A Pandemic Innovation: Student-Led Model to Increase Accessibility to Educational and Mentorship Opportunities.

The Canadian Ophthalmology Student Interest Group (COSIG) is the first national medical student-led specialty interest group in Canada. COSIG has run several initiatives aimed at increasing students' opportunities for ophthalmology exposure and learning, including a resident-medical student mentorship program, an annual 6-week introductory course, amongst other events, and webinars.

The Role of Blood Oxygen Level Dependent Signal Variability in Pediatric Neuroscience: A Systematic Review.

BACKGROUND: As pediatric BOLD Signal Variability (SV) analysis is relatively novel, there is a need to provide a foundational framework that gives researchers an entry point into engaging with the topic. This begins with clarifying the definition of BOLD signal variability by identifying and categorizing the various metrics utilized to measure BOLD SV. METHODS: A systematic review of the literature was conducted. Inclusion criteria were restricted to studies utilizing any metric of BOLD SV and with individuals younger than 18 in the study population. The definition of BOLD SV was any measure of intra-individual variability in the BOLD signal. Five databases were searched: Psychinfo, Healthstar, MEDLINE, Embase, and Scopus. RESULTS: A total of 17 observational studies, including male (n = 1796) and female (n = 1324) pediatric participants were included. Eight studies quantified variability as the amount of deviation from the average BOLD signal, seven used complexity-based metrics, three used correlation measures of variability, and one used the structure of the hemodynamic response function. In this study, 10 methods of quantifying signal variability were identified. Associations and trends in BOLD SV were commonly found with age, factors specific to mental and/or neurological disorders such as attention deficit disorder, epilepsy, psychotic symptoms, and performance on psychological and behavioral tasks. CONCLUSIONS: BOLD SV is a potential biomarker of neurodevelopmental and neurological conditions and symptom severity in mental disorders for defined pediatric populations. Studies that establish clinical trends and identify the mechanisms underlying BOLD SV with a low risk of bias are needed before clinical applications can be utilized by physicians.

Impact on caregivers of patients with eye diseases: systematic review and meta-analysis.

OBJECTIVE: The burden on caregivers of patients with eye disease is exacerbated by competing priorities and their own advancing age. The objective of this paper is to identify and characterize the burden of caregiving for patients with eye diseases. DESIGN: Systematic review and meta-analysis. METHODS: A comprehensive review of the literature was conducted accessing the main databases up to March 25, 2021: Medline (Ovid), Embase, CINAHL, Cochrane Library, PsycINFO, and PubMed. Studies included referred to the burden experienced by caregivers of adults with any eye disease. Review studies, editorials, commentaries, opinion studies, and single case reports were excluded as well as studies that described only the quality of life and (or) burdens of the care recipient. Two independent reviewers carried 2-level screening. Risk of bias assessment was determined according to the Modified Downs and Black Checklist. Demographic data and measures of burden were extracted and tabulated. RESULTS: In total, 2421 articles were identified after duplicate removal; 17 progressed to data extraction after full-text screening, and 7 were included in the meta-analysis. Overall, caregiving was associated with significant burden (65%; 95% CI, 12%-17%). Meta-analysis indicated significant severe burden (24%; 95% CI, 3%-45%), moderate burden (18%; 95% CI, 9%-28%), and mild burden (34%; 95% CI, 7%-61%) on caregivers of visually impaired patients. CONCLUSIONS: Awareness of the psychosocial impact and risk of severe burden experienced by caregivers of eye disease patients is required to aid health care providers to develop proactive interventions for both providers and recipients of care.

Current uses of artificial intelligence in the analysis of biofluid markers involved in corneal and ocular surface diseases: a systematic review.

Corneal and ocular surface diseases (OSDs) carry significant psychosocial and economic burden worldwide. We set out to review the literature on the application of artificial intelligence (AI) and bioinformatics for analysis of biofluid biomarkers in corneal and OSDs and evaluate their utility in clinical decision making. MEDLINE, EMBASE, Cochrane and Web of Science were systematically queried for articles using AI or bioinformatics methodology in corneal and OSDs and examining biofluids from inception to August 2021. In total, 10,264 articles were screened, and 23 articles consisting of 1058 individuals were included. Using various AI/bioinformatics tools, changes in certain tear film cytokines that are proinflammatory such as increased expression of apolipoprotein, haptoglobin, annexin 1, S100A8, S100A9, Glutathione S-transferase, and decreased expression of supportive tear film components such as lipocalin-1, prolactin inducible protein, lysozyme C, lactotransferrin, cystatin S, and mammaglobin-b, proline rich protein, were found to be correlated with pathogenesis and/or treatment outcomes of dry eye, keratoconus, meibomian gland dysfunction, and Sjögren's. Overall, most AI/bioinformatics tools were used to classify biofluids into diseases subgroups, distinguish between OSD, identify risk factors, or make predictions about treatment response, and/or prognosis. To conclude, AI models such as artificial neural networks, hierarchical clustering, random forest, etc., in conjunction with proteomic or metabolomic profiling using bioinformatics tools such as Gene Ontology or Kyoto Encylopedia of Genes and Genomes pathway analysis, were found to inform biomarker discovery, distinguish between OSDs, help define subgroups with OSDs and make predictions about treatment response in a clinical setting.

Psychological Impact of Caregiving for Children With Eye Diseases: A Systematic Review and Meta-analysis.

PURPOSE: To identify and characterize the psychological impact of caregiving for children with eye disease. Awareness of the caregiving experience and insight into the factors related to caregiver burden is necessary to support high-quality ophthalmic care and develop supportive interventions. METHODS: The databases MEDLINE (Ovid), CINAHL, EMBASE, Cochrane Library, PsychINFO, PubMed, and Google Scholar were queried up to June 25, 2021. Studies included assessed the psychological impact of providing care to children with eye diseases. A risk of bias assessment was performed according to the Modified Downs and Black Checklist. Demographic data and measures of burden were extracted and tabulated. RESULTS: A total of 2,823 articles were screened, 28 underwent data extraction, and 7 were included in the meta-analysis. The meta-analysis indicated significant levels of burden (40% mild, 95% CI: [0.28 to 0.53]; 59% moderate, 95% CI: [0.36 to 0.82]; 7% severe, 95% CI: [0.02 to 0.11]) and depression (26% mild, 95% CI: [0.17 to 0.35]; 8% moderate, 95% CI: [0.03 to 0.14]); 11% severe, 95% CI:[0.03 to 0.10]). Interventions such as educational programs, life skills training programs, and other home-based early intervention programs were shown to improve psychological well-being of families. CONCLUSIONS: Caregivers experience significant levels of burden and depression, which may, in turn, affect the level of ophthalmic care they can provide for their children. Further studies investigating educational or psychological interventions for parents are needed, because the small number of studies that investigated these types of interventions have reported reduced parental stress and improved well-being. [J Pediatr Ophthalmol Strabismus. 2023;60(4):238-247.].

Emerging applications of bioinformatics and artificial intelligence in the analysis of biofluid markers involved in retinal occlusive diseases: a systematic review.

PURPOSE: To review the literature on the application of bioinformatics and artificial intelligence (AI) for analysis of biofluid biomarkers in retinal vein occlusion (RVO) and their potential utility in clinical decision-making. METHODS: We systematically searched MEDLINE, Embase, Cochrane, and Web of Science databases for articles reporting on AI or bioinformatics in RVO involving biofluids from inception to August 2021. Simple AI was categorized as logistics regressions of any type. Risk of bias was assessed using the Joanna Briggs Institute Critical Appraisal Tools. RESULTS: Among 10,264 studies screened, 14 eligible articles, encompassing 578 RVO patients, met the inclusion criteria. The use and reporting of AI and bioinformatics was heterogenous. Four articles performed proteomic analyses, two of which integrated AI tools such as discriminant analysis, probabilistic clustering, and string pathway analysis. A metabolomic study used AI tools for clustering, classification, and predictive modeling such as orthogonal partial least squares discriminant analysis. However, most studies used simple AI (n = 9). Vitreous humor sample levels of interleukin-6 (IL-6), vascular endothelial growth factor (VEGF), and aqueous humor levels of intercellular adhesion molecule-1 and IL-8 were implicated in the pathogenesis of branch RVO with macular edema. IL-6 and VEGF may predict visual acuity after intravitreal injections or vitrectomy, respectively. Metabolomics and Kyoto Encyclopedia of Genes and Genomes enrichment analysis identified the metabolic signature of central RVO to be related to lower aqueous humor concentration of carbohydrates and amino acids. Risk of bias was low or moderate for included studies. CONCLUSION: Bioinformatics has applications for analysis of proteomics and metabolomics present in biofluids in RVO with AI for clinical decision-making and advancing the future of RVO precision medicine. However, multiple limitations such as simple AI use, small sample volume, inconsistent feasibility of office-based sampling, lack of longitudinal follow-up, lack of sampling before and after RVO, and lack of healthy controls must be addressed in future studies.

Mapping of Structure-Function Age-Related Connectivity Changes on Cognition Using Multimodal MRI.

The relationship between age-related changes in brain structural connectivity (SC) and functional connectivity (FC) with cognition is not well understood. Furthermore, it is not clear whether cognition is represented via a similar spatial pattern of FC and SC or instead is mapped by distinct sets of distributed connectivity patterns. To this end, we used a longitudinal, within-subject, multimodal approach aiming to combine brain data from diffusion-weighted MRI (DW-MRI), and functional MRI (fMRI) with behavioral evaluation, to better understand how changes in FC and SC correlate with changes in cognition in a sample of older adults. FC and SC measures were derived from the multimodal scans acquired at two time points. Change in FC and SC was correlated with 13 behavioral measures of cognitive function using Partial Least Squares Correlation (PLSC). Two of the measures indicate an age-related change in cognition and the rest indicate baseline cognitive performance. FC and SC-cognition correlations were expressed across several cognitive measures, and numerous structural and functional cortical connections, mainly cingulo-opercular, dorsolateral prefrontal, somatosensory and motor, and temporo-parieto-occipital, contributed both positively and negatively to the brain-behavior relationship. Whole-brain FC and SC captured distinct and independent connections related to the cognitive measures. Overall, we examined age-related function-structure associations of the brain in a comprehensive and integrated manner, using a multimodal approach. We pointed out the behavioral relevance of age-related changes in FC and SC. Taken together, our results highlight that the heterogeneity in distributed FC and SC connectivity patterns provide unique information about the variable nature of healthy cognitive aging.

Ocular adverse effects of bladder medication: a systematic review.

BACKGROUND: With the ageing population, lower urinary tract symptoms are becoming more prevalent with an estimate that by 2025, 52 million adults in the USA will be affected. After lifestyle modifications fail to resolve symptoms, second-line therapy with medications is often recommended by both the European Association of Urology and the American Urological Association. Considering the vulnerability of older patients to co-morbidities, physicians must be more aware of adverse side effects. This study aims to identify a linkage between common overactive bladder and interstitial cystitis medication and adverse ocular symptoms. METHODS: A comprehensive literature search was conducted in MEDLINE, EMBASE, CINAHL, PsycInfo, and HealthSTAR alongside a grey literature search in clinicaltrials.gov to include all articles relating to bladder medication and vision-threatening loss. Covidence review software was utilised to conduct the systematic review. RESULTS: In total, 222 articles were screened, and 23 articles met the inclusion criteria. Comprehensive coverage of 10 available medications was analysed. All medications reported adverse vision effects stratified over 15 categories. The most common adverse effect was reported to be blurred vision (n = 12 studies). Mirabegron had the most number of adverse types of ocular symptoms that covered 6 categories. Cizolirthine Citrate and Elocatitol had the least amount of ocular side effects reported. From the total of 8459 patients that were treated for either overactive bladder syndrome or interstitial cystitis with oral medications, 422 reported adverse vision effects. CONCLUSIONS: This review suggests that ocular safety should be assessed in patients requiring systematic drug therapy in order to guide future research, focussing on long-term tolerability.

Branch retinal vein occlusion in a healthy young man following mRNA COVID-19 vaccination.

PURPOSE: To report a case of a branch retinal vein occlusion (BRVO) following mRNA COVID-19 vaccination. OBSERVATIONS: A 34-year-old healthy male presented with blurriness in the inferior visual field, intermittent photopsia, multiple retinal hemorrhages, dilated and tortuous retinal vessels, and cotton wools spots in the right eye. The clinical examination and ancillary tests confirmed the diagnosis of a right eye BRVO. The visual symptoms started 2 days following first dose COVID-19 vaccination with the BNT162b2 (Pfizer-BioNTech) mRNA vaccine. CONCLUSIONS AND IMPORTANCE: This is a rare case of BRVO in an otherwise healthy young man, presenting after vaccination for COVID-19 in the absence of other coagulable risk factors. As the literature on venous thrombosis after COVID-19 vaccinations remains sparse, it is critical to raise awareness that BRVO could be a vaccine-related thrombotic adverse event. We highlight that as more of the population is vaccinated, an increased incidence of BRVO may confirm the link to COVID-19 vaccination.