Vaccine-Associated Uveitis after COVID-19 Vaccination: Vaccine Adverse Event Reporting System Database Analysis.

PURPOSE: To assess the risk of vaccine-associated uveitis (VAU) after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccination and evaluate uveitis onset interval and clinical presentations in the patients. DESIGN: A retrospective study from December 11, 2020, to May 9, 2022, using the Centers for Disease Control and Prevention Vaccine Adverse Event Reporting System. PARTICIPANTS: Patients diagnosed with VAU after administration of BNT162b2 (Pfizer-BioNTech, Pfizer Inc/BioNTech SE), mRNA-1273 (Moderna, Moderna Therapeutics Inc), and Ad26.COV2.S (Janssen, Janssen Pharmaceuticals) vaccine worldwide. METHODS: A descriptive analysis of the demographics, clinical history, and presentation was performed. We evaluated the correlation among the 3 vaccines and continuous and categorical variables. A post hoc analysis was performed between uveitis onset interval after vaccination and age, dose, and vaccine type. Finally, a 30-day risk analysis for VAU onset postvaccination was performed. MAIN OUTCOME MEASURES: The estimated global crude reporting rate, observed to expected ratio of VAU in the United States, associated ocular and systemic presentations, and onset duration. RESULTS: A total of 1094 cases of VAU were reported from 40 countries with an estimated crude reporting rate (per million doses) of 0.57, 0.44, and 0.35 for BNT162b2, mRNA-1273, and Ad26.COV2.S, respectively. The observed to expected ratio of VAU was comparable for BNT162b2 (0.023), mRNA-1273 (0.025), and Ad26.COV2.S (0.027). Most cases of VAU were reported in patients who received BNT162b2 (n = 853, 77.97%). The mean age of patients with VAU was 46.24 ± 16.93 years, and 68.65% (n = 751) were women. Most cases were reported after the first dose (n = 452, 41.32%) and within the first week (n = 591, 54.02%) of the vaccination. The onset interval for VAU was significantly longer in patients who received mRNA-1273 (21.22 ± 42.74 days) compared with BNT162b2 (11.42 ± 23.16 days) and rAd26.COV2.S (12.69 ± 16.02 days) vaccines (P < 0.0001). The post hoc analysis revealed a significantly shorter interval of onset for the BNT162b2 compared with the mRNA 1273 vaccine (P < 0.0001). The 30-day risk analysis showed a significant difference among the 3 vaccines (P < 0.0001). CONCLUSIONS: The low crude reporting rate and observed to expected ratio suggest a low safety concern for VAU. This study provides insights into a possible temporal association between reported VAU events and SARS-CoV-2 vaccines; however, further investigations are required to delineate the associated immunological mechanisms.

Ocular manifestations of COVID-19 in pediatric patients.

The coronavirus disease-19 (COVID-19) infection may remain asymptomatic or may have several different presentations. Although this disease primarily affects the respiratory system, systemic manifestations affecting the gastrointestinal, cardiovascular, neurological, otorhinolaryngologic, and ophthalmic systems have been reported. Ophthalmic signs may be the first and only sign of COVID-19 infection in children. In the current narrative review, we report the ophthalmic manifestations of COVID-19 in the pediatric age cohort. We performed a comprehensive literature search for the publications on ophthalmic manifestations of COVID-19 in children between 1 March 2020 and 1 January 2022 and compiled the ophthalmic manifestations of this entity among the pediatric population. Conjunctivitis is the most common ophthalmic manifestation in children and can develop at any stage of the disease. Ophthalmic manifestations are seen more commonly in children with severe systemic disease. Long-term and indirect consequence of the COVID-19 disease is the rise of myopia among children. Ophthalmic signs may be the first and only sign of COVID-19 infection in children. Pediatricians, as well as ophthalmologists, must keep observing all children with COVID-19 closely for ophthalmic signs.

Herpetic Eye Disease After SARS-CoV-2 Vaccination: A CDC-VAERS Database Analysis.

PURPOSE: The aim of this study was to evaluate the cases of herpes simplex and zoster ophthalmicus after SARS-CoV-2 vaccination and assess the clinical presentations in patients. METHODS: A retrospective analysis of cases reported to the Centers for Disease Control and Prevention (CDC) Vaccine Adverse Event Reporting System (VAERS) between December 11, 2020, and July 1, 2022. Patients diagnosed with herpes simplex ophthalmicus (HSO) and herpes zoster ophthalmicus (HZO) after vaccination with BNT162b2 (Pfizer-BioNTech), mRNA-1273 (Moderna), and Ad26.COV2.S (Janssen) were included in the study. We performed a descriptive analysis of patient demographics, history, and ophthalmic and systemic clinical presentations. The correlations between vaccine type and continuous variables were assessed by the one-way analysis of variance test. In addition, we used the Pearson χ 2 test to assess the association between 3 vaccines and categorical variables. A post hoc analysis was performed between HSO and HZO onset intervals after vaccination, dose, and vaccine type. The 30-day risk analysis was also performed for HSO and HZO onset postvaccination using the reverse Kaplan-Meier analysis. RESULTS: A total of 1180 cases of HZO (983, 83.30%) and HSO (180, 15.25%) were reported. The mean age of patients with HZO and HSO was 59.02 ± 19.05 and 52.68 ± 17.83 years, respectively. Most of the cases of HZO (795, 80.87%) and HSO (131, 72.78%) were reported in patients who received BNT162b2. In the cohort, 63.28% and 65.56% diagnosed with HZO and HSO were women. About one third of HZO (36.52%) and HSO (35.56%) cases were reported after the first dose. More than half of the cases of HZO (61.34%) and HSO (64.45%) were reported within the first 2 weeks after vaccination. The estimated crude reporting rate (per million doses) in the United States was 0.25, 0.22, and 0.47 for BNT162b2, mRNA-1273, and Ad26.COV2.S, respectively. The onset interval for HZO was significantly shorter in patients who received BNT162b2 (20.51 ± 56.20 days, P = 0.030) compared with patients who received mRNA-1273 (36.56 ± 108.67 days) and Ad26.COV2.S (39.66 ± 60.15 days) vaccines. The 30-day risk analysis showed a significantly higher risk of HZO after BNT162b2 than the other 2 vaccines ( P = 0.011). CONCLUSIONS: The low crude reporting rate suggests that HZO and HSO after SARS-CoV-2 vaccination occur rarely. This study provides insights into the possible temporal association between reported HSO and HZO after SARS-CoV-2 vaccines; however, further investigations are required to delineate the possible underlying immunological mechanisms.

Vaccine-associated corneal graft rejection following SARS-CoV-2 vaccination: a CDC-VAERS database analysis.

PURPOSE: To evaluate the cases of corneal graft rejection following SARS-CoV-2 vaccination reported to Centers for Disease Control and Prevention Vaccine Adverse Event Reporting System. METHODS: A descriptive analysis of the demographics, clinical history and presentation was performed. We evaluated the correlation between the vaccines and duration of vaccine-associated graft rejection (VAR) onset following vaccination using a one-way analysis of variance test. A post hoc analysis was performed between VAR onset-interval following vaccination dose and vaccine type. Finally, a 30-day cumulative incidence analysis was performed to assess the risk of VAR in short term following different doses, vaccines and type of corneal transplantation. RESULTS: A total of 55 eyes of 46 patients were diagnosed with VAR following vaccination with BNT162b2 (73.91%) and mRNA-1273 (26.09%). The mean age of the patients was 62.76±15.83 years, and 28 (60.87%) were female. The patients diagnosed with VAR had undergone penetrating keratoplasty (61.82%), Descemet membrane endothelial keratoplasty (12.73%), descemet stripping endothelial keratoplasty (18.18%), anterior lamellar keratoplasty (3.64%) and corneal limbal allograft transplantation (1.82%). The mean time for VAR since penetrating and endothelial keratoplasty was 8.42±9.23 years and 4.18±4.40 years, respectively. 45.65% of the cases of VAR were reported after the second dose of vaccine. The duration of VAR onset was significantly shorter after the second dose compared with the first and booster doses (p=0.0165) and in patients who underwent endothelial keratoplasty compared with penetrating keratoplasty (p=0.041). CONCLUSIONS: This study outlines a possible temporal relationship between corneal graft rejection and SARS-CoV-2 vaccination. An earlier onset of VAR was observed in patients who had a history of endothelial keratoplasty and following the second dose of vaccination.

Glaucoma Cases Following SARS-CoV-2 Vaccination: A VAERS Database Analysis.

Background: To counter the rapidly spreading severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), global vaccination efforts were initiated in December 2020. We assess the risk of glaucoma following SARS-CoV-2 vaccination and evaluate its onset interval and clinical presentations in patients. Methods: We performed a retrospective analysis of the glaucoma cases reported to the Vaccine Adverse Event Reporting System (VAERS) database between 16 December 2020, and 30 April 2022. We assessed the crude reporting rate of glaucoma, clinical presentations, onset duration, and associated risk factors. Results: During this period, 161 glaucoma cases were reported, with crude reporting rates (per million doses) of 0.09, 0.06, and 0.07 for BNT162b2, mRNA-1273, and Ad26.COV2.S, respectively. The mean age of the patients was 60.41 ± 17.56 years, and 67.7% were women. More than half (56.6%) of the cases were reported within the first week of vaccination. The cumulative-incidence analysis showed a higher risk of glaucoma in patients who received the BNT162b2 vaccines compared with mRNA-1273 (p = 0.05). Conclusions: The incidence of glaucoma following vaccination with BNT162b2, mRNA-1273, or Ad26.COV2.S is extremely rare. Amongst the patients diagnosed with glaucoma, the onset interval of adverse events was shorter among those who received the BNT162b2 and rAd26.COV2.S vaccines compared with mRNA-1273. Most glaucoma cases were reported within the first week following vaccination in female patients and from the fifth to seventh decade. This study provides insights into the possible temporal association between reported glaucoma events and SARS-CoV-2 vaccines; however, further investigations are required to identify the potential causality link and pathological mechanisms.

Tracking mutational semantics of SARS-CoV-2 genomes.

Natural language processing (NLP) algorithms process linguistic data in order to discover the associated word semantics and develop models that can describe or even predict the latent meanings of the data. The applications of NLP become multi-fold while dealing with dynamic or temporally evolving datasets (e.g., historical literature). Biological datasets of genome-sequences are interesting since they are sequential as well as dynamic. Here we describe how SARS-CoV-2 genomes and mutations thereof can be processed using fundamental algorithms in NLP to reveal the characteristics and evolution of the virus. We demonstrate applicability of NLP in not only probing the temporal mutational signatures through dynamic topic modelling, but also in tracing the mutation-associations through tracing of semantic drift in genomic mutation records. Our approach also yields promising results in unfolding the mutational relevance to patient health status, thereby identifying putative signatures linked to known/highly speculated mutations of concern.

Virtual Residency Interviews during the COVID-19 Pandemic: The Applicant's Perspective.

OBJECTIVES: The coronavirus disease 2019 (COVID-19) pandemic has had a profound impact on medical education at all levels, particularly on applicants applying to residency programs. The objective of the study was to gain a comprehensive understanding of applicants' perspectives on virtual interviews in the setting of the COVID-19 pandemic. METHODS: We conducted a quantitative survey and a qualitative study between March and April 2021. The link to an anonymous online survey was emailed to fourth-year medical students from one allopathic medical school. The survey link also was posted on the social media page of one allopathic medical school and one osteopathic medical school. Participants were then invited to participate in a follow-up 15- to 45-minute qualitative virtual interview. RESULTS: A total of 46 participants completed the survey, with a response rate of approximately 29.1%. The most beneficial aspect of the virtual interview was saving money on travel (31, 78.39%). In contrast, the least beneficial aspect of the virtual interview was the inability to personally explore the culture of the program (16, 34.78%), followed by the inability to explore the city and surrounding area (11, 23.91%). Thematic saturation was reached after interviewing 14 participants over Zoom. Four major themes of the virtual residency interview experience were discussed: virtual interviews offered many advantages, virtual interviews posed unique challenges, residency programs need more organizational improvements, and virtual specific preparations are needed. CONCLUSIONS: Despite the challenges associated with the virtual interview process, applicants rated the overall virtual interview experience positively. Given the continued impact of COVID-19 on medical education, the majority of residency programs will elect to continue virtual interviews for the 2022 Electronic Residency Application Services cycle. We hope that our findings may provide insight into the applicant's perspective on the virtual interview experience and help optimize virtual interviews for future cycles.

Can machines learn the mutation signatures of SARS-CoV-2 and enable viral-genotype guided predictive prognosis?

MOTIVATION: Continuous emergence of new variants through appearance/accumulation/disappearance of mutations is a hallmark of many viral diseases. SARS-CoV-2 variants have particularly exerted tremendous pressure on global healthcare system owing to their life threatening and debilitating implications. The sheer plurality of variants and huge scale of genomic data have added to the challenges of tracing the mutations/variants and their relationship to infection severity (if any). RESULTS: We explored the suitability of virus-genotype guided machine-learning in infection prognosis and identification of features/mutations-of-interest. Total 199,519 outcome-traced genomes, representing 45,625 nucleotide-mutations, were employed. Among these, post data-cleaning, Low and High severity genomes were classified using an integrated model (employing virus genotype, epitopic-influence and patient-age) with consistently high ROC-AUC (Asia:0.97 ± 0.01, Europe:0.94 ± 0.01, N.America:0.92 ± 0.02, Africa:0.94 ± 0.07, S.America:0.93 ± 03). Although virus-genotype alone could enable high predictivity (0.97 ± 0.01, 0.89 ± 0.02, 0.86 ± 0.04, 0.95 ± 0.06, 0.9 ± 0.04), the performance was not found to be consistent and the models for a few geographies displayed significant improvement in predictivity when the influence of age and/or epitope was incorporated with virus-genotype (Wilcoxon p_BH < 0.05). Neither age or epitopic-influence or clade information could out-perform the integrated features. A sparse model (6 features), developed using patient-age and epitopic-influence of the mutations, performed reasonably well (>0.87 ± 0.03, 0.91 ± 0.01, 0.87 ± 0.03, 0.84 ± 0.08, 0.89 ± 0.05). High-performance models were employed for inferring the important mutations-of-interest using Shapley Additive exPlanations (SHAP). The changes in HLA interactions of the mutated epitopes of reference SARS-CoV-2 were then subsequently probed. Notably, we also describe the significance of a 'temporal-modeling approach' to benchmark the models linked with continuously evolving pathogens. We conclude that while machine learning can play a vital role in identifying relevant mutations and factors driving the severity, caution should be exercised in using the genotypic signatures for predictive prognosis.

Current challenges in different approaches to control COVID-19: a comprehensive review.

Background: The World Health Organization declared the outbreak of the novel coronavirus (COVID-19) as a global health emergency on January 30, 2020, and as a pandemic disease on March 11, 2020. This review highlights the international situation, risk factors, and related protections to be taken as prerequisite measures and probable treatment options for the COVID-19-infected population in the current scenario. Main text: The SARS-CoV-2 viruses and their variants caused mild-to-severe respiratory tract infection and used airborne pathways as a way of contagion. Human-to-human transmission led to an exponential growth in the rise in the number of cases making it a real burden to immobilize the rapid spread of the virus while asymptomatic patients created ambiguity for confirmation in the community. It was clear from the case studies of patients that most of them were asymptomatic but still vulnerable to the people around, and hence, in a flash, many countries around the globe went into a complete lockdown, influencing the economy and thrashing industrial outputs. On the other hand, numerous researches were made to counteract the spread through studies in antiviral therapy, immune-based therapy, vaccination development, and natural remedies. Conclusion: Although exploration for a specific drug required for the COVID-19 treatment is under extensive research worldwide and some of them are in clinical trial now. Virtual drug library screening is one of the current techniques for repurposing accessible compounds. This review could provide beneficial information about the potential current and future treatment strategies to treat the pandemic COVID-19 infection.