| Literature DB >> 32728935 |
Miguel A Zapata1,2, Ruth Martín3, Claudia Garcia-Arumí4, Alex Fonollosa5, Ignacio Flores-Moreno5, Roberto Gallego-Pinazo5, Estanislao Gutiérrez5, Maximino Abraldes5, Javier Zarranz-Ventura4,6.
Abstract
PURPOSE: To evaluate the first year outcomes of a remote screening program for detection of retinal diseases using handheld nonmydriatic cameras in occupational routine checkups performed onsite at work centers.Entities:
Keywords: Occupational health; Optic nerve diseases; Retinal diseases; Screening; Telemedicine
Mesh:
Year: 2020 PMID: 32728935 PMCID: PMC7391026 DOI: 10.1007/s00417-020-04860-z
Source DB: PubMed Journal: Graefes Arch Clin Exp Ophthalmol ISSN: 0721-832X Impact factor: 3.117
Fig. 1Example of fundus photographs with different models of handheld cameras. Images performed with Smartscope PRO: (A1) peripapillar choroidal nevus and (A2) myopic fundus with atrophy and Fuchs’ spot. Images capted with Visuscout 100: (B1) macular pigmented abnormalities and (B2) diabetic retinopathy. Images from Aurora: (C1) Retinal scars and (C2) tessellated fundus
Fig. 2Demonstration of retinal fundus imaging, using handheld camera, and preregistration with QR codes
Patients distribution and fundus image finding depending on age group
| Age group | < 40 years | 40–49 years | 50–59 years | ≥ 60 years | Total | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Patients | Percentage | Patients | Percentage | Patients | Percentage | Patients | Percentage | Patients | Percentage | ||
| Number of patients | 8405 | 100.0 | 7269 | 100.0 | 3751 | 100.0 | 456 | 100.0 | 19,881 | ||
| Gender | Female | 4657 | 55.4 | 4260 | 58.6 | 2043 | 54.5 | 194 | 42.5 | 8727 | 43.9 |
| Male | 3748 | 44.6 | 3009 | 41.4 | 1708 | 45.5 | 262 | 57.5 | 11,154 | 56.1 | |
| Diabetic patients | 69 | 0.8 | 77 | 1.1 | 116 | 3.1 | 25 | 5.5 | 287 | 1.4 | |
| Retinal fundus abnormalities | All abnormalities | 421 | 5.0 | 573 | 7.9 | 472 | 12.6 | 90 | 19.7 | 1556 | 7.8 |
| Choroidal Nevus | 142 | 1.7 | 201 | 2.8 | 114 | 3.0 | 12 | 2.6 | 469 | 2.4 | |
| Macular pigment abnormalities | 72 | 0.9 | 123 | 1.7 | 93 | 2.5 | 13 | 2.9 | 301 | 1.5 | |
| GON | 69 | 0.8 | 81 | 1.1 | 80 | 2.1 | 8 | 1.8 | 238 | 1.2 | |
| High myopia | 67 | 0.8 | 81 | 1.1 | 58 | 1.5 | 6 | 1.3 | 212 | 1.1 | |
| Blurred images | 23 | 0.3 | 37 | 0.5 | 54 | 1.4 | 30 | 6.6 | 144 | 0.7 | |
| AMD | 0 | 0.0 | 0 | 0.0 | 16 | 0.4 | 14 | 3.1 | 30 | 0.2 | |
| Others | 48 | 0.5 | 50 | 0.7 | 57 | 1.7 | 7 | 1.4 | 162 | 1.6 | |
| Referral | Routine | 410 | 95.0 | 560 | 7.7 | 456 | 12.2 | 90 | 19.7 | 1516 | 7.6 |
| Preferential | 10 | 4.9 | 12 | 0.2 | 12 | 0.3 | 0 | 0.0 | 34 | 0.2 | |
| Urgently | 1 | 0.1 | 1 | 0.0 | 4 | 0.1 | 0 | 0.0 | 6 | 0.0 | |
Fig. 3Representation of the main abnormalities found in the retinographies and their absolute numbers of the total series. GON, glaucomatous optic neuropathy: AMD, age-related macular degeneration; ERM, epiretinal membrane; CSC, central serous chorioretinopathy; DRP, diabetic retinopathy
Fig. 4Distribution of retinal fundus abnormalities depending on age groups