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Using AI to detect and predict eye damage from hydroxychloroquine

Artificial intelligence in the detection and prediction of hydroxychloroquine maculopathy

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ISRCTN
Registry ID
ISRCTN11308648
Enrollment
100
Registered
2025-02-20
Start date
2024-08-01
Completion date
Unknown
Last updated
2025-03-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Hydroxychloroquine maculopathy Eye Diseases

Interventions

Patients on long-term hydroxychloroquine (HCQ) therapy will have an optical coherence tomography (OCT) examination. Controls (no HCQ maculopathy) and toxicity (HCQ maculopathy) will be selected. OCT s

Sponsors

Centro Hospitalar de Lisboa Central
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Case group: Patients with diagnosis of HCQ or Chloroquine toxicity Control group: Patients with > 10 years of HCQ intake

Exclusion criteria

Exclusion criteria: Patients with ocular diseases that may mimic HCQ maculopathy or interfere with its screening

Design outcomes

Primary

MeasureTime frame
Age, sex, weight, total cumulative HCQ/CHLOROQUINE dose; daily HCQ/CHLOROQUINE dose, time of HCQ/CHLOROQUINE use, baseline disease for HCQ/CHLOROQUINE , Other systemic diseases, Steroid use and dose, immunosuppressant, other medications and dose, ocular disease, ocular medication collected from patients notes as well as interviews during normal consultations

Secondary

MeasureTime frame
There are no secondary outcome measures

Countries

Portugal

Contacts

Public ContactRita Anjos
Rita.anjos@ulssjose.min-saude.pt+351 935619454

Outcome results

None listed

Source: ISRCTN (via WHO ICTRP) · Data processed: Feb 4, 2026