OCTA在糖尿病肾病无创评估中的应用进展
摘要
重要原因之一。目前临床主要依赖估算肾小球滤过率(estimated glomerular filtration rate,eGFR)和尿白蛋白/尿肌酐
比值(urinary albumin-to-creatinine ratio,UACR)对DKD进行评估。但这些指标更多反映肾功能受损后的变化,对
于早期微血管结构异常的识别能力仍较有限。光学相干断层扫描血管成像(optical coherence tomography angiography,
OCTA)作为一种高分辨率、无创的微循环成像技术,可对视网膜微血管进行分层定量分析。近年来研究提示,视
网膜与肾小球微血管在结构组成、血流动力学及病理反应方面具有一定相似性,提示视网膜微循环可能成为评估
DKD微血管损伤的“窗口”。多项研究表明,OCTA相关参数与eGFR、UACR等肾功能指标存在一定相关性,在
DKD早期识别、风险分层及疾病进展评估中具有潜在应用价值。本文围绕OCTA相关定量指标的病理学意义,梳理
其在DKD早期识别、风险分层及疾病进展评估中的研究进展,并对当前局限性及未来发展方向进行探讨,为DKD
无创评估提供理论依据。
关键词
全文:
PDF参考
[1]Hanouneh M, Echouffo Tcheugui J B, Jaar B G.
Recent advances in diabetic kidney disease[J]. BMC medicine,
2021, 19(1): 180.
[2]Chandra M, Susianti H, Hanggara D S. Hubungan
Copeptin dengan Estimated Glomerular Filtration Rate (eGFR)
dan Urine Albumin Creatinine Ratio (UACR) pada pasien
nefropati diabetik[J]. Intisari Sains Medis, 2024, 15(1): 78-85.
[3]Farrah T E, Dhillon B, Keane P A, et al. The eye, the
kidney, and cardiovascular disease: old concepts, better tools, and
new horizons[J]. Kidney international, 2020, 98(2): 323-342.
[4]Sun Z, Yang D, Tang Z, et al. Optical coherence
tomography angiography in diabetic retinopathy: an updated
review[J]. Eye, 2021, 35(1): 149-161.
[5]Yang N, Li M X, Peng X Y. Effects of intensive
insulin therapy on the retinal microvasculature in patients with
type 2 diabetes mellitus: a prospective observational study[J].
BMC ophthalmology, 2022, 22(1): 187.
[6]Xu Y, Xiang Z, E W, et al. Single-cell transcriptomes
reveal a molecular link between diabetic kidney and retinal
lesions[J]. Communications Biology, 2023, 6(1): 912.
[7]Tang S, An X, Sun W, et al. Parallelism and nonparallelism in diabetic nephropathy and diabetic retinopathy[J].
Frontiers in Endocrinology, 2024, 15: 1336123.
[8]李小豪,张丽,李慧,等.OCTA检测糖尿病肾
病患者黄斑区及视盘周围的微循环和结构改变[J].国际眼
科杂志,2022,22(2):280-286.
[9]Lin W, Chen X, Wang L, et al. Optical coherence
tomography angiography for the differentiation of diabetic
nephropathy from non-diabetic renal disease[J]. Photodiagnosis
and Photodynamic Therapy, 2024, 46: 104099.
[10]陆丽娇,徐楠,刘鑫鑫,等.基于OCTA构建
糖尿病肾脏病临床预测模型[J].中山大学学报(医学科学
版),2024,45(2):253-260.
Refbacks
- 当前没有refback。
