Evaluating the Management of Diabetic Retinopathy in a Teaching Center

2002 ◽  
Vol 12 (6) ◽  
pp. 488-494
Author(s):  
N.M. Pharmakakis ◽  
I.K. Petropoulos ◽  
P.A. Peristeropoulos ◽  
C.V. Vantzou ◽  
J.X. Koliopoulos
Keyword(s):  
Diabetic Retinopathy ◽  
Laser Treatment ◽  
International Standards ◽  
Diabetic Patients ◽  
Panretinal Photocoagulation ◽  
Type I ◽  
Final Examination ◽  
Type Ii ◽  
Treatment Protocols ◽  
Teaching Center

Purpose To evaluate the efficacy of the management of diabetic retinopathy (DR) in the teaching center of the University Eye Clinic of Patras in Greece. Methods From 1989 to 1999, 302 patients with type I (5.3%) and type II (94.7%) diabetes mellitus (DM) were examined. Standard examination and treatment protocols were employed. Examinations and laser treatment were done by trainee specialists, under the supervision of the head physician (N.Ph), during their rotation in the retina and vitreous disorders outpatient department. Results At baseline examination, 17.9% of the eyes had no DR, 71.7% had nonproliferative DR, and 10.4% had proliferative DR. In 34.4%, no laser treatment followed. The other 65.6% underwent focal and/or grid laser and/or panretinal photocoagulation and/or vitrectomy. At the final examination, DR was still the same in 63.1% of the eyes, progression had occurred in 34.1%, and regression in 2.8%. Type I DM patients' eyes had a higher prevalence of proliferative DR at the final examination than type II DM eyes. There was also a significant correlation between progression of DR and duration of DM, insulin treatment for DM, and elevated glycosylated hemoglobin (HbA1c). Conclusions Having applied standard examination and treatment protocols, the efficacy of the management of our diabetic patients was consistent with international standards, even though patients were treated mostly by doctors in training.

A STUDY ON THE CORRELATION OF DIABETIC RETINOPATHY IN TYPE II DIABETES MELLITUS WITH SERUM VITAMIN D LEVELS

2021 ◽  
pp. 78-80
Author(s):  
Barnali Bhattacharyya Thakur ◽  
Keshab Bora ◽  
Sherin Gogoi
Keyword(s):  
Diabetes Mellitus ◽  
Vitamin D ◽  
Diabetic Retinopathy ◽  
Type Ii Diabetes ◽  
Serum Vitamin ◽  
Diabetic Patients ◽  
Type I ◽  
Type Ii ◽  
Serum Vitamin D ◽  
Vitamin D Levels

INTRODUCTION: Diabetes mellitus is a major public health problem with signicant morbidity and mortality. Diabetic retinopathy is one of the most common microvascular complications of Diabetes mellitus causing blindness. Vitamin D is a fat soluble vitamin involved in maintenance of mineral homeostasis and bone remodelling. Vitamin D deciency is highly prevalent in type I and type II Diabetes. 38 diabetic without ocular disease a METHOD: nd 30 diabetic with retinopathy were taken as cases and 38 age sex matched healthy persons were taken as controls. Serum Vit D and glucose were estimated and retinopathy was diagnosed by fundus examination. The results were statistically analysed. Statistica RESULTS: l analysis of the results shows a negative correlation between FBS and HbA1C with Vitamin D level in diabetic retinopathy patients. Patients CONCLUSION: with Diabetic retinopathy has lower serum Vitamin D level than diabetic patients without retinopathy.

scholarly journals Estimation of Prevalence of Dry Eye, and Ocular Surface Changes, in Patients of Diabetes Mellitus, in Vijaypur District, India

2021 ◽  
Vol 10 (32) ◽  
pp. 2559-2564
Author(s):  
Anand Gurabasappa Gannur ◽  
Madhu Guranna Patil ◽  
Prabhugouda Basangouda Lingadalli ◽  
Zameer Hassan Golewale
Keyword(s):  
Diabetes Mellitus ◽  
Diabetic Retinopathy ◽  
Dry Eye ◽  
Rose Bengal ◽  
Ocular Surface ◽  
Diabetic Patients ◽  
Type I ◽  
Type Ii ◽  
Dry Eyes ◽  
Surface Changes

BACKGROUND Diabetes mellitus (DM) is associated with a number of ocular complications such as diabetic retinopathy, cataract, refractory deviations, oculomotor nerve palsy etc. Recently, problems involving the ocular surface, dryness in particular, have been reported with dry eye symptoms, indicating a clear role for tear film abnormalities. The objectives of this study were to estimate the prevalence of dry eye and dry eye related ocular surface changes in diabetic patients, and to study the association between diabetic dry eyes and its relation to age, sex, glycemic control, duration of disease and diabetic retinopathy METHODS A hospital based clinical study of 100 diabetic patients who presented to the Department of Ophthalmology, Al Ameen Medical College and Hospital, Vijayapur from November 2019 to November 2020 was conducted. Detailed history was recorded. Assessment of anterior segment via slit lamp biomicroscopy was done. The examinations for dry eyes included Schirmer's test, tear break-up time, fluorescein and rose bengal staining and a questionnaire. The retinopathy was examined by ophthalmoscopy and was recorded. RESULTS Of the 100 diabetic patients, 2 (2 %) were type I and 98 (98 %) were type II diabetes. The mean age of type I group was 30 ± 0 years and 57.55 ± 27.07 years in type II group. 50 % were males in type I group, and 51.47 % in type II. Fifty nine (59 %) patients had dry eye. The prevalence in type I was 100 % and in type II was 58.16 %. Dry eye prevalence was maximum in those between 51 to 60 years of age (55.77 %). A 2.65 fold increase was found in the odds for dry eye in those with > 5 years of diabetic duration. The association of dry eye among uncontrolled was statistically highly significant with P value less than 0.001. The tear break up time was found to be ≤ 10 sec in 26 % (26/100). Schirmers test was found to be ≤ 10 mm in 27 % (27/100). Stains (Rose Bengal and fluorescein stain) were found to be abnormal in 18 %. Retinopathy was seen in 100 % of type I and 9.18 % of type II group. Statistically highly significant association was found between retinopathy and dry eyes (P < 0.001). CONCLUSIONS Diabetes and dry eye appears to have common association. Highly significant statistical correlation was found between retinopathy and dry eyes. Examination for dry eyes should be an integral part of the assessment of diabetic eye disease. KEY WORDS Diabetes, Dry Eye, Diabetic Retinopathy

scholarly journals Diabetic Retinopathy and Central Corneal Thickness

2019 ◽  
Vol 3 (3) ◽  
Keyword(s):  
Diabetes Mellitus ◽  
Diabetic Retinopathy ◽  
Central Corneal Thickness ◽  
Corneal Thickness ◽  
Diabetic Patients ◽  
Type I ◽  
Type Ii ◽  
The Mean

Background: Diabetes mellitus (DM) is a metabolic disease that can lead to many ocular complications such as increased Central Corneal Thickness (CCT), cataracts, and diabetic retinopathy. The aim of this study was to compare the CCT between subjects with type I and type II diabetes. Method: This was a retrospective study which included subjects with diabetes (with and without Diabetic Retinopathy (DR)) aged between 18 to 80 years old. The data collected were type and duration of diabetes mellitus, diabetes treatment, glycated hemoglobin level, visual acuity, CCT, and intra ocular pressure. Subjects were divided into subgroup (with and without DR). Statistical program (SPSS) was used to compare the central corneal thickness between the groups. Result: A total of 205 subjects with type I (n=100) and type II (n=105) diabetes were included in this study. In type 1 DM, the mean CCT was 547.06±27.3 microns in patients with diabetic retinopathy (DR) and 533.85±26.8 microns in patients without DR. In type 2 DM, the mean CCT was 542.85±39.3 microns in patients with DR and 532.44±27.4 microns in patients without DR. The CCT in type 1 diabetic patients was higher in both groups (with and without DR) than the CCT in type 2 diabetic patients in both groups (with and without DR). However, this was not statistically significant. Conclusion: The type of diabetes mellitus did not affect CCT. The presence of diabetic retinopathy in either type I or type II diabetes mellitus can affect the measurements of CCT.

Reliable IoT-based Health-care System for Diabetic Retinopathy Diagnosis to defend the Vision of Patients

2021 ◽  
Vol 17 (2) ◽  
pp. 220-236
Author(s):  
Sengathir Janakiraman ◽  
Deva Priya M. ◽  
Christy Jeba Malar A. ◽  
Karthick S. ◽  
Anitha Rajakumari P.
Keyword(s):  
Diabetic Retinopathy ◽  
Vision Loss ◽  
Spatial Information ◽  
Superior Performance ◽  
Diabetic Patients ◽  
Type I ◽  
Maximum Magnitude ◽  
Fundus Images ◽  
Type Ii ◽  
Content Type

Purpose The purpose of this paper is to design an Internet-of-Things (IoT) architecture-based Diabetic Retinopathy Detection Scheme (DRDS) proposed for identifying Type-I or Type-II diabetes and to specifically advise the Type-II diabetic patients about the possibility of vision loss. Design/methodology/approach The proposed DRDS includes the benefits of automatic calculation of clip limit parameters and sub-window for making the detection process completely adaptive. It uses the advantages of extended 5 × 5 Sobels operator for estimating the maximum edges determined through the convolution of 24 pixels with eight templates to achieve 24 outputs corresponding to individual pixels for finding the maximum magnitude. It enhances the probability of connecting pixels in the vascular map with its closely located neighbourhood points in the fundus images. Then, the spatial information and kernel of the neighbourhood pixels are integrated through the Robust Semi-supervised Kernelized Fuzzy Local information C-Means Clustering (RSKFL-CMC) method to attain significant clustering process. Findings The results of the proposed DRDS architecture confirm the predominance in terms of accuracy, specificity and sensitivity. The proposed DRDS technique facilitates superior performance at an average of 99.64% accuracy, 76.84% sensitivity and 99.93% specificity. Research limitations/implications DRDS is proposed as a comfortable, pain-free and harmless diagnosis system using the merits of Dexcom G4 Plantinum sensors for estimating blood glucose level in diabetic patients. It uses the merits of RSKFL-CMC method to estimate the spatial information and kernel of the neighborhood pixels for attaining significant clustering process. Practical implications The IoT architecture comprises of the application layer that inherits the DR application enabled Graphical User Interface (GUI) which is combined for processing of fundus images by using MATLAB applications. This layer aids the patients in storing the capture fundus images in the database for future diagnosis. Social implications This proposed DRDS method plays a vital role in the detection of DR and categorization based on the intensity of disease into severe, moderate and mild grades. The proposed DRDS is responsible for preventing vision loss of diabetic Type-II patients by accurate and potential detection achieved through the utilization of IoT architecture. Originality/value The performance of the proposed scheme with the benchmarked approaches of the literature is implemented using MATLAB R2010a. The complete evaluations of the proposed scheme are conducted using HRF, REVIEW, STARE and DRIVE data sets with subjective quantification provided by the experts for the purpose of potential retinal blood vessel segmentation.

scholarly journals Updating Experimental Models of Diabetic Cardiomyopathy

2015 ◽  
Vol 2015 ◽  
pp. 1-15 ◽  
Author(s):  
J. Fuentes-Antrás ◽  
B. Picatoste ◽  
A. Gómez-Hernández ◽  
J. Egido ◽  
J. Tuñón ◽  
...  
Keyword(s):  
Diabetic Cardiomyopathy ◽  
Type Ii Diabetes ◽  
Genetic Manipulation ◽  
Experimental Models ◽  
Diabetic Patients ◽  
Type I ◽  
Type Ii ◽  
Genetic Modifications ◽  
Human Diabetes ◽  
Contractility Of The Myocardium

Diabetic cardiomyopathy entails a serious cardiac dysfunction induced by alterations in structure and contractility of the myocardium. This pathology is initiated by changes in energy substrates and occurs in the absence of atherothrombosis, hypertension, or other cardiomyopathies. Inflammation, hypertrophy, fibrosis, steatosis, and apoptosis in the myocardium have been studied in numerous diabetic experimental models in animals, mostly rodents. Type I and type II diabetes were induced by genetic manipulation, pancreatic toxins, and fat and sweet diets, and animals recapitulate the main features of human diabetes and related cardiomyopathy. In this review we update and discuss the main experimental models of diabetic cardiomyopathy, analysing the associated metabolic, structural, and functional abnormalities, and including current tools for detection of these responses. Also, novel experimental models based on genetic modifications of specific related genes have been discussed. The study of specific pathways or factors responsible for cardiac failures may be useful to design new pharmacological strategies for diabetic patients.

The development and progression of diabetic retinopathy in type I diabetic patients: a cohort study

1997 ◽  
Vol 14 (10) ◽  
pp. 858-866 ◽  
Author(s):  
O. Kalter-Leibovici ◽  
L. Leibovici ◽  
N. Loya ◽  
I. Kremer ◽  
R. Axer-Siegel ◽  
...  
Keyword(s):  
Diabetic Retinopathy ◽  
Cohort Study ◽  
Diabetic Patients ◽  
Type I
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