Aims: To examine the impact of a new national retinal screening programme on screening attendance, technical quality of images, and referrals to the ophthalmology clinic.
Methods: Results from the previous ad hoc retinal screening service were compared with data from the first year of the new Scottish Diabetes Retinal Screening Programme in Dundee, which was administered according to criteria recommended by the Health Technology Board Scotland.
Results: Of 5150 patients invited for screening, 10.3% of patients did not attend. Overall, 4574 patients underwent single-field digital retinal photography and 25.4% required mydriasis for an adequate image. After screening, 1.9 and 90.5% were recalled for repeat photography at 6 months and 1 year, respectively, whilst 4.6% were ungradable and 3.0% were referred to the ophthalmology clinic. Compared with the last 18 months of the previous scheme, with the new programme a smaller proportion of patients were referred to ophthalmology (3.0 vs. 5.9%; P < 0.001, difference 2.9%: 95% confidence interval 2.1-3.7%). Moreover, the attendance was higher (89 vs. 82%; P < 0.01) and there were fewer ungradable images (4.6 vs. 7.1%; P < 0.001).
Conclusions: Introduction of a systematic retinal screening programme can reduce the proportion of patients referred to the ophthalmology clinic, and use ophthalmology services more efficiently.
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http://dx.doi.org/10.1111/j.1464-5491.2005.01603.x | DOI Listing |
PLoS One
January 2025
Department of Neurology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Purpose: A relative afferent pupillary defect (RAPD) is a characteristic clinical sign of optic neuritis (ON). Here, we systematically evaluated ultrasound pupillometry (UP) for the detection of an RAPD in patients with ON, including a comparison with infrared video pupillometry (IVP), the gold standard for objective pupillometry.
Materials And Methods: We enrolled 40 patients with acute (n = 9) or past (n = 31) ON (ON+), 31 patients with multiple sclerosis (MS) without prior ON, and 50 healthy controls (HC) in a cross-sectional observational study.
Ocul Immunol Inflamm
January 2025
Department of Ophthalmology, Kyorin University School of Medicine, Tokyo, Japan.
Purpose: This study aimed to investigate demographic features, diagnoses of uveitis (intraocular inflammation), and real-world clinical practice in the use of local and systemic therapies for patients with uveitis in Tokyo, Japan.
Methods: Clinical records of 1,174 consecutive new patients (480 males, 694 females) referred to the Kyorin Eye Center, Kyorin University Hospital between January 2011 and December 2018 were retrospectively reviewed.
Results: Mean age at presentation was 52.
Am J Hypertens
January 2025
3rd Department of Internal Medicine, Papageorgiou Hospital, Aristotle University of Thessaloniki, Greece.
Background: Changes in retinal vessel caliber are crucial for detecting early retinopathy, a significant cause of blindness in individuals with Diabetes Mellitus type 2 (T2DM). This study aims to evaluate the changes in retinal vessel caliber and identify factors associated with these changes in recently diagnosed T2DM patients.
Methods: The study included newly diagnosed T2DM patients (within 6 months of diagnosis) who were free of antidiabetic treatment (except metformin) and matched individuals based on age and blood pressure (BP).
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.
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