2型糖尿病患者糖尿病性视网膜病变发生的危险因素分析

目的 研究2型糖尿病(T2DM)患者糖尿病性视网膜病变(Diabetic retinopathy,DR)发生的危险因素,建立并验证DR风险的预测模型,以测DR的发生风险,从而减少不良结局的发生.方法 以2019年于我院内分泌确诊为T2DM并于眼科就诊的60例病例为研究对象.采用随机数字表法将入组病例分为模型组和检验组,...

Risk factors of diabetic retinopathy in patients with type 2 diabetes mellitus

Objective To explore the risk factors of diabetic retinopathy (DR) in patients with type 2 diabetes mellitus(T2DM),construct and verify the DR risk prediction model,to measure the risk of DR and reduce adverse outcomes.Methods Sixty patients diagnosed with T2DM in our hospital in the department of endocrine and went to the department of ophthalmology in 2019 were selected.They were divided into the model group and the test group using the random number table method,with 51 patients and 9 patients in each group,respectively.The SPSS 22.0 software was used for comparison between the two groups.The univariate and multivariate Logistic analyses were conducted for the model group to obtain the relevant risk factors for the occurrence of DR.Based on this,the DR risk prediction model was constructed.The predictive effectiveness of the model was evaluated by substituting the test group into the model.The receiver operating curve was drawn using MedCale software.Results The results of multivariate Logistic regression analysis suggested that the number of hospital admissions,whether insulin was injected,whether medication was injected into eyes,and urine protein were the main risk factors for DR.Urea and triacylglycerol were protective factors for DR.Based on this,the constructed DR risk prediction model was Y=1/[1+e (1.257X1+2.068X2+5.085X3-0.266X4-0.802X5+0.543X6-0.82)],where Y referred to the probability of the occurrence of DR,X1 referred to the number of hospital admissions,X2 referred to whether insulin was injected,X3 referred to whether medication was injected into eyes,X4 referred to urea,X5 referred to triacylglycerol,and X6 referred to urine protein.The area under the ROC curve of the DR risk prediction model predicting the occurrence of DR in the model group was 0.88,and the diagnostic critical value was 1.5697.The area under the ROC curve of the DR risk prediction model predicting the occurrence of DR in the test group was 0.951,the sensitivity was 0.933,the specificity was 0.857,the missed diagnosis rate was 0.067,and the misdiagnosis rate was 0.143.Conclusion The prediction model constructed in this study based on the above risk factors of DR has a certain predictive effectiveness and can provide a basis for the prevention and screening of DR.