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Hyperreflective foci as biomarkers for inflammation in diabetic macular edema: Retrospective analysis of treatment naïve eyes from south India

PURPOSE: The aim of this study was to analyze the factors associated with hyperreflective foci (HRF) in diabetic macular edema (DME) in treatment naïve eyes. METHODS: This retrospective observational study included 131 eyes of 91 treatment naïve patients with DME. Details of ophthalmological examina...

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Detalles Bibliográficos
Autores principales: Arthi, M, Sindal, Manavi D, Rashmita, R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8186614/
https://www.ncbi.nlm.nih.gov/pubmed/33913858
http://dx.doi.org/10.4103/ijo.IJO_2627_20
Descripción
Sumario:PURPOSE: The aim of this study was to analyze the factors associated with hyperreflective foci (HRF) in diabetic macular edema (DME) in treatment naïve eyes. METHODS: This retrospective observational study included 131 eyes of 91 treatment naïve patients with DME. Details of ophthalmological examination with duration of vision loss and systemic parameters were noted. The spectral-domain optical coherence tomography (SD-OCT) images were analyzed for number and location of HRF and the associated imaging biomarkers. RESULTS: Inner retinal (IR) HRF were seen in 88 eyes (67%), outer retinal (OR) in 28 (21%), and subretinal (SR) in 12 (9%). The IR had (7.1 ± 7) HRF, the OR (6.5 ± 4.8), and SR (3.9 ± 2.9). A greater proportion of eyes with HRF also had subretinal fluid (SRF), significantly higher blood pressure and lower serum triglycerides. Univariate linear regression analysis showed women (3 HRF greater vs. men, P = 0.04), eyes with cystoid spaces (2.95 more HRF vs. no cystoid spaces, P = 0.02), and SRF (2.96 more HRF vs. no SRF, P = 0.007) had more HRF, whereas higher triglycerides (1 HRF lesser per 50 mg lower TGL, P = 0.03) had lesser. CONCLUSION: Our study highlights the importance of HRF as an imaging biomarker in DME suggesting an inflammatory origin. Long-term observations of large cohorts with automated analysis can give more insights.