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Characteristics and spatial distribution of structural features in age-related macular degeneration: a MACUSTAR study report

  • Marlene Saßmannshausen
  • , Charlotte Behning
  • , Jonas Weinz
  • , Lukas Goerdt
  • , Jan H. Terheyden
  • , Petrus Chang
  • , Matthias Schmid
  • , Stephen H. Poor
  • , Nadia Zakaria
  • , Robert P. Finger
  • , Frank G. Holz
  • , Maximilian Pfau
  • , Steffen Schmitz-Valckenberg
  • , Sarah Thiele*
  • , MACUSTAR Consortium Members
  • , R. Hogg
  • , T. Peto
  • *Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

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Abstract

Purpose
To report the prevalence and topographic distribution of structural characteristics in study participants with age-related macular degeneration (AMD) and controls in the cross-sectional study part of the MACUSTAR study (ClinicalTrials.gov Identifier: NCT03349801).

Design
European, multicenter cohort study.

Subjects
Overall, 301 eyes of 301 subjects with early (n = 34), intermediate (n = 168), and late AMD (n = 43), as well as eyes without any AMD features (n = 56).

Methods
In study eyes with intermediate AMD (iAMD), the presence of structural AMD biomarkers, including pigmentary abnormalities (PAs), pigment epithelium detachment (PED), refractile deposits, reticular pseudodrusen (RPD), hyperreflective foci (HRF), incomplete/complete retinal pigment epithelium (RPE), and outer retinal atrophy (i/cRORA), and quiescent choroidal neovascularization (qCNV) was systematically determined in the prospectively acquired multimodal retinal imaging cross-sectional data set of MACUSTAR. Retinal layer thicknesses and the RPE drusen complex (RPEDC) volume were determined for the total study cohort in spectral-domain (SD) OCT imaging using a deep-learning–based algorithm.

Main Outcome Measures
Prevalence and topographic distribution of structural iAMD features.

Results
A total of 301 study eyes of 301 subjects with a mean (± standard deviation) age of 71.2 ± 7.20 years (63.1% women) were included. Besides large drusen, the most prevalent structural feature in iAMD study eyes were PA (57.1%), followed by HRF (51.8%) and RPD (22.0%). Pigment epithelium detachment lesions were observed in 4.8%, vitelliform lesions in 4.2%, refractile deposits in 3.0%, and qCNV in 2.4%. Direct precursor lesions for manifest retinal atrophy were detected in 10.7% (iRORA) and 4.2% (cRORA) in iAMD eyes. Overall, the highest RPEDC volume with a median of 98.92 × 10−4 mm³ was found in iAMD study eyes. Spatial analysis demonstrated a predominant distribution of RPD in the superior and temporal subfields at a foveal eccentricity of 1.5 to 2 mm, whereas HRF and large drusen had a distinct topographic distribution involving the foveal center.

Conclusions
Detailed knowledge of the prevalence and distribution of structural iAMD biomarkers is vital to identify reliable outcome measure for disease progression. Longitudinal analyses are needed to evaluate their prognostic value for conversion to advanced disease stages.

Original languageEnglish
Pages (from-to)420-430
Number of pages11
JournalOphthalmology Retina
Volume7
Issue number5
DOIs
Publication statusPublished - 03 May 2023

Keywords

  • Age-related macular degeneration
  • Biomarker
  • Intermediate age-related macular degeneration
  • Phenotyping

ASJC Scopus subject areas

  • Ophthalmology

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