Bull's Eye Maculopathy in Near-Infrared Reflectance as An Early Sign of Hydroxychloroquine Toxicity.
Miguel SantosInês LealTiago Morais-SarmentoSofia Sousa ManoPatrícia JoséSara Vaz-PereiraPublished in: Diagnostics (Basel, Switzerland) (2023)
Hydroxychloroquine (HCQ) ocular toxicity is rare but severe, and progression can occur even after termination of therapy. Case reports have suggested that a bull's eye maculopathy detected by near-infrared reflectance (NIR) may indicate early HCQ toxicity. This retrospective cross-sectional study evaluated patients treated with HCQ who underwent routine screening with optical coherence tomography (OCT), fundus autofluorescence (FAF) and 10-2 perimetry. NIR images captured alongside OCT were subsequently graded independently by 2 masked graders for the presence of bull's eye maculopathy, and the result was compared to the outcome of the screening. A total of 123 participants (246 eyes) were included, and 101 (90%) were female. The patients' mean age was 55.2 ± 13.8 years. The mean time of HCQ usage was 84.0 ± 72.3 months, and the mean weekly dose was 2327 ± 650 mg. Two eyes showed toxicity in all 3 routine screening exams, with one patient suspending HCQ. The prevalence of bull´s eye lesions in NIR was 13% (33 eyes) with substantial intergrader agreement, a 71.3% specificity and 88.0% negative predictive value for HCQ toxicity. We suggest that NIR changes may be a sign of early HCQ toxicity. The detection of NIR bull´s eye lesions may warrant an increased screening frequency.
Keyphrases
- optical coherence tomography
- photodynamic therapy
- diabetic retinopathy
- oxidative stress
- fluorescence imaging
- drug release
- fluorescent probe
- end stage renal disease
- optic nerve
- chronic kidney disease
- case report
- newly diagnosed
- oxide nanoparticles
- deep learning
- risk factors
- peritoneal dialysis
- early onset
- stem cells
- patient reported outcomes
- convolutional neural network
- cell therapy
- loop mediated isothermal amplification
- smoking cessation
- quantum dots
- sensitive detection