Active clinical trials for "Diabetic Retinopathy"

The purpose of this study is to evaluate possible mechanisms of central visual loss in patients with diabetes mellitus. The visual loss of interest to be investigated is that associated with macular edema (prior to and following laser photocoagulation treatment) and that associated with panretinal photocoagulation. The evaluation will be performed with psychophysical testing, i.e., static perimetry and contrast sensitivity function. Of particular interest, the mechanisms of visual loss associated with macular edema (prior to and following laser photocoagulation) will be further investigated. Photoreceptor-mediated visual loss will be assessed by measurements of the Stiles-Crawford effect. Visual loss mediated by post-receptoral retinal changes will be assessed by measuring the Westheimer spatial desensitization/sensitization effect.

Diabetic macular edema (DME) is the most common cause of vision loss in diabetic patients. While anti-VEGF treatments and to a lesser extent corticosteroid and macular photocoagulation have improved outcomes in patients with DME, no single therapy is universally effective and currently there is no a priori means of determine which patients will respond best to any given therapy. The purpose of this study is to determine whether specific parameters of ocular imaging studies including optical coherence tomography and fluorescein angiography can predict response to treatment in patients with DME. This is a prospective observational cohort study that will collect clinical data and imaging studies obtained as standard of care. Up to 150 subjects with clinically significant DME will be enrolled at Duke Eye Center or its satellite offices. These imaging studies will be analyzed to determine whether specific parameters are associated with poor or favorable response to specific treatments. There will be no intervention as part of this observational trial, thus the primary risk to subjects is loss of confidentiality, which will be minimized by the study team.

This study analyzed diabetic patients without evidence of glaucoma who underwent panretinal photocoagulation to determine the effect on optic disc topographic parameters in non-glaucomatous patients with proliferative diabetic retinopathy (PDR).

Given the high number of people with DMO and PDR, the need for patients to be seen at short follow-up intervals, the need for frequent treatments and the requirement for long-term follow-up, there is a very large workload in Hospital Eye Services related to DMO/PDR which is making it difficult for the NHS to cope with the demand, in particular, due to shortage of ophthalmologists. This is only expected to get worse given the increasing prevalence of DM. Identifying new ways of increasing the NHS capacity and efficiency without compromising the quality of care would greatly benefit the NHS. The purpose of this study is to determine whether successfully treated patients with DMO and PDR could be followed up without a face-to-face examination by an ophthalmologist. EMERALD will evaluate a new care pathway which will include multimodal retinal imaging and separate image assessment by trained ophthalmic graders. This new pathway will be compared to the current standard care pathway: for DMO: ophthalmologist evaluating patients in clinic by slit-lamp biomicroscopy and with access to OCT images; for PDR ophthalmologists evaluating patients in clinic by slit-lamp biomicroscopy. EMERALD will compare how accurate the new pathway is at determining which patients have active or inactive disease. The costs and acceptability of current and new models of care will also be compared.

The main objectives of this observational study were to describe outcomes, monitoring and treatment patterns of patients with diabetic macular edema in routine clinical practice who are either treatment naïve patients or previously treated patients. The total study population was evaluated as well as the two subgroups (previously treated patients and treatment naïve patients). This study was designated to answer French Health Authority (HAS Haute Autorité de Santé) requirements.

Diabetes mellitus is a leading cause of death and disability. Diabetic Retinopathy (DR) is an eye disease that affects the eyesight of about 21.3% persons with diabetes in Bangladesh in a way that is irreversible because of the nature of the disease. According to International Diabetes Federation Diabetes Atlas (5th Edition), in 2011 there were approximately 8.4 million people in the age bracket 20-79 suffering from diabetes in Bangladesh, and this number is projected to double to 16.8 million by 2030. Based on these statistics, and also according to a nationally published report, the number of persons with DR is estimated to be about 1.8 million in Bangladesh. Taking measures to delay vision loss in persons with diabetes is more cost-effective than its treatment. Timely and effective referral of DR cases to an Ophthalmologist is very important in the prevention of this disease. The objective of this study is to identify reasons of DR referral procedure compliance and non-compliance among registered persons with diabetes in a diabetic clinic and recommend effective strategies to enhance the referral system. The first phase of study is cross-sectional. Second phase of study is a Randomized Controlled Trial (intervention group to receive home-based health education and control group to receive standard care). It is expected that the number of registered persons with diabetes of Barishal DAB hospital who were referred to an Eye Consultant at a tertiary hospital from September 2017 - August 2018 will be N=300. All 300 participants will be eligible for inclusion in the first phase of the study. This group (est. N=300) will be categorized into compliant (est. N=120) and non-compliant participants (est. N=180). Both groups will be interviewed to understand motivation factors for compliance and de-motivation factors for non-compliance. In the second phase of the study, the non-compliant group will be categorized further into intervention and control groups following Randomization. The intervention group will receive relevant health education messages on Diabetic Retinopathy and information about the days and times when eye care services are provided at the tertiary hospital (i.e. service availability information). They will be provided with telephonic reminders at Days 7, 30 and 90 after the health education. Then, after a gap of one month from the last telephonic reminder, both control and intervention groups will be interviewed again. In this way this study will conclude whether the health education intervention is an effective way of improving compliance rate of referred DR persons. All questionnaires will be pre-tested in the study location. All participants will have to sign a detailed Bengali informed consent form. SPSS software will be used for data entry and analysis. Multiple Logistic Regression, along with other tests, will be used to identify variables that significantly influence successful referrals.

This study will determine whether certain factors in the blood are associated with the severity of diabetic retinopathy. Patients age 10 years and older with diabetes mellitus and diabetic retinopathy may be eligible for this study. Those enrolled will represent a range of diabetic retinopathy from minimal to severe. Participants will undergo the following procedures: medical history thorough eye examination photographs of the eye blood tests to measure blood lipids (cholesterol and triglycerides) and serum creatinine (for kidney function) blood tests to measure levels of blood factors (cell adhesion molecules, chemokines and vascular endothelial growth factor) that may be related to the progression of diabetic retinopathy blood pressure measurement urinalysis This study may lead to a better understanding of how diabetic retinopathy develops and progresses.

Diabetic macular edema (DME) is an important cause of central vision impairment among people with diabetic retinopathy (DR), which can have a significant adverse effect on daily activities and quality of life. Diabetic patients with preexisting DME are at increased risk of worsening edema following cataract surgery. Previous studies also reported progression of DR after cataract surgery. Clinically significant DME is now classified into center-involved DME (CI-DME) and non center-involved DME (non-CI DME). Randomized clinical trials have established intravitreal antivascular endothelial growth factor (VEGF) therapy as first-line treatment for visual impairment from CI-DME and studies have addressed the influence of anti-VEGF therapy among patients with DME undergoing cataract surgery. However, for patients with non-CI DME before cataract surgery, whether anti-VEGF therapy is necessary at the end of surgery to prevent CI-DME is still clinically controversial. In order to evaluate the prophylactic effect of Conbercept (a recombinant fusion protein with high affinity to all VEGF isoforms and PIGF) intravitreal injection at the conclusion of cataract surgery for DME in patients with DR, the investigators will prospectively recruit 40 cataract patients with DR and non-CI DME and randomly assign these subjects into the study group (combined cataract surgery and intravitreal Conbercept injection, 20 cases) and the control group (cataract surgery alone, 20 cases). The primary outcomes include mean changes in central retinal thickness (CRT) and in diabetic retinopathy severity score (DRSS). The secondary outcomes include changes in best corrected visual acuity (BCVA), foveal avascular zone (FAZ), retinal vessel density (VD), the aqueous concentrations of VEGF, PIGF, interleukin- (IL-) 2, IL-5, IL-6, and IL-8.

Blindness can be caused by many ocular diseases, such as diabetic retinopathy, retinal vein occlusion, age-related macular degeneration, pathologic myopia and glaucoma. Without timely diagnosis and adequate medical intervention, the visual impairment can become a great burden on individuals as well as the society. It is estimated that China has 110 million patients under the attack of diabetes, 180 million patients with hypertension, 120 million patients suffering from high myopia and 200 million people over 60 years old, which suggest a huge population at the risk of blindness. Despite of this crisis in public health, our society has no more than 3,000 ophthalmologists majoring in fundus oculi disease currently. As most of them assembling in metropolitan cities, health system in this field is frail in primary hospitals. Owing to this unreasonable distribution of medical resources, providing medical service to hundreds of millions of potential patients threatened with blindness is almost impossible. To solve this problem, this software (MCS) was developed as a computer-aided diagnosis to help junior ophthalmologists to detect 13 major retina diseases from color fundus photographs. This study has been designed to validate the safety and efficiency of this device.

Diabetic macular edema (DME) is one of the leading causes of visual impairment in patients with diabetes. Fluorescein angiography (FA) plays an important role in diabetic retinopathy (DR) staging and evaluation of retinal vasculature. However, FA is an invasive technique and does not permit the precise visualization of the retinal vasculature. Optical coherence tomography (OCT) is a non-invasive technique that has become popular in diagnosing and monitoring DR and its laser, medical, and surgical treatment. It provides a quantitative assessment of retinal thickness and location of edema in the macula. Automated OCT retinal thickness maps are routinely used in monitoring DME and its response to treatment. However, standard OCT provides only structural information and therefore does not delineate blood flow within the retinal vasculature. By combining the physiological information in FA with the structural information in the OCT, zones of leakage can be correlated to structural changes in the retina for better evaluation and monitoring of the response of DME to different treatment modalities. The occasional unavailability of either imaging modality may impair decision-making during the follow-up of patients with DME. The problem of medical data generation particularly images has been of great interest, and as such, it has been deeply studied in recent years especially with the advent of deep convolutional neural networks(DCNN), which are progressively becoming the standard approach in most machine learning tasks such as pattern recognition and image classification. Generative adversarial networks (GANs) are neural network models in which a generation and a discrimination networks are trained simultaneously. Integrated network performance effectively generates new plausible image samples. The aim of this work is to assess the efficacy of a GAN implementing pix2pix image translation for original FA to synthetic OCT color-coded macular thickness map image translation and the reverse (from original OCT color-coded macular thickness map to synthetic FA image translation).