Literature DB >> 27228051

Telemedicine for a General Screening of Retinal Disease Using Nonmydriatic Fundus Cameras in Optometry Centers: Three-Year Results.

Miguel A Zapata1,2, Gabriel Arcos1, Alex Fonollosa1,3, Maximino Abraldes1,4, Andrea Oleñik1,5, Estanislao Gutierrez1,6, Jose Garcia-Arumi2,7.   

Abstract

PURPOSE: Describe the first 3 years of highly specialized retinal screening through a web platform using a retinologists' network for image reading.
METHODS: All patients who came to centers in the network and consented to fundus photography were included. Images were evaluated by ophthalmologists. We describe number of patients, age, visual acuity, retinal abnormalities, medical recommendations, and factors associated with abnormal retinographies.
RESULTS: Fifty thousand three hundred eighty-four patients were included; mean age 52.3 years (range 3-99). Mean visual acuity 20/25. Of the total cohort, 75% had normal retinographies, 22% had abnormalities, 1% referred acute floaters, 1% referred acute symptoms with normal retinography, and 1% could not be assessed. Ophthalmological referral was recommended in 12,634 patients: 9% urgent visit, 11% preferential (2-3 weeks), and 80% an ordinary visit. Age-related maculopathy signs were the most common abnormalities (2,456 patients, 4.8%). Epiretinal membrane was the second (764 cases, 1.5%). Diabetic retinopathy was suspected in 543 patients (1%), and nevi in 358 patients (0.7%). Patients older than 50 years had significantly more retinal abnormalities (31.5%) than younger ones (11.1%) (p < 0.0001; odds ratio [OR] 2.47; confidence interval [CI] 2.37-2.57). Patients with almost one eye with a myopic defect greater than -5 spherical equivalent had a higher risk of presenting abnormalities (p < 0.001; OR 1.04; CI 1.03-1.05).
CONCLUSIONS: A high rate of asymptomatic retinal abnormalities was detected in this general screening, justifying this practice. Many patients who visit optometrists in Spain are unaware that they would benefit from ophthalmological monitoring. The ophthalmic community should lead initiatives of the type presented to preserve and guarantee quality standards.

Entities:  

Keywords:  commercial telemedicine; ophthalmology; technology; telemedicine

Mesh:

Year:  2016        PMID: 27228051     DOI: 10.1089/tmj.2016.0020

Source DB:  PubMed          Journal:  Telemed J E Health        ISSN: 1530-5627            Impact factor:   3.536


  11 in total

1.  Retinal abnormalities, although relatively common in sleep clinic patients referred for polysomnography, are largely unrelated to sleep-disordered breathing.

Authors:  Terence C Amis; Rita Perri; Sharon Lee; Meredith Wickens; Gerald Liew; Paul Mitchell; Kristina Kairaitis; John R Wheatley
Journal:  Sleep Breath       Date:  2022-07-08       Impact factor: 2.816

2.  Prevalence of age-related macular degeneration among optometric telemedicine users in Spain: a retrospective nationwide population-based study.

Authors:  Miguel A Zapata; Anniken Burés; Roberto Gallego-Pinazo; Estanislao Gutiérrez-Sánchez; Andrea Oléñik; Salvador Pastor; Jorge Ruiz-Medrano; Cecilia Salinas; Susana Otero-Romero; Maximino Abraldes
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2021-02-12       Impact factor: 3.117

3.  Ophthalmology practice during the COVID-19 pandemic.

Authors:  Khaled Safadi; Joshua M Kruger; Itay Chowers; Abraham Solomon; Radgonde Amer; Hamzah Aweidah; Shahar Frenkel; Hadas Mechoulam; Irene Anteby; Hadas Ben Eli; Itay Lavy; Tarek Jaouni; David Landau; Liran Tiosano; Gabriel Greifner; Shay Ofir; Tamar Levi Vineberg; Jaime Levy
Journal:  BMJ Open Ophthalmol       Date:  2020-04-19

4.  Remote screening of retinal and optic disc diseases using handheld nonmydriatic cameras in programmed routine occupational health checkups onsite at work centers.

Authors:  Miguel A Zapata; Ruth Martín; Claudia Garcia-Arumí; Alex Fonollosa; Ignacio Flores-Moreno; Roberto Gallego-Pinazo; Estanislao Gutiérrez; Maximino Abraldes; Javier Zarranz-Ventura
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2020-07-29       Impact factor: 3.117

5.  Artificial Intelligence to Identify Retinal Fundus Images, Quality Validation, Laterality Evaluation, Macular Degeneration, and Suspected Glaucoma.

Authors:  Miguel Angel Zapata; Dídac Royo-Fibla; Octavi Font; José Ignacio Vela; Ivanna Marcantonio; Eduardo Ulises Moya-Sánchez; Abraham Sánchez-Pérez; Darío Garcia-Gasulla; Ulises Cortés; Eduard Ayguadé; Jesus Labarta
Journal:  Clin Ophthalmol       Date:  2020-02-13

6.  The effect of the COVID-19 pandemic on working practices of UK primary care optometrists.

Authors:  Manbir Nagra; Peter M Allen; Yvonne Norgett; Eldre Beukes; Michael Bowen; Marta Vianya-Estopa
Journal:  Ophthalmic Physiol Opt       Date:  2021-02-02       Impact factor: 3.117

Review 7.  The Role of Telemedicine, In-Home Testing and Artificial Intelligence to Alleviate an Increasingly Burdened Healthcare System: Diabetic Retinopathy.

Authors:  Janusz Pieczynski; Patrycja Kuklo; Andrzej Grzybowski
Journal:  Ophthalmol Ther       Date:  2021-06-22

Review 8.  Neovascular Age-Related Macular Degeneration: Therapeutic Management and New-Upcoming Approaches.

Authors:  Federico Ricci; Francesco Bandello; Pierluigi Navarra; Giovanni Staurenghi; Michael Stumpp; Marco Zarbin
Journal:  Int J Mol Sci       Date:  2020-11-03       Impact factor: 5.923

9.  Feasibility Study of a Multimodal, Cloud-Based, Diabetic Retinal Screening Program in a Workplace Environment.

Authors:  Jeffrey R Willis; Ferhina S Ali; Braelyn Argente; Amitha Domalpally; Jacqueline Gannon; Simon S Gao; Shagun Grover; Purti Kanodia; Sparkle Russell-Puleri; Diana Sun; Cory Thrasher; Costas Tsougarakis; J Jill Hopkins
Journal:  Transl Vis Sci Technol       Date:  2021-05-03       Impact factor: 3.283

10.  Economic burden of age-related macular degeneration in routine clinical practice: the RAMDEBURS study.

Authors:  José M Ruiz-Moreno; Luís Arias; Maximino J Abraldes; Javier Montero; Patricia Udaondo
Journal:  Int Ophthalmol       Date:  2021-06-10       Impact factor: 2.031

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