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Association Between Quantitative and Qualitative Imaging Biomarkers and Geographic Atrophy Growth Rate - 17/07/24

Doi : 10.1016/j.ajo.2024.03.023 
Talisa E. de Carlo Forest , Zafar Gill, Andres Lisker-Cervantes, Ramya Gnanaraj, Nathan Grove, Jennifer L. Patnaik, Anne M. Lynch, Alan G. Palestine, Marc Mathias, Niranjan Manoharan, Naresh Mandava
 From the Sue Anschutz-Rodgers Eye Center, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA 

Inquiries to Talisa E. de Carlo Forest, Department of Ophthalmology, University of Colorado School of Medicine, Aurora, Colorado, USADepartment of OphthalmologyUniversity of Colorado School of MedicineAuroraColoradoUSA

Highlights

GA growth rate is positively associated with older age, female sex, and low BMI.
GA growth rate is positively associated with non-exudative SRF and SHRM, and iRORA.
GA growth rate is negatively associated with retinal pseudocysts.
GA growth rate is negatively associated with subfoveal choroid thickness.

El texto completo de este artículo está disponible en PDF.

Resumen

Purpose

Investigate associations between geographic atrophy (GA) growth rate and multimodal imaging biomarkers and patient demographics in patients with advanced non-neovascular age-related macular degeneration (nnAMD).

Design

Prospective cohort study.

Methods

One hundred twenty-one eyes of 66 patients with advanced nnAMD with GA enrolled in the University of Colorado AMD Registry from August 2014 to June 2021, with follow-up through June 2023. Multimodal images were reviewed by two graders for imaging biomarkers at enrollment. GA growth rate and square-root transformed (SQRT) GA growth rate were measured between enrollment and final visit. Associations between the outcome SQRT GA growth rate and imaging biomarkers, baseline GA lesions characteristics, and patient demographics were evaluated.

Results

Average GA growth rate was 1.430 mm2/year and SQRT GA growth rate was 0.268 mm/year over a mean of 3.7 years. SQRT GA growth rate was positively associated with patient age (P = .010) and female sex (0.035), and negatively associated with body mass index (0.041). After adjustment for these demographic factors, SQRT GA growth rate was positively associated with presence of non-exudative subretinal fluid (P < .001), non-exudative subretinal hyperreflective material (P = .037), and incomplete retinal pigment epithelium and outer retina atrophy (P = .022), and negatively associated with subfoveal choroidal thickness (P = .031) and presence of retinal pseudocysts (P = .030). Larger baseline GA size at enrollment was associated with faster GA growth rate (P = .002) but not SQRT GA growth rate.

Conclusions

Select patient demographic factors and basic clinically-relevant imaging biomarkers were associated with GA growth rate. These biomarkers may guide patient selection when considering treating GA patients with novel therapeutics.

El texto completo de este artículo está disponible en PDF.

Esquema


 Supplemental Material available at AJO.com.


© 2024  Elsevier Inc. Reservados todos los derechos.
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Vol 264

P. 168-177 - août 2024 Regresar al número
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