scholarly journals Epidemiology and Risk Factors in Diabetic Retinopathy and Diabetic Macular Edema

2018 ◽  
pp. 89-93
Keyword(s):  
Risk Factors ◽  
Diabetic Retinopathy ◽  
Genetic Factors ◽  
Vision Loss ◽  
Diabetic Patients ◽  
Modifiable Risk Factors ◽  
Oral Antidiabetics ◽  
Lipid Metabolism Disorders ◽  
Prevalence Of Diabetes Mellitus ◽  
Timely Treatment

With the increased prevalence of diabetes mellitus, prolonged life-span, and the use of insulin and oral antidiabetics, diabetic retinopathy has become one of the leading causes of loss of vision in many countries. By 2013, the number of diabetic patients in the world is 382 million, but it is predicted that this number will reach 592 million in 2035 by an increase of 55%. The risk factors which are related to diabetic retinopathy are diabetes duration, hyperglycemia, hypertension, lipid metabolism disorders, genetic factors, puberty, and pregnancy. In diabetic cases, the risk of vision loss can be significantly reduced with the control of modifiable risk factors, regular eye examinations, and timely treatment.

scholarly journals Modern aproaches to diabetic macular edema diagnosticks

2020 ◽  
Vol 23 (3) ◽  
pp. 260-266
Author(s):  
A. V. Doga ◽  
P. L. Volodin ◽  
E. V. Ivanova ◽  
D. A. Buryakov ◽  
O. I. Nikitin ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Diabetic Retinopathy ◽  
Early Diagnosis ◽  
Macular Edema ◽  
Diabetic Macular Edema ◽  
Vision Loss ◽  
Diagnostic Methods ◽  
Diabetic Patients ◽  
Timely Treatment

Diabetic macular edema (DME) continues to be an important problem of modern ophthalmology and endocrinology. Therisk of edema is higher in patients with type 2 diabetes. Thus, this is the main cause of irreversible vision loss in these patients. DME is one of the prognostically unfavorable and difficult to treat manifestations of diabetic retinopathy. As themain cause of vision loss in diabetic patients, diabetic macular edema is often not diagnosed immediately, which causes difficulties in the treatment of pathology. Thus, early diagnosis and timely treatment of this disease is the key to successfully counteract the uncontrolled decline in the patients visual functions. In this article, the team of authors highlighted the possibilities of informative instrumental research methods available in the Arsenal of modern ophthalmological services. Based on the analysis of modern literature, the main principles of these diagnostic methods were indicated, their key capabilities and limitations compared to each other were highlighted. Knowledge of these characteristics is, in our opinion, an integral and most important tool in the Arsenal of a practicing ophthalmologist who supervises patients with this pathology.

scholarly journals Plasma microRNA signature associated with retinopathy in patients with type 2 diabetes

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Donato Santovito ◽  
Lisa Toto ◽  
Velia De Nardis ◽  
Pamela Marcantonio ◽  
Rossella D’Aloisio ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Diabetic Retinopathy ◽  
Vision Loss ◽  
External Validation ◽  
Diabetic Patients ◽  
Disease Biomarkers ◽  
Response To Stress ◽  
Severity Of The Disease ◽  
Plasma Microrna

AbstractDiabetic retinopathy (DR) is a leading cause of vision loss and disability. Effective management of DR depends on prompt treatment and would benefit from biomarkers for screening and pre-symptomatic detection of retinopathy in diabetic patients. MicroRNAs (miRNAs) are post-transcriptional regulators of gene expression which are released in the bloodstream and may serve as biomarkers. Little is known on circulating miRNAs in patients with type 2 diabetes (T2DM) and DR. Here we show that DR is associated with higher circulating miR-25-3p (P = 0.004) and miR-320b (P = 0.011) and lower levels of miR-495-3p (P < 0.001) in a cohort of patients with T2DM with DR (n = 20), compared with diabetic subjects without DR (n = 10) and healthy individuals (n = 10). These associations persisted significant after adjustment for age, gender, and HbA1c. The circulating levels of these miRNAs correlated with severity of the disease and their concomitant evaluation showed high accuracy for identifying DR (AUROC = 0.93; P < 0.001). Gene ontology analysis of validated targets revealed enrichment in pathways such as regulation of metabolic process (P = 1.5 × 10–20), of cell response to stress (P = 1.9 × 10–14), and development of blood vessels (P = 2.7 × 10–14). Pending external validation, we anticipate that these miRNAs may serve as putative disease biomarkers and highlight novel molecular targets for improving care of patients with diabetic retinopathy.

scholarly journals Exposure to Porphyromonas gingivalis and Modifiable Risk Factors Modulate Risk for Early Diabetic Retinopathy

2021 ◽  
Vol 10 (2) ◽  
pp. 23
Author(s):  
Chung-Jung Chiu ◽  
Min-Lee Chang ◽  
Alpdogan Kantarci ◽  
Thomas E. Van Dyke ◽  
Wenyuan Shi
Keyword(s):  
Risk Factors ◽  
Diabetic Retinopathy ◽  
Porphyromonas Gingivalis ◽  
Modifiable Risk Factors

scholarly journals Utilization of diabetic retinopathy screening among diabetic patients at a tertiary care hospital in Kerala, India

2021 ◽  
Vol 8 (10) ◽  
pp. 4938
Author(s):  
Sona Sabitha Kumar ◽  
Lathika Vasu Kamaladevi ◽  
Sruthi Mankara Valsan
Keyword(s):  
Diabetic Retinopathy ◽  
Vision Loss ◽  
Adult Population ◽  
Tertiary Care ◽  
Health Concern ◽  
Diabetic Patients ◽  
Care Hospital ◽  
Screening Programs ◽  
Diabetic Retinopathy Screening ◽  
Retinopathy Screening

Background: Diabetes is a major public health concern that affects nearly 463 million (9.3%) of global adult population. Diabetic retinopathy, which affects around 35% of all diabetic patients, is the fifth leading cause of preventable global blindness. This study was done to determine the status of diabetic retinopathy screening and the factors that influence its uptake among diabetic patients attending a tertiary care setting in Kerala, India.Methods: 200 patients with diabetes mellitus on physician care were enrolled for a questionnaire-based survey which collected information on patient demographics, education, occupation, patient’s awareness of retinopathy, screening, diabetic blindness and their source of such knowledge.Results: 83% were aware that diabetes can result in vision loss. 61% were aware that diabetic blindness is preventable. 42% patients were aware of screening options for retinopathy. The awareness of retinopathy screening was significantly associated (p=0.0001) only with duration of diabetes.Conclusions: Awareness of diabetic retinopathy among diabetic patients in Kerala was sub optimal. Better patient education and use of mass media can increase awareness on diabetes retinopathy screening programs. 

scholarly journals Vascular endothelial growth factor (VEGF)-related polymorphisms rs10738760 and rs6921438 are not risk factors for proliferative diabetic retinopathy (PDR) in patients with type 2 diabetes mellitus (T2DM)

2019 ◽  
Vol 19 (1) ◽  
pp. 94-100 ◽  
Author(s):  
Jana Sajovic ◽  
Ines Cilenšek ◽  
Sara Mankoč ◽  
Špela Tajnšek ◽  
Tanja Kunej ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Vascular Endothelial Growth Factor ◽  
Type 2 Diabetes Mellitus ◽  
Diabetic Retinopathy ◽  
Diabetic Patients ◽  
Vascular Endothelial ◽  
Endothelial Growth Factor

Vascular endothelial growth factor (VEGF) is an important regulator of angiogenesis and has been investigated as a candidate gene in a number of conditions, including diabetes and its microvascular complications (e.g., retinopathy and nephropathy). Several VEGF-related polymorphisms have been shown to contribute to nearly half of the variability in circulating VEGF levels in healthy individuals. Our aim was to assess the association between VEGF-related rs10738760 and rs6921438 polymorphisms and proliferative diabetic retinopathy (PDR) in Slovenian patients with type 2 diabetes mellitus (T2DM). We also investigated the effect of these polymorphisms on VEGF receptor 2 (VEGFR-2) expression in fibrovascular membranes (FVMs) from patients with PDR. This case-control study enrolled 505 unrelated patients with T2DM: 143 diabetic patients with PDR as a study group, and 362 patients with T2DM of >10 years duration and with no clinical signs of PDR as a control group. Patient clinical and laboratory data were obtained from their medical records. rs10738760 and rs6921438 polymorphisms were genotyped using TaqMan SNP Genotyping assay. VEGFR-2 expression was assessed by immunohistochemistry in 20 FVMs from patients with PDR, and numerical areal density of VEGFR-2-positive cells was calculated. The occurrence of PDR was 1.7 times higher in diabetic patients carrying GA genotype of rs6921438 compared to patients with GG genotype, with a borderline statistical significance (OR = 1.7, 95% CI = 1.00 – 2.86, p = 0.05). In addition, A allele of rs6921438 was associated with increased VEGFR-2 expression in FVMs from PDR patients. However, we observed no association between AA genotype of rs6921438 nor between rs10738760 variants and PDR, indicating that the two polymorphisms are not genetic risk factors for PDR.

scholarly journals Evaluation of HbA1c Level and Other Risk Factors in Diabetic Retinopathy: A Study of Type 2 Diabetic Patients Attending in a Tertiary Level Hospital

KYAMC Journal ◽  
2017 ◽  
Vol 6 (2) ◽  
pp. 614-619 ◽  
Author(s):  
Sayama Hoque ◽  
MA Muttalib ◽  
Md Imtiajul Islam ◽  
Parvin Akter Khanam ◽  
Subhagata Choudhury
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Diabetic Retinopathy ◽  
Blood Glucose ◽  
Advanced Age ◽  
Diabetic Patients ◽  
Type 2 Diabetic Patients ◽  
Duration Of Diabetes ◽  
Type 2 Diabetic

Background: Retinopathy is the leading cause of blindness in persons with diabetes. Strict monitoring and maintenance of normal blood glucose specially HbA1c and prevention of different risk factors can prevent and delay the diabetic retinopathy. The purpose of the study was to explore the factors influencing or related to the development of the diabetic retinopathy with spcial concern to the HbA1c levels.Materials and Methods: We studied 400 type 2 diabetic patients in this cross-sectional study which was conducted in the out-patient department of BIRDEM hospital, Bangladesh. The randomly selected patients were evaluated for the presence of retinopathy through the review of their registered diabetic guide book. We included sociodemographic information, blood pressure, anthropometry (height, weight, BMI) and lipid profile of the patients. Glycaemic status was assessed by HbA1c (HbA1c was categorized into 3 groups) and plasma glucose levels. We used Student's t-test, Chi-square test and logistic regression analysis to determine and quantify the association of diabetic retinopathy with various risk factors specially HbA1c.Results: 400 type 2 diabetic patients (male 166 and female 234) were studied. The prevalence of retinopathy was 12.3%; male 12.7%, female 12.0%. Increasing HbA1c categories above 7.0% were significantly associated with increased prevalence of retinopathy (4.2 vs 12.3 vs 18.1%;c2 = 12.529, p < .01). Logistic regression models of univariate analysis showed that the risk of retinopathy at HbA1c categories >7.0% was (OR = 3.22; 95% CI: 1.12-9.25) and the risk was strongly increased at the HbA1c categories 8% (OR = 5.07; 95% CI: 1.90-13.50). Advanced age (OR = 2.92; 95% CI: 1.44-5.91), longer duration of diabetes (OR = 3.08; 95% CI: 1.49-6.37), presence of hypertension (OR = 2.42; 95% CI: 1.14-5.16), FBG (OR = 1.139; 95% CI: 1.036-1.251), blood glucose 2 hours ABF (OR = 1.124; 95% CI: 1.046-1.207) and SBP (OR = 1.033; 95% CI: 1.011-1.056) had significant association with retinopathy.Conclusions: HbA1c categories >7.0% is an important risk factor for the development of retinopathy. Poor glycaemic control, advanced age, longer duration of diabetes, hypertension are other significant risk factors of diabetic retinopathy.KYAMC Journal Vol. 6, No.-2, Jan 2016, Page 614-619

scholarly journals An Efficient Segmentation based Classification of Diabetic Retinopathy Identification using CLAHE with ResNet Model

2019 ◽  
Vol 8 (9) ◽  
pp. 2277-2283
Keyword(s):  
Diabetic Retinopathy ◽  
Histogram Equalization ◽  
Classification Model ◽  
Diabetic Patients ◽  
Detection Model ◽  
Adaptive Histogram Equalization ◽  
Active Population ◽  
Classifier Performance ◽  
Timely Treatment

Diabetic retinopathy (DR) is a widespread problem for diabetic patient and it has been a main reason for blindness in the active population. Several difficulties faced by diabetic patients because of DR can be eliminated by properly maintaining the blood glucose and by timely treatment. As the DR comes with different stages and varying difficulties, it is hard to DR and also it is time consuming. In this paper, we develop an automated segmentation based classification model for DR. Initially, the Contrast limited adaptive histogram equalization (CLAHE) is used for segmenting the images. Later, residual network (ResNet) is employed for classifying the images into different grades of DR. For experimental analysis, the dataset is derived from Kaggle website which is open source platform that attempts to build DR detection model. The highest classifier performance is attained by the presented model with the maximum accuracy of 83.78, sensitivity of 67.20 and specificity of 89.36 over compared models

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