LONGITUDINAL CHANGES IN QUANTITATIVE AUTOFLUORESCENCE DURING PROGRESSION FROM INTERMEDIATE TO LATE AGE-RELATED MACULAR DEGENERATION.
Journal
Retina (Philadelphia, Pa.)
ISSN: 1539-2864
Titre abrégé: Retina
Pays: United States
ID NLM: 8309919
Informations de publication
Date de publication:
01 Jun 2021
01 Jun 2021
Historique:
pubmed:
22
10
2020
medline:
15
12
2021
entrez:
21
10
2020
Statut:
ppublish
Résumé
To prospectively investigate the development of quantitative autofluorescence (qAF) during progression from intermediate to late age-related macular degeneration (AMD). Quantitative autofluorescence images from patients with intermediate AMD were acquired every three months with a Spectralis HRA + OCT (Heidelberg Engineering, Heidelberg, Germany) using a built-in autofluorescence reference. The association between changes in longitudinal qAF and progression toward late AMD was assessed using Cox regression models with time-dependent covariates. One hundred and twenty-one eyes of 71 patients were included, and 653 qAF images were acquired. Twenty-one eyes of 17 patients converted to late AMD (median follow-up: 21 months; 12 eyes: atrophic AMD; nine eyes: neovascular AMD). The converting patients' mean age was 74.6 ± 4.4 years. Eleven eyes in the converting group (52.4%) were pseudophakic. The presence of an intraocular lens did not affect the qAF regression slopes (P > 0.05). The median change for atrophic AMD was -2.34 qAF units/3 months and 0.78 qAF units/3 months for neovascular AMD. A stronger decline in qAF was significantly associated with an increased risk of developing atrophic AMD (hazard ratio = 1.022, P < 0.001). This association, however, was not present in the group progressing toward neovascular AMD (hazard ratio = 1.001, P = 0.875). The qAF signal declines with progression to atrophy, contrary to developing neovascularization. Quantitative autofluorescence may allow identification of patients at risk of progressing to late AMD and benefits individualized patient care in intermediate AMD.
Identifiants
pubmed: 33084296
pii: 00006982-202106000-00012
doi: 10.1097/IAE.0000000000002995
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1236-1241Références
Klein R, Klein BE, Linton KL. Prevalence of age-related maculopathy: the beaver dam eye study. Ophthalmol 1992;99:933–943.
Ferris FL, Wilkinson CP, Bird A, et al. Clinical classification of age-related macular degeneration. Ophthalmol 2013;120:844–851.
Spaide RF. Improving the age-related macular degeneration construct a new classi fi cation system. Retina 2017;5:1–9.
Smith W, Assink J, Klein R, et al. Risk factors for age-related macular degeneration: pooled findings from three continents. Ophthalmol 2001;108:697–704.
Joachim N, Mitchell P, Burlutsky G, Kifley A, Wang JJ. The incidence and progression of age-related macular degeneration over 15 years: the blue mountains eye study. Ophthalmol 2015;122:2482–2489.
Schmidt-Erfurth U, Waldstein SM, Klimscha S, et al. Prediction of individual disease conversion in early AMD using artificial intelligence. Invest Ophthalmol Vis Sci 2018;59:3199–3208.
Bogunovic H, Montuoro A, Baratsits M, et al. Machine learning of the progression of intermediate age-related macular degeneration based on OCT imaging. Invest Ophthalmol Vis Sci 2017;58:BIO141–BIO150.
Feeney L. Lipofuscin and melanin of human retinal pigment epithelium. Fluorescence, enzyme cytochemical, and ultrastructural studies. Invest Ophthalmol Vis Sci 1978;17:583–600.
Pollreisz A, Messinger JD, Sloan KR, et al. Visualizing melanosomes, lipofuscin, and melanolipofuscin in human retinal pigment epithelium using serial block face scanning electron microscopy. Exp Eye Res 2017;166:131–139.
von Rückmann A, Fitzke FW, Bird AC. Fundus autofluorescence in age-related macular disease imaged with a laser scanning ophthalmoscope. Invest Ophthalmol Vis Sci 1997;38:478–486.
Delori FC, Goger DG, Dorey CK. Age-related accumulation and spatial distribution of lipofuscin in RPE of normal subjects. Invest Ophthalmol Vis Sci 2001;42:1855–1866.
Ach T, Tolstik E, Messinger JD, et al. Lipofuscin redistribution and loss accompanied by cytoskeletal stress in retinal pigment epithelium of eyes with age-related macular degeneration. Invest Ophthalmol Vis Sci 2015;56:3242–3252.
Delori F, Greenberg JP, Woods RL, et al. Quantitative measurements of autofluorescence with the scanning laser ophthalmoscope. Invest Ophthalmol Vis Sci 2011;52:9379.
Gliem M, Müller PL, Finger RP, et al. Quantitative fundus autofluorescence in early and intermediate age-related macular degeneration. JAMA Ophthalmol 2016;134:817–824.
Orellana-Rios J, Yokoyama S, Agee JM, et al. Quantitative fundus autofluorescence in non-neovascular age-related macular degeneration. Ophthalmic Surg Lasers Imaging Retina 2018;49:S34–S42.
Gambril JA, Sloan KR, Swain TA, et al. Quantifying retinal pigment epithelium dysmorphia and loss of histologic autofluorescence in age-related macular degeneration. Invest Ophthalmol Vis Sci 2019;60:2481.
Reiter GS, Told R, Baratsits M, et al. Repeatability and reliability of quantitative fundus autofluorescence imaging in patients with early and intermediate age‐related macular degeneration. Acta Ophthalmol 2019;97:e526–e532.
Greenberg JP, Duncker T, Woods RL, et al. Quantitative fundus autofluorescence in healthy eyes. Invest Ophthalmol Vis Sci 2013;54:5684–5693.
Sadda SR, Guymer R, Holz FG, et al. Consensus definition for atrophy associated with age-related macular degeneration on OCT: classification of atrophy report 3. Ophthalmol 2018;125:537–548.
Chylack LT, Wolfe JK, Singer DM, et al. The lens opacities classification system III. Arch Ophthalmol 1993;111:831.
Van De Kraats J, Van Norren D. Optical density of the aging human ocular media in the visible and the UV. J Opt Soc Am A Opt Image Sci Vis 2007;24:1842–1857.
Reiter GS, Told R, Schlanitz FG, et al. Impact of drusen volume on quantitative fundus autofluorescence in early and intermediate age-related macular degeneration. Invest Ophthalmol Vis Sci 2019;60:1937–1942.
Armenti ST, Greenberg JP, Smith RT. Quantitative fundus autofluorescence for the evaluation of retinal diseases. J Vis Exp 2016;109:e53577.
Ach T, Huisingh C, McGwin G, et al. Quantitative autofluorescence and cell density maps of the human retinal pigment epithelium. Invest Ophthalmol Vis Sci 2014;55:4832–4841.
Ablonczy Z, Higbee D, Anderson DM, et al. Lack of correlation between the spatial distribution of A2E and lipofuscin fluorescence in the human retinal pigment epithelium. Invest Ophthalmol Vis Sci 2013;54:5535–5542.
Kim HJ, Sparrow JR. Novel bisretinoids of human retina are lyso alkyl ether glycerophosphoethanolamine-bearing A2PE species. J Lipid Res 2018;59:1620–1629.
Schlanitz F, Baumann B, Sacu S, et al. Impact of drusen and drusenoid retinal pigment epithelium elevation size and structure on the integrity of the retinal pigment epithelium layer. Br J Ophthalmol 2018;103:227–232.
Rudolf M, Vogt SD, Curcio CA, et al. Histologic basis of variations in retinal pigment epithelium autofluorescence in eyes with geographic atrophy. Ophthalmol 2013;120:821–828.
Reiter GS, Told R, Baumann L, et al. Investigating a growth prediction model IN advanced age-related macular degeneration with solitary geographic atrophy using quantitative autofluorescence. Retina 2019;40:1657–1664.
Schmidt-Erfurth U, Bogunovic H, Grechenig C, et al. Role of deep learning quantified hyperreflective foci for the prediction of geographic atrophy progression. Am J Ophthalmol 2020;216:257–270.