Risk Of Diabetic Retinopathy In Patients Research Articles

Qualitative analysis of nailfold capillaries in diabetes and diabetic retinopathy using dermatoscope in patients with coloured skin.

Introduction Diabetes mellitus (DM) is associated with significant morbidity and mortality due to vascular complications. Diabetic retinopathy (DR) is the most common microvascular complication of diabetes. Videocapillaroscope has been the predominant tool for nailfold capillary analysis. We aimed at using the commonly available handheld dermatoscope and observe changes in the nailfold capillaries as a part of evaluating diabetic microvascular involvement. Materials and methods A cross-sectional observational study involving 262 patients of diabetes mellitus and 150 controls was conducted for nailfold capillaroscopic changes using a hand-held dermatoscope over a period of 1 year. Results All the capillaroscopic variables like tortuosity, increased capillary density, neoangiogenesis, microhaemorrhages, avascular areas, crossing and meandering capillaries and receding capillaries were significantly more among diabetic than healthy controls. Patients with diabetic retinopathy had significant nailfold capillaroscopic features as compared to patients without DR (P value < 0.001). Neoangiogenesis, receding capillaries and avascular area were significantly higher in proliferative DR as against nonproliferative DR (P < 0.001). A positive association was found between the duration of DM and HbA1c values and NFC features. A decrease in the visualisation of NFC features was noted with increasing skin tone. The difference was significantly more between Fitzpatrick skin phototypes 4 and 5. Limitations The study was limited by its qualitative nature of accessing parameters as precise quantitative assessment of various findings cannot be done by a hand-held dermatoscope. Conclusion Nailfold capillaroscopy is a quick, cost-effective screening tool for identifying patients at high risk of DR in patients with skin of colour. NFC findings may mirror DR changes. The qualitative findings of NFC using a hand-held dermatoscope were comparable to other modes of nailfold capillaroscopy.

Comprehensive review of glucagon-like peptide 1 receptor agonist treatment on the risk of cardiovascular outcomes and retinopathy as diabetic complications.

Cardiovascular and microvascular disorders are serious complications of diabetes. Intensive glucose control is believed to hinder the pathological progression of these complications. In this review, we focus on the risk of diabetic retinopathy (DR) under intensive treatment with recently introduced glucose-lowering drugs, including glucagon-like peptide 1 receptor agonists (GLP-1RAs), sodium-glucose co-transporter-2 (SGLT2) inhibitors, and dipeptidyl peptidase-4 (DPP-4) inhibitors. GLP-1RAs are more suitable for patients with diabetes at risk for, or established, cardiovascular complications, while SGLT2 inhibitors are more appropriate for complications of heart failure and chronic renal diseases. Accumulating evidence indicates that GLP-1RAs may provide a greater reduction in the risk of DR in patients with diabetes compared to DPP-4 inhibitors, sulfonylureas, or insulin. GLP-1RAs may be ideal antihyperglycemic drugs with direct benefits for the retina, since GLP-1R can be expressed in photoreceptors. Topical administration of GLP-1RAs induces direct retinal neuroprotection against DR by multiple mechanisms, such as preventing both neurodysfunction and retinal neurodegeneration; relieving the disruption of the blood-retinal barrier and associated vascular leakage, and inhibiting oxidative stress, inflammatory action, and neuronal apoptosis. Hence, it seems reasonable to utilize this strategy to treat patients with diabetes and early-stage DR, rather than exclusively using neuroprotective agents.

Diabetic retinopathy risk prediction in patients with type 2 diabetes mellitus using a nomogram model.

This study aims to develop a diabetic retinopathy (DR) hazard nomogram for a Chinese population of patients with type 2 diabetes mellitus (T2DM). We constructed a nomogram model by including data from 213 patients with T2DM between January 2019 and May 2021 in the Affiliated Hospital of Zunyi Medical University. We used basic statistics and biochemical indicator tests to assess the risk of DR in patients with T2DM. The patient data were used to evaluate the DR risk using R software and a least absolute shrinkage and selection operator (LASSO) predictive model. Using multivariable Cox regression, we examined the risk factors of DR to reduce the LASSO penalty. The validation model, decision curve analysis, and C-index were tested on the calibration plot. The bootstrapping methodology was used to internally validate the accuracy of the nomogram. The LASSO algorithm identified the following eight predictive variables from the 16 independent variables: disease duration, body mass index (BMI), fasting blood glucose (FPG), glycated hemoglobin (HbA1c), homeostatic model assessment-insulin resistance (HOMA-IR), triglyceride (TG), total cholesterol (TC), and vitamin D (VitD)-T3. The C-index was 0.848 (95% CI: 0.798-0.898), indicating the accuracy of the model. In the interval validation, high scores (0.816) are possible from an analysis of a DR nomogram's decision curve to predict DR. We developed a non-parametric technique to predict the risk of DR based on disease duration, BMI, FPG, HbA1c, HOMA-IR, TG, TC, and VitD.

Risk factor analysis and clinical decision tree model construction for diabetic retinopathy in Western China.

Diabetic retinopathy (DR) is the driving force of blindness in patients with type 2 diabetes mellitus (T2DM). DR has a high prevalence and lacks effective therapeutic strategies, underscoring the need for early prevention and treatment. Yunnan province, located in the southwest plateau of China, has a high pre-valence of DR and an underdeveloped economy. To build a clinical prediction model that will enable early prevention and treatment of DR. In this cross-sectional study, 1654 Han population with T2DM were divided into groups without (n = 826) and with DR (n = 828) based on fundus photography. The DR group was further subdivided into non-proliferative DR (n = 403) and proliferative DR (n = 425) groups. A univariate analysis and logistic regression analysis were conducted and a clinical decision tree model was constructed. Diabetes duration ≥ 10 years, female sex, standing- or supine systolic blood pressure (SBP) ≥ 140 mmHg, and cholesterol ≥ 6.22 mmol/L were risk factors for DR in logistic regression analysis (odds ratio = 2.118, 1.520, 1.417, 1.881, and 1.591, respectively). A greater severity of chronic kidney disease (CKD) or hemoglobin A 1c increased the risk of DR in patients with T2DM. In the decision tree model, diabetes duration was the primary risk factor affecting the occurrence of DR in patients with T2DM, followed by CKD stage, supine SBP, standing SBP, and body mass index (BMI). DR classification outcomes were obtained by evaluating standing SBP or BMI according to the CKD stage for diabetes duration < 10 years and by evaluating CKD stage according to the supine SBP for diabetes duration ≥ 10 years. Based on the simple and intuitive decision tree model constructed in this study, DR classification outcomes were easily obtained by evaluating diabetes duration, CKD stage, supine or standing SBP, and BMI.

Vitamin D Deficiency Is Significantly Associated with Retinopathy in Type 2 Diabetes Mellitus: A Case-Control Study

Aim: Results from meta-analyses point to an association between vitamin D deficiency and the onset of diabetic retinopathy (DR). The objectives of the present study were to evaluate the association of vitamin D for the development of DR and to determine the levels of vitamin D associated with a greater risk of DR. Methods: Between November 2013 and February 2015, we performed a case-control study based on a sample of patients with diabetes in Spain. The study population comprised all patients who had at least one evaluable electroretinogram and recorded levels of 25(OH)D. We collected a series of analytical data: 25(OH)D, 1,25(OH)2D, iPTH, calcium, albumin, and HbA1c. Glycemic control was evaluated on the basis of the mean HbA1c values for the period 2009–2014. A logistic regression analysis was performed to identify the variables associated with DR. Results: The final study sample comprised 385 patients, of which 30 (7.8%) had DR. Significant differences were found between patients with and without DR for age (69.54 vs. 73.43), HbA1c (6.68% vs. 7.29%), years since diagnosis of diabetes (10.9 vs. 14.17), level of 25(OH)D (20.80 vs. 15.50 ng/mL), level of 1,25(OH)2D (35.0 vs. 24.5 pg/mL), treatment with insulin (14.9% vs. 56.7%), hypertension (77.7% vs. 100%), cardiovascular events (33.2% vs. 53.3%), and kidney failure (22.0% vs. 43.3%). In the multivariate analysis, the factors identified as independent risk factors for DR were treatment of diabetes (p = 0.001) and 25(OH)D (p = 0.025). The high risk of DR in patients receiving insulin (OR 17.01) was also noteworthy. Conclusions: Levels of 25(OH)D and treatment of diabetes were significantly associated with DR after adjusting for other risk factors. Combined levels of 25(OH)D < 16 ng/mL and levels of 1,25(OH)2D < 29 pg/mL are the variables that best predict the risk of having DR with respect to vitamin D deficiency. The risk factor with the strongest association was the treatment of type 2 diabetes mellitus. This was particularly true for patients receiving insulin, who had a greater risk of DR than those receiving insulin analogues. However, further studies are necessary before a causal relationship can be established.

Association between visit-to-visit variability of glycated albumin and diabetic retinopathy among patients with type 2 diabetes - A prospective cohort study.

There is a paucity of studies regarding the association between long-term glycemic variability with the risk of diabetic retinopathy (DR) in patients with type 2 diabetes. Therefore, the purpose of this study is to explore the association of glycated albumin (GA) variability and HbA1c variability with the risk of DR in patients with type 2 diabetes. This prospective cohort study included 315 inpatients with type 2 diabetes (191 males and 124 females) with at least 3 measurements of GA and HbA1c within 2years prior to the baseline investigation. Different GA and HbA1c variability markers were calculated, including CV, variability independent of the mean (VIM), and the average real variability (ARV). Cox proportional hazard regression models were used to explore the association between visit-to-visit variability of GA and HbA1c and the risk of DR. After an average follow-up of 3.42years, 81 patients developed incident DR. Multivariable-adjusted (diabetes duration, smoking status, systolic blood pressure, albumin to creatinine ratio, triglycerides, using fibrates, and mean HbA1c) hazard ratios of DR associated with each unit increase in GA-CV, GA-VIM, and GA-ARV were 1.05 (95% CI 1.02-1.09), 1.69 (95% CI 1.24-2.32), and 1.13 (95%CI 1.04-1.23), respectively. However, there was no significant association between visit-to-visit HbA1c variability and the risk of DR. The present study indicated that visit-to-visit variability of GA can predict the risk of incident DR in patients with type 2 diabetes, and the prediction ability is independent of the average HbA1c levels.

91-OR: Visit-to-Visit Variability of Glycated Albumin Was Associated with the Risk of Diabetic Retinopathy in Patients with Type 2 Diabetes

Background: The association between long-term glycemic variability and diabetic retinopathy (DR) among patients with type 2 diabetes has not been clarified yet. Objective: The aim of this study was to investigate the association of visit-to-visit variability of hemoglobin A1c (HbA1c) and glycated albumin (GA) with the risk of DR in patients with type 2 diabetes. Design: A prospective cohort study of 315 patients (191 males and 124 females) with at least 3 measurements of HbA1c and GA prior to baseline was performed. Different GA and HbA1c variability markers were calculated, including coefficient of variation (CV), variability independent of the mean (VIM), and the average real variability (ARV). Cox proportional hazard regression models were used to explore the association between visit-to-visit HbA1c and GA variability and the risk of DR. Results: During a mean follow-up period of 3.42 years, 81 participants developed incident DR. Multivariate-adjusted hazard ratios (HRs) of DR across tertiles of GA-CV values were 1.00, 1.42, and 2.12 (P for trend=0.027), respectively. When we used GA-VIM and GA-ARV values as exposures, similar positive associations with the risk of DR were found. Multivariable-adjusted HRs of DR associated with each unit increase in GA-CV, GA-VIM, and GA-ARV were 1.05 (95% CI 1.02-1.09), 1.69 (95% CI 1.24-2.32), and 1.13 (95%CI 1.04-1.23), respectively. However, there was no significant association between visit-to-visit variability of HbA1c and the risk of DR after multivariate adjustment. Conclusion: The visit-to-visit variability of GA can predict the risk of incident DR in patients with type 2 diabetes, and the prediction ability is independent of the average HbA1c levels. Disclosure J. Zhou: None. D. Dai: None. Y. Shen: None. J. Lu: None. Y. Wang: None. W. Zhu: None. Y. Bao: None. G. Hu: None. Funding National Key Research and Development Project of China (2018YFC2000802); Shanghai Municipal Education Commission (20161430); Shanghai Municipal Key Clinical Specialty

Anemia and Diabetic Kidney Disease Had Joint Effect on Diabetic Retinopathy Among Patients With Type 2 Diabetes.

PurposeWhether the association between diabetic kidney disease (DKD) and diabetic retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM) is leveraged by anemia remains unclear. This study is to evaluate the joint effect of DKD and anemia on DR.MethodsData were collected from electronic medical records of 1389 patients with T2DM in the Yiwu Central Hospital of Zhejiang Province from 2018 to 2019. Based on retinal examination findings, patients were classified as without diabetic retinopathy (non-DR), non-proliferative diabetic retinopathy (NPDR), and proliferative diabetic retinopathy (PDR). Odds ratio (OR) from multinomial logistic regression models adjusting for potential risk factors of DR were used to evaluate associations of DKD, renal function measures, and anemia with risk of NPDR and PDR. Path analysis was performed to help understand the association of DKD and hemoglobin (Hb) with DR.ResultsThe study included 901 patients with non-DR, 367 patients with NPDR and 121 patients with PDR. Both high DKD risk and abnormal renal function measures were significantly associated with PDR. Anemia was associated with increased risk of NPDR (OR = 1.75, 95% confidence interval [CI] = 1.18–2.58) and PDR (OR = 3.71, 95% CI = 2.23–6.18). DKD severity and anemia had joint effect on NPDR (OR = 2.29, 95% CI = 1.32–3.96) and PDR (OR = 11.31, 95% CI = 5.95–21.51). These associations were supported by path analysis.ConclusionsDKD severity, abnormal estimated glomerular filtration rate (eGFR), and urinary albumin/creatinine ratio (UACR) were associated with increased risk of DR in patients with T2DM, and anemia had joint effect on these associations. Improving Hb level may decrease the risk of DR in patients with T2DM.

Meta-analysis of the association between aldose reductase gene (CA)n microsatellite variants and risk of diabetic retinopathy.

Diabetic retinopathy (DR) is one of the most severe microvascular complications of diabetes mellitus (DM). The (CA)n microsatellite variation of the aldose reductase (ALR) gene has been indicated to be associated with DR in previous studies; however, the results were inconclusive. To provide a more precise evaluation of the association between the (CA)n variations of ALR and the risk for DR, a meta-analysis was performed in the present study. Relevant articles were retrieved from the PubMed, Embase, Chinese National Knowledge Infrastructure and Cochrane Library databases. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were used to evaluate the strength of the associations. The present meta-analysis included 17 studies comprising 1,575 DM patients with retinopathy and 1,741 DM patients without retinopathy. The results indicated that the Z-2 allele was a risk factor for DR in Asian (OR=1.82, 95% CI: 1.16-2.86, P=0.009) and Caucasian (OR=2.08, 95% CI: 1.14-3.79, P=0.02) populations, as well as in type 1 diabetes (T1D; OR=3.42, 95% CI: 1.46-8.04, P=0.005) and type 2 diabetes (T2D; OR=1.66, 95% CI: 1.05-2.63, P=0.03). Furthermore, the Z+2 allele was determined to be a protective factor for DR in Caucasian individuals (OR=0.50, 95% CI: 0.34-0.73, P=0.0004) and those with T1D (OR=0.39, 95% CI: 0.27-0.57, P<0.00001). Z+4 was also identified to be a protective factor, reducing the risk of DR in patients with T1D (OR=0.74, 95% CI: 0.57-0.96, P=0.02). Z-4 was revealed to be a risk factor for DR in Asian populations (OR=1.57, 95% CI: 1.22-2.03, P=0.0005) and in individuals with T1D (OR=1.62, 95% CI: 1.27-2.08, P=0.0001). However, no association was detected between the Z, Z+6 and Z-6 alleles and the risk of DR (P>0.05). In conclusion, the present results revealed the following: Z+2 may serve as a protective factor for DR in Caucasian individuals and those with T1D; Z+4 may be a protective factor for DR in patients with T2D; Z-2 may represent a risk factor for DR in all subgroups analyzed; and Z-4 may be a risk factor for DR in Asian populations and patients with T2D.

Meta-analysis of the relationship between depression and diabetic retinopathy

Objective: To study the correlation between depression and the risk of Diabetic Retinopathy (DR). Methods: A total of 268 articles were obtained from PubMed, Web of Science, Science Direct and Ovid between January 2000 and September 2017, combined with retrospective retrieval of literature. Stata12.0 was utilized for statistical data and the OR (95% CI) values were obtained by means of metaanalysis. Results: A total of 4912 cases and 11641 controls were incorporated in the study from 19 literatures. The results of the meta-analysis demonstrated that the combined OR (95% CI) value was 1.43 (1.21-1.69), while the risk of DR in patients with diabetes mellitus was augmented by 0.43 times than that in the normal diabetic patients. After grouping of diabetic patients, the combined OR (95% CI) value was 2.18 (0.91-5.24), 1.5 (1.18-1.92) and 1.15 (0.87-1.52), respectively. On the other hand, after grouping of different subjects, the OR (95% CI) value was 1.28 (1.03-1.59) and 1.62 (1.28-2.06), respectively. Conclusion: Depression is among the substantial risk factors for the pathogenesis of DR. The targeted intervention will help in reducing the risk of DR.

CCR5-Δ32 gene polymorphism is associated with retinopathy in patients with type 1 diabetes

AimThe aim of the study was to assess the relationship between the CCR5-Δ32 polymorphism and the risk of diabetic retinopathy (DR) in patients with DM1. MethodsWe examined 420 patients and 350 healthy controls. The analysis concerned CCR5-Δ32 polymorphism as well as levels of serum inflammatory markers (CRP, TNF-α), adhesion molecules (VCAM, ICAM-1, ICAM-3) and CCR5 ligand (MCP-1). ResultsWe found a negative association between DM1 and Δ32 allele. Moreover, the frequency of Δ32 allele was higher in a group with DR in comparison to control subjects without this complication. We also found that Δ32 carriers had the highest levels of: HbA1c, inflammatory markers, adhesion molecules and CCR5 ligand. ConclusionsThe findings of our studies suggest that the CCR5-Δ32 polymorphism is associated with DM1 such that the Δ32 allele protects against the development of DM1 and increases the risk of DR in patients who have already developed the disease.

Moderate consumption of white and fortified wine is associated with reduced odds of diabetic retinopathy

AimTo explore the association between alcohol consumption and the severity of diabetic retinopathy (DR). MethodsIn this cross-sectional study, patients with type 2 diabetes answered questions on consumption of low and full-strength beer, white wine/champagne, red wine, fortified wines, and spirits. Never, moderate and high consumption of each alcoholic beverage, and overall alcoholic beverage consumption, were defined as <1, 1–14 and >14 standard drinks/week, respectively. DR was categorized into none; non vision-threatening DR (VTDR) and VTDR. Multivariable logistic regression determined the associations between alcohol consumption and DR. ResultsOf the 395 participants (mean age±SD [standard deviation] 65.9±10.4years; males=253), 188 (47.6%) consumed alcohol and 235 (59.5%) had any DR. Compared to no alcohol consumption, moderate alcohol consumption (overall) was significantly associated with reduced odds of any DR (OR=0.47, 95% CI [confidence interval] 0.26–0.85). Moderate consumption of white wine/champagne or fortified wine was also associated with reduced odds of any DR (OR=0.48, 95% CI 0.25–0.91, and OR=0.15, 95% CI 0.04–0.62, respectively). Similar results were observed for non-VTDR and VTDR. ConclusionsThe amount and type of alcohol are associated with risk of DR in patients with type 2 diabetes. A longitudinal study is needed to assess the protective effect of alcohol consumption and DR.