Investigative Ophthalmology & Visual Science Cover Image for Volume 61, Issue 7
June 2020
Volume 61, Issue 7
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ARVO Annual Meeting Abstract  |   June 2020
Long term follow-up of Stargardt dystrophy
Author Affiliations & Notes
  • Jana Sajovic
    University Eye Hospital Ljubljana, Slovenia, Ljubljana, Slovenia
  • Marko Hawlina
    University Eye Hospital Ljubljana, Slovenia, Ljubljana, Slovenia
  • Maja Šuštar
    University Eye Hospital Ljubljana, Slovenia, Ljubljana, Slovenia
  • Ana Fakin
    University Eye Hospital Ljubljana, Slovenia, Ljubljana, Slovenia
  • Martina Jarc Vidmar
    University Eye Hospital Ljubljana, Slovenia, Ljubljana, Slovenia
  • Footnotes
    Commercial Relationships   Jana Sajovic, None; Marko Hawlina, None; Maja Šuštar, None; Ana Fakin, None; Martina Jarc Vidmar, None
  • Footnotes
    Support  ARRS P3-0333
Investigative Ophthalmology & Visual Science June 2020, Vol.61, 1049. doi:
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    • Get Citation

      Jana Sajovic, Marko Hawlina, Maja Šuštar, Ana Fakin, Martina Jarc Vidmar; Long term follow-up of Stargardt dystrophy. Invest. Ophthalmol. Vis. Sci. 2020;61(7):1049.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : To investigate the progression rate of patients with Stargardt dystrophy (STGD) in the longitudinal follow-up from 1 to 18 yrs (mean 9.2 yrs).

Methods : 33 patients with STGD aged 8 yrs and older were enrolled (26 F, 7 M; mean age first visit, 24.7 yrs; mean age last visit, 33.9 yrs). Patients were recruited based on typical clinical picture and genetic analysis. Snellen VA, qualitative and quantitative analysis of autofluorescence (AF) images (Heidelberg Engineering, Germany) and electrophysiology (ERG) were done. Areas of definitely decreased autofluorescence (DDAF) and questionably decreased autofluorescence (QDAF) were measured (ImageJ, 1.52r version) in 13 out of 33 patients, and progression rates per year were calculated. Based on electrophysiological abnormalities, patients (28/33) were classified into group 1 with only macular involvement, group 2 with abnormal cone responses and group 3 with abnormal scotopic and photopic responses. Right patients' eyes were taken for analysis.

Results : Mean VA was 0.26±0.29 SD at baseline and 0.11±0.11 SD at the end. Qualitative analysis of AF at baseline and last exam showed: flecks (63.6%;75.7%), flecks beyond the arcades (45.4%;60.6%), increased autofluorescence at DDAF lesion edge (27.3%;27.3%), background heterogeneity (30.3%;48.5%), and peripapillary sparing (94.0%;88.0%), respectively. AF images from a subset of 13 patients (11 F, 2 M; mean age, 31.3 yrs; mean follow-up 8.4 yrs) were further analysed. 12 of 13 patients had DDAF (mean lesion size 1.74 mm2 at baseline), and combined DDAF and QDAF (mean lesion size 4.67 mm2 at baseline). The estimated progression per year was calculated. The mean progression of DDAF was 0.77 mm2 per year, and the total area of DDAF and QDAF was 1.43 mm2 per year. At the beginning of the follow-up, ERG was done in 28 out of 33 patients; 15 were classified only as macular involvement, 7 with abnormal cone responses and 6 with abnormal scotopic and photopic responses. Patients in the last group had a tendency to progress quicker.

Conclusions : Area of DDAF was progressing 0.77 mm2 per year, which is in accordance with larger multicenter studies. A combination of electrophysiology with qualitative and quantitative analysis of AF images is an important tool for better understanding of the clinical presentation and progression of the disease. DDAF and combination of DDAF and QDAF may serve as an outcome measure for future clinical trials.

This is a 2020 ARVO Annual Meeting abstract.

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