Literature DB >> 27699414

Progression of Late-Onset Stargardt Disease.

Stanley Lambertus1, Moritz Lindner2, Nathalie M Bax1, Matthias M Mauschitz2, Jennifer Nadal3, Matthias Schmid3, Steffen Schmitz-Valckenberg2, Anneke I den Hollander4, Bernhard H F Weber5, Frank G Holz2, Gert Jan van der Wilt6, Monika Fleckenstein2, Carel B Hoyng1.   

Abstract

PURPOSE: Identification of sensitive biomarkers is essential to determine potential effects of emerging therapeutic trials for Stargardt disease. This study aimed to describe the natural history of late-onset Stargardt, and demonstrates the accuracy of retinal pigment epithelium (RPE) atrophy progression as an outcome measure.
METHODS: We performed a retrospective cohort study collecting multicenter data from 47 patients (91 eyes) with late-onset Stargardt, defined by clinical phenotype, at least one ABCA4 mutation, and age at disease onset ≥ 45 years. We analyzed RPE atrophy progression on fundus autofluorescence and near-infrared reflectance imaging using semiautomated software and a linear mixed model. We performed sample size calculations to assess the power in a simulated 2-year interventional study and assessed visual endpoints using time-to-event analysis.
RESULTS: Over time, progression of RPE atrophy was observed (mean: 0.22 mm/year, 95% confidence interval [CI]: 0.19-0.27). By including only patients with bilateral RPE atrophy in a future trial, 32 patients are needed to reach a power of 83.9% (95% CI: 83.1-84.6), assuming a fixed therapeutic effect size of 30%. We found a median interval between disease onset and visual acuity decline to 20/32, 20/80, and 20/200 of 2.74 (95% CI: 0.54-4.41), 10.15 (95% CI: 6.13-11.38), and 11.38 (95% CI: 6.13-13.34) years, respectively.
CONCLUSIONS: We show that RPE atrophy represents a robust biomarker to monitor disease progression in future therapeutic trials. In contrast, the variability in terms of the course of visual acuity was high.

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Year:  2016        PMID: 27699414     DOI: 10.1167/iovs.16-19833

Source DB:  PubMed          Journal:  Invest Ophthalmol Vis Sci        ISSN: 0146-0404            Impact factor:   4.799


  13 in total

Review 1.  Clinical spectrum, genetic complexity and therapeutic approaches for retinal disease caused by ABCA4 mutations.

Authors:  Frans P M Cremers; Winston Lee; Rob W J Collin; Rando Allikmets
Journal:  Prog Retin Eye Res       Date:  2020-04-09       Impact factor: 21.198

2.  Personalized genetic counseling for Stargardt disease: Offspring risk estimates based on variant severity.

Authors:  Stéphanie S Cornelis; Esmee H Runhart; Miriam Bauwens; Zelia Corradi; Elfride De Baere; Susanne Roosing; Lonneke Haer-Wigman; Claire-Marie Dhaenens; Anneke T Vulto-van Silfhout; Frans P M Cremers
Journal:  Am J Hum Genet       Date:  2022-02-03       Impact factor: 11.043

3.  CLINICAL CHARACTERIZATION OF STARGARDT DISEASE PATIENTS WITH THE p.N1868I ABCA4 MUTATION.

Authors:  Frederick T Collison; Winston Lee; Gerald A Fishman; Jason C Park; Jana Zernant; J Jason McAnany; Rando Allikmets
Journal:  Retina       Date:  2019-12       Impact factor: 4.256

4.  Functional analysis and classification of homozygous and hypomorphic ABCA4 variants associated with Stargardt macular degeneration.

Authors:  Susan B Curtis; Laurie L Molday; Fabian A Garces; Robert S Molday
Journal:  Hum Mutat       Date:  2020-09-09       Impact factor: 4.878

5.  Antisense Oligonucleotide-Based Rescue of Aberrant Splicing Defects Caused by 15 Pathogenic Variants in ABCA4.

Authors:  Tomasz Z Tomkiewicz; Nuria Suárez-Herrera; Frans P M Cremers; Rob W J Collin; Alejandro Garanto
Journal:  Int J Mol Sci       Date:  2021-04-28       Impact factor: 5.923

6.  Comparison of Green Versus Blue Fundus Autofluorescence in ABCA4-Related Retinopathy.

Authors:  Philipp L Müller; Maximilian Pfau; Matthias M Mauschitz; Philipp T Möller; Johannes Birtel; Petrus Chang; Martin Gliem; Steffen Schmitz-Valckenberg; Monika Fleckenstein; Frank G Holz; Philipp Herrmann
Journal:  Transl Vis Sci Technol       Date:  2018-10-01       Impact factor: 3.283

7.  Prospective Cohort Study of Childhood-Onset Stargardt Disease: Fundus Autofluorescence Imaging, Progression, Comparison with Adult-Onset Disease, and Disease Symmetry.

Authors:  Michalis Georgiou; Thomas Kane; Preena Tanna; Zaina Bouzia; Navjit Singh; Angelos Kalitzeos; Rupert W Strauss; Kaoru Fujinami; Michel Michaelides
Journal:  Am J Ophthalmol       Date:  2019-12-06       Impact factor: 5.258

8.  Genotypes Predispose Phenotypes-Clinical Features and Genetic Spectrum of ABCA4-Associated Retinal Dystrophies.

Authors:  Yu-Chi Sung; Chang-Hao Yang; Chung-May Yang; Chao-Wen Lin; Ding-Siang Huang; Yu-Shu Huang; Fung-Rong Hu; Pei-Lung Chen; Ta-Ching Chen
Journal:  Genes (Basel)       Date:  2020-11-27       Impact factor: 4.096

9.  Comparing Fluorescence Lifetime Imaging Ophthalmoscopy in Atrophic Areas of Retinal Diseases.

Authors:  Lukas Goerdt; Lydia Sauer; Alexandra S Vitale; Natalie K Modersitzki; Monika Fleckenstein; Paul S Bernstein
Journal:  Transl Vis Sci Technol       Date:  2021-06-01       Impact factor: 3.283

10.  Systemic complement activation levels in Stargardt disease.

Authors:  Patty P A Dhooge; Esmee H Runhart; Catherina H Z Li; Corrie M de Kat Angelino; Carel B Hoyng; Renate G van der Molen; Anneke I den Hollander
Journal:  PLoS One       Date:  2021-06-25       Impact factor: 3.240

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