糖尿病性黄斑水肿的光学相干断层成像不良视觉预后生物标志物与慢性肾病患者蛋白尿水平的相关性

S Menchaca Gutiérrez, L F Yañez Ortega, E Sánchez Hernández
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引用次数: 0

摘要

目的:探讨慢性肾病患者糖尿病性黄斑水肿OCT生物标志物与尿白蛋白水平的相关性。设计:这是一项回顾性、观察性、横断面性和分析性研究。参与者:所有在2021年3月至2022年8月期间在眼科视网膜科就诊并符合纳入标准的18岁以上糖尿病性黄斑水肿患者。方法:对诊断为糖尿病性黄斑水肿的患者进行资料收集。根据蛋白尿的3种类型对患者进行分组。收集并分析受累眼的OCT图像,并根据视觉预后不良的生物标志物的存在进行相应的细分。结果:采用卡方拟合优度检验来分析每种蛋白尿生物标志物的比例是否与每种蛋白尿水平相关。在视网膜外层缺乏完整性和蛋白尿的严重程度之间发现了直接的相关性。结论:考虑到一些生物标志物与蛋白尿存在的关系,OCT可以成为检测肾脏损害的有价值的工具,特别是外视网膜层的破坏,这可以作为晚期肾脏疾病的OCT生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Correlation between poor visual prognosis biomarkers by optical coherence tomography in diabetic macular edema and the level of albuminuria in patients with Chronic Kidney Disease.

Objective: To determine the correlation of Optical Coherence Tomography (OCT) biomarkers in diabetic macular edema with the level of albuminuria in patients with chronic kidney disease.

Design: This is a retrospective, observational, cross- sectional, and analytical study.

Participants: All patients over 18 years of age with diabetic macular edema who attended the retina department of the Ophthalmology service and met the inclusion criteria between March 2021 and August 2022.

Methods: Data collection was carried out by reviewing the records of patients diagnosed with diabetic macular edema. Patients were divided based on 3 categories of albuminuria. The OCT images of the affected eye were collected and analyzed, and the corresponding subdivision was made depending on the presence of biomarkers of poor visual prognosis.

Results: Chi-square goodness-of-fit tests were performed to analyze whether the proportion of biomarkers for each category of albuminuria was related to each level of albuminuria. A direct correlation was found between the lack of integrity of the outer retina layers and the severity of albuminuria.

Conclusions: OCT can be a valuable tool for the detection of kidney damage when considering the relationship of some biomarkers with the presence of albuminuria, especially the disruption of the outer retina layers, which can be an OCT biomarker of advanced kidney disease.

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