Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/198680
Title: Optical Coherence Tomography Angiography in Type 1 Diabetes Mellitus-Report 2: Diabetic Kidney Disease.
Author: Alé Chilet, Aníbal
Bernal Morales, Carolina
Barraso, Marina
Hernández, Teresa
Oliva, Cristian
Vinagre, Irene
Ortega, Emilio
Figueras Roca, Marc
Sala Puigdollers, Anna
Esquinas López, Cristina
Giménez, Marga
Esmatjes Mompó, Enric
Adán Civera, Alfredo
Zarranz Ventura, Javier
Keywords: Diabetis
Nefropaties diabètiques
Malalties del ronyó
Moviments oculars
Tomografia de coherència òptica
Diabetes
Diabetic nephropathies
Kidney diseases
Eye movements
Optical coherence tomography
Issue Date: 30-Dec-2021
Publisher: MDPI
Abstract: The purpose of this study is to investigate potential associations between optical coherence tomography angiography (OCTA) parameters and diabetic kidney disease (DKD) categories in type 1 diabetes mellitus (T1DM) patients and controls. A complete ocular and systemic examination, including OCTA imaging tests and bloods, was performed. OCTA parameters included vessel density (VD), perfusion density (PD), foveal avascular zone area (FAZa), perimeter (FAZp) and circularity (FAZc) in the superficial vascular plexus, and DKD categories were defined according to glomerular filtration rate (GFR), albumin-creatinine ratio (ACR) and KDIGO prognosis risk classifications. A total of 425 individuals (1 eye/1 patient) were included. Reduced VD and FAZc were associated with greater categories of GFR (p = 0.002, p = 0.04), ACR (p = 0.003, p = 0.005) and KDIGO risk prognosis classifications (p = 0.002, p = 0.005). FAZc was significantly reduced in greater KDIGO prognosis risk categories (low risk vs. moderate risk, 0.65 ± 0.09 vs. 0.60 ± 0.07, p < 0.05). VD and FAZc presented the best diagnostic performance in ROCs. In conclusion, OCTA parameters, such as VD and FAZc, are able to detect different GFR, ACR, and KDIGO categories in T1DM patients and controls in a non-invasive, objective quantitative way. FAZc is able to discriminate within T1DM patients those with greater DKD categories and greater risk of DKD progression.
Note: Reproducció del document publicat a: https://doi.org/10.3390/jcm11010197
It is part of: Journal of Clinical Medicine, 2021, vol. 11, num. 1, p. 197
URI: https://hdl.handle.net/2445/198680
Related resource: https://doi.org/10.3390/jcm11010197
ISSN: 2077-0383
Appears in Collections:Articles publicats en revistes (IDIBAPS: Institut d'investigacions Biomèdiques August Pi i Sunyer)
Articles publicats en revistes (Medicina)

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