The impact of the pandemic highlights the urgent need for myopia guidelines: The clinicians' role.

Myopia is already one of the leading causes of permanent vision impairment, including blindness, and the COVID-19 pandemic has exacerbated the global myopia-related burden among children owing to home confinement, increased screen time (e-learning), and decreased outside activities. To reverse the rising trend of myopia and myopia-related blindness, collaborative efforts are required. There is a wealth of evidence-based medicine (EBM) data on the epidemiology of myopia and effective interventions, but very little has been published on the clinicians' roles and responsibilities. However, this aspect is critical because preventing the onset and progression of myopia necessitates extensive health promotion and advocacy efforts among decision-makers. Only broad medical expert collaboration can bring about the necessary changes in children's lifestyle and education. This article discusses clinicians' critical roles in preventing the onset and progression of myopia.

Acceptance and Perception of Artificial Intelligence Usability in Eye Care (APPRAISE) for Ophthalmologists: A Multinational Perspective.

Background: Many artificial intelligence (AI) studies have focused on development of AI models, novel techniques, and reporting guidelines. However, little is understood about clinicians' perspectives of AI applications in medical fields including ophthalmology, particularly in light of recent regulatory guidelines. The aim for this study was to evaluate the perspectives of ophthalmologists regarding AI in 4 major eye conditions: diabetic retinopathy (DR), glaucoma, age-related macular degeneration (AMD) and cataract. Methods: This was a multi-national survey of ophthalmologists between March 1st, 2020 to February 29th, 2021 disseminated via the major global ophthalmology societies. The survey was designed based on microsystem, mesosystem and macrosystem questions, and the software as a medical device (SaMD) regulatory framework chaired by the Food and Drug Administration (FDA). Factors associated with AI adoption for ophthalmology analyzed with multivariable logistic regression random forest machine learning. Results: One thousand one hundred seventy-six ophthalmologists from 70 countries participated with a response rate ranging from 78.8 to 85.8% per question. Ophthalmologists were more willing to use AI as clinical assistive tools (88.1%, n = 890/1,010) especially those with over 20 years' experience (OR 3.70, 95% CI: 1.10-12.5, p = 0.035), as compared to clinical decision support tools (78.8%, n = 796/1,010) or diagnostic tools (64.5%, n = 651). A majority of Ophthalmologists felt that AI is most relevant to DR (78.2%), followed by glaucoma (70.7%), AMD (66.8%), and cataract (51.4%) detection. Many participants were confident their roles will not be replaced (68.2%, n = 632/927), and felt COVID-19 catalyzed willingness to adopt AI (80.9%, n = 750/927). Common barriers to implementation include medical liability from errors (72.5%, n = 672/927) whereas enablers include improving access (94.5%, n = 876/927). Machine learning modeling predicted acceptance from participant demographics with moderate to high accuracy, and area under the receiver operating curves of 0.63-0.83. Conclusion: Ophthalmologists are receptive to adopting AI as assistive tools for DR, glaucoma, and AMD. Furthermore, ML is a useful method that can be applied to evaluate predictive factors on clinical qualitative questionnaires. This study outlines actionable insights for future research and facilitation interventions to drive adoption and operationalization of AI tools for Ophthalmology.

Acceptance and Perception of Artificial Intelligence Usability in Eye Care (APPRAISE) for Ophthalmologists: A Multinational Perspective

Background Many artificial intelligence (AI) studies have focused on development of AI models, novel techniques, and reporting guidelines. However, little is understood about clinicians' perspectives of AI applications in medical fields including ophthalmology, particularly in light of recent regulatory guidelines. The aim for this study was to evaluate the perspectives of ophthalmologists regarding AI in 4 major eye conditions: diabetic retinopathy (DR), glaucoma, age-related macular degeneration (AMD) and cataract. Methods This was a multi-national survey of ophthalmologists between March 1st, 2020 to February 29th, 2021 disseminated via the major global ophthalmology societies. The survey was designed based on microsystem, mesosystem and macrosystem questions, and the software as a medical device (SaMD) regulatory framework chaired by the Food and Drug Administration (FDA). Factors associated with AI adoption for ophthalmology analyzed with multivariable logistic regression random forest machine learning. Results One thousand one hundred seventy-six ophthalmologists from 70 countries participated with a response rate ranging from 78.8 to 85.8% per question. Ophthalmologists were more willing to use AI as clinical assistive tools (88.1%, n = 890/1,010) especially those with over 20 years' experience (OR 3.70, 95% CI: 1.10–12.5, p = 0.035), as compared to clinical decision support tools (78.8%, n = 796/1,010) or diagnostic tools (64.5%, n = 651). A majority of Ophthalmologists felt that AI is most relevant to DR (78.2%), followed by glaucoma (70.7%), AMD (66.8%), and cataract (51.4%) detection. Many participants were confident their roles will not be replaced (68.2%, n = 632/927), and felt COVID-19 catalyzed willingness to adopt AI (80.9%, n = 750/927). Common barriers to implementation include medical liability from errors (72.5%, n = 672/927) whereas enablers include improving access (94.5%, n = 876/927). Machine learning modeling predicted acceptance from participant demographics with moderate to high accuracy, and area under the receiver operating curves of 0.63–0.83. Conclusion Ophthalmologists are receptive to adopting AI as assistive tools for DR, glaucoma, and AMD. Furthermore, ML is a useful method that can be applied to evaluate predictive factors on clinical qualitative questionnaires. This study outlines actionable insights for future research and facilitation interventions to drive adoption and operationalization of AI tools for Ophthalmology.

The Association Between Environmental and Social Factors and Myopia: A Review of Evidence From COVID-19 Pandemic.

Purpose: To review the association between children's behavioral changes during the restriction due to the pandemic of Coronavirus disease (COVID-19) and the development and progression of myopia. Design: A literature review. Method: We looked for relevant studies related to 1) children's behavioral changes from COVID-19 restriction and 2) children's myopia progression during COVID-19 restriction by using the following keywords. They were "Behavior," "Activity," "COVID-19," "Lockdown," "Restriction," and "Children" for the former; "Myopia," "COVID-19," "Lockdown," "Restriction" for the latter. Titles, abstracts and full texts from the retrieved studies were screened and all relevant data were summarized, analyzed, and discussed. Results: Children were less active and more sedentary during COVID-19 restriction. According to five studies from China and six studies, each from Hong Kong, Spain, Israel, South Korea, Turkey and Taiwan included in our review, all countries without myopia preventive intervention supported the association between the lockdown and myopia progression by means of negative SER change ranging from 0.05-0.6 D, more negative SER change (compared post- to pre-lockdown) ranging from 0.71-0.98 D and more negative rate of SER changes (compared post- to pre-lockdown) ranging from 0.05-0.1 D/month. The reported factor that accelerated myopia is an increase in total near work, while increased outdoor activity is a protective factor against myopia progression. Conclusion: The pandemic of COVID-19 provided an unwanted opportunity to assess the effect of the behavioral changes and myopia in the real world. There is sufficient evidence to support the association between an increase in near work from home confinement or a reduction of outdoor activities and worsening of myopia during the COVID-19 lockdown. The findings from this review of data from the real world may help better understanding of myopia development and progression, which may lead to adjustment of behaviors to prevent myopia and its progression in the future.

Can a Set of Questions after Routine Cataract Surgery Predict Unexpected Findings and Avoid an Unnecessary Follow-Up Visit?

Background and Objectives: to evaluate whether a set of questions after a routine cataract surgery can predict unexpected findings and avoid an unnecessary follow-up visit. Materials and Methods: single-center, prospective, cohort study included 177 routine cataract surgery cases of two experienced surgeons between November 2019 and December 2020. Inclusion criteria included unremarkable postoperative day one follow-up examination. A set of seven questions regarding complaints with positive or negative answers was presented at the second follow-up visit (PV2)-one week (mean 8.34 ± 1.73 days) after the surgery. The outcome measures were the incidence of unexpected management changes (UMCs) at the PV2 visit (change or addition from a prescribed postoperative drop plan, extra procedures, an urgent referral to an ophthalmologist) and UMCs associations with the answers to a question set. Results: 81.4% of patients had no complaints about postoperative ocular status and answered with negative answers, 18.6% reported one or more complaint (positive answer): dissatisfaction with postoperative visual acuity (6.2%, 11 cases), eye pain (4.0%, 7 cases), increase in floaters after the surgery (4.0%, 7 cases), red eye (4.0%, 7 cases) and others. The prevalence of UMCs at PV2 was 1.7% (3 cases), of which 0.6% (1 case) was the prolonged antibiotic prescription due to conjunctivitis, 0.6% (1 case) was the addition of IOP lowering medication and 0.6% (1 case) was additional medication due to uveitis management. None of the complaints (positive answers) at PV2 were associated with the incidence of UMCs (p > 0.05). Conclusions: there were no associations of UMCs determined with positive answers to the questions. The prediction of UMCs incidence based on the positive answers was not obtained. Thus, we cannot exclude the necessity of a postoperative week one follow-up visit.

Low-concentration povidone-iodine for the prevention of intraocular infections in ophthalmic surgery.

PURPOSE OF REVIEW: Endophthamitis following intraocular surgery is rare using current antiseptic techniques, such as single application of 5% povidone-iodine to the ocular surface and adjuvant topical or intracameral antibiotics. Challenges remain, however, including increased multidrug-resistant bacterial endophthalmitis, increased fungal endophthalmitis, and the low but nonzero endophthalmitis rate attributable to the typical bacteria that colonize the ocular surface. RECENT FINDINGS: Povidone-iodine has a wide spectrum of activity, including activity against novel pathogens, such as SARS-CoV-2. Povidone-iodine alternatives, such as hypochlorous acid can have significantly less efficacy in vitro against endophthalmitis isolates. Repetitive application of dilute povidone-iodine has an excellent safety profile and strong evidence base for efficacy. SUMMARY: Povidone-iodine is widely available, inexpensive, and commonly used by ophthalmologists. The repetitive application of dilute povidone-iodine is a well studied, well tolerated, and efficacious way to transiently sterilize the ocular surface during intraocular surgery. Additional benefits include activity against multidrug-resistant bacteria, fungi, and lack of inducible resistance.

Wanda Blenska and the program of leprosy treatment in Uganda.

Wanda Blenska (1911-2014), a Polish physician, established a leprosy treatment center in the village of Buluba in Uganda in 1951, which lasted until 1993. Through her efforts, the village for lepers in Buluba, established in 1934, which had previously been a place of isolation conducted by the Little Sisters of St. Francis in Uganda, became such an important leprosy treatment and research center that eventually the facility was able to cooperate with similar centers in India and South Africa. It then became affiliated with research institutes in London and Amsterdam; the Borstel Research Institute near Hamburg, Germany; and the World Health Organization. Blenska developed a working relationship with the government of Uganda and contributed to changes in the government provision of health care for lepers by creating a network of leprosy treatment stations throughout the country. Through her efforts, public health education and leprosy prophylaxis became available for thousands of people, effectively changing the national attitude toward this disease. In 1994, one of the buildings of the St. Francis hospital complex in Buluba was named in her honor (The Wanda Blenska Training Centre).

Association of Country-wide Coronavirus Mortality with Demographics, Testing, Lockdowns, and Public Wearing of Masks.

We studied sources of variation between countries in per-capita mortality from COVID-19 (caused by the SARS-CoV-2 virus). Potential predictors of per-capita coronavirus-related mortality in 200 countries by May 9, 2020 were examined, including age, gender, obesity prevalence, temperature, urbanization, smoking, duration of the outbreak, lockdowns, viral testing, contact-tracing policies, and public mask-wearing norms and policies. Multivariable linear regression analysis was performed. In univariate analysis, the prevalence of smoking, per-capita gross domestic product, urbanization, and colder average country temperature were positively associated with coronavirus-related mortality. In a multivariable analysis of 196 countries, the duration of the outbreak in the country, and the proportion of the population aged 60 years or older were positively associated with per-capita mortality, whereas duration of mask-wearing by the public was negatively associated with mortality (all P < 0.001). Obesity and less stringent international travel restrictions were independently associated with mortality in a model which controlled for testing policy. Viral testing policies and levels were not associated with mortality. Internal lockdown was associated with a nonsignificant 2.4% reduction in mortality each week (P = 0.83). The association of contact-tracing policy with mortality was not statistically significant (P = 0.06). In countries with cultural norms or government policies supporting public mask-wearing, per-capita coronavirus mortality increased on average by just 16.2% each week, as compared with 61.9% each week in remaining countries. Societal norms and government policies supporting the wearing of masks by the public, as well as international travel controls, are independently associated with lower per-capita mortality from COVID-19.