Predictors of stoppage and recurrence of choroidal neovascularization with a Treat- Extend-Stop protocol: 4-year follow-up.

Abstract

OBJECTIVE:

To analyze the long-term results of treatment of active age-related macular degeneration (AMD) with anti-vascular endothelial growth factor (VEGF) agents using the treat-extend-stop (TES) approach, defining predictive factors for stoppage of the treatment and recurrences in a real-world setting.

METHODS:

Data from 191 eyes treated with intravitreal injections for choroidal neovascularization due to AMD were retrospectively reviewed. Changes in best-corrected visual acuity (BCVA) and membrane activity (optical coherence tomography) were recorded and evaluated over a 48-month follow-up. Logistic regression analysis was used to determine predictors of treatment stoppage and recurrences after stoppage.

RESULTS:

BCVA improvement was found in 70.5% of eyes at 48 months, and remaining signs of activity in 27.9%. Disease inactivity was achieved in 69 eyes (31.9%), with a relapse of the membrane in 29 of these eyes (42.0%). Significant independent predictors of treatment stoppage were found: no foveal membrane, inactive membrane at 12, 24, 36 and 48 months, extension interval>8 weeks at 12 and 24 months,>15 injections at 24 months, and baseline BCVA>61 letters. Concerning recurrent membranes, only the presence of membrane activity at 36 months and baseline BCVA>61 letters were independent predictors.

CONCLUSIONS:

Anti-VEGF treatment of AMD using the TES protocol allows for successful visual restoration in most patients, with more likely disease inactivity in those eyes with better baseline BCVA, maintaining signs of membrane inactivity during the first two years of follow-up and requiring fewer injections.

• Authors: G Garay-Aramburu, D Rodriguez-Feijoo, M Aldazabal-Echeveste, Z Del Barrio, A Eiras-Fernández, D P Piñero, A Larrauri-Arana
• Journal: Journal francais d'ophtalmologie (J Fr Ophtalmol) Vol. 46 Issue 10 Pg. 1204-1211 (Dec 2023) ISSN: 1773-0597 [Electronic] France
• PMID: 37658033 (Publication Type: Journal Article)
• Copyright: Copyright © 2023 Elsevier Masson SAS. All rights reserved.