Purpose of review The aim of this article is to assess the current state of teleophthalmology given the sudden surge in telemedicine demand in response to the novel coronavirus 2019 (COVID-19). Recent findings Recommendations and policies from government and national health organizations, combined with social distancing, have led to exponential increases in telemedicine use. Teleophthalmology can be integrated into ophthalmic care delivery. In the emergency room, teleophthalmology can be utilized to triage patients and diagnose common ophthalmic eye diseases. Ophthalmology practices can utilize real-time medicine to conduct many parts of an in-person exam. In cases where more complex diagnostic tools are warranted, a model incorporating telemedicine and focused in-person visits may still be beneficial. Innovative technologies emerging in the market allow for increased remote monitoring, screening, and management of adult and pediatric patients for common eye diseases. Summary COVID-19 created a demand for healthcare delivery that limits in-person examination and potential viral exposure. Teleophthalmology allows ophthalmologists to continue caring for patients while keeping physicians and patients safe. Although challenges still exist, the pandemic has accelerated the adoption of teleophthalmology. As a result, teleophthalmology will play an integral role in providing high-quality efficient care in the near future.

Alkali exposure dramatically changes the PC profile of cornea. Our data are consistent with penetration and hydrolysis as stochastic contributors to changes in PCs due to exposure to alkali for a finite duration and amount.

ImportanceDiverse enrollment and adequate representation of racial and ethnic minority groups in randomized clinical trials (RCTs) are valuable to ensure external validity and applicability of results.ObjectiveTo compare the distribution of race and ethnicity in RCTs of diabetic macular edema (DME) and macular edema from retinal vein occlusion (RVO) to that of US Census data.Design, Setting, and ParticipantsThis was a cross-sectional retrospective analysis comparing racial and ethnic demographic characteristics of US-based RCTs of DME and RVO between 2004 and 2020 with 2010 US Census data. PubMed and ClinicalTrials.gov were searched to screen for completed phase 3 RCTs with published results. Of 169 trials screened, 146 were excluded because they were incomplete, did not report race and ethnicity, or were not based in the US, and 23 trials were included (15 DME and 8 RVO). The number and percentage of American Indian or Alaska Native, Asian, Black, Hispanic, Native Hawaiian or Other Pacific Islander, and White participants was recorded in each RCT. The demographic distribution and proportion was compared to the reported distribution and proportion in the 2010 US Census using the χ2 test.Main Outcomes and MeasuresOverrepresentation, underrepresentation, or representation commensurate with 2010 US Census data in the racial and ethnic populations of RCTs of retinal vascular disease.ResultsIn 23 included RCTs of DME and RVO, there were a total of 38 participants (0.4%) who identified as American Indian or Alaska Native and Native Hawaiian or Other Pacific Islander (groups combined owing to small numbers), 415 Asian participants (4.4%), 904 Black participants (9.6%), 954 Hispanic participants (10.1%), and 7613 White participants (80.4%). By comparison, the 2010 US Census data indicated that 1.1% of the US population self-reported as American Indian or Alaska Native and Native Hawaiian or Other Pacific Islander (groups combined for comparison in this study), 4.8% self-reported as Asian, 12.6% as Black or African American, 16.3% as Hispanic, and 63.7% as White. American Indian or Alaska Native and Hawaiian or Other Pacific Islander participants were underrepresented in 2 trials, neither overrepresented nor underrepresented in 20, and not overrepresented in any of the included trials. Asian participants were underrepresented in 10 trials, overrepresented in 4, and neither overrepresented nor underrepresented in 8. Black participants were underrepresented in 9 trials, overrepresented in 2, and neither overrepresented nor underrepresented in 11. Hispanic participants were underrepresented in 15 trials, overrepresented in 2, and neither overrepresented nor underrepresented in 5. White participants were underrepresented in 2 trials, overrepresented in 14, and neither overrepresented nor underrepresented in 7. The χ2 values comparing RCT demographic distribution to US 2010 Census data were significantly different in 22 of 23 included RCTs.Conclusions and RelevanceThe findings in this study indicated a discrepancy between racial and ethnic demographic data in RCTs of DME and RVO and the US population according to the 2010 Census. White study participants were most frequently overrepresented, and Hispanic study participants were most frequently underrepresented. These findings support the need for more efforts to recruit underrepresented racial and ethnic minorities to improve external validity in trial findings.

Dry eye and glaucoma are two frequently encountered ocular conditions, which can lead to substantial morbidity and decreased quality of life. Patients on topical glaucoma medications are known to be at greater risk for ocular surface symptoms. Veterans seen in the eye clinics at the Miami Veterans Affairs Hospital from January to July 2016 completed surveys assessing dry eye and ocular pain symptoms, including the five item Dry Eye Questionnaire (DEQ5). A total of 62 patients with glaucoma completed the survey. Of those, 52 were on glaucoma medications at the time of the survey, with the majority requiring more than one medication to control intraocular pressure. The frequency of mild or greater dry eye symptoms (defined as DEQ5 >6) tended to increase with increasing medication burden, and patients on brimonidine were more likely to report a DEQ5 >6. Patients on three or more glaucoma medications were more likely to report symptoms of shooting pain, dryness, and itchiness. Patients using timolol were more likely to report throbbing and pain by light, while those on latanoprost reported stinging. Our data support an association between increasing number of glaucoma medications and worsening of dry eye symptoms. Patient and medication-associated symptoms can be used to tailor individual medication regimens.

Intake of saturated fat is a risk factor for ulcerative colitis (UC) and colon cancer. Changes in the microbiota have been implicated in the development of UC and colon cancer. The host and the microbiota generate metabolites that may contribute to or reflect disease pathogenesis. We used lipid class specific quantitative mass spectrometry to assess the phospholipid (PL) profile (phosphatidylcholine [PC], phosphatidylethanolamine [PE], phosphatidylinositol [PI], phosphatidylserine [PS]) of stool from mice fed a high fat (HFD) or control diet with or without induction of colitis-associated tumors using azoxymethane and dextran sodium sulfate. The microbiota was assessed using qPCR for several bacterial groups. Colitis-associated tumors were associated with reduced bulk PI and PE levels in control diet fed mice compared to untreated mice. Significant decreases in the relative quantities of several PC species were found in colitis-associated tumor bearing mice fed either diet. Statistical analysis of the PL profile revealed distinct clustering by treatment group. Partial least squares regression analysis found that the relative quantities of the PS class profile best predicted bacterial abundance of Clostridium leptum and Prevotella groups. Abundance of selected PL species correlated with bacterial group quantities. Thus, we have described that a HFD and colitis-associated tumors are associated with changes in phospholipids and may reflect host-microbial interactions and disease states.

ImportanceLanguage-learning model–based artificial intelligence (AI) chatbots are growing in popularity and have significant implications for both patient education and academia. Drawbacks of using AI chatbots in generating scientific abstracts and reference lists, including inaccurate content coming from hallucinations (ie, AI-generated output that deviates from its training data), have not been fully explored.ObjectiveTo evaluate and compare the quality of ophthalmic scientific abstracts and references generated by earlier and updated versions of a popular AI chatbot.Design, Setting, and ParticipantsThis cross-sectional comparative study used 2 versions of an AI chatbot to generate scientific abstracts and 10 references for clinical research questions across 7 ophthalmology subspecialties. The abstracts were graded by 2 authors using modified DISCERN criteria and performance evaluation scores.Main Outcome and MeasuresScores for the chatbot-generated abstracts were compared using the t test. Abstracts were also evaluated by 2 AI output detectors. A hallucination rate for unverifiable references generated by the earlier and updated versions of the chatbot was calculated and compared.ResultsThe mean modified AI-DISCERN scores for the chatbot-generated abstracts were 35.9 and 38.1 (maximum of 50) for the earlier and updated versions, respectively (P = .30). Using the 2 AI output detectors, the mean fake scores (with a score of 100% meaning generated by AI) for the earlier and updated chatbot-generated abstracts were 65.4% and 10.8%, respectively (P = .01), for one detector and were 69.5% and 42.7% (P = .17) for the second detector. The mean hallucination rates for nonverifiable references generated by the earlier and updated versions were 33% and 29% (P = .74).Conclusions and RelevanceBoth versions of the chatbot generated average-quality abstracts. There was a high hallucination rate of generating fake references, and caution should be used when using these AI resources for health education or academic purposes.

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Purpose: This work aims to assess the quality, accountability, readability, accessibility, and presence of Spanish translation in online material through a Google search of “macular degeneration”. Methods: In this retrospective cross-sectional analysis of website results from a Google search of “macular degeneration”, the quality and accountability for each website were assessed using the DISCERN criteria and the Health on the Net Foundation Code of Conduct (HONcode) principles. All 31 sites were independently graded by 2 ophthalmologists. Readability was evaluated using an online tool. The presence of accessibility features on the website and Spanish translation was recorded. The primary outcome measure was the DISCERN and HONcode quality and accountability scores of each website. Secondary outcome measures included the readability, accessibility, and presence of Spanish translation. Results: The mean ± SD of each criterion across all 15 DISCERN questions was 2.761 ± 0.666 (out of 5). The mean HONcode score for all websites was 7.355 ± 3.123. The mean consensus reading grade level was 10.258 ± 2.49. There were no statistically significant differences in any score between the top 5 websites and the bottom 26 websites evaluated. Accessibility was available on 10 of 31 websites. Spanish translation was available on 10 of 31 websites. Conclusions: The top 5 websites that appeared on a Google search did not have better quality or readability of online content. Improving quality, accountability, and readability can help improve patients’ health literacy regarding macular degeneration.