Objective: To determine the level of agreement between non-eye care trainees and a trainer (ophthalmologist) in a vision screening program.
Design: Prospective, observational study carried out in 3 phases (Phase I-III).
Participants: Study population included 1228 children, aged 6-14 years, at 5 elementary schools in the city of Hamilton.
Methods: In Phase I, 1228 children were screened by the trainee screeners, of which 273 children failed the vision testing. Of these 273 children, 170 consented to enrolment into Phase II and were examined by an ophthalmologist, who confirmed that 105 of these children were true positives. On retesting (Phase III), the ophthalmologist passed 158 of the 163 randomly selected children who passed in Phase I.
Results: Overall, trainee screeners had a sample sensitivity of 95.5% and sample specificity of 70.8% in detecting children who should fail vision screening. When we used the positive and negative prediction values obtained, 198 of the 1228 children had vision impairment-providing an estimated prevalence of 16.1%, or 161 children per 1000 population.
Conclusions: Non-eye care professionals can be trained to an acceptable degree of accuracy to perform certain vision screening tests on children. Such screening methods may be a useful approach to address existing gaps in provision of eye care for many Canadian children, thereby ensuring that all children receive timely vision screening.
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http://dx.doi.org/10.1016/j.jcjo.2015.10.008 | DOI Listing |
PLoS One
January 2025
School of Optometry and Vision Science, UNSW Sydney, Sydney, New South Wales, Australia.
Purpose: In this study, we investigated the performance of deep learning (DL) models to differentiate between normal and glaucomatous visual fields (VFs) and classify glaucoma from early to the advanced stage to observe if the DL model can stage glaucoma as Mills criteria using only the pattern deviation (PD) plots. The DL model results were compared with a machine learning (ML) classifier trained on conventional VF parameters.
Methods: A total of 265 PD plots and 265 numerical datasets of Humphrey 24-2 VF images were collected from 119 normal and 146 glaucomatous eyes to train the DL models to classify the images into four groups: normal, early glaucoma, moderate glaucoma, and advanced glaucoma.
Clin Ophthalmol
January 2025
Retina Service, Massachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA, USA.
Purpose Of Review: Intimate partner violence (IPV) is a leading cause of death and disability across the world. We sought to investigate the prevalence and clinical presentation of ocular injuries in IPV.
Recent Findings: Literature review revealed 16 published studies that evaluated ocular injuries in IPV, of which the study types included 9 retrospective studies, 2 prospective, 1 review, 1 invited commentary, 2 case reports, and 1 population-based cross-sectional survey.
Biotechnol Bioeng
January 2025
State Key Laboratory of Bioreactor Engineering, Qingdao Innovation Institute of East China University of Science and Technology, East China University of Science and Technology, Shanghai, China.
High-performance strain and corresponding fermentation process are essential for achieving efficient biomanufacturing. However, conventional offline detection methods for products are cumbersome and less stable, hindering the "Test" module in the operation of "Design-Build-Test-Learn" cycle for strain screening and fermentation process optimization. This study proposed and validated an innovative research paradigm combining computer vision with deep learning to facilitate efficient strain selection and effective fermentation process optimization.
View Article and Find Full Text PDFObjective: The aim of this study was to assess the prevalence of diabetic retinopathy (DR) and retina screening coverage among people with diabetes in the catchment area of a high-volume eye care organisation in north India.
Design: A population-based cross-sectional study using Rapid Assessment of Avoidable Blindness survey, including the DR module.
Setting: A customised rural district in the catchment of Dr Shroff's Charity Eye Hospital in Uttar Pradesh in north India.
J Pediatr Endocrinol Metab
January 2025
Division of Pediatric Neurology, Department of Pediatrics and Child Health, Erciyes University, Faculty of Medicine, Kayseri, Türkiye.
Objectives: Tangier disease (TD) is a rare autosomal recessive condition characterized by high-density lipoprotein (HDL) deficiency; involving symptoms of polyneuropathy, hyperplastic orange-yellow tonsils, vision disorder, and sudden cardiac death. The major clinical symptoms of TD may not all be co-present. This study evaluates patients diagnosed with TD in childhood to improve the possibility of early diagnosis of asymptomatic cases by reporting our patients' clinical characteristics in order to minimize delayed diagnosis and emphasize the importance of TD, easily detected by HDL measurement.
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