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.
Objective To determine the clinical efficacy of probucol in patients with diabetic macular edema (DME) and elevated serum lipids after focal/grid laser photocoagulation. Methods A prospective randomized controlled study included 48 type 2 diabetic patients with DME and dyslipidemia which were randomly divided into three groups. For patients with bilateral disease only the more severe eye was included. All patients were subjected to strict metabolic and blood pressure control during enrollment. All cases received macular laser photocoagulation. Besides, sixteen patients in group A were treated with probucol, 16 members in group B with atorvastatin and 16 members in group C were not treated with any lipid-lowering therapy for about three months. The outcome measurements were status of macular edema and hard exudates, visual acuity, foveal thickness, serum lipids and urine 8-hydroxydeoxyguanosine (8-OHdG) during the three months. Results The study included 20 men and 28 women with noninsulin dependent diabetes mellitus who could achieve good metabolic and blood pressure control within three months of inclusion in the study. Thirteen of 16 patients in group A, twelve of 16 patients in group B and five of 16 patients in group C showed reduction in hard exudates. Regression of macular edema was seen in twelve patients in group A, 11 in group B and eight in group C (χ2=2.368,P＞0.05). The difference of foveal thickness in group A, B and C was statistically significant (t=4.929, 4.669; P=0.000). Nine patients in group A, eight in group B and six in group C showed improving of visual acuity (χ2=1.169,P＞0.05). Three months after treatment, triglycerides (TG) (t=7.954, 6.832; P＜0.05), total cholesterol (TC) (t=6.643, 5.368; P＜0.05) and low-density lipoprotein cholesterol (LDLC) (t=3.279, 3.835; P＜0.05) decreased in group A and group B but not in group C, and high-density lipoprotein cholesterol showed no significant difference in the three groups. 8-OHdG decreased gradually during the first and third month in group A and group B but not in group C. In the first month post treatment, 8-OHdG showed no difference between group A and group B. In the third month, the 8-OHdG was lower in group A than group B, and the difference was statistically significant (t=2.947,P＜0.05). ConclusionsIn type 2 diabetes patients with DME and dyslipidemia, oral probucol can reduce the severity of hard exudates and macular edema, improve the visual acuity, and inhibit the levels of TG, TC, LDLC and 5-OHdG. The effect of probucol was similar to atorvastatin. Probucol could be an adjunct treatment of those patients.
Objective To explore the related risk factors for diabetic retinopathy (DR) in type 2 diabetes. Methods The clinical data of 412 type 2 diabetes patients, diagnosed between 2003 and 2010, were analyzed retrospectively. The diagnosis of DR and proliferative diabetic retinopathy (PDR) was confirmed by ophthalmoloscopy and fundus fluorescein angiography. Glycated hemoglobin A1c, glucose, insulin, and Cpeptide of fasting plasma, and 1, 2 and 3 hours postprandial plasma were measured. According to the abovementioned data, get the fluctuation of glucose, insulin and C-peptide of 1, 2 and 3 hour postprandial plasma. Results The morbidity of DR and PDR increased following the longer disease duration. Age, diabetic duration，body mass index (BMI), hypertension grade, HbA1C, fasting plasma insulin and C-peptide, 2 and 3 hours postprandial plasma glucose, 1 and 2 hours postprandial plasma insulin, 1, 2 and 3 hour postprandial plasma C-peptide, 1, 2 and 3 hours postprandial plasma glucose, insulin and C-peptide fluctuation are different statistically among non-DR group, non-PDR group and PDR group (P＜0.05). 3 hours postprandial plasma glucose and fasting plasma insulin were risk factors of DR (P＜0.05). Conclusions Postprandial plasma glucose and fasting plasma insulin were risk factors of DR. Nevertheless, postprandial insulin, fasting and postprandial C-peptide, postprandial plasma glucose, insulin and C-peptide fluctuation were useful for DR diagnosis.
Objective To observe the amount of endothelial progenitor cells (EPCs) at different stages of diabetic retinopathy (DR) in patients with type 2 diabetes mellitus (DM). Methods Sixty patients with type 2 DM were divided into no DR (NDR) group, non-proliferative DR (NPDR)group and proliferative DR (PDR)group according to the examination of fundus and fundus fluorescein angiography, 20 patients in each group. Twenty healthy people were collected as the control group. 6 ml blood samples were taken from all the subjects, and then the EPCs contents in peripheral blood were detected by flow cytometry. Results The EPCs contents in peripheral blood of the control, NDR, NPDR and PDR group were (0.0179plusmn;0.0047)%, (0.0151plusmn;0.0086)%, (0.0123plusmn;0.1137)%, (0.0316plusmn;0.0 294)%. The EPCs contents in peripheral blood of the PDR group was significantly higher than those in others (chi;2=43.780, P＜0.05); the EPCs contents in peripheral blood of the NDR and NPDR group were slightly lower than that in the control group (chi;2=5.244, P=0.73); the EPCs contents in peripheral blood of the NPDR group was lower than that in the NDR group (chi;2=6.016, P=0.12). Conclusion The EPCs contents in peripheral blood decreases in NDR, NPDR patients, while significantly increases in PDR patients.
Objectives To assess the efficacy and safety of metformin plus rosiglitazone in treating type 2 diabetes mellitus. Methods Based on the principles and methods of Cochrane systematic reviews, we searched the CochraneLibrary (2008, 4 issue), PubMed (1966 to October 19, 2008), Embase (1974 to October 19, 2008), China BiomedicalLiterature Database (1978 to October 12, 2008), China Journal Fulltext Database (1994 to October 12, 2008), ChineseScientific Journals Full text Database (1989 to October 12, 2008). Randomized controlled trials (RCTs) of Metforminplus roziglitazone versus metformin for type 2 diabetes were included. We assessed the quality of the included RCTsaccording to the Cochrane Handbook for Systematic Reviews of Interventions Version 5.0.1. The Cochrane Collaboration’s software RevMan 5.0 was used for meta-analysis. Results Twelve RCTs totaling 3020 patients were included. Metaanalysis showed that Glycosylated hemoglobin levels [WMD= – 0.48%, 95%CI (– 0.74, – 0.22), P=0.000 3], fasting plasma glucose levels [WMD= – 1.03mmol/L, 95%CI (– 1.85, – 0.75), Plt;0.000 01], insulin sensitivity, and β-cell function improved significantly with metformin plus rosiglitazone therapy. Compared with the metformin monotherapy group, patients treated with metformin plus rosiglitazone had more edema events [RR= 3.27, 95%CI (1.80, 5.91), Plt;0.000 1] and lower gastro-intestinal events [RR= 0.82, 95%CI (0.71, 0.94), P=0.004]. We found no statistically significant effect on body weight, the percentage of patients with at least one adverse event, and hypoglycemia events. Conclusions Current evidence demonstrates that combination treatment with metformin plus rosiglitazone improves glycemic control, insulin sensitivity, and cells function more effectively than with metformin monotherapy. Side effects of two types of therapy have differences in performance.
ObjectiveTo investigate the risk factors for retinopathy in type 2 diabetes patients. MethodsA total of 112 patients with type 2 diabetes treated between December 2009 and December 2012 were divided into two groups. Fifty-two patients had no diabetic retinopathy (NDR group) and 60 had diabetic retinopathy (DR group). Blood pressure, blood lipids, and blood glucose were detected to analyze the correlation of retinopathy with disease course, blood pressure, blood lipid, and blood sugar. ResultsDisease course was longer and blood glucose level was higher in DR group than in NDR group (P<0.05). Logistic regression analysis results showed that the incidence of retinopathy was correlated with blood glucose[OR=1.490, 95% CI (1.123, 1.976), P=0.006] and disease course[OR=2.207, 95% CI (1.579, 3.085), P=0.000]. ConclusionBlood glucose and disease course may be the risk factors for DR. Active control of the blood glucose can be benefit for the prevention and treatment of DR.
Objective To investigate the relationship between subclinical hypothyroidism (SCH) and diabetic retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM). Methods A total of 792 patients of T2DM were enrolled in the study. There were 448 males and 344 females, with an average age of (54.13±13.06) years. The average duration of diabetes was (8.03±6.70) years. The patients were grouped according to the degree of DR and thyroid function. Among them, 483 patients (61.0%) were no DR, 240 patients (30.3%) were mild DR, 69 patients (8.7%) were severe DR. 725 patients (91.5%) were normal thyroid function, 67 patients (8.5%) were SCH. The prevalence of SCH among no DR group, mild DR group and severe DR group was compared. And the prevalence of DR between normal thyroid function group and SCH group was compared. Logistic regression analysis was used to estimate the association between SCH and DR. Results No significant differences among the three groups (no DR group, mild DR group, severe DR group) were found in the prevalence of SCH (χ2=1.823,P=0.402). There were no significant differences in the incidences of DR between normal thyroid function group and SCH group (χ2=1.618,P=0.239). Logistic regression analysis demonstrated that SCH was not significant associated with DR [mild DR: odds ratio (OR)=1.361, 95% confidence interval (CI)=0.773−2.399,P=0.286; severe DR:OR=1.326, 95%CI=0.520−3.384,P=0.555; DR:OR=1.353, 95%CI=0.798−2.294,P=0.261). Conclusion SCH is not significant associated with DR in patients with T2DM.
Objective To investigate the relationship between glomerular filtration rate (GFR) and diabetic retinopathy (DR) and macular thickness in patients with type 2 diabetes mellitus (T2DM). Methods A total of 161 T2DM inpatients were enrolled in this study. There were 95 males (95 eyes) and 66 females (66 eyes), with an average age of (62.2±11.0) years. The average duration of diabetes was (14.8±7.9) years. The patients were grouped according to the degree of DR. Among them, 91 patients were no DR, 24 patients were mild non-proliferative DR (NPDR), 24 patients were moderate NPDR, 13 patients were severe NPDR and 9 eyes were proliferative DR (PDR). Severe NPDR and PDR were combine into severe DR group for statistical analysis. All patients underwent direct ophthalmoscope, fundus colorized photography, spectral domain optical coherence tomography (SD-OCT), fasting blood-glucose, glycated hemoglobin and renal function examinations. GFR was evaluated by99 mTcDTPA. DR degree was evaluated by direct ophthalmoscope and fundus colorized photography. Central subfield (CSF), central macular volume and mean retinal thickness (MRT) were measure by SD-OCT. The correlation between GFR and DR staging and macular retinal thickness were analyzed by Spearman correlation analysis and Pearson correlation analysis. Logistic regression analysis was used to analyze the correlation between GFR and presence of DR. Results GFR was gradually decreased in patients with no DR, mild NPDR, moderate NPDR and severe DR (F=12.32,P＜0.001). Pearson correlation analysis demonstrated that GFR was negatively correlated to CSF (r=−0.202,P=0.010); but no correlation with MRT (r=−0.087,P=0.272). Spearman correlation analysis demonstrated that GFR was negatively correlated to DR staging (r=−0.325,P＜0.001). The difference of DR prevalence rate in normal, slight abnormal renal function and renal insufficiency patients was significant (χ2=12.32,P=0.002). Logistic regression analysis demonstrated that lower levels of GFR was significantly associated with presence of DR (95% confidence interval=1.71–4.32, odds ratio=2.72,P＜0.001). Conclusion In T2DM patients, GFR is negatively correlated to DR staging and CSF. Lower GFR is independent risk factors for DR.
Objective To observe the serum betatrophin levels in patients with type 2 diabetes mellitus (T2DM) and to explore the role of betatrophin in the pathogenesis of diabetic retinopathy (DR). Methods A total of 59 patients with T2DM (DM group) and 14 healthy controls (NC group) were enrolled in the study. Vision, slit lamp microscope, indirect ophthalmoscope, fluorescein fundus angiography were performed on all the subjects. According to the results of the examination combined with the international DR clinical staging criteria, the patients were divided into no DR (Non-DR) group, non-proliferative DR (NPDR) group, and proliferative DR (PDR) group, with 30, 20 and 9 patients in each, respectively. The fasting blood glucose (FPG), insulin (FIN), C-peptide, glycated hemoglobin (HbA1c), total cholesterol (TC), triglyceride (TG), high-density lipoprotein (HDL-C), low-density lipid Protein (LDL-C) levels were detected. The level of betatrophin in serum was determined by enzyme-linked immunosorbent assay. The correlation between betatrophin and other indicators was analyzed by Spearman correlation. The influencing factors of PDR were analyzed by logistic regression. Results Compared with subjects in the NC group, the level of FPG (F=-4.316, P＜0.001), FIN (F=2.142, P=0.001), HbA1c (F=-5.726, P＜0.001), TC (t=3.609, P=0.010), LDL-C (t=0.000, P=0.003), and betatrophin (F=-2.263, P=0.024) were significantly increased and HDL-C level (F=-3.924, P＜0.001) was decreases in the DM group. The difference of TG level between two groups was not statistically significant (F= -1.422, P=0.155). Compared with the Non-DR group and the NPDR group, the serum C-peptide (F=7.818, P=0.020) and betatrophin levels (F=12.141, P=0.002) were significantly increased in the PDR group. Spearman correlation analysis showed that the levels of betatrophin in the DM group was positively correlated to TC (r=0.304, P=0.019). The serum levels of betatrophin was positively correlated to body mass index in the Non-DR group (r=0.513, P=0.004). Furthermore, in the PDR group, a significant positive correlation was observed between the serum betatrophin levels and diastolic blood pressure (r=0.685, P=0.042). Logistic regression analysis showed that the duration of diabetes, serum C-peptide and betatrophin levels were risk factors for PDR. After controlling for the duration and serum C-peptide, the PDR risk for betatrophin levels great than or equal to 1.0 ng/ml was 12 times as much as betatrophin levels less than 1.0 ng/ml in T2DM patients. Conclusions The serum betatrophin content of patients with T2DM is abnormal. Betatrophin may be involved in the occurrence and development of PDR.
ObjectiveTo observe and analyze the effect of HbA1c level on macular microcirculation in patients with type 2 diabetes mellitus (T2DM).MethodsA cross-sectional study. One hundred and twenty-four T2DM patients (124 eyes) without diabetic retinopathy who diagnosed by the examination of fundus color photography in Lixiang Eye Hospital Of Soochow University during September to December 2017 were enrolled in this study. There were 59 males (59 eyes) and 65 females (65 eyes), with the mean age of 65.06±7.99 years old. All patients underwent BCVA, fundus color photography, and OCT angiography (OCTA). The history of diabetes, hypertension and dyslipidemia were recorded in detail. According to the HbA1c level, patients were divided into three groups, HbA1c ideal control group (group A, HbA1c ＜7%, 67 eyes), HbA1c control group (group B, 7%≤HbA1c≤9%, 44 eyes), and HbA1c poor control group (group C, HbA1c＞9%, 13 eyes), respectively. The 3 mm×3 mm range of the macular area was scanned by OCTA instrument. The vascular density (VD) and skeleton density (SD) of nonsegmented retinal layer (NRL), superficial retinal layer (SRL) and deep retinal layer (DRL) in the macular area and foveal avascular zone (FAZ) area, non-circularity index, axial rate (AR) of SRL were measured. The correlation between HbA1c, BCVA and VD, SD of NRL, SRL, DRL was analyzed statistically with Spearman correlation test. The correlation between systemic factors and the above indicators was analyzed statistically with linear regression analysis.ResultsThe results of linear regression analysis showed that HbA1c was significantly correlated with VD (t=−3.237, −3.156, −2.050) and SD (t=−0.3.45, −3.034, −2.248) of NRL, SRL and DRL (P＜0.05); but no correlation with FAZ, non-circularity index and AR (t=1.739, 0.429, 1.155; P＞0.05). The differences of VD (F=6.349, 5.981, 3.709), SD (F=7.275, 6.085, 1.904) and AR (F=0.027) of NRL, SRL and DRL in group A, B and C were statistically significant (P＜0.05); but the differences of FAZ (F=1.904), non-circularity index (F=0.280) was not statistically significant (P＞0.05). Significant differences (P＜0.05) of VD and SD of NRL were found between group A and B (t=1.987, 2.201), group A and C (t=3.365, 3.572), group B and C (t=2.010, 2.076). Significant differences (P＜0.05) of VD and SD of SRL were found between group A and B (t=2.087, 2.168), group A and C (t=3.197, 3.194). There were significant differences (P＜0.05) in SD of DRL between group A and B (t=2.239), group A and C (t=−2.519). There was significant difference in VD of DRL between group A and C (t=2.363). The results of Spearman correlation analysis showed that HbA1c was negatively correlated with VD (r=−0.273, −0.255, −0.222; P=0.002, 0.004, 0.013) and SD (r=−0.275, −0.236, −0.254; P＜0.05) of NRL, SRL, DRL; positively correlated with FAZ and BCVA (r=0.221, 0.183; P＜0.05). BCVA was negatively correlated with VD (r=−0.210, −0.190, −0.245) and SD (r=−0.239, −0.207, −0.296) of NRL, SRL, and DRL (P＜0.05), but not correlated with FAZ (r=0.099, P＞0.05).ConclusionThe decrease of macular perfusion and the morphological change of FAZ accompanied by HbA1c increased.