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.
ObjectiveTo observe and analyze the correlation between macular microvascular parameters and urinary albumin to creatinine ratio (UACR) in patients with type 2 diabetes mellitus (T2DM). MethodsA cross-sectional study. From October 2017 to April 2018, 100 eyes of 100 patients (T2DM) and 27 eyes of 27 healthy controls (the control group) were enrolled in Xuzhou First People’s Hospital. All subjects underwent anterior segment examination via slit-lamp biomicroscopy, dilated fundus examination, 7-field fundus photographs, OCT angiography (OCTA), the fasting glucose test, glycosylated hemoglobin (HbA1c), urinary albumin, urinary creatinine and UACR levels determination. Height and weight measurement were taken for calculating body mass index (BMI). Diabetic retinopathy was ruled out by fundoscopic examinations and 7-field fundus photographs in T2DM patients. According to the UACR, patients in the T2DM group were subdivided into A1 group (UACR< 30 mg/g), A2 group (UACR 30-300 mg/g), and A3 group (UACR>300 mg/g), with 38 cases and 38 eyes respectively , 40 cases with 40 eyes, 22 cases with 22 eyes. A 6 mm×6 mm scanning area centered on the macular fovea were scanned for right eye using a frequency domain OCTA instrument, which were divided into three concentric circles centered on the macular fovea by the software automatically. The foveal zone was defined as a circular area measuring 1 mm in diameter, the parafoveal zone was described as a middle circle area measuring 1-3 mm in diameter, and the perifoveal zone was an outer circle area measuring 3-6 mm in diameter. The vessel density of superficial capillary plexus (SCP) and deep capillary plexus (DCP), foveal avascular area (FAZ) and perimeter (PERIM), non-circularity index (AI) were measured. The correlation between the macular vessel density, FAZ and UACR was analyzed by Spearman correlation analysis. ResultsA1 group, A2 group, A3 group, and normal control group. The macular area SCP and DCP (F=13.722, 5.644), foveal area (F=4.607, 4.719), parafoveal area (H=23.142, F=2.904), the blood flow density of the area around the fovea (F=12.292, H=10.946), the difference was statistically significant (P＜0.05); with the increase of UACR, the blood flow density of each area of SCP and DCP showed a downward trend. The results of correlation analysis showed that the blood flow density of the whole SCP, parafoveal area, and surrounding area of T2DM patients was negatively correlated with UACR (r=－0.376, －0.240, －0.364, －0.347, P＜0.05). There were no correlation among fasting plasma glucose, HbAlc and UACR (r=0.179, 0.085, P＞0.05). There were no correlation among blood flow density in BMI, SCP foveal area, DCP and UACR (|r|＜0.3, P＞0.05). ConclusionThe whole, parafovea and perifovea vessel density values of SCP in T2DM eyes without DR are negatively correlated with UACR.
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.
ObjectiveTo observe and analyze the correlation between time within target glucose range (TIR) and hemoglobin A1c (HbA1c) and the risk of diabetic retinopathy (DR). MethodsA retrospective clinical study. From March 2020 to August 2021, 91 patients with type 2 diabetes mellitus (T2DM) who were hospitalized in Department of Endocrinology and Metabolic Diseases, Affiliated Hospital of Weifang Medical University, were included in the study. All patients underwent Oburg's no-dilatation ultra-wide-angle laser scan ophthalmoscopy, HbA1c and continuous glucose monitoring (CGM) examinations. According to the examination results and combined with the clinical diagnostic criteria of DR, the patients were divided into non-DR (NDR) group and DR group, with 50 and 41 cases respectively. The retrospective CGM system was used to monitor the subcutaneous interstitial fluid glucose for 7 to 14 consecutive days, and the TIR was calculated. Binary logistic regression was used to analyze the correlation between TIR, HbAlc and DR in patients with T2DM0. At the same time, a new indicator was generated, the predicted probability value (PRE_1), which was generated to represent the combined indicator of TIR and HbA1c in predicting the occurrence of DR. The receiver operating characteristic curve (ROC curve) was used to analyze the value of TIR, HbAlc and PRE_1 in predicting the occurrence of DR. ResultsThe TIR of patients in the NDR group and DR group were (81.58±15.51)% and (67.27±22.09)%, respectively, and HbA1c were (8.03±2.16)% and (9.01±2.01)%, respectively. The differences in TIR and HbA1c between the two groups of patients were statistically significant (t=3.501,－2.208; P=0.001, 0.030). The results of binary logistic regression analysis showed that TIR, HbA1c and DR were significantly correlated (odds ratio=0.960, 1.254; P=0.002, 0.036). ROC curve analysis results showed that the area under the ROC curve (AUC) of TIR, HbA1c and PRE_1 predicting the risk of DR were 0.704, 0.668, and 0.707, respectively [95% confidence interval (CI) 0.597-0.812, P=0.001; 95%CI 0.558-0.778, P=0.006; 95%CI 0.602-0.798, P=0.001]. There was no statistically significant difference between TIR, HbA1c and PRE_1 predicting the AUC of DR risk (P>0.05). The linear equation between HbAlc and TIR was HbAlc (%) = 11.37－0.04×TIR (%). ConclusionsTIR and HbA1c are both related to DR and can predict the risk of DR. The combined use of the two does not improve the predictive value of DR. There is a linear correlation between TIR and HbAlc.
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.
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 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.
ObjectiveTo observe the changes in the structure and function of the retina in diabetic patients, and preliminarily explore the changes in the characteristics of neuropathy and microvascular damage in different degrees of diabetic retinopathy (DR). MethodsA prospective controlled study. From May to December 2020, 63 eyes of 63 patients with type 2 diabetes who were recruited from the Department of Ophthalmology of Shandong Provincial Hospital and 40 healthy volunteers with age and sex matching in the same period (control group) were included in the study. All subjects underwent optical coherence tomography angiography (OCTA) and portable non-mydriatic visual electrophysiological diagnosis system RETeval. OCTA was used to measure the thickness of the retinal nerve fiber layer (pRNFL) around the optic disc, the blood flow density of theradial peripapillary capillary (RPC) around the optic disc, and the thickness of the macular ganglion cell complex (GCC). The "DR evaluation plan" mode of the RETeval device was used to perform flash electroretinogram examination, and the "DR evaluation score" measured by the system was recorded. According to the DR grading standard established in the early treatment of DR research, DR was classified. Diabetic patients were divided into non-DR (non-DR) group, mild to moderate non-proliferative DR (mNPDR) group, and severe non-proliferative DR (sNPDR) group , Proliferative DR (PDR) group, with 12, 16, 18, and 17 eyes respectively. The comparison of pRNFL thickness, GCC thickness, RPC blood flow density and "DR assessment score" between groups was performed by one-way analysis of variance; the correlation between pRNFL thickness and RPC blood flow density was analyzed by Pearson correlation analysis. ResultsCompared with the control group, the overall, upper and lower thickness of the macular GCC of the affected eyes in different degrees of DR groups were significantly thinner, and the difference was statistically significant (F=13.560, 15.840, 5.480; P<0.05). Compared with the control group, the overall pRNFL (F=6.120), upper part (F=6.310), lower part (F=5.330), upper nose (F=7.350), lower nose (F=2.690), the upper nasal side (F=4.780), the upper temporal side (F=3.710), and the lower temporal side (F=3.750) became thinner, the difference was statistically significant (P<0.05). Correlation analysis results showed that the whole optic disc, upper part, lower part, upper nose, upper nasal side, lower nasal side, and lower temporal RPC blood flow density were positively correlated with pRNFL thickness (r=0.260, 0.256, 0.275, 0.489, 0.444, 0.542, 0.261; P<0.01). The "DR evaluation scores" of the eyes in the control group, non-DR group, mNPDR group, sNPDR group, and PDR group were 12.71±5.62, 22.18±3.77, 24.68±2.41, 24.98±2.78, 29.17±7.98 points; the DR lesions were more severe, the evaluation score were higher, and the difference was statistically significant (F=1.535, P<0.01). ConclusionCompared with the control group, the macular GCC, pRNFL thickness and RPC blood flow density of diabetic patients are significantly reduced; the "DR evaluation score" is increased, and it is related to the severity of DR.
ObjectiveTo assess the association of hemoglobin (Hb) levels with the prevalence of diabetic retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM).MethodsA cross-sectional study. From January 2017 to December 2018, 707 patients with T2DM who were hospitalized in the Department of Internal Medicine of Chu Hsien-I Memorial Hospital & Tianjin Medical University, were included in the study. All patients underwent color photography of the fundus of both eyes with dilated pupils. According to DR diagnostic criteria, patients were divided into DR group and non-DR (NDR) group, with 210 and 497 cases, respectively; DR group was further divided into non-proliferative DR group (NPDR) group and proliferative DR (PDR) group, about 186, 24 cases, respectively. Hb level was detected, single factor analysis of its correlation with DR; logistic regression analysis was used to evaluate the relationship between Hb level and DR risk.ResultsThe Hb levels of the patients in the NDR group and the DR group were 140.58±17.26 and 132.35±23.48 g/dl; compared with the NDR group, the Hb level of the DR group was significantly lower, and the difference was statistically significant (t=5.107, P=0.000). In the NDR group, NPDR group, and PDR group, Hb levels of male patients were 149.3±1.01, 142.6±2.35, 132.9±8.44 g/dl, respectively; Hb levels of female patients were 131.7±0.90, 124.0±2.09, 116.8±5.23 g/dl. With the progress of DR, Hb levels of different sexes decreased significantly, and the difference was statistically significant (P＜0.000 1). The results of correlation analysis showed that Hb reduction was an independent risk factor for DR (odds ratio=4.437, 95% confidence interval 2.590-7.603, P＜0.000 1).ConclusionThe reduction of Hb in T2DM patients is positively correlated with the severity of DR.
