Optical Coherence Tomography Angiography in Neurology and Neuro-Ophthalmology

Pinhas, Alexander; Elmalem, Valerie I.; Toral, Maria Castanos; Zhou, Davis B.; Romo, Jorge S Andrade; Barash, Alexander; Rosen, Richard B.

doi:10.1007/978-3-030-26269-3_24

Cited by 1 publication

(1 citation statement)

References 28 publications

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“…Specifically, OCT-angiography (OCT-A), an innovative extension of OCT technology that provides non-invasive depth-resolved visualization of the retinal microvasculature ( Spaide et al, 2015 ; Kashani et al, 2017 ), has been successfully used to explore the predictive power of retinal vessel features for detecting cardiovascular diseases ( Monteiro-Henriques et al, 2022 ), systemic hypertension ( Takayama et al, 2018 ; Niro et al, 2022 ), neurodegenerative disorders ( Czakó et al, 2020 ; Pellegrini et al, 2020 ; Pinhas et al, 2020 ), diabetes mellitus ( Le et al, 2021 ), and chronic kidney disease ( Vadalà et al, 2019 ).…”

Section: Introductionmentioning

confidence: 99%

Liver fibrosis and retinal features in an older Mediterranean population: Results from the Salus in Apulia study

Lampignano

Niro²,

Castellana³

et al. 2022

Front. Neurosci.

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BackgroundAge is a leading contributor to the liver fibrosis rate and a gradual deterioration of optical function, but this association in older populations is still under-explored. The present study aimed to explore the link between vascular and neural retinal characteristics and the risk of liver fibrosis in 731 older adults from the population-based Salus in Apulia study.MethodsRetinal features were obtained using optical coherence tomography (OCT) and OCT-angiography (OCT-A). Liver fibrosis risk was taken as the fibrosis-4 (FIB-4) score. Generalized linear models (logistic regression) were used to estimate the association effect between each unit increase of OCT and OCT-A parameters as independent variables and a FIB-4 ≥ 2.67 score as an outcome. Generalized additive models were used to assess the non-linear association between OCT-A features and the linear FIB-4 score.ResultsIncreased gangliar cell complex (GCC) thickness was inversely associated with a FIB-4 score above the cut-off in both the raw model (OR: 0.98; 95% CI: 0.96–0.99; SE: 0.01) and after adjustment for age, sex, education, hypertension, diabetes, total cholesterol, and triglycerides (OR: 0.98; 95% CI: 0.97–0.99; SE: 0.01).ConclusionOur findings add to the growing volume of scientific literature demonstrating that liver fibrosis is associated with retinal neurodegeneration. This study raises a number of new questions, including whether OCT-A may be used to track the progression of metabolic abnormalities and define exact thresholds for predicting and classifying liver disease.

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