Periorbital necrotizing fasciitis: clinical perspectives on nine cases.

A multicenter review of Periorbital Necrotizing Fasciitis including nine cases, aged 41 to 82, mostly female, and mainly post-traumatic or idiopathic. Streptococcus pyogenes was the most frequent pathogen. Treatment involved debridement alongside antibiotic therapy in all cases. Two cases experienced toxic shock, with no fatalities. Visual outcomes varied from exenteration to preserved visual acuity with minimal aesthetic impact. Early detection and prompt intervention are paramount due to the significant risks associated with this condition, which may lead to severe complications ranging from vision loss to systemic decline or death.

Medial Canthal Tendon Reflecting in Lower Eyelid Reconstruction After Palpebral Cancer Surgery: Description of a New Technique.

PURPOSE: The aim of this article is to describe a new reconstructive technique of the lower eyelid in the surgery of tumors involving the medial canthal tendon. METHODS: Our new technique consists of detaching and reflecting the most medial portion of the anterior medial canthal tendon and reinserting it into the posterior lamella. We describe the cases in which our technique can be useful, as well as the results we have obtained. RESULTS: The result after a year of follow-up showed no disruption of the angulation of the lower eyelid line and no changes in eyelid position. CONCLUSIONS: The medial canthal tendon reflection could provide both aesthetic and functional results that may be superior to the usual techniques.

Validation of an autonomous artificial intelligence-based diagnostic system for holistic maculopathy screening in a routine occupational health checkup context.

PURPOSE: This study aims to evaluate the ability of an autonomous artificial intelligence (AI) system for detection of the most common central retinal pathologies in fundus photography. METHODS: Retrospective diagnostic test evaluation on a raw dataset of 5918 images (2839 individuals) evaluated with non-mydriatic cameras during routine occupational health checkups. Three camera models were employed: Optomed Aurora (field of view - FOV 50º, 88% of the dataset), ZEISS VISUSCOUT 100 (FOV 40º, 9%), and Optomed SmartScope M5 (FOV 40º, 3%). Image acquisition took 2 min per patient. Ground truth for each image of the dataset was determined by 2 masked retina specialists, and disagreements were resolved by a 3rd retina specialist. The specific pathologies considered for evaluation were "diabetic retinopathy" (DR), "Age-related macular degeneration" (AMD), "glaucomatous optic neuropathy" (GON), and "Nevus." Images with maculopathy signs that did not match the described taxonomy were classified as "Other." RESULTS: The combination of algorithms to detect any abnormalities had an area under the curve (AUC) of 0.963 with a sensitivity of 92.9% and a specificity of 86.8%. The algorithms individually obtained are as follows: AMD AUC 0.980 (sensitivity 93.8%; specificity 95.7%), DR AUC 0.950 (sensitivity 81.1%; specificity 94.8%), GON AUC 0.889 (sensitivity 53.6% specificity 95.7%), Nevus AUC 0.931 (sensitivity 86.7%; specificity 90.7%). CONCLUSION: Our holistic AI approach reaches high diagnostic accuracy at simultaneous detection of DR, AMD, and Nevus. The integration of pathology-specific algorithms permits higher sensitivities with minimal impact on its specificity. It also reduces the risk of missing incidental findings. Deep learning may facilitate wider screenings of eye diseases.

Prevalence and implications of the presence of intraocular silicone oil droplets in patients treated with intravitreal injections of anti-VEGF.

BACKGROUND: To determine the percentage of patients who have silicone droplets in the vitreous after treatment with different anti-Vascular Endothelial Growth Factor (anti-VEGF) intravitreal injections (IVI) and how symptomatic they are. METHODS: One hundred fifty-two eyes of 140 patients who had at least received an IVI were recruited for this study. Data collection included the number and type of IVI (aflibercept, ranibizumab and bevacizumab) and the follow-up time. A complete ophthalmologic examination was carried out and patients were classified in four groups according to the amount of silicone droplets found in dilated fundoscopy (nonexistent, scarce, moderate and abundant). Measurement of intraocular pressure (IOP) was also carried out. An interview was conducted to report the presence and intensity of the symptomatology. RESULTS: Silicone oil droplets were reported in 109 eyes (71.7%). A positive correlation was found between the number of IVIs received and the quantity of droplets found, especially when aflibercept was used. Posterior vitreous detachment (PVD) was present in 65.8% of the patients, showing a positive correlation with the number of bubbles. Regarding the symptomatology, 60 eyes (39.5%) had floaters and the disturbance was reported to be 4 out of 10. The group with a moderate amount of silicone droplets had the highest percentage of floaters (60%). No statistical differences in the IOP were found between groups, although the group with abundant droplets had a higher mean IOP. CONCLUSION: A high prevalence of silicone droplets in vitreous of patients who undergo IVI treatment was found. It appears to have little impact on symptomatology and rise of IOP.

Transcriptomics analysis of Ccl2/Cx3cr1/Crb1rd8 deficient mice provides new insights into the pathophysiology of progressive retinal degeneration.

Chronic oxidative stress and immune dysregulation are key mechanisms involved in the pathogenesis of most retinal degenerative diseases, including age-related macular degeneration. The Ccl2-/-/Cx3cr1-/-/Crb1rd8/rd8 mouse model develops a progressive degeneration phenotype, with photoreceptor atrophy, drusen-like lesions or pigment alterations at an early age; however, the role of oxidative stress and immune function in the pathogenesis of the model is poorly understood. We performed a comprehensive characterization of the Ccl2-/-/Cx3cr1-/-/Crb1rd8/rd8 mouse to evaluate how these pathways influence pathogenesis. We generated a Ccl2-/-/Cx3cr1-/- double-knockout (DKO) mouse on a C57BL/6N background (with the rd8 mutation of the Crb1 gene), assessed its retina status and function during 9 months in both in vivo and post-mortem analysis, and performed a comprehensive transcriptomic analysis. DKOrd8 mice presented focal retinal lesions with increased infiltration of microglia and involvement of Müller cells. Lesions progressed to thinning of the photoreceptor nuclear layer, causing a loss in retinal function. Transcriptomics analysis revealed major differential expression of genes involved in oxidative stress and neuronal function, in particular genes related to the mitochondrial electron transport chain and antioxidant cellular response. Our results suggest that alterations in chemokine signaling combined with the rd8 mutation in Ccl2-/-/Cx3cr1-/-/Crb1rd8/rd8 mice involve early changes in several pathways associated with age-related macular degeneration, highlighting the relevance of these processes in the pathological retinal degeneration in the DKOrd8 model.

EFFICACY AND SAFETY OF A TREAT-AND-EXTEND REGIMEN WITH AFLIBERCEPT IN TREATMENT-NAIVE PATIENTS WITH TYPE 3 NEOVASCULARIZATION: A 52-Week, Single-Arm, Multicenter Trial.

PURPOSE: To evaluate 52-week efficacy and safety of a treat-and-extend regimen of intravitreal aflibercept 2 mg on treatment-naive Type 3 neovascularization lesions. METHODS: Phase IV, prospective, open-label, single-arm, multicenter trial including patients with untreated Stage I/II Type 3 neovascularization lesions and baseline best-corrected visual acuity between 78 and 23 Early Treatment Diabetic Retinopathy Study letters. Primary endpoint: mean change in best-corrected visual acuity from baseline at 52 weeks. RESULTS: Thirty-two eyes from 32 patients were included (mean ± SD age: 78.2 ± 7.7 years, 68.8% females, baseline best-corrected visual acuity: 57.9 ± 15.4 [Snellen fraction 20/70]). Best-corrected visual acuity increased by 10.5 ± 15.9 Early Treatment Diabetic Retinopathy Study letters at Week 52 (P = 0.0001). The mean foveal and choroidal thickness decreased by 129.1 ± 80.1 µm (P < 0.0001) and 64.3 ± 96.5 (P = 0.0001), respectively. The proportion of patients with intraretinal/subretinal fluid decreased from 28 (87.5%) at baseline to 3 (11.5%) at Week 52 (P < 0.0001). Pigment epithelial detachment and lesion area showed nonsignificant changes over 52 weeks. The mean number of injections was 8.0 ± 2.0. Seven (21.9%) patients experienced treatment-related adverse events and two (6.3%) experienced serious adverse events; one (3.1%) ocular serious adverse event requiring treatment withdrawal, endophthalmitis, and one (3.1%) nonocular spontaneously resolved serious adverse event, palpitations. One (3.1%) patient experienced an APTC ATE: nonfatal stroke not related to trial treatment. CONCLUSION: A treat-and-extend regimen of aflibercept improves visual acuity and retinal edema in eyes with Type 3 neovascularization over 52 weeks with good tolerability.

Predictive capacity of baseline hyperreflective dots on the intravitreal dexamethasone implant (Ozurdex®) outcomes in diabetic macular edema: a multicenter study.

PURPOSE: The purpose of this study is to evaluate the predictive capacity of the baseline hyperreflective dots (HRDs) on the functional and anatomical response in patients with diabetic macular edema (DME). Additionally, we assessed the impact of the intravitreal dexamethasone (DEX) implant on the functional and anatomic outcomes. METHODS: Retrospective, multicenter study. The number of HRDs was graded in four different stages: [A] none HRDs; [B] few, 1-10 HRDs; [C] moderate, 11-20 HRDs; and [D] many, ≥ 21 HRDs. For statistical purposes, groups A and B were combined [scarce HRDs (S-HRDs)] and group D was renamed as [abundant HRDs (A-HRDs)]. The primary endpoints were the mean change in best corrected visual acuity (BCVA) and central macular thickness (CMT) according to baseline HRD stage. RESULTS: One hundred eyes from one hundred patients were included in the study. Mean BCVA significantly improved from 52.9 (50.0 to 55.8) letters ETDRS at baseline to 57.2 (54.0 to 60.4) letters at month 6, p = 0.0039. There were no significant differences between the S-HRDs and A-HRD study groups in BCVA. As compared to baseline, CMT reduction was 106.3 (59.8 to 152.7) µm and 94.2 (34.7 to 153.7) µm in S-HRDs and A-HRD groups, respectively (p < 0.0001 each, respectively). Twenty-three (65.7%) and 18 (62.1%) eyes achieved a CMT reduction ≥ 10% in the S-HRD and A-HRD groups, respectively, p = 0.7640. DEX implant significantly reduced the presence of outer nuclear layer (ONL) disruptions (p = 0.0010). CONCLUSIONS: The number of HRDs did not influence either functional or anatomic outcomes. DEX implant significantly decreases the number of eyes with ONL disruptions, which might improve retinal integrity.

Comparative study between fundus autofluorescence and red reflectance imaging of choroidal nevi using ultra-wide-field scanning laser ophthalmoscopy.

PURPOSE: To explore the utility of fundus autofluorescence (FAF) and red reflectance (RR) imaging using ultra-wide-field scanning laser ophthalmoscope in choroidal nevi. METHODS: Retrospective observational case study reviewing clinical data, color, FAF, and RR images of patients with choroidal nevi and comparing the findings. The ultra-wide-field scanning laser ophthalmoscope uses green laser 532 nm and red laser 633 nm that enabled FAF and RR imaging, respectively in separate channels. Superimposition of both images yielded a composite color image. RESULTS: The study included 46 eyes of 45 patients. Nevi were unilateral in 44 patients (98%). Forty-one nevi (89.1%) were located temporally between the macula and the equator. All nevi (100%) were deeply pigmented. The most frequent surface changes were lipofuscin pigments, zones of retinal pigment epithelium atrophy, and retinal pigment epithelium pigment clumps in 31 (67.3%), 18 (39.1%), and 8 eyes (17.3%), respectively. Color photographs were superior to FAF in detecting nevus boundaries and surface changes. Red reflectance correlated strongly with color images, although the nevus boundaries and surface changes were better delineated in RR mode. Red reflectance was superior to FAF in delineating the boundaries and surface changes of the nevus; clear visibility (3+) for RR versus no or poor visibility (0/1+) for FAF. Nevertheless, the areas of retinal pigment epithelium atrophy were better delineated in FAF mode; clear visibility (3+) for FAF versus poor visibility (1+) for FAF. CONCLUSION: Red reflectance imaging is more sensitive than conventional photography for follow-up of choroidal nevi. Fundus autofluorescence should be considered only as a complementary tool to RR imaging.

Endoresection technique with/without brachytherapy for management of high posterior choroidal melanoma: extended follow-up results.

PURPOSE: To evaluate the long-term efficacy and safety of endoresection for high posterior choroidal melanoma. METHODS: Retrospective nonrandomized interventional case series. Forty-one patients had endoresection as primary treatment for posterior choroidal melanoma. Of these, 21 patients had adjuvant brachytherapy. The inclusion criteria were tumor thickness ≥8 mm, base diameter <15 mm, and posterior tumors not extending anterior to the equator. Main outcomes measures were enucleation rate, visual outcome, surgical complications, local recurrence, metastasis, and mortality. RESULTS: Mean follow-up time was 102.5 months. Mean preoperative best-corrected visual acuity was 20/100. Mean tumor thickness was 9.8 mm (range, 7.7-13.5 mm; standard deviation, 1.7 mm), mean base diameter was 9.9 mm (range, 5-15 mm; standard deviation, 2.8 mm). At the latest visit, 36 patients (87.8%) still retained the eye. Mean postoperative best-corrected visual acuity was 20/1,625. Retinal detachment was the main postoperative complication (28.9%). At completion of follow-up, 12% of patients had phthisis bulbi, and 3 developed chronic hypotony. Five patients (12.2%) had local tumor recurrence; none of them had received brachytherapy as initial treatment. At 5 years of follow-up, 3 patients (7.3%) had liver metastasis. On Kaplan-Meier analysis at 10 years, all-cause mortality was 7.3% and specific mortality because of melanoma was 2.4%. CONCLUSION: Endoresection of high posterior melanomas was not associated with a higher risk of metastasis, death, or local recurrence than other reported techniques used to treat similar melanomas.

Posterior Scleritis Associated with Late-Onset Takayasu Arteritis: A Case Report.

PURPOSE: To describe a rare case of posterior scleritis associated with late-onset Takayasu arteritis. METHODS: A case report of a 75-year-old female presenting with posterior scleritis, eventually diagnosed with late-onset Takayasu arteritis was described. Several medical evaluation visits were conducted, including ophthalmological and rheumatological follow-up. Multiple diagnostic tests were carried out, and the cornerstones of the treatment were corticosteroids and the IL-6 inhibitor tocilizumab. RESULTS: The patient was admitted to our hospital's emergency room with right unilateral eyelid edema, chemosis and red eye. She had previously experienced two episodes that were misdiagnosed as preseptal cellulitis. The presence of choroidal folds and the T sign on the ultrasound exam were highly suggestive of posterior scleritis. Later, the patient was diagnosed with Takayasu arteritis, a type of large vessel vasculitis. Treatment with steroids was started, which was later switched to IL-6 inhibitors to achieve better control of the systemic disease. CONCLUSION: Posterior scleritis is often misdiagnosed, necessitating high clinical suspicion. Multimodal diagnosis is important to establish an accurate diagnosis. Up to 34% of cases may be associated with a systemic disease. This is the first case described in the literature of posterior scleritis associated with late-onset Takayasu arteritis.

Artificial intelligence-based fluid quantification and associated visual outcomes in a real-world, multicentre neovascular age-related macular degeneration national database.

AIM: To explore associations between artificial intelligence (AI)-based fluid compartment quantifications and 12 months visual outcomes in OCT images from a real-world, multicentre, national cohort of naïve neovascular age-related macular degeneration (nAMD) treated eyes. METHODS: Demographics, visual acuity (VA), drug and number of injections data were collected using a validated web-based tool. Fluid compartment quantifications including intraretinal fluid (IRF), subretinal fluid (SRF) and pigment epithelial detachment (PED) in the fovea (1 mm), parafovea (3 mm) and perifovea (6 mm) were measured in nanoliters (nL) using a validated AI-tool. RESULTS: 452 naïve nAMD eyes presented a mean VA gain of +5.5 letters with a median of 7 injections over 12 months. Baseline foveal IRF associated poorer baseline (44.7 vs 63.4 letters) and final VA (52.1 vs 69.1), SRF better final VA (67.1 vs 59.0) and greater VA gains (+7.1 vs +1.9), and PED poorer baseline (48.8 vs 57.3) and final VA (55.1 vs 64.1). Predicted VA gains were greater for foveal SRF (+6.2 vs +0.6), parafoveal SRF (+6.9 vs +1.3), perifoveal SRF (+6.2 vs -0.1) and parafoveal IRF (+7.4 vs +3.6, all p<0.05). Fluid dynamics analysis revealed the greatest relative volume reduction for foveal SRF (-16.4 nL, -86.8%), followed by IRF (-17.2 nL, -84.7%) and PED (-19.1 nL, -28.6%). Subgroup analysis showed greater reductions in eyes with higher number of injections. CONCLUSION: This real-world study describes an AI-based analysis of fluid dynamics and defines baseline OCT-based patient profiles that associate 12-month visual outcomes in a large cohort of treated naïve nAMD eyes nationwide.

AIROGS: Artificial Intelligence for Robust Glaucoma Screening Challenge.

The early detection of glaucoma is essential in preventing visual impairment. Artificial intelligence (AI) can be used to analyze color fundus photographs (CFPs) in a cost-effective manner, making glaucoma screening more accessible. While AI models for glaucoma screening from CFPs have shown promising results in laboratory settings, their performance decreases significantly in real-world scenarios due to the presence of out-of-distribution and low-quality images. To address this issue, we propose the Artificial Intelligence for Robust Glaucoma Screening (AIROGS) challenge. This challenge includes a large dataset of around 113,000 images from about 60,000 patients and 500 different screening centers, and encourages the development of algorithms that are robust to ungradable and unexpected input data. We evaluated solutions from 14 teams in this paper and found that the best teams performed similarly to a set of 20 expert ophthalmologists and optometrists. The highest-scoring team achieved an area under the receiver operating characteristic curve of 0.99 (95% CI: 0.98-0.99) for detecting ungradable images on-the-fly. Additionally, many of the algorithms showed robust performance when tested on three other publicly available datasets. These results demonstrate the feasibility of robust AI-enabled glaucoma screening.

Macular Neovascularization Type Influence on Anti-VEGF Intravitreal Therapy Outcomes in Age-Related Macular Degeneration.

PURPOSE: To evaluate the influence of macular neovascularization (MNV) lesion type on 12-month clinical outcomes in treatment-naive eyes with neovascular age-related macular degeneration (nAMD) treated with anti-VEGF drugs nationwide. DESIGN: Multicenter national nAMD database observational study. SUBJECTS: One thousand six hundred six treatment-naive nAMD eyes (1330 patients) undergoing anti-VEGF therapy for 12 months nationwide. METHODS: Demographics, visual acuity (VA) in logarithm of the minimum angle of resolution letters, number of injections and visits were was collected using a validated web-based tool. Neovascular lesion phenotype was classified as type 1 (T1, n = 711), type 2 (T2, n = 505), type 3 (T3, n = 315), and aneurysmal type 1 (A-T1, n = 75), according to the new proposed consensus classification. MAIN OUTCOME MEASURES: Mean VA change at 12 months, final VA at 12 months, number of injections, time to lesion inactivation. RESULTS: A total of 1606 treatment-naive nAMD eyes (1330 patients) received a median of 7 injections over 12 months. Mean (± standard deviation) baseline VA was significantly lower for T2 (49.4 ± 23.5 letters) compared with T1 (57.8 ± 20.8) and T3 (58.2 ± 19.4) (both P < 0.05) lesions. Mean VA change at 12 months was significantly greater for A-T1 (+9.5 letters) compared with T3 (+3.1 letters, P < 0.05). Patients with T3 lesions had fewer active visits (24.9%) than those with other lesion types (T1, 30.5%; T2, 32.6%; A-T1, 27.5%; all P < 0.05). Aflibercept was the most used drug in A-T1 lesions (70.1%) and ranibizumab in T1 (40.7%), T2 (57.7%), and T3 (47.6%) lesions. CONCLUSIONS: This study highlights the relevance of MNV type on clinical outcomes in nAMD and reports significant differences in baseline VA, VA change, and lesion activity at 12 months. This report provides data about lesion-specific clinical features, which may guide the management of nAMD cases and potentially support personalized clinical decision making for these patients. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Binary and multi-class automated detection of age-related macular degeneration using convolutional- and transformer-based architectures.

BACKGROUND AND OBJECTIVE: Age-related macular degeneration (AMD) is an eye disease that happens when ageing causes damage to the macula, and it is the leading cause of blindness in developed countries. Screening retinal fundus images allows ophthalmologists to early detect, diagnose and treat this disease; however, the manual interpretation of images is a time-consuming task. In this paper, we aim to study different deep learning methods to diagnose AMD. METHODS: We have conducted a thorough study of two families of deep learning models based on convolutional neural networks (CNN) and transformer architectures to automatically diagnose referable/non-referable AMD, and grade AMD severity scales (no AMD, early AMD, intermediate AMD, and advanced AMD). In addition, we have analysed several progressive resizing strategies and ensemble methods for convolutional-based architectures to further improve the performance of the models. RESULTS: As a first result, we have shown that transformer-based architectures obtain considerably worse results than convolutional-based architectures for diagnosing AMD. Moreover, we have built a model for diagnosing referable AMD that yielded a mean F1-score (SD) of 92.60% (0.47), a mean AUROC (SD) of 97.53% (0.40), and a mean weighted kappa coefficient (SD) of 85.28% (0.91); and an ensemble of models for grading AMD severity scales with a mean accuracy (SD) of 82.55% (2.92), and a mean weighted kappa coefficient (SD) of 84.76% (2.45). CONCLUSIONS: This work shows that working with convolutional based architectures is more suitable than using transformer based models for classifying and grading AMD from retinal fundus images. Furthermore, convolutional models can be improved by means of progressive resizing strategies and ensemble methods.

Retinal microvascular abnormalities in patients after COVID-19 depending on disease severity.

BACKGROUND: Global pandemic SARS-CoV-2 causes a prothrombotic state without fully elucidated effects. This study aims to analyse and quantify the possible retinal microvascular abnormalities. MATERIALS AND METHODS: Case-control study. Patients between 18 and 55 years old with PCR-confirmed SARS-CoV-2 infection within the last 3 months were included. RISK STRATIFICATION: group 1-mild disease (asymptomatic/paucisymptomatic); group 2-moderate disease (required hospital admission with no acute respiratory distress) and group 3-severe disease (subjects who developed an acute respiratory distress were admitted in the intensive care unit and presented interleukin 6 values above 40 pg/mL). Age-matched volunteers with negative serology tests were enrolled to control group. A colour photograph, an optical coherence tomography (OCT) and an angiography using OCT centred on the fovea were performed. RESULTS: Control group included 27 subjects: group 1 included 24 patients, group 2 consisted of 24 patients and 21 participants were recruited for group 3. There were no funduscopic lesions, neither in the colour images nor in the structural OCT. Fovea-centred vascular density (VD) was reduced in group 2 and group 3 compared with group 1 and control group (control group vs group 2; 16.92 vs 13.37; p=0.009) (control group vs group 3; 16.92 vs .13.63; p=0.026) (group 1 vs group 2; 17.16 vs 13.37; p=0.006) (group 1 vs group 3; 17.16 vs 13.63 p=0.017). CONCLUSION: Patients with moderate and severe SARS-CoV-2 pneumonia had decreased central retinal VD as compared with that of asymptomatic/paucisymptomatic cases or control subjects.

Persistent reduction of retinal microvascular vessel density in patients with moderate and severe COVID-19 disease.

OBJECTIVE: This study aims to analyse the possible recovery or worsening in retinal microvasculature after 8 months in a previously studied COVID-19 cohort. METHODS AND ANALYSIS: A cross-sectional case-control study and a prospective longitudinal cohort study. Participants were the subjects of our previous study who re-enrolled for a new examination including a fundus photograph (retinography), an optical coherence tomography (OCT) scan and an OCT angiography. COVID-19 diagnosed patients were divided into three groups: group 1: mild disease, asymptomatic/paucisymptomatic subjects who received outpatient care; group 2: moderate disease and group 3: severe disease, both of which required hospital admission because of pneumonia. Statistical analyses were performed using SPSS software (V.23.0). Cross-sectional intergroup differences were analysed by means of analysis of variance for normally distributed variables and the Kruskal-Wallis test for non-normally distributed ones. In reference to the prospective part of the study (intragroup differences, baseline with 8-month comparison), a paired t-test was used for normally distributed data and Wilcoxon signed ranks sum for non-normally distributed data. RESULTS: The fovea-centered superficial and deep vascular densities were significantly diminished in severe cases compared with mild cases (p=0.004; p=0.003, respectively, for superficial and deep) and to controls (p=0.014; p=0.010), also in moderate cases to mild group (p=0.004; p=0.003) and to controls (p=0.012; p=0.024). In the longitudinal study, no significant statistical differences were found between baseline and 8-month follow-up vessel density values. CONCLUSION: We demonstrated persistent reduction in the central vascular area over time in patients with moderate and severe COVID-19.

Macular holes after rhegmatogenous retinal detachment repair: surgical management and functional outcome.

PURPOSE: To review the surgical management and functional outcome of macular holes (MHs) developing after rhegmatogenous retinal detachment repair. METHODS: Retrospective, interventional, noncomparative case series. Twenty patients with MH developing after rhegmatogenous retinal detachment repair were included. Pars plana vitrectomy with internal limiting membrane peeling and gas tamponade was performed. Macular attachment status and number of best-corrected visual acuity lines of improvement after MH repair were evaluated. RESULTS: The fovea had been detached in all eyes at the time of rhegmatogenous retinal detachment repair. Six MHs developed after scleral buckling surgery and 14 MHs after vitrectomy with an encircling band. In 5 of the 20 patients, ≥ 2 operations had been required to achieve retinal reapplication. The mean time to MH diagnosis was 38 weeks. Preoperative best-corrected visual acuity was ≤ 20/100 in all but one case. Single-operation MH closure rate was 100%, with a mean of 4 Early Treatment Diabetic Retinopathy Study lines of visual improvement (P < 0.001). Mean postoperative Snellen best-corrected visual acuity was 20/70 (± 0.15) (P < 0.001). CONCLUSION: In this small retrospective study, standard surgical treatment for idiopathic MH was effective in achieving anatomical closure of these secondary MHs, but visual acuity gain was limited by the previous macula-involving rhegmatogenous retinal detachment status.

Cell therapy with hiPSC-derived RPE cells and RPCs prevents visual function loss in a rat model of retinal degeneration.

Photoreceptor loss is the principal cause of blindness in retinal degenerative diseases (RDDs). Whereas some therapies exist for early stages of RDDs, no effective treatment is currently available for later stages, and once photoreceptors are lost, the only option to rescue vision is cell transplantation. With the use of the Royal College of Surgeons (RCS) rat model of retinal degeneration, we sought to determine whether combined transplantation of human-induced pluripotent stem cell (hiPSC)-derived retinal precursor cells (RPCs) and retinal pigment epithelial (RPE) cells was superior to RPE or RPC transplantation alone in preserving retinal from degeneration. hiPSC-derived RPCs and RPE cells expressing (GFP) were transplanted into the subretinal space of rats. In vivo monitoring showed that grafted cells survived 12 weeks in the subretinal space, and rats treated with RPE + RPC therapy exhibited better conservation of the outer nuclear layer (ONL) and visual response than RPE-treated or RPC-treated rats. Transplanted RPE cells integrated in the host RPE layer, whereas RPC mostly remained in the subretinal space, although a limited number of cells integrated in the ONL. In conclusion, the combined transplantation of hiPSC-derived RPE and RPCs is a potentially superior therapeutic approach to protect retina from degeneration in RDDs.

A Randomized Study of Nutritional Supplementation in Patients with Unilateral Wet Age-Related Macular Degeneration.

The purpose of this study is evaluate the efficacy and safety of medicinal products containing the original Age-Related Eye Disease group (AREDS) formulation at doses approved in Europe (EU, control group; n = 59) with a product that adds DHA, lutein, zeaxanthin, resveratrol and hydroxytyrosol to the formula (intervention group; n = 50). This was a multicenter, randomized, observer-blinded trial conducted in patients aged 50 years or older diagnosed with unilateral exudative Age related Macular Degeneration AMD. At month 12, the intervention did not have a significant differential effect on visual acuity compared with the control group, with an estimated treatment difference in Early Treatment Diabetic Retinopathy Study (ETDRS) of -1.63 (95% CI -0.83 to 4.09; p = 0.192). The intervention exhibited a significant and, in most cases, relevant effect in terms of a reduction in some inflammatory cytokines and a greater improvement in the fatty acid profile and serum lutein and zeaxantin concentration. In patients with unilateral wet AMD, the addition of lutein, zeaxanthin, resveratrol, hydroxytyrosol and DHA to the AREDS EU recommended doses in the short-term did not have a differential effect on visual acuity compared to a standard AREDS EU formula but, in addition to improving the fatty acid profile and increasing carotenoid serum levels, may provide a beneficial effect in improving the proinflammatory and proangiogenic profile of patients with AMD.

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

PURPOSE: To assess the performance of deep learning algorithms for different tasks in retinal fundus images: (1) detection of retinal fundus images versus optical coherence tomography (OCT) or other images, (2) evaluation of good quality retinal fundus images, (3) distinction between right eye (OD) and left eye (OS) retinal fundus images,(4) detection of age-related macular degeneration (AMD) and (5) detection of referable glaucomatous optic neuropathy (GON). PATIENTS AND METHODS: Five algorithms were designed. Retrospective study from a database of 306,302 images, Optretina's tagged dataset. Three different ophthalmologists, all retinal specialists, classified all images. The dataset was split per patient in a training (80%) and testing (20%) splits. Three different CNN architectures were employed, two of which were custom designed to minimize the number of parameters with minimal impact on its accuracy. Main outcome measure was area under the curve (AUC) with accuracy, sensitivity and specificity. RESULTS: Determination of retinal fundus image had AUC of 0.979 with an accuracy of 96% (sensitivity 97.7%, specificity 92.4%). Determination of good quality retinal fundus image had AUC of 0.947, accuracy 91.8% (sensitivity 96.9%, specificity 81.8%). Algorithm for OD/OS had AUC 0.989, accuracy 97.4%. AMD had AUC of 0.936, accuracy 86.3% (sensitivity 90.2% specificity 82.5%), GON had AUC of 0.863, accuracy 80.2% (sensitivity 76.8%, specificity 83.8%). CONCLUSION: Deep learning algorithms can differentiate a retinal fundus image from other images. Algorithms can evaluate the quality of an image, discriminate between right or left eye and detect the presence of AMD and GON with a high level of accuracy, sensitivity and specificity.