Objective: To investigate the prevalence and causes of low vision and blindness in Beijing residents aged 40 and over.
Methods: 4,451 residents aged 40 and over in 3 rural communities and 5 urban communities in Beijing underwent eye examination, including examination of distant and near visual acuity (VA), best corrected distant and near VA, pinhole VA, and visual field, slit lamp biomicroscopy, and dilated ocular examination in the form of in-home survey by defined population-based sampling. The medical history was surveyed too. The data were analyzed based on the criteria of the World Health Organization.
Results: The general prevalence rates of low vision and blindness were 0.99% (95% CI: 0.70-1.28) and 0.39% (95% CI: 0.21-0.57) respectively. The prevalence rate of low vision in females was 1.45%, 2.23 times that of males (0.65%) (OR: 1.97, 95% CI: 1.00-3.95). The prevalence rate of low vision of rural residents was 1.76%, 2.89 times that of urban residents (0.61%) (OR: 2.93, 95% CI: 1.43-6.11). The prevalence rate of blindness in females was 0.64% and 0.37% in males. The prevalence rate of blindness of rural residents was 1.06%, 2.04 times that of the urban residents (0.52%) (OR: 3.77, 95% CI: 1.41-10.62). The 3 major causes of blindness were cataract (37.50%), glaucoma (29.20%), and high myopic macular degeneration (8.30%). The prevalence of blindness increased with age.
Conclusion: The prevalence rates of low vision and blindness are higher in the rural areas. Cataract, glaucoma, and high myopic macular degeneration are the major causes of blindness. The prevalence of low vision and blindness are influenced by age, sex; area, health care level, educational level, and environmental factors.
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BMJ Open
December 2024
Vision and Eye Research Institute, School of Medicine, Anglia Ruskin University, Cambridge, UK.
Objective: This study aims to examine the reduction and subsequent recovery of routine digital screening (RDS) uptake in England from 2018 to 2022, exploring national, regional and individual Diabetic Eye Screening Programme (DESP) levels. The COVID-19 lockdown in most areas of England was from 26 March 2020 to 23 June 2020 (first national lockdown), 5 November 2020 to 2 December 2020 (second national lockdown) and 6 January 2021 to 8 March 2021 (third national lockdown).
Design: Retrospective data analysis.
Vestn Oftalmol
December 2024
Northern State Medical University, Arkhangelsk, Russia.
Unlabelled: Intrinsic capacity and quality of life of older adults are determined by many factors, including the functional state of the organ of vision.
Purpose: This study assessed the visual functions of elderly residents of Northern European Russia and examined the relationship between visual impairment and sociodemographic characteristics, ophthalmic conditions, and preservation of work capacity and social functions.
Material And Methods: This cross-sectional study included a random population sample of older adults (ages 60-74) from Arkhangelsk, Russia (=604).
BMC Genomics
December 2024
Institute of Biochemistry and Biophysics, Polish Academy of Sciences, Warsaw, 02-106, Poland.
Low Complexity Regions (LCRs) are segments of proteins with a low diversity of amino acid composition. These regions play important roles in proteins. However, annotations describing these functions are dispersed across databases and scientific literature.
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December 2024
INCI-UPR3212-CNRS, 8 Allée du Général Rouvillois, 67000, Strasbourg, France.
Mutations in the gene ABCA4 coding for photoreceptor-specific ATP-binding cassette subfamily A member 4, are responsible for Stargardts Disease type 1 (STGD1), the most common form of inherited macular degeneration. STGD1 typically declares early in life and leads to severe visual handicap. Abca4 gene-deletion mouse models of STGD1 accumulate lipofuscin, a hallmark of the disease, but unlike the human disease show no or only moderate structural changes and no functional decline.
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December 2024
Portrai, Inc., Dongsullagil, 78-18 Jongrogu, Seoul, Republic of Korea; Department of Nuclear Medicine, Seoul National University Hospital, 03080 Seoul, Republic of Korea; Department of Nuclear Medicine, Seoul National University College of Medicine, 03080 Seoul, Republic of Korea. Electronic address:
Spatially resolved transcriptomics (ST) has revolutionized the field of biology by providing a powerful tool for analyzing gene expression in situ. However, current ST methods, particularly barcode-based methods, have limitations in reconstructing high-resolution images from barcodes sparsely distributed in slides. Here, we present SuperST, an algorithm that enables the reconstruction of dense matrices (higher-resolution and non-zero-inflated matrices) from low-resolution ST libraries.
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