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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