Predictors of uveitic macular edema and functional prognostic outcomes: real-life data from the international AIDA Network uveitis registry

Predictors of uveitic macular edema and functional prognostic outcomes: real-life data from the international AIDA Network uveitis registry

ObjectivesTo detect factors capable of predicting the development of macular edema (ME) throughout the disease course in patients affected by non-infectious uveitis (NIU).MethodsPredictive factors leading to the development of ME were analyzed through regression analysis. The functional impact of ME...

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Main Authors: Jurgen Sota, Germán Mejía-Salgado, Silvana Guerriero, Gaafar Ragab, Stefania Costi, Maria Pia Paroli, Andrea Hinojosa-Azaola, Giuseppe Lopalco, Luciana Breda, Henrique Ayres Mayrink Giardini, Alex Fonollosa, Maria Sole Chimenti, Antonio Vitale, Carla Gaggiano, Blanca Aguilar-Barrera, Laura Daniela Rodríguez-Camelo, Guillermo Arturo Guaracha-Basañez, Mohamed Tharwat Hegazy, Rosanna Dammacco, Valeria Albano, Eduardo Martín-Nares, Santiago Espinosa-Lugo, Mahmoud Ghanema, Maria Morrone, Saverio La Bella, Rafael Alves Cordeiro, Francesco Carubbi, Alessandro Conforti, Piero Ruscitti, Ibrahim AlMaglouth, Rosaria Talarico, Stefano Gentileschi, Petros P. Sfikakis, Valeria Caggiano, Matteo Piga, Adele Civino, Francesca Ricci, Maissa Thabet, Marcello Govoni, Abdurrahman Tufan, Francesca Crisafulli, Jessica Sbalchiero, Sulaiman M. Al-Mayouf, Angela Mauro, Soad Hashad, Francesca Minoia, Alma Nunzia Olivieri, Samar Tharwat, Maria Cristina Maggio, Abdelhfeez Moshrif, Gian Domenico Sebastiani, Daniela Opris-Belinski, Gülen Hatemi, Haner Direskeneli, Fatma Alibaz-Öner, Lampros Fotis, José Hernández-Rodríguez, Giovanni Conti, Piercarlo Sarzi Puttini, Ombretta Viapiana, Annarita Giardina, Patrizia Barone, Kalpana Babu, Rana Hussein Amin, Perla Ayumi Kawakami-Campos, Vishali Gupta, Annamaria Iagnocco, Ali Şahin, Antonella Insalaco, Andrés González-García, Ezgi Deniz Batu, Ester Carreño, Emanuela Del Giudice, Cecilia Beatrice Chighizola, Fabrizio Conti, Alberto Balistreri, Bruno Frediani, Luca Cantarini, Alejandra de-la-Torre, Claudia Fabiani
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Medicine
Subjects:
uveitis
macular edema
visual acuity
registries
retinal vasculitis
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2025.1609613/full
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Summary:ObjectivesTo detect factors capable of predicting the development of macular edema (ME) throughout the disease course in patients affected by non-infectious uveitis (NIU).MethodsPredictive factors leading to the development of ME were analyzed through regression analysis. The functional impact of ME on best corrected visual acuity (BCVA) was also examined.ResultsA total of 1,160 NIU patients (1,857 eyes) were analyzed. ME was observed in 148 (12.76%), affecting 211 eyes. It was significantly more frequent in patients with non-anterior NIU (p < 0.0001, RR = 4.01), retinal vasculitis (p < 0.0001), and other structural complications (p = 0.0005). Gender, HLA-B*27 and/or HLA-B*51 positivity, and ethnicity did not show any significant impact on the prevalence of ME (p = 0.635, p = 0.372, p = 0.193, respectively). Four variables were associated with ME development during NIU course: the non–anterior anatomical pattern (p < 0.0001, OR = 4.01), the presence of retinal vasculitis (p = 0.028, OR = 1.68), complications other than ME (p = 0.044, OR = 1.51) and immunosuppressive treatment (p = 0.010, OR 1.69) while the diagnosis of Behçet disease-related uveitis was less likely to be associated with ME development (p = 0.24, OR 0.545). Mean ± SD BCVA was significantly lower in eyes with ME (0.82 ± 0.30) compared to eyes without ME (0.71 ± 0.33).ConclusionME can develop across all NIU types, but is more likely in cases involving the posterior segment and retinal vasculitis. Regular and focused monitoring is recommended for these high-risk patients. The study also highlights the limited predictive value of demographic and HLA-related factors, helping refine clinical risk stratification and predictive modeling in NIU.
ISSN:2296-858X

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