Total retinal thickness is an important factor in evaluating diabetic retinal neurodegeneration.

IF 2 Q2 OPHTHALMOLOGY BMJ Open Ophthalmology Pub Date : 2024-11-07 DOI:10.1136/bmjophth-2024-001791
Noor-Us-Sabah Ahmad, Kristen Staggers, Kyungmoo Lee, Nitish Mehta, Amitha Domalpally, Benjamin J Frankfort, Yao Liu, Roomasa Channa
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Abstract

Objective: Macular retinal nerve fibre layer (mRNFL) and ganglion cell-inner plexiform layer thickness (GC-IPL) measurements are important markers of diabetic retinal neurodegeneration (DRN). In this cross-sectional study, we aimed to quantify the contribution of total retinal thickness (TRT) and other factors in the variation of mRNFL and GC-IPL thickness among participants with diabetes.

Methods and analysis: We used macular-centred spectral domain-optical coherence tomography scans from participants with diabetes in the UK Biobank. Two multiple linear regression models (prior to and after adjusting for TRT) were used to determine factors associated with mRNFL and GC-IPL thicknesses. A p value of less than 0.05 was considered statistically significant.

Results: A total of 3832 eyes from 3832 participants with diabetes were analysed. Factors that explained the greatest variation in thickness were TRT (20.9% for mRNFL and 57.2% for GC-IPL), followed by spherical equivalent (8.0% for mRNFL only), gender (2.2% for mRNFL only) and age (1.4% for GC-IPL only). Other factors significantly associated with mRNFL and/or GC-IPL thickness explained less than 1% of the variation in their thicknesses. Self-reported ancestral background was not significantly associated with mRNFL thickness after accounting for TRT.

Conclusions: Although many factors were significantly associated with mRNFL and GC-IPL thickness in participants with diabetes, they accounted for a fraction of the variation in the thickness of both layers. TRT explained most of the variation in these measurements, hence accounting for TRT is needed when using these metrics to evaluate DRN.

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视网膜总厚度是评估糖尿病视网膜神经变性的一个重要因素。
目的:黄斑视网膜神经纤维层(mRNFL)和神经节细胞-内丛状层厚度(GC-IPL)测量是糖尿病视网膜神经变性(DRN)的重要标志。在这项横断面研究中,我们旨在量化总视网膜厚度(TRT)和其他因素对糖尿病患者的 mRNFL 和 GC-IPL 厚度变化的影响:我们使用了英国生物库中糖尿病患者的黄斑中心光谱域光学相干断层扫描。我们使用了两个多元线性回归模型(调整 TRT 之前和之后)来确定与 mRNFL 和 GC-IPL 厚度相关的因素。P值小于0.05为具有统计学意义:共分析了 3832 位糖尿病患者的 3832 只眼睛。解释厚度变化最大的因素是TRT(mRNFL为20.9%,GC-IPL为57.2%),其次是球面等值(仅mRNFL为8.0%)、性别(仅mRNFL为2.2%)和年龄(仅GC-IPL为1.4%)。与 mRNFL 和/或 GC-IPL 厚度明显相关的其他因素对其厚度变化的解释不足 1%。在考虑TRT因素后,自我报告的祖先背景与mRNFL厚度无明显关联:结论:尽管许多因素与糖尿病患者的 mRNFL 和 GC-IPL 厚度有明显相关性,但它们只占这两层厚度变化的一小部分。TRT解释了这些测量值的大部分变化,因此在使用这些指标评估DRN时需要考虑TRT。
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来源期刊
BMJ Open Ophthalmology
BMJ Open Ophthalmology OPHTHALMOLOGY-
CiteScore
3.40
自引率
4.20%
发文量
104
审稿时长
20 weeks
期刊最新文献
Investigation of choroidal vascular alterations in eyes with myopia using ultrawidefield optical coherence tomography angiography. Recent advances in the application of artificial intelligence in age-related macular degeneration. Network-based hub biomarker discovery for glaucoma. Investigating the effects of simulated high altitude on colour discrimination. Total retinal thickness is an important factor in evaluating diabetic retinal neurodegeneration.
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