Objective To study relationship between hemoglobin-AGE (Hb-AGE) levels and diabetic retinopathy (DR) in diabetics. Methods Hb-AGE content of 125 type 2 diabetic patients with or without DR was measured by competitive ELISA technique and compared with that of 50 normal controls. Results Hb-AGE level in type 2 diabetic patients was 65% higher than that in normal individuals (Plt;0.01), and Hb-AGE level in the patients with DR was significantly higher than patients with DR was significantly higher than that in those without DR (Plt;0.05). It was found that fasting plasma glucose (FPG) level was not directly correlated with Bb-AGE levels and development of DR ,but HbAc,plasma lipid and blood pressure were related to the both (Plt;0.05 or Plt;0.01). Multivariate analysis showed that there was closer relationship between seriousness degree of DR and Hb-AGE (partial correlation coefficient was 0.604,Plt;0.001). Conclusion Diabetic control is related to alterations in vivo Hb-AGE,which may contribute to occurrence and developement of DR in type 2 diabetes mellitus. (Chin J Ocul Fundus Dis,2000,16:147-149)
Objective To investigate the relationship between diabetic retinopathy (DR) and coronary atherosclerosis (CAS) in type 2 diabetes patients and other risk factors of DR. Methods A total of 118 patients of type 2 diabetes with DR (DR group), 120 patients of type 2 diabetes without DR matched in age and sex (non-DR group), and 86 normal controls (control group) were enrolled in this study. The body mass index (BMI), blood pressure (BP), fasting blood-glucose (FPG), glycosylated haemoglobin (HbA1C), total cholesterol (TC), triglyceride (TG), high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterin (LDL-C), creatinine, estimate glomerular filtration rate (eGFR) and urinary albumin excretion rate(UAER) in all the subjects were measured. Meanwhile, the incidence of CAS in the three groups was detected by 64slice multidetector computed tomography angiography (MDCTA). Assume concurrent DR as dependent variable, clinical indicators and laboratory parameters as independent variable, the risk factors were determined by Logistic regression analysis. In addition, CAS as dependent variable, DR as fixed factor, analysis of covariance was used to investigate the relationship between CAS and DR. Results The incidence of CAS in DR group was higher than that in nonDR group and control group, the differences were statistically significant (chi;2=26.9,35.5;P＜0.05). The results of Logistic regression analysis showed that systolic BP, BMI, CAS, myocardial infarction and UAER were key risk factors for DR ［odds ratio (OR)=1.02, 0.89, 4.50, 3.89, 1.34;P＜0.05］. There was a negative relationship between BMI and DR. The results of analysis of covariance showed that there was significant correlation between CAS and DR (OR=5.31, 95% confidence interval=2.62-10.60; P＜0.05). Conclusion CAS is independently associated with DR in type 2 diabetes patients. In addition, the other risk factors for DR include systolic BP, BMI, myocardial infarction and UAER.