View clinical trials related to Diabetic Retinopathy.
Filter by:Patients with type 2 diabetes have an increased risk of developing vascular complications. Microvascular dysfunction might be caused by the increased production of methylglyoxal under hyperglycaemic conditions. Methylglyoxal is a by-product of glycolysis and forms advanced glycation endproducts (AGEs) on proteins and DNA, thereby disrupting their function. Preventing methylglyoxal accumulation and AGEs formation may offer a therapeutic option for treating microvascular complications in diabetics. Pyridoxamine is a vitamin B6 vitamer that scavenges methylglyoxal and thereby inhibits the formation of AGEs. In this study, the researchers investigate whether pyridoxamine supplementation in type 2 diabetes improves microvascular function in the eye, kidney and skin, and reduces markers of endothelial dysfunction and glycation.
Macular edema in diabetes, defined as retinal thickening within two disc diameters of the center of the macula, results from retinal microvascular changes that compromise the blood-retinal barrier, causing leakage of plasma constituents into the surrounding retina and consequently retinal edema. Thickening of the basement membrane and reduction in the number of pericytes are believed to lead to increased permeability and incompetence of the retinal vasculature. This compromise of the blood-retinal barrier leads to the leakage of plasma constituents into the surrounding retina with subsequent retinal edema. Hypoxia produced by this mechanism can also stimulate the production of vascular endothelial growth factor (VEGF). Vascular endothelial growth factor (VEGF) increases retinal vascular permeability, causes breakdown of the blood-retina barrier and results in retinal edema. Diabetic macular edema (DME) is the most common cause of visual reduction in patients with Diabetes Mellitus. The prevalence of DME globally is around 6.8 %. Diabetic Retinopathy (DR) is the most common microvascular complication of diabetes and the leading cause of blindness worldwide. DME is a complication of diabetic retinopathy that affects the macula, which is located at the center of the retina and responsible for central vision. Bangladesh is the 10th country in the world for the number of adults living with diabetes with some 7.1 million (5.3-12.0). In Bangladesh, it is therefore expected that diabetic secondary complications, like DR, will increase along with the rising trend of diabetes mellitus. The use of therapeutic monoclonal antibodies has revolutionized in the treatment of many diseases. In recent years, millions of patients have been successfully treated with these biological agents. Ranibizumab is one such therapeutic monoclonal antibody for intraocular use. Ranibizumab is a humanized, recombinant, immunoglobulin G1 monoclonal antibody fragment against vascular endothelial growth factor A (VEGF-A) and thus prevents choroidal neovascularization. The small size of ranibizumab allows for enhanced diffusion into the retina and choroid.
The goal of this prospective multicenter open label study is to evaluate the efficacy and safety of intravitreal injection Conbercept (IVC) for the treatment of diabetic macular edema (DME) combined with severe nonproliferative diabetes retinopathy (sNPDR). The main questions it aims to answer are: - mean changes in best corrected visual acuity (BCVA) and central macular thickness (CMT) in comparison with baseline at 12 months after initial treatment - proportion of eyes with visual gain ≥15 letters in Early Treatment Diabetic Retinopathy Study (ETDRS) chart and ≥2-step improvement in Diabetic Retinopathy Severity Scale (DRSS) score after 12 months of the treatment - proportion of eyes actually underwent PRP treatment after 3 and 12 months of the treatment - mean changes in BCVA and CMT from baseline to monthly follow-up time point - complications and adverse effects
This trial aims to provide a digital retinal image dataset from Pakistan, graded by three specialists according to the severity of Diabetic Retinopathy. The dataset aims to improve research and patient care.
This study will demonstrate that tarcocimab 5 mg is superior to sham treatment in participants with moderately severe to severe NPDR.
The goal of this observational study is to observe the formation and development of the non-perfusion area of diabetic retinopathy in the posterior area of the retina in type 2 diabetes patients aged 18-75 years old, who can cooperate with all examinations and sign informed consent, clinical myopathy examination and Optos 7 field of vision with mild than severe NPDR, and no other exclusion indicators.The main questions it aims to answer are whether posterior retinal non-perfusion area occurs earlier than peripheral non-perfusion area and whether the rate of non-perfusion area expansion is a risk factor for the progression of diabetic retinopathy. Participants will have protocol-specific follow-up examinations at 1, 2, 3, 4, and 5 years (± 3 months). Additional visits are made as required by the study and the patient's condition. The contents of follow-up examinations are: History of other diseases, medications being used, eye diseases, surgeries, treatments, height, weight, and blood pressure. Best corrected vision, logarithmic visual acuity chart. Tupai OCTA, 24×20mm range, 6×6mm range scan. Optos fundus imaging, color and no red light images. Fundus fluorescence angiography (only preliminary examination for the first time found mild to moderate NPDR patients, who have been angiographed in the past, only at the 5th year, or as required by the condition). Glycosylated hemoglobin. Creatinine, urea, glomerular filtration rate. Total cholesterol, triglycerides, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol. Urinary microalbumin/urinary creatinine ACR. Microvisual field.
The goal of this clinical trial is to perform a detailed description of the feno- and genotype of people living with type 2 diabetes and severe obesity who are linked to care at Steno Diabetes Center Greenland. The main questions it aims to answer are: - Are monogenetic diabetes variants associated with the same risk of developing late diabetic complications as other types of diabetes? - Can genotyping and thereby personalized medicine be implemented in Greenland, and can personalized medicine lead to improved treatment? - What is the prevalence of sleep apnea among high-risk individuals in Greenland? - Is it possible to develop and implement a simple algorithm for the identification of sleep apnea in Greenland that can ensure treatment of severe sleep apnea? Participants will: - Answer WHO-5 and FOSQ-10 questionnaires regarding quality of life and functional outcomes of sleepiness - Perform VAGUS examinations for Cardiovasculare Autonomic Neuropathy - Clinical examination of height, weight, circumference of hip, waist and neck, Friedman tonsil and tongue score, nasal air flow, nasal septal deviation - Blood samples for full genome sequencing
The goal of this clinical trial is to learn about the performance of the AEYE-DS Software Device to automatically detect more than mild Diabetic Retinopathy (mtmDR) in adult participants diagnosed with Diabetic Mellitus (DM) using fundoscopic images of the eyes. The main question it aims to answer is if the software is effective in diagnosing more than mild Diabetic Retinopathy (mtmDR) in patients with known diabetes using digital funduscopic images, acquired from each of the participating fundoscopy devices and based on one macula centered image per eye. Participants: - will have an eye exam in which photographic images of each eye will be taken by a novice operator, using four different FDA approved/registered fundoscopy cameras. These images will be sent to and analyzed by the AEYE-DS software device. - will have additional eye imaging taken using a different FDA approved desktop camera system by a professional ophthalmic photographer. These images will be sent to an independent reading center for analysis. - will have dilation drops put in their eyes (either during or after the imaging with the fundoscopy cameras), wait about 30 minutes for the pupils to dilate and continue the eye imaging exams. The outcome results with the AEYE-DS Software will be compared to the analysis of the eye images processed by the reading center to see if the investigational software device was accurate in its diagnosis.
The researchers have used the ophthalmology textbook, clinical guideline consensus, the Internet conversation data and knowledge base of Zhongshan Ophthalmology Center in the early stage, combined with artificial feedback reinforcement learning and other techniques to fine-tune and train the LLM, and developed "Digital Twin Patient", a localized large language model that has the ability to answer ophthalmology-related medical questions, and also constructed a combination of automated model evaluation and manual evaluation by medical experts. The evaluation system combining automated model evaluation and manual evaluation by medical experts was constructed at the same time. This project intends to integrate "Digital Twin Patient" into undergraduate ophthalmology apprenticeship, simulate the consultation process of real patients through the online interaction between students and "Digital Twin Patient", explore the effect of "Digital Twin Patient" consultation teaching, provide emerging technology tools for guiding medical students to actively learn a variety of ophthalmology cases, cultivate clinical thinking, and provide the possibility of creating a new mode of intelligent teaching.
Eye health is of great importance for quality of life. Some eye diseases can progress and cause permanent damage up to vision loss if they are not treated early. Therefore, it is of great importance to have regular eye examinations and to detect possible eye diseases before they progress. Healthy people should also undergo eye screening once a year, and those with any complaints regarding eye health should be examined. With the advancing technology, Artificial Intelligence (AI) has begun to play a significant role in the healthcare sector. Retinal diseases, serious health problems resulting from damage to the back part of the eye's retina, include conditions such as retinopathy, macular degeneration, and glaucoma. Artificial intelligence, with its visual recognition and analysis capabilities, holds great potential in the early diagnosis of retinal diseases. AI-based diagnosis of retinal diseases typically involves the use of specialized algorithms that analyze retinal images. These algorithms identify abnormal features in the eye, providing doctors with a quick and accurate diagnosis. EyeCheckup v2.0 will diagnose glaucoma suspicion, severe glaucoma suspicion, age-related macular degeneration diagnosis, RVO diagnosis, diabetic retinopathy diagnosis and stage, presence/absence of DME suspicion and other retinal diseases from fundus images. This study is designed to assess the safety and efficacy of EyeCheckup v2.0. The study is a single center study to determine the sensitivity and specificity of EyeCheckup to retinal and optic disc diseases. EyeCheckup v2.0 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.