Analysis of Related Factors of Corneal Nerve Damage in Patients with Type 2 Diabetes

目的:探讨2型糖尿病(Type 2 Diabetes Mellitus, T2DM)患者各项临床及生化指标与糖尿病角膜神经病变的相关性。方法:选择2024年4月至2024年10月我院收治的75例(150眼) T2DM患者为研究对象。利用Pearson相关性分析比较一般资料及生化指标与角膜上皮下神经丛神经纤维长度、密度之间的相关性。构建多重线性回归分析筛选糖尿病角膜神经病变的相关危险因素。按照血尿酸水平三分位间距将所收集的T2DM患者分为3组:A组(SUA 366 μmol/L, n = 25),进一步分析尿酸水平与角膜神经参数的关系。按照是否存在糖尿病视网膜病变将所收集的T2DM患者分为2组,探讨患者眼底视网膜病变与角膜神经参数的关系。结果:(1) 糖化血红蛋白、糖尿病病程、尿酸、肌酐与角膜神经长度负相关,糖化血红蛋白、肌酐与主干神经密度负相关,糖尿病病程、肌酐、尿酸与分支神经密度负相关(P均P均P P > 0.05)。(4) 按照是否存在糖尿病视网膜病变分组,存在糖尿病视网膜病变的患者角膜神经长度及主干神经密度均低于无糖尿病视网膜病变的患者,差异有统计学意义(P Objective: To investigate the correlation between the clinical and biochemical indexes of type 2 diabetes (T2DM) patients and diabetes corneal neuropathy. Method: 75 T2DM patients admitted to our hospital from April 2024 to October 2024 were selected as the study subjects. Using Pearson correlation analysis and multiple linear regression analysis to compare the correlation between general data and biochemical indicators and the length and density of corneal basal plexus nerve fibers under confocal microscopy. The enrolled patients with type 2 diabetes mellitus were stratified into three groups according to serum uric acid (SUA) level tertiles: Group A (SUA 366 μmol/L, n = 25), to further analyze the impact of uric acid levels on corneal nerve parameters. Additionally, patients were divided into two groups based on the presence or absence of diabetic retinopathy (DR) to investigate the relationship between retinal pathology and corneal nerve parameters. Result: (1) Glycated hemoglobin (HbA1c), diabetes duration, uric acid, and creatinine levels showed negative correlations with corneal nerve fiber length (CNFL) (P P P P P > 0.05). (4) According to whether DR exists, the corneal nerve length and main nerve density of DR patients are lower than those of NDR T2DM patients (P < 0.05). Conclusion: Hyperuricemia, poor glycemic control, and prolonged diabetes duration were significantly associated with diabetic corneal neuropathy. T2DM patients with hyperuricemia exhibited more severe corneal nerve damage, highlighting the importance of uric acid management in this population. Moreover, the presence of diabetic retinopathy was correlated with a higher risk of corneal neuropathic changes, suggesting that corneal nerve evaluation should be incorporated into routine ophthalmic follow-up, particularly during fundus examinations in diabetic patients.

Authors

Publication Details

Journal
Advances in Clinical Medicine
Published
2025-01-01
DOI
https://doi.org/10.12677/acm.2025.1561783
Primary Topic
Ocular Surface and Contact Lens
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Related Factors of Corneal Nerve Damage in Patients with Type 2 Diabetes

雯丹 郑
Advances in Clinical Medicine
Ocular Surface and Contact Lens
article

Analysis of Related Factors of Corneal Nerve Damage in Patients with Type 2 Diabetes

雯丹 郑
article en

Abstract

目的:探讨2型糖尿病(Type 2 Diabetes Mellitus, T2DM)患者各项临床及生化指标与糖尿病角膜神经病变的相关性。方法:选择2024年4月至2024年10月我院收治的75例(150眼) T2DM患者为研究对象。利用Pearson相关性分析比较一般资料及生化指标与角膜上皮下神经丛神经纤维长度、密度之间的相关性。构建多重线性回归分析筛选糖尿病角膜神经病变的相关危险因素。按照血尿酸水平三分位间距将所收集的T2DM患者分为3组:A组(SUA 366 μmol/L, n = 25),进一步分析尿酸水平与角膜神经参数的关系。按照是否存在糖尿病视网膜病变将所收集的T2DM患者分为2组,探讨患者眼底视网膜病变与角膜神经参数的关系。结果:(1) 糖化血红蛋白、糖尿病病程、尿酸、肌酐与角膜神经长度负相关,糖化血红蛋白、肌酐与主干神经密度负相关,糖尿病病程、肌酐、尿酸与分支神经密度负相关(P均P均P P > 0.05)。(4) 按照是否存在糖尿病视网膜病变分组,存在糖尿病视网膜病变的患者角膜神经长度及主干神经密度均低于无糖尿病视网膜病变的患者,差异有统计学意义(P Objective: To investigate the correlation between the clinical and biochemical indexes of type 2 diabetes (T2DM) patients and diabetes corneal neuropathy. Method: 75 T2DM patients admitted to our hospital from April 2024 to October 2024 were selected as the study subjects. Using Pearson correlation analysis and multiple linear regression analysis to compare the correlation between general data and biochemical indicators and the length and density of corneal basal plexus nerve fibers under confocal microscopy. The enrolled patients with type 2 diabetes mellitus were stratified into three groups according to serum uric acid (SUA) level tertiles: Group A (SUA 366 μmol/L, n = 25), to further analyze the impact of uric acid levels on corneal nerve parameters. Additionally, patients were divided into two groups based on the presence or absence of diabetic retinopathy (DR) to investigate the relationship between retinal pathology and corneal nerve parameters. Result: (1) Glycated hemoglobin (HbA1c), diabetes duration, uric acid, and creatinine levels showed negative correlations with corneal nerve fiber length (CNFL) (P P P P P > 0.05). (4) According to whether DR exists, the corneal nerve length and main nerve density of DR patients are lower than those of NDR T2DM patients (P < 0.05). Conclusion: Hyperuricemia, poor glycemic control, and prolonged diabetes duration were significantly associated with diabetic corneal neuropathy. T2DM patients with hyperuricemia exhibited more severe corneal nerve damage, highlighting the importance of uric acid management in this population. Moreover, the presence of diabetic retinopathy was correlated with a higher risk of corneal neuropathic changes, suggesting that corneal nerve evaluation should be incorporated into routine ophthalmic follow-up, particularly during fundus examinations in diabetic patients.

Advances in Clinical MedicineVol. 15(06)
Good health and well-being
Openalex Percentile: Top 81%
Ocular Surface and Contact Lens
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Analysis of Related Factors of Corneal Nerve Damage in Patients with Type 2 Diabetes — 雯丹 郑 · Advances in Clinical Medicine (2025) | TGRS Research Map | TGRS