研究目的
To investigate phenotype characteristics of fellow eyes in patients with early onset of neovascular age-related macular degeneration (NVAMD).
研究成果
A large number of macular drusen in the fellow eye appeared to be characteristic for early onset of NVAMD, whereas RPE atrophy, HRD, and RPD were more frequently present in AMD patients > 80 years. Prospective trials with patients converting to NVAMD are required to further analyze morphologic characteristics for early versus late development of advanced AMD.
研究不足
The study is limited by its retrospective design and the relatively small number of patients per group. Differences between younger and older patient groups may be a result of aging rather than a result of early or late CNV development.
1:Experimental Design and Method Selection:
Patients with new-onset unilateral NVAMD between 50 and 65 years or >80 years or with nonneovascular AMD were included. Fellow eyes in both CNV groups and the eyes with the more severe AMD staging in the no-CNV group were used to evaluate number and size of macular drusen, extramacular drusen (EMD), pigmentary abnormalities, and retinal pigment epithelium (RPE) atrophy on color photographs and hyperre?ective dots (HRD) and reticular pseudodrusen (RPD) on spectral-domain optical coherence tomography (SDOCT) scans. Regression analysis was used to compare groups.
2:Sample Selection and Data Sources:
The clinical database of the Department of Ophthalmology at the University of Cologne was screened for patients older than 50 years with neovascular AMD.
3:List of Experimental Equipment and Materials:
Fundus photographs were performed using the Canon Uvi fundus camera. Fluorescein angiography and SDOCT volume scans were performed using the Spectralis HRA and SDOCT.
4:Experimental Procedures and Operational Workflow:
Images were analyzed by two senior graders of the Cologne Image Reading Center (CIRCL) according to the CIRCL standard grading protocol.
5:Data Analysis Methods:
Statistical analysis was performed using SPSS software version 21.0. Binary-coded logistic regression was used to examine associations between patient groups and grading features.
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