View clinical trials related to Diabetic Retinopathy.
Filter by:Diabetic retinopathy is frequent, potentially severe with visual threat, health costly and represents a major public health problem. However, screening compliance for retinopathy remains too low in France, approximately 40% patients with diabetes laking diabetic retinopathy screening for at least 2 years. DIABeyeIA is a prospective pilot study evaluating the effectiveness and acceptability of diabetic retinopathy screening in 11 pharmacies in Normandy (north of France) using a non-mydriatic portable retinophotograph enhanced by artificial intelligence software. The main goal of this work is to evaluate a potential increase rate of diabetic retinopathy screening, compared to the actual rate (64% in France). Secondary goals are faisability, satisfaction and economical considerations for implementation of such a new screening program.
Diabetic retinopathy is a significant source of visual morbidity in the adult population. Complications of diabetic retinopathy include ischemic maculopathy, macular edema, and sequelae of fibrovascular proliferation, such as vitreous hemorrhage (VH), tractional retinal detachment (TRD), and neovascular glaucoma.Pars plana vitrectomy (PPV) is traditionally performed for nonclearing VH, significant fibrovascular proliferation, refractive macular edema, and/or TRD, particularly if macula-involving. However, the pathogenesis is complex and multifactorial: Pro-infammatory cytokines and chemokines signifcantly contribute to the disease development and promote ischemic changes in the retina. Therefore, there is a potential role for intravitreal steroids in disease modifcation.
1. Definition: Diabetic retinopathy is a microangiopathic complication of diabetes diabetes mellitus. Its pathophysiology includes glycation and intracellular hypoxia. Diabetic retinopathy (DR) is a microvascular complication of diabetes. It is the leading cause of It is the leading cause of blindness and visual impairment in people under the age of 60 in industrialized countries. Chronic hyperglycemia during diabetes plays a major role in the occurrence of diabetic diabetic retinopathy by promoting protein glycation and the accumulation of glycation end products (GTPs). GTPs are a heterogeneous group of compounds resulting from non-enzymatic and irreversible reactions between reducing sugars and amine groups of biological molecules such as proteins, lipids or nucleic acids. 2. Interest: The aim of our work is to describe the mechanisms by which glycation participates in the pathophysiology of diabetic retinopathy and to discuss the use of AGEs as biomarkers in this biomarkers in this pathological context and the therapeutic means that limit the toxicity of of AGEs. The study is designed through a retrospective and prospective observational study to establish the of glycation in the occurrence of diabetic retinopathy. It will describe the demographic demographic profiles, glycemic control, clinical and paraclinical status of patients with diabetic diabetic retinopathy and will evaluate the relationship between glycation and diabetic retinopathy as well as the factors that influence this glycation in these patients, and induce the occurrence and / or of diabetic retinopathy. The data collected will allow to improve the knowledge, the diagnosis and the treatment of diabetic diabetic retinopathy, as well as a good management of the patients who should benefit from a more individualized and individualized and adequate treatment.
The DRAGONS study is a non-interventional, prospective study that will 1. characterize disease state biomarker (including cytokines, KKS metabolites, and cell adhesion molecules) levels from aqueous humor of subjects with various stages of diabetic retinopathy (DR) and diabetic macular edema (DME) as well as other retinal pathologies, and 2. correlate a broad array of aqueous humor disease state biomarkers with DR severity, DME anti-vascular endothelial growth factor (VEGF) responsiveness, and other retinal pathologies.
In this pivotal trial, we aim to perform a prospective study to find the efficacy of iPredict, an artificial intelligence (AI) based software tool on early diagnosis of Diabetic Retinopathy (DR)in the primary care, optometrist and other diabetes-screening clinics. DR is one of the leading causes of blindness in the United States and other developed countries. Every individual with diabetes is at risk of DR. It does not show any symptom until the disease is progressed to advanced stages. If the disease is caught at an early stage, it can be prevented, managed or treated effectively. Currently, screening for DR is done by the Ophthalmologists, which is limited to areas with limited availability. This is also time-consuming and expensive. All of these can be complemented by automated screening and set up the screening in the primary care clinics.
To evaluate the added value of the use of artificial intelligence in the diagnosis of referable diabetic retinopathy in a teaching hospital setting
Study and assessment of characteristic changes in foveal avascular zone during different stages of diabetic retinopathy using OCTA.
The Retinal Care Data Repository's primary objective is to make data available for Retinal Care to develop algorithms that improve the care of people with retinal diseases.
This prospective study aims to validate if NeoRetina, an artificial intelligence algorithm developped by DIAGNOS Inc. and trained to automatically detect the presence of diabetic retinopathy (DR) by the analysis of macula centered eye fundus photographies, can detect this disease and grade its severity.
The surgically-harvested eye tissue (ie. vitreous-retinal proliferative membrane, outflow pathway, retinas, and pterygium) is a complex tissue responsible for maintaining intraocular homeostasis or mediating ocular pathogenesis. Dysfunction of one or more resident cell types within the tissues results in different ocular disorder, leading to vision loss, or even blindness. In this study, we aim to use single-cell RNA sequencing to generate a comprehensive cell atlas of surgically-harvested eye tissues.