Background/aims: Retinal photography with a non-mydriatic camera is the method currently employed for diabetic retinography (DR) screening. We designed this study in order to evaluate the prevalence and severity of DR, and associated risk factors, in patients with type 2 diabetes (T2DM) screened in Catalan Primary Health Care.
Methods: Retrospective, cross-sectional, population based study performed in Catalonia (Spain) with patients with T2DM, aged between 30 years and 90 years (on 31 December 2012) screened with retinal photography and whose DR category was recorded in their medical records. DR was classified as: no apparent retinopathy (no DR), mild non-proliferative DR (mild NPDR), moderate NPDR, severe NPDR, proliferative DR (PDR) and diabetic macular oedema (DMO). Non-vision threatening DR (non-VTDR) included mild and moderate NPDR; VTDR included severe NPDR, PDR and DMO. Clinical data were obtained retrospectively from the SIDIAP database (System for Research and Development in Primary Care).
Results: 108 723 patients with T2DM had been screened with retinal photography. The prevalence of any kind of DR was 12.3% (95% CI 12.1% to 12.5%). Non-VTDR and VTDR were present in 10.8% (mild 7.5% and moderate NPDR 3.3%) and 1.4% (severe NPDR 0.86%, PDR 0.36% and DMO 0.18%) of the study patients, respectively.
Conclusions: The prevalence of any type of DR in patients with T2DM screened with retinal photography was lower when compared with earlier studies.
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http://dx.doi.org/10.1136/bjophthalmol-2015-306683 | DOI Listing |
Mayo Clin Proc Digit Health
December 2024
School of Computed and Augmented Intelligence, Arizona State University, Tempe, AZ.
Objective: To report the development and performance of 2 distinct deep learning models trained exclusively on retinal color fundus photographs to classify Alzheimer disease (AD).
Patients And Methods: Two independent datasets (UK Biobank and our tertiary academic institution) of good-quality retinal photographs derived from patients with AD and controls were used to build 2 deep learning models, between April 1, 2021, and January 30, 2024. ADVAS is a U-Net-based architecture that uses retinal vessel segmentation.
Cardiovasc Diabetol
January 2025
Division of Cardiovascular Research, School of Medicine, University of Dundee, Dundee, DD1 9SY, UK.
Background: Prior studies have demonstrated an association between retinal vascular features and cardiovascular disease (CVD), however most studies have only evaluated a few simple parameters at a time. Our aim was to determine whether a deep-learning artificial intelligence (AI) model could be used to predict CVD outcomes from routinely obtained diabetic retinal screening photographs and to compare its performance to a traditional clinical CVD risk score.
Methods: We included 6127 individuals with type 2 diabetes without myocardial infarction or stroke prior to study entry.
Nat Commun
January 2025
NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust & University College London Institute of Ophthalmology, London, UK.
Few metrics exist to describe phenotypic diversity within ophthalmic imaging datasets, with researchers often using ethnicity as a surrogate marker for biological variability. We derived a continuous, measured metric, the retinal pigment score (RPS), that quantifies the degree of pigmentation from a colour fundus photograph of the eye. RPS was validated using two large epidemiological studies with demographic and genetic data (UK Biobank and EPIC-Norfolk Study) and reproduced in a Tanzanian, an Australian, and a Chinese dataset.
View Article and Find Full Text PDFTurk J Ophthalmol
December 2024
University of Health Sciences Türkiye, Kartal Dr. Lütfi Kırdar City Hospital, Clinic of Rheumatology, İstanbul, Türkiye.
This case report discusses a case of granulomatosis with polyangiitis (GPA) initially presenting with lacrimal gland involvement and subsequently developing additional features. GPA is a disease known for inflammation in the respiratory tract and kidneys. A 63-year-old male patient presented with a mass, swelling, and ptosis in the right upper eyelid.
View Article and Find Full Text PDFEye Vis (Lond)
January 2025
Eye Institute and Department of Ophthalmology, Eye and Ear Nose, Throat Hospital of Fudan University, 83 Fen Yang Road, Shanghai, 200031, China.
Background: To investigate the anatomical and functional outcomes of macular hole-associated retinal detachment (MHRD) after vitrectomy using the inverted internal limiting membrane (ILM) flap technique with autologous blood clot (ABC).
Methods: This retrospective observational study included 80 eyes with MHRD that underwent vitrectomy with ILM flap without (46 eyes) or with ABC (34 eyes). Fundus photography and optical coherence tomography were evaluated.
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