Introduction: The aim of the study was to characterize the 2-year progression of risk phenotypes of nonproliferative diabetic retinopathy (NPDR) in type 2 diabetes (T2D) phenotype C, or ischemic phenotype, identified by decreased skeletonized retinal vessel density (VD), ≥2 SD over normal values, and phenotype B, or edema phenotype, identified by increased retinal thickness, i.e., subclinical macular edema, and no significant decrease in VD.
Methods: A prospective longitudinal cohort study (CORDIS, NCT03696810) was conducted with 4 visits (baseline, 6 months, 1 year, and 2 years). Ophthalmological examinations included best-corrected visual acuity, color fundus photography (CFP), and optical coherence tomography (OCT) and OCT angiography. Early Treatment Diabetic Retinopathy Study grading was performed at the baseline and last visits based on 7-field CFP.
Results: One hundred and twenty-two eyes from T2D individuals with NPDR fitted in the categories of phenotypes B and C and completed the 2-year follow-up. Sixty-five (53%) of the eyes were classified as phenotype B and 57 (47%) eyes as phenotype C. Neurodegeneration represented by thinning of the ganglion cell layer and inner plexiform layer was present in both phenotypes and showed significant progression over the 2-year period (p < 0.001). In phenotype C, significant progression in the 2-year period was identified in decreased skeletonized VD (p = 0.01), whereas in phenotype B microvascular changes involved preferentially decrease in perfusion density (PD, p = 0.012). Phenotype B with changes in VD and PD (flow) and preferential involvement of the deep capillary plexus (p < 0.001) is associated with development of center-involved macular edema.
Discussion: In the 2-year period of follow-up, both phenotypes B and C showed progression in retinal neurodegeneration, with changes at the microvascular level characterized by decreases in PD in phenotype B and decreases in VD in phenotype C.
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http://dx.doi.org/10.1159/000526370 | DOI Listing |
JAMA Netw Open
January 2025
Department of Ophthalmology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Importance: Determining spectacle-corrected visual acuity (VA) is essential when managing many ophthalmic diseases. If artificial intelligence (AI) evaluations of macular images estimated this VA from a fundus image, AI might provide spectacle-corrected VA without technician costs, reduce visit time, or facilitate home monitoring of VA from fundus images obtained outside of the clinic.
Objective: To estimate spectacle-corrected VA measured on a standard eye chart among patients with diabetic macular edema (DME) in clinical practice settings using previously validated AI algorithms evaluating best-corrected VA from fundus photographs in eyes with DME.
Ophthalmol Ther
January 2025
International Health Policy Program (IHPP), Ministry of Public Health, Nonthaburi, Thailand.
Introduction: Screening diabetic retinopathy (DR) for timely management can reduce global blindness. Many existing DR screening programs worldwide are non-digital, standalone, and deployed with grading retinal photographs by trained personnel. To integrate the screening programs, with or without artificial intelligence (AI), into hospital information systems to improve their effectiveness, the non-digital workflow must be transformed into digital.
View Article and Find Full Text PDFCureus
December 2024
Ophthalmology, Calderdale Royal Hospital, Halifax, GBR.
Diabetic retinopathy is the most common sight-threatening complication of diabetes, necessitating regular monitoring of progression via diabetic eye screening (DES). The National Institute for Health and Care Excellence (NICE) recommends DES annually for diabetic patients aged 12 years and older. This retrospective clinical audit assessed the reasons behind non-attendance and evaluated the adherence to guidelines set by NICE in a general practice with approximately 9000 patients.
View Article and Find Full Text PDFJ Vitreoretin Dis
January 2025
Department of Ophthalmology, Duke University School of Medicine, Durham, NC, USA.
To assess the differences in measures of diabetic retinopathy (DR) disease burden between patients in high-income vs low-income ZIP codes when presenting to retina specialists. This retrospective cohort study comprised patients who presented to a retina specialist at Duke Eye Center between 2014 and 2023 for the management of DR. The quartile of patients with the highest income was compared with the quartile with the lowest income.
View Article and Find Full Text PDFMol Neurobiol
January 2025
Department of Ophthalmology, Ruijin Hospital, Affiliated Shanghai Jiaotong University School of Medicine, 197 Ruijin Er Road, Shanghai, 200025, China.
VEGF is not only the most potent angiogenic factor, but also an important neurotrophic factor. In this study, vitreous expression of six neurotrophic factors were examined in proliferative diabetic retinopathy (PDR) patients with prior anti-VEGF therapy (n = 48) or without anti-VEGF treatment (n = 41) via ELISA. Potential source, variation and impact of these factors were further investigated in a mouse model of oxygen-induced retinopathy (OIR), as well as primary Müller cells and 661W photoreceptor cell line under hypoxic condition.
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