Active clinical trials for "Uveitis"

The purpose of this study is to conduct a prospective analysis to determine the relationship between disease activity of noninfectious uveitis and stress.

Today there are no tests that allow to make a precise differential diagnosis between uveitis from presumed tuberculous origin and uveitis by sarcoidosis. Therefore, with this study, investigators aim to identify, in the aqueous humor and in the blood of participants (patients that suffering from one of these two forms of uveitis) the presence of immunologic markers that distinguish between uveitis of tuberculous etiology and uveitis by sarcoidosis.

This study aimed to discover the composition on the microbiome in several sites of the human body; and to find out the difference in microbiome composition on ocular fluid, blood, and feces before and after therapy in uveitis patient with history of autoimmune disease (Behcet and Vogt-Koyanagi-Harada) and idiopathic uveitis

Endophthalmitis is also called vitreous inflammation. Broadly speaking, it refers to all kinds of serious intraocular inflammation, such as vitreitis, anterior chamber empyema and eye pain caused by intraocular infection, intraocular foreign body, tumor necrosis, severe non infectious uveitis, lens cortex allergy, etc. Clinically, it generally refers to infectious endophthalmitis caused by bacteria, fungi or parasites. According to the different ways of infection, it can be divided into exogenous endophthalmitis and endogenous endophthalmitis. Exogenous endophthalmitis is more common. When inflammation involves sclera or extraocular orbital tissue, it is called "panophthalmia". Endophthalmitis is a kind of serious intraocular inflammation which can lead to the loss of visual function. Early diagnosis and treatment is the key. Studies have found that the changes of cytokines in aqueous humor are helpful for the diagnosis of endophthalmitis. Okhrvai et al. Also pointed out that the application of PCR can reduce the diagnosis time of endophthalmitis. This study mainly verified the use of molecular biology technology to detect the changes of VCAM, ICAM-1 and other cytokines, bacteria, viruses, fungi, Toxoplasma gondii IgG in patients' intraocular fluid, including aqueous humor and vitreous humor, so as to timely judge the etiology and progress of endophthalmitis, and provide reference for diagnosis and treatment.

Acute anterior uveitis (AU) is a common reason for attendance at ophthalmic outpatient clinics. The painfulness and the fear of a transient or even persistent loss of vision may markedly reduce the individual's subjective well-being and pose a psychological burden. This study will test the hypothesis that during an attack of AU the patient experiences a marked reduction in psychological and physical well-being. Prospective, hospital-based epidemiologic study using a patient questionnaire with standardized psychological tests and a pain scale.

To identify biomarkers of common eye diseases based on single-cell sequencing technologies using PBMC samples. These diseases include uveitis, diabetic retinopathy, age-related macular degeneration and polypoid choroidal vasculopathy. Our study may provide new insight into the underlying mechanisms, and reveal novel predictors and intervention targets for the diagnosis, prognosis and treatment of these diseases.

Uveitis is a recurrent inflammation of the eye that can lead to vision loss with various and complicated etiologies. There are many difficulties in uveitis management due to the requirement of long-term monitoring and treatment. This study intends to establish a longitudinal cohort of uveitis patients to colloect multimodal clinical data including visual acuity, intraocular pressure, anterior segment photography, fundus photography, fluoroscopy and other ophthalmic examinations, and final diagnosis in order to use artificial intelligence and deep learning technology to extract ocular features, explore the association with the progression and prognosis of uveitis and finally establish a disease management model for uveitis.

This is a study of visual outcomes in retinal disease that seeks to identify the causes of visual loss. This data will be used to predict which patients are at risk of losing vision and how they can be better treated.