Purpose: To determine the prevalence of SARS-CoV-2 in tear samples and to investigate whether it correlates with ocular findings and patients’ prognosis in Brazil. Methods: Tears were collected using Schirmer strips (SS) and conjunctival swabs (CS) from patients hospitalized with laboratory-confirmed SARS-CoV-2 infection. Samples were analyzed using qRT-PCR. Demographic and clinical data, ocular symptoms, and Schirmer tests (ST) were collected from patients. Charlson Comorbidity Index (CCI) was used to rate comorbidities, and patients were monitored until hospital discharge or death. Results: There were 61 hospitalized patients, 33 of which were diagnosed with COVID-19. Within the confirmed COVID-19 patients, SARS-CoV-2 was detected in 18.2% (n = 6) of CS and 12.1% (n = 4) of SS samples. Subjective and objective parameters for dry eye syndrome (e.g., ST COVID-19: 8.3 ± 6.4mm, non-COVID-19: 8.9 ± 6.6mm, p > 0.05) were comparable between COVID-19 (n = 33) and non-COVID-19 patients (n = 28). Among the 16 COVID-19 patients exhibiting ocular symptoms, only tearing was reported significantly more frequently when tear samples were positive for SARS-CoV-2 (p < 0.05). Strikingly, patients whose tears tested positive for SARS-CoV-2 had significantly inferior CCI (pos.: 34.0 ± 31.8%, neg.: 67.6 ± 36.4%, p < 0.05) and higher mortality rates (pos.: 50.0%, neg.: 7.4%, p < 0.01). Conclusions: SARS-CoV-2 was detected with a prevalence of 18.2% on the ocular surface. Decreased CCI and increased mortality rate in the positive tear group suggests that viral detection may relate to prognosis and highlight the need of personal protective measures for healthcare professionals. Most of the patients, regardless of COVID-19 diagnosis, had low tear production and eye discomfort, possibly pointing to the need for artificial tear use during hospitalization.

Smartphone-based fundus cameras and telemedicine are an opportunity for accessing ocular health inequalities in under-resourced areas. The objective of this study is to evaluate the prevalence of retinal findings in a community in the Amazon and propose strategies to enhance ocular health. A retrospective study was conducted in a riverside community. Retinal photos from the posterior pole and optic disc were captured using a portable fundus camera. All photos and data were analyzed remotely by a retina specialist. The final sample was 107 participants, aged 52 ± 17. Retinal findings were detected in 37.4% (95%CI 28.7–46.8) of the sample; the three main retinal findings were epithelial changes (10.3%, 95%CI 5.6–17.1), chorioretinal scars (8.4%, 95%CI 4.2–14.8), and dry age-related macular degeneration (7.5%, 95%CI 3.6–13.6). This study detected retinal alterations in a similar prevalence to that of other under-resourced areas. Telemedicine is an opportunity to address health inequities, especially in ophthalmology, through relatively low-cost portable devices, supporting clinical decisions in areas with low health access; however, maintaining assistance after implementation is a challenge. Enhancing medical education and training local non-specialized health professionals in risk assessment, device handling, and data base use is reasonable to ensure follow-up.

Purpose : To develop a low-cost, 3D-printed Schepens scleral depressor and evaluate its mechanical performance, safety, and ocular biomechanical effects. Methods: A Schepens-style depressor was developed and printed in PLA using a 3D-printer. Examiners performed two different tests: (1) the maximum simulated scleral depression force, using both the 3D-printed and a conventional steel depressor, and (2) a breakage test performed only on the 3D-printed device to determine its mechanical failure threshold. Peak forces were applied to porcine belly and recorded by a precision balance with a slow-motion video analysis. A third test - conduced exclusively with the 3D-printed depressor - was performed using one ex vivo porcine eye model to correlate applied force with induced intraocular pressure (IOP) elevation. Pressure–volume behavior was modeled using the Friedenwald rigidity coefficient. Results: One unit of the depressor prototype consumed 3.06g of PLA with an estimated cost and print time of U$0.06 and 22min. Simulated indentation produced forces of 21.21 ± 6.23N (3D-printed depressor) and 25.02 ± 4.64N (steel depressor), with no significant difference between devices. The 3D-printed instrument breakage point was 63.27 ± 10.72N, with a 2.98 Factor of Safety (FS) and 3.39 Reliability Index (b). In the porcine model, scleral depression produced 15.63 ± 8.13mmHg IOP elevation, requiring 0.191 ± 0.09N (FS = 331.2 and b = 5.88). Conclusion: The 3D-printed depressor demonstrates effective mechanical robustness, wide safety margins, and functional equivalence to steel instruments, supporting the use of customizable, low-cost 3D-printed depressors in training and clinical settings.

Smartphone-based fundus camera and telemedicine are an opportunity for accessing ocular health inequalities in underresourced areas. The objective of this study is to evaluate the prevalence of retinal findings in a community in the Amazon and propose strategies to enhance ocular health. A cross-sectional study was conducted in a river side community. Retinal photos from the posterior pole and optic disc were captured using a portable fundus camera. All photos and data were analyzed remotely by a retina specialist. The final sample was 107 participants, aged 52±17. Retinal findings were detected in 37.4% (95%CI 28.7–46.8) of the sample, the three main retinal findings were epithelial changes (10.3%, 95%CI 5.6–17.1), chorioretinal scars (8.4%, 95%CI 4.2–14.8), and dry Age-related Macular Degeneration (7.5%, 95%CI 3.6–13.6). This study detected retinal alterations in similar prevalence of other underresourced areas. Telemedicine is an opportunity to address health inequities, especially in ophthalmology, through relatively low-cost portable devices, supporting clinical decisions in areas with low health access, however, maintaining assistance after implementation is a challenge. Enhancing medical education and training local non-specialized health professionals for risk assessment, device handling, and data base use is reasonable to ensure follow-up.