Abstract:Objective: To analyze the correlation between glycosylation gap (GG) and diabetic retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM). Methods: A total of 90 patients with T2DM were admitted to the hospital from September 2021 to April 2022. They were divided into the T2DM group (n=30) and T2DR group (n=60) according to the presence or absence of DR. Univariate analysis and multivariate analysis were performed to screen the risk factors of DR, and the ROC curve was plotted to analyze the predictive value of GG for DR in patients with T2DM. Results: Linear regression analysis showed that there was a linear regression relationship between HbA1c and FA (P<0.05). Univariate analysis showed that blood urea nitrogen (BUN), serum albumin (ALB), HbA1c, and GG were significantly different in the 2 groups (P<0.05). Multivariate logistic regression analysis showed that GG was a risk factor for DR in patients with T2DM (P<0.05). The ROC analysis results showed that the AUC of GG for predicting DR was 0.777. Conclusion: GG is a risk factor for DR in patients with T2DM, and maybe a marker for predicting the occurrence of DR.
孙杏杏, 徐礼五, 刘晓蓉, 吴翔, 时照明. 糖基化间隙与2型糖尿病视网膜病变的相关性研究[J]. 河北医学, 2023, 29(2): 298-302.
SUN Xingxing, et al. Correlation between Glycosylation Gap and Type 2 Diabetic Retinopathy. HeBei Med, 2023, 29(2): 298-302.
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