Centre for Vision Research, Westmead Institute for Medical Research, University of Sydney, Australia (G.L., B.G., A.J.W., G.B.M., P.M.).
Duke-NUS Medical School, National University of Singapore (T.Y.W.).
Stroke. 2021 Apr;52(4):1276-1282. doi: 10.1161/STROKEAHA.120.031886. Epub 2021 Feb 22.
Fractal analysis is a method of quantifying the branching complexity and density of the retinal vessels. We hypothesized that reduced fractal dimension, signifying a sparser vascular network, is associated with long-term stroke mortality.
We examined the relationship of fractal dimension and stroke mortality in a prospective, population-based cohort of 3143 participants aged 49 years or older. Fractal dimension was measured from digitized fundus photographs using a computer-automated method. Stroke mortality was documented from Australian National Death Index records. We defined reduced fractal dimension as values in the lowest quartile.
Over 12 years, there were 132 (4.2%) stroke-related deaths. Stroke-related mortality was higher in participants with reduced fractal dimension (lowest quartile) compared with the highest quartile (7.7% versus 1.3%, <0.01). After controlling for age, gender, smoking, blood pressure, history of stroke, and other factors, participants with reduced fractal dimension had higher stroke mortality (hazard ratio, 2.42 [95% CI, 1.15-5.07], lowest versus highest quartile). When modeled as a continuous variable, reduced fractal dimension was associated with increased stroke mortality (multivariable-adjusted hazard ratio, 1.26 [95% CI, 1.06-1.51], per SD decrease).
Reduced retinal vascular fractal dimension is independently associated with 12-year stroke mortality. Reduced fractal dimension may indicate cerebral tissue hypoxia and increased risk of stroke.
分形分析是一种量化视网膜血管分支复杂性和密度的方法。我们假设,分维数降低(表示血管网络更稀疏)与长期中风死亡率有关。
我们在一个前瞻性、基于人群的 3143 名年龄在 49 岁或以上的参与者队列中,研究了分形维数与中风死亡率之间的关系。使用计算机自动方法从数字化眼底照片中测量分形维数。从澳大利亚国家死亡指数记录中记录中风死亡率。我们将分形维数降低定义为处于最低四分位数的值。
在 12 年的时间里,有 132 人(4.2%)死于中风相关疾病。与分形维数较高的参与者相比(最低四分位数),分形维数降低的参与者(最低四分位数)的中风相关死亡率更高(7.7%对 1.3%,<0.01)。在校正年龄、性别、吸烟、血压、中风史和其他因素后,分形维数降低的参与者中风死亡率更高(危险比 2.42 [95%CI,1.15-5.07],最低与最高四分位数)。当作为连续变量建模时,分形维数降低与中风死亡率增加相关(多变量调整后的危险比 1.26 [95%CI,1.06-1.51],每标准差降低)。
视网膜血管分形维数降低与 12 年中风死亡率独立相关。分形维数降低可能表明脑组织缺氧和中风风险增加。