Department of Ophthalmology and Visual Science, University of Chicago Medical Center, Chicago, IL 60637, USA.
University of Chicago, Chicago, IL 60637, USA.
Cells. 2021 Mar 4;10(3):551. doi: 10.3390/cells10030551.
This is a cross-sectional, prospective study of a population of black diabetic participants without diabetic retinopathy aimed to investigate optical coherence tomography angiography (OCTA) characteristics and correlations with systemic diseases in this population. These parameters could serve as novel biomarkers for microvascular complications; especially in black populations which are more vulnerable to diabetic microvascular complications. Linear mixed models were used to obtain OCTA mean values ± standard deviation and analyze statistical correlations to systemic diseases. Variables showing significance on univariate mixed model analysis were further analyzed with multivariate mixed models. 92 eyes of 52 black adult subjects were included. After multivariate analysis; signal strength intensity (SSI) and heart disease had statistical correlations to superficial capillary plexus vessel density in our population. SSI and smoking status had statistical correlations to deep capillary plexus vessel density in a univariate analysis that persisted in part of the imaging subset in a multivariate analysis. Hyperlipidemia; hypertension; smoking status and pack-years; diabetes duration; creatinine; glomerular filtration rate; total cholesterol; hemoglobin A1C; and albumin-to-creatinine ratio were not significantly associated with any OCTA measurement in multivariate analysis. Our findings suggest that OCTA measures may serve as valuable biomarkers to track systemic vascular functioning in diabetes mellitus in black patients.
这是一项针对无糖尿病视网膜病变的黑人糖尿病患者人群的横断面、前瞻性研究,旨在研究该人群的光相干断层扫描血管造影(OCTA)特征及其与系统性疾病的相关性。这些参数可以作为微血管并发症的新型生物标志物;特别是在更容易发生糖尿病微血管并发症的黑人人群中。线性混合模型用于获得 OCTA 的平均值 ± 标准差,并分析与系统性疾病的统计学相关性。单变量混合模型分析显示有统计学意义的变量,进一步用多变量混合模型进行分析。纳入了 52 名黑人成年受试者的 92 只眼。多变量分析后;在我们的人群中,信号强度强度(SSI)和心脏病与浅层毛细血管丛血管密度有统计学相关性。SSI 和吸烟状况与深层毛细血管丛血管密度有统计学相关性,这在单变量分析中存在,但在多变量分析的部分成像子集中仍然存在。多变量分析中,高脂血症、高血压、吸烟状况和吸烟年数、糖尿病病程、肌酐、肾小球滤过率、总胆固醇、血红蛋白 A1C 和白蛋白/肌酐比值与任何 OCTA 测量均无显著相关性。我们的研究结果表明,OCTA 测量值可能是追踪黑人糖尿病患者全身血管功能的有价值的生物标志物。