Active clinical trials for "Diabetic Retinopathy"

Evolucare OphtAI is a medical device offering automated, artificial intelligence powered, screening capabilities for Diabetic Retinopathy, Diabetic Macular Edema, Glaucoma, ARM and AMD, whose performances will by tested through the OphtAI-EVAL.

This is a pilot study of a patient navigator intervention for people living with diabetes and at high risk of diabetic blindness. The investigators are assessing the feasibility and acceptability of the intervention in preparation for a clinical trial.

Hypothesis: Patients undergoing pars plana vitrectomy for the indication of diabetic vitreous hemorrhage will have a lower incidence of postoperative vitreous hemorrhaging during the 6-month trial period when vitreous substitution with 20-30% sulfur hexafluoride gas is utilized compared to vitreous substitution with balanced salt solution.

The purpose of this study is to assess the impact of using autonomous artificial intelligence (AI) system for identification of diabetic retinopathy (DR) and diabetic macular edema on productivity of retina specialists in Bangladesh. Globally, the number of people with diabetes mellitus is increasing. Diabetic retinopathy is a chronic, progressive complication of diabetes mellitus that affects the microvasculature of the retina, which if left untreated can potentially result in vision loss. Early detection and treatment of diabetic retinopathy can prevent potential blindness. Study Aim: To assess the impact of using autonomous artificial intelligence (AI) system for detection of diabetic retinopathy (DR) and diabetic macular edema on physician productivity in Bangladesh. Main study question: Will ophthalmologists with clinic days randomized to use autonomous AI DR detection for all persons with diabetes (diagnosed or un-diagnosed) visiting their clinic system have a greater number of examined patients with diabetes (by either AI or clinical exam), and a greater complexity of examined patients on a recognized grading scale, per physician working hour than those randomized not to have autonomous AI screening for their diabetes population? The investigators anticipate that this study will demonstrate an increase in physician productivity, supporting efficiency for both physicians and patients, while also addressing increased access for DR screening; ultimately, preventing vision loss amongst diabetic patients. The study has the potential to contribute to the evidence base on the benefits of AI for physicians and patients. Additionally, the study has the potential to demonstrate the benefits (and/or challenges) of implementing AI in resource-constrained settings, such as Bangladesh.

This pragmatic clinical trial is being conducted to test the effectiveness of I-SITE (Implementation for Sustained Impact in Teleophthalmology), an implementation program to sustain increased diabetic eye screening rates using teleophthalmology in rural, multi-payer health systems. Up to 10 rural health systems providing teleophthalmology to 10,000 patients with diabetes and 100 clinical care personnel participating in the I-SITE intervention will be enrolled for up to 48 months.

CD160 represents a new angiogenic factor as its specific engagement by an agonist monoclonal antibody directed against human CD160 reduced angiogenesis of endothelial cells with a distinct mechanism from current angiogenic therapies that target the VEGF/VEGF-R pathway. A soluble form of CD160, sCD160, has been found to be highly expressed in the vitreous and the sera of patients with severe diabetic retinopathies, and can now be dosed with help of an ELISA test. The investigators aim to evaluate the association between ischaemic retinopathies (patients with or without) and sCD160 concentrations in the vitreous, the aqueous humour and the serum.

Because of a shared ontogenic origin, the retina displays similarities to the brain and spinal cord in terms of anatomy, functionality, response to insult, and immunology. Hence, the retina can be approached as an integral part of the central nervous system. The occurence of ocular manifestations in several neurodegenerative pathologies, such as Alzheimer's disease and Parkinson's disease, accentuates the strong relationship between eye and brain. Particularly retinal changes can present a substrate for cerebral changes in these disorders. Offering a 'window to the brain', the transparent eye enables non-invasive imaging of these changes in retinal structure and vasculature. In this project, the potential of retinal biomarkers for e.g. Alzheimer's will be explored with the aim to overcome some of the hurdles in the current management of these pathologies, mainly the lack of techniques for patient screening and early diagnosis. The aim of this clinical trial is to correlate the retinal biomarkers for Alzheimer's with neuro-imaging, and cognitive function. Integrating the results will yield non-invasive retinal biomarkers for clinical research, screening, and follow-up of disease progression in various neurodegenerative disorders.

The duration of diabetes is directly related to eye complications. Diabetic retinopathy affects 80 percent of those who have had diabetes for 20 years or more. At least 90% of new cases can be reduced with proper treatment and monitoring of the eyes. The longer a person has diabetes, the more likely it is to develop diabetic retinopathy. Each year in the United States, diabetic retinopathy accounts for 12% of all new cases of blindness. It is also the leading cause of blindness in people between the ages of 20 and 64. The most important complication of diabetes leading to vision loss is diabetic retinopathy. Depending on this, macular edema, bleeding into the retina and vitreous,neovascular glaucoma can cause blindness. Diabetic retinopathy (DR) is a leading cause of vision-loss globally. Of an estimated 285 million people with diabetes mellitus worldwide, approximately one third have signs of DR and of these, a further one third of DR is vision-threatening DR, including diabetic macular edema (DME). Diabetic retinopathy is a retinal disease that can often be stopped with early diagnosis, but if neglected, it can lead to severe vision loss, including permanent blindness. Diabetes has high morbidity and there are millions of people who should be screened for diabetic retinopathy (DR). Annual eye screening is recommended for all diabetic patients since vision loss can be prevented if DR is diagnosed in its early stages. Currently, the number of clinical personnel trained for DR screening is less than that needed to screen a growing diabetic population. Therefore, the automatic DR screening system will be able to screen more diabetic patients and diagnose them early. EyeCheckup is an automated retinal screening device designed automatically analyze color fundus photographs of diabetic patients to identify patients with referable or vision threatening DR. This study is designed to assess the safety and efficacy of EyeCheckup. The study is a single center study to determine the sensitivity and specificity of EyeCheckup to diabetic retinopathy. EyeCheckup is an automated software device that is designed to analyze ocular fundus digital color photographs taken in frontline primary care settings in order to quickly screen for diabetic retinopathy (DR).

Results from large clinical trials demonstrate a strong association between lipid abnormalities and progression of the most common microvascular complication, diabetic retinopathy (DR). We found that activation of a master regulator of cholesterol metabolism, the nuclear hormone receptors liver X receptors (LXRα/LXRβ), prevents DR in rodent models. In this application, we seek to understand the mechanisms responsible for the beneficial effects of LXR agonists on retina and on bone marrow (BM) to preserve the function of reparative cells while reducing inflammatory cell.

To characterize both functionally and morphologically initial Diabetic Retinopathy (DR) stages and their progression over a period of 10 years.