Literature DB >> 31987901

Progression of Retinopathy Secondary to Maternally Inherited Diabetes and Deafness - Evaluation of Predicting Parameters.

Philipp L Müller1, Tim Treis2, Maximilian Pfau3, Simona Degli Esposti4, Abdulrahman Alsaedi5, Peter Maloca6, Konstantinos Balaskas4, Andrew Webster7, Catherine Egan7, Adnan Tufail8.   

Abstract

PURPOSE: To investigate the prognostic value of demographic, functional, and imaging parameters on retinal pigment epithelium (RPE) atrophy progression secondary to maternally inherited diabetes and deafness (MIDD) and to evaluate the application of these factors in clinical trial design.
DESIGN: Retrospective observational case series.
METHODS: Thirty-five eyes of 20 patients (age range, 24.9-75.9 years) with genetically proven MIDD and demarcated RPE atrophy on serial fundus autofluorescence (AF) images were included. Lesion size and shape-descriptive parameters were longitudinally determined by 2 independent readers. A linear mixed-effect model was used to predict the lesion enlargement rate based on baseline variables. Sample size calculations were performed to model the power in a simulated interventional study.
RESULTS: The mean follow-up time was 4.27 years. The mean progression rate of RPE atrophy was 2.33 mm2/year, revealing a dependence on baseline lesion size (+0.04 [0.02-0.07] mm2/year/mm2, P < .001), which was absent after square root transformation. The fovea was preserved in the majority of patients during the observation time. In the case of foveal involvement, the loss of visual acuity lagged behind central RPE atrophy in AF images. Sex, age, and number of atrophic foci predicted future progression rates with a cross-validated mean absolute error of 0.13 mm/year and to reduce the required sample size for simulated interventional trials.
CONCLUSIONS: Progressive RPE atrophy could be traced in all eyes using AF imaging. Shape-descriptive factors and patients' baseline characteristics had significant prognostic value, guiding appropriate subject selection and sample size in future interventional trial design.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Year:  2020        PMID: 31987901     DOI: 10.1016/j.ajo.2020.01.013

Source DB:  PubMed          Journal:  Am J Ophthalmol        ISSN: 0002-9394            Impact factor:   5.258


  4 in total

1.  Reliability of Retinal Pathology Quantification in Age-Related Macular Degeneration: Implications for Clinical Trials and Machine Learning Applications.

Authors:  Philipp L Müller; Bart Liefers; Tim Treis; Filipa Gomes Rodrigues; Abraham Olvera-Barrios; Bobby Paul; Narendra Dhingra; Andrew Lotery; Clare Bailey; Paul Taylor; Clarisa I Sánchez; Adnan Tufail
Journal:  Transl Vis Sci Technol       Date:  2021-03-01       Impact factor: 3.283

2.  Characterization of SSBP1-related optic atrophy and foveopathy.

Authors:  Isabelle Meunier; Béatrice Bocquet; Sabine Defoort-Dhellemmes; Vasily Smirnov; Carl Arndt; Marie Christine Picot; Hélène Dollfus; Majida Charif; Isabelle Audo; Hélèna Huguet; Xavier Zanlonghi; Guy Lenaers
Journal:  Sci Rep       Date:  2021-09-21       Impact factor: 4.379

3.  Prediction of Function in ABCA4-Related Retinopathy Using Ensemble Machine Learning.

Authors:  Philipp L Müller; Tim Treis; Alexandru Odainic; Maximilian Pfau; Philipp Herrmann; Adnan Tufail; Frank G Holz
Journal:  J Clin Med       Date:  2020-07-29       Impact factor: 4.241

4.  Retinal Manifestations of Mitochondrial Oxidative Phosphorylation Disorders.

Authors:  Jin Kyun Oh; Jose Ronaldo Lima de Carvalho; Yan Nuzbrokh; Joseph Ryu; Teja Chemudupati; Vinit B Mahajan; Janet R Sparrow; Stephen H Tsang
Journal:  Invest Ophthalmol Vis Sci       Date:  2020-10-01       Impact factor: 4.799

  4 in total

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