膜血管分形分析是一种量化视网膜血管整体几何复杂性的方法。使用计算机辅助程序从视网膜照片中测量视网膜血管分形维数（D(f)）和口径。D(f)和小动脉口径结合形成视网膜血管优化评分（范围为 0 至 3）。根据标准化方案从所有参与者中收集心血管和眼部因素的数据。
2913 人（3280 名参与者中的 88.8%）的视网膜照片质量足以进行测量。平均 D(f)为 1.405（标准差为 0.046；四分位间距为 1.243 至 1.542）。在多元线性回归分析中，在校正性别、血清葡萄糖、眼内压、前房深度和视网膜血管口径后，较小的 D(f)与年龄较大（标准化回归系数[sβ] = -0.311；P<.001）、平均动脉血压较高（sβ = -0.085；P<.001）、更近视的等效球镜（sβ = 0.152；P<.001）和白内障的存在独立相关（sβ = -0.107；P<.001）。视网膜血管优化评分与平均动脉血压显著相关（趋势 P>.001）。
年龄、血压、屈光不正和晶状体混浊对视网膜血管分形测量有显著影响。结合分形和口径的新视网膜血管优化评分与血压有很强的关联。视网膜血管的定量分析因此可能提供有关微血管结构和优化的额外信息。
