Optical Coherence Tomography Angiography in Type 1 Diabetes Mellitus-Report 2: Diabetic Kidney Disease.

dc.contributor.authorAlé Chilet, Aníbal Raimundo
dc.contributor.authorBernal Morales, Carolina
dc.contributor.authorBarraso, Marina
dc.contributor.authorHernández, Teresa
dc.contributor.authorOliva, Cristian
dc.contributor.authorVinagre, Irene
dc.contributor.authorOrtega Martínez de Victoria, Emilio
dc.contributor.authorFigueras Roca, Marc
dc.contributor.authorSala Puigdollers, Anna
dc.contributor.authorEsquinas López, Cristina
dc.contributor.authorGiménez, Marga
dc.contributor.authorEsmatjes Mompó, Enric
dc.contributor.authorAdán Civera, Alfredo
dc.contributor.authorZarranz Ventura, Javier
dc.date.accessioned2023-05-30T16:07:39Z
dc.date.available2023-05-30T16:07:39Z
dc.date.issued2021-12-30
dc.date.updated2023-05-30T16:07:39Z
dc.description.abstractThe 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.
dc.format.extent15 p.
dc.format.mimetypeapplication/pdf
dc.identifier.idgrec720512
dc.identifier.issn2077-0383
dc.identifier.pmid35011940
dc.identifier.urihttps://hdl.handle.net/2445/198680
dc.language.isoeng
dc.publisherMDPI
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.3390/jcm11010197
dc.relation.ispartofJournal of Clinical Medicine, 2021, vol. 11, num. 1, p. 197
dc.relation.urihttps://doi.org/10.3390/jcm11010197
dc.rightscc-by (c) Alé Chilet, Aníbal et al., 2021
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceArticles publicats en revistes (Medicina)
dc.subject.classificationDiabetis
dc.subject.classificationNefropaties diabètiques
dc.subject.classificationMalalties del ronyó
dc.subject.classificationMoviments oculars
dc.subject.classificationTomografia de coherència òptica
dc.subject.otherDiabetes
dc.subject.otherDiabetic nephropathies
dc.subject.otherKidney diseases
dc.subject.otherEye movements
dc.subject.otherOptical coherence tomography
dc.titleOptical Coherence Tomography Angiography in Type 1 Diabetes Mellitus-Report 2: Diabetic Kidney Disease.
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion

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