Lian Xue-Nan, Zhu Ming-Ming
School of Graduate Studies, Hebei North University, Zhangjiakou, China.
Department of Endocrinology, Handan Central Hospital, Handan, China.
Front Endocrinol (Lausanne). 2024 Nov 20;15:1484197. doi: 10.3389/fendo.2024.1484197. eCollection 2024.
To compare the differences in clinical-related factors between patients with type 2 diabetes (T2DM) and those without diabetic retinopathy (DR) and to explore the risk factors or protective factors affecting DR in T2DM patients.
We performed a retrospective analysis of 380 patients with type 2 diabetes admitted to Handan Central Hospital from June 2023 to May 2024. Clinical data collected included baseline characteristics, hematological tests, metabolic indicators, and information on diabetic complications and comorbidities.
Our findings identified intervention, neck vascular disease, bilateral lower limb venous thrombosis, high creatinine, high glomerular filtration rate, high chloride, high fasting C-peptide, and high lactate dehydrogenase as risk factors for DR. In contrast, High 2-hour postprandial C-peptide is a protective factor for diabetic retinopathy. A logistic regression model was constructed using stepwise regression to predict DR occurrence, achieving an accuracy of 0.80 and an AUC of 0.83.
比较2型糖尿病（T2DM）患者和无糖尿病视网膜病变（DR）患者临床相关因素的差异，探讨影响T2DM患者DR的危险因素或保护因素。
对2023年6月至2024年5月在邯郸市中心医院住院的380例2型糖尿病患者进行回顾性分析。收集的临床资料包括基线特征、血液学检查、代谢指标以及糖尿病并发症和合并症信息。
我们的研究结果确定干预、颈部血管疾病、双侧下肢静脉血栓形成、高肌酐、高肾小球滤过率、高氯、高空腹C肽和高乳酸脱氢酶为DR的危险因素。相比之下，高餐后2小时C肽是糖尿病视网膜病变的保护因素。采用逐步回归构建逻辑回归模型预测DR的发生，准确率为0.80，AUC为0.83。
