Karger Publishers
Browse
OPH507196_sm01.docx (36.04 kB)

Supplementary Material for: Major Predictive Factors for Progression of Early to Late Age-Related Macular Degeneration

Download (36.04 kB)
dataset
posted on 2020-06-15, 07:27 authored by Sitnilska V., Kersten E., Altay L., Schick T., Enders P., deJong E.K., Langmann T., Hoyng C.B., denHollander A.I., Fauser S.
Introduction: We present a prediction model for progression from early/intermediate to advanced age-related macular degeneration (AMD) within 5.9 years. Objectives: To evaluate the combined role of genetic, nongenetic, and phenotypic risk factors for conversion from early to late AMD over ≥5 years. Methods: Baseline phenotypic characteristics were evaluated based on color fundus photography, spectral-domain optical coherence tomography, and infrared images. Genotyping for 36 single-nucleotide polymorphisms as well as systemic lipid and complement measurements were performed. Multivariable backward logistic regression resulted in a final prediction model. Results and Conclusions: During a mean of 5.9 years of follow-up, 22.4% (n = 52) of the patients (n = 232) showed progression to late AMD. The multivariable prediction model included age, CFH variant rs1061170, pigment abnormalities, drusenoid pigment epithelial detachment (DPED), and hyperreflective foci (HRF). The model showed an area under the curve of 0.969 (95% confidence interval 0.948–0.990) and adequate calibration (Hosmer-Lemeshow test, p = 0.797). In addition to advanced age and carrying a CFH variant, pigment abnormalities, DPED, and HRF are relevant imaging biomarkers for conversion to late AMD. In clinical routine, an intensified monitoring of patients with a high-risk phenotypic profile may be suitable for the early detection of conversion to late AMD.

History

Usage metrics

    Ophthalmologica

    Categories

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC