- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06839443
Deep Learning in the Detection and Prediction of Hydroxychloroquine Maculopathy (PLAQUINAI)
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
HCQ is one of the most prescribed drugs worldwide. Originally developed for the treatment and prevention of malaria, it was soon proven effective for several other non-related disorders, most commonly non-organ specific autoimmune diseases. The use of HCQ in patients with systemic lupus erythematosus (SLE), for example, is estimated at 50%, increasing to 90% in specialized centers. These numbers are likely to increase following the LUMINA study that found a survival benefit of SLE patients on HCQ. In recent years, HCQ indications have been expanding to other medical areas such as dermatological disorders and oncology. Adding to the growing list of clinical indications, there are other factors that increase HCQ prescription such as a favourable safety profile and the possibility of adjunctive use with primary therapies, leading to a growing confidence amongst physicians to start treatment.
But HCQ is not an innocuous drug. There are several HCQ related adverse effects, either from acute or chronic intake, in particular in the nervous and cardiovascular system. It is estimated that around 1.8-7.5% of patients with more than 5 years of HCQ therapy suffer from retinal toxicity, with prevalence increasing to 20% after 20 years. Other known risk factors for toxicity are a higher dose, kidney failure and concomitant tamoxifen use and it has been suggested that previous macular pathology and genetic factors should be taken in account when calculating disease probability. Due to increase in HCQ usage, HCQ maculopathy and subsequent screening has become a public health problem. Although toxicity is directly related to drug use, retinal degeneration might continue despite drug cessation, which adding to the increase of users empathises the need for early disease detection. HCQ maculopathy screening guidelines differ slightly from country to country and have been evolving over time. The American Academy of Ophthalmology recommends baseline examination with OCT, autofluorescence and visual fields with annual review after 5 years unless there are other risk factors. On the other hand, the Royal College of Ophthalmology currently suggests annual monitoring 5 years after drug therapy with OCT and Widefield FAF unless there are other risk factors.
Deep learning techniques are paving the way in image-centric specialities and promise to lower healthcare costs and increase accuracy when compared to current methods. In ophthalmology, systems are being developed for the detection of diabetic retinopathy, glaucoma and age-related macular degeneration with high sensitivity and sensibility. We believe that using RETINAI technology and a sequential analysis of HCQ toxicity patients, a higher prediction model could be achieved. Three blinded readers will validate data as controls or toxicity.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Rita Anjos, MD
- Phone Number: +351 914535963
- Email: RITA.Anjos@gmail.com
Study Contact Backup
- Name: Ana Luisa Basílio, MD
- Phone Number: +351 96557040
- Email: a.luisabasilio@gmail.com
Study Locations
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-
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Portugal, Portugal, 1150-199
- Recruiting
- Local de Saúde São José
-
Contact:
- Rita Anjos, MD
- Phone Number: +351 914535963
- Email: RITA.Anjos@gmail.com
-
Contact:
- Ana Luisa Basílio, MD
- Phone Number: +351 96557040
- Email: a.luisabasilio@gmail.com
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Patients with > 10 years of HCQ intake
Exclusion Criteria:
- Patients with ocular diseases that might mimic HCQ maculopathy or interfer with HCQ maculopathy screening
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
Retinopathy group
Patients with HCQ intake with retinopathy
|
OCT scans and Retinai algorithm will be performed
|
|
Control group
Patients with HCQ intake without retinopathy
|
OCT scans and Retinai algorithm will be performed
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
To develop an automated screening method in hydroxychloroquine (HCQ) screening based on OCT features
Time Frame: One year
|
We hypothesize that HCQ toxicity can be detected with a deep learning system with OCT
|
One year
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
To explore early changes of toxicity in HCQ-user patients using deep learning
Time Frame: One year
|
We hypothesize that deep learning in OCT might provide an accurate tool for the early detection of HCQ toxicity
|
One year
|
Collaborators and Investigators
Investigators
- Study Chair: Rita Anjos, MD, ULS São José
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- CHULC.CI.638.2025
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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