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Active clinical trials for "Cytomegalovirus Retinitis"

Results 61-63 of 63

Efficacy of Elevated CD4 Counts on CMV Retinitis

Acquired Immunodeficiency SyndromeCytomegalovirus Retinitis

Some patients with HIV/AIDS suffer from a dangerous viral infection of the retina (and other organs) called cytomegalovirus infection (CMV). The medications currently used to treat CMV all have serious side effects. AIDS patients are prone to this infection because their immune system produces a lower number of CD4+T lymphocytes, the type of blood cells that fight viral infections. Some new HIV medications strengthen the immune system. This study will investigate the possibility that CMV patients on these HIV medications can develop immune systems strong enough to fight CMV without CMV medication. The study will enroll a maximum of 15 adult HIV/AIDS patients who have a CD4+T cell count over 150 cells/microliter and who have inactive CMV retinitis that is not immediately sight threatening. It is expected to last approximately 2 years. Each prospective participant will have a physical examination and complete eye examination, including retina photographs, with the eye examination and retina photographs repeated 2 weeks later. If there is no evidence of active CMV retinitis, the participant will be enrolled in the study, and CMV medication will be stopped. The participant will have physical and eye examinations every 2 weeks for the first 3 months of the study, and every 3 weeks for the next 3 months. After 6 months, the frequency of the examinations will be 2-8 weeks, depending on the participant's CD4 count. After one year, a participant with a CD4 count remaining over 150 cells/microliter may return to the care of a local ophthalmologist with HIV/CMV experience, revisiting the clinical center every 6 months. The participant's CMV medication will be restarted when CMV retinitis becomes active, which will terminate participation in the study.

Completed22 enrollment criteria

Deep Learning-based System and AIDS-related Cytomegalovirus Retinitis

Cytomegalovirus Retinitis

Ophthalmological screening for cytomegalovirus retinitis (CMVR) for HIV/AIDS patients is important. However, the manual screening with fundus imaging is laborious and subjective. Deep learning (DL) system has been developed for the automated detection of various eye diseases with high accuracy and efficiency, including diabetic retinopathy, glaucoma, age-related macular degeneration (AMD), papilledema, lattice degeneration and retinal breaks, from ocular fundus photographs. UWF imaging is a relatively new imaging modality for DL system but has also shown extraordinary talents in automatic retinal analysis With the press for routine CMVR screening in AIDS patients and the great capacity of DL system, the use of deep learning (DL) system to AIDS-related CMVR with Ultra-Widefield (UWF) fundus images is promising. The investigators previously developed a DL system to detect AIDS-related CMVR. For further evaluating the applicability of the DL system, a prospective dataset is needed.

Completed3 enrollment criteria

A Comparison of HIV-Infected Patients With and Without Opportunistic (AIDS-Related) Infection

Cytomegalovirus InfectionsCytomegalovirus Retinitis3 more

The purpose of this study is to understand how changes in the immune system of HIV-infected patients affect their risk for 3 serious infections: Pneumocystis carinii pneumonia (PCP), cytomegalovirus (CMV) retinitis, or CMV organ disease. The purpose also is to understand how anti-HIV medicines may improve the immune system in these patients. (This purpose reflects a change in the AIDS-related [opportunistic] infections studied.) Presently, HIV-infected patients who have had PCP or CMV disease stay on lifelong therapy to prevent the return of the disease. This study is trying to see if a special lab test can help identify which patients can stop this preventive therapy without having another episode of PCP or CMV organ disease. (This rationale reflects a change in the AIDS-related infections studied.)

Completed39 enrollment criteria
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