Cognitive domains affected post-COVID-19; a systematic review and meta-analysis.

BACKGROUND AND PURPOSE: This review aims to characterize the pattern of post-COVID-19 cognitive impairment, allowing better prediction of impact on daily function to inform clinical management and rehabilitation. METHODS: A systematic review and meta-analysis of neurocognitive sequelae following COVID-19 was conducted, following PRISMA-S guidelines. Studies were included if they reported domain-specific cognitive assessment in patients with COVID-19 at >4 weeks post-infection. Studies were deemed high-quality if they had >40 participants, utilized healthy controls, had low attrition rates and mitigated for confounders. RESULTS: Five of the seven primary Diagnostic and Statistical Manual of Mental Disorders (DSM-5) cognitive domains were assessed by enough high-quality studies to facilitate meta-analysis. Medium effect sizes indicating impairment in patients post-COVID-19 versus controls were seen across executive function (standardised mean difference (SMD) -0.45), learning and memory (SMD -0.55), complex attention (SMD -0.54) and language (SMD -0.54), with perceptual motor function appearing to be impacted to a greater degree (SMD -0.70). A narrative synthesis of the 56 low-quality studies also suggested no obvious pattern of impairment. CONCLUSIONS: This review found moderate impairments across multiple domains of cognition in patients post-COVID-19, with no specific pattern. The reported literature was significantly heterogeneous, with a wide variety of cognitive tasks, small sample sizes and disparate initial disease severities limiting interpretability. The finding of consistent impairment across a range of cognitive tasks suggests broad, as opposed to domain-specific, brain dysfunction. Future studies should utilize a harmonized test battery to facilitate inter-study comparisons, whilst also accounting for the interactions between COVID-19, neurological sequelae and mental health, the interplay between which might explain cognitive impairment.

DIAGNOSTIC PATTERNS OF AGE-RELATED MACULAR DEGENERATION.

PURPOSE: To characterize prevalence estimates by race, age, sex, and comorbidity (diabetes and hypertension) within the Medicare beneficiary demographic. METHODS: In this US population-based retrospective cohort analysis, the Vision and Eye Health Surveillance System was analyzed for a 100% sample of Medicare Fee-For-Service beneficiary populations of Asians and non-Hispanic Whites between 2014 and 2018. Exclusionary criteria included beneficiaries younger than 40 years. Prevalence rate ratios, defined as prevalence rate for Asians divided by prevalence rate for non-Hispanic Whites, were calculated using multivariate negative binomial regression or Pearson-scaled Poisson regression, stratified by age, sex, and comorbidity. RESULTS: A total of 21,892,200 Medicare beneficiaries fulfilled the inclusionary criteria in 2018. Of the entire cohort, 3.2% of the beneficiaries (N = 714,500) were Asian. For beneficiaries aged 40 to 64 years, Asian male (prevalence rate ratios 1.73, 95% confidence interval 1.64-1.83, P < 0.0001) and female (prevalence rate ratios 1.34, 95% confidence interval 1.28-1.41, P < 0.0001) beneficiaries had an increased prevalence rate of all age-related macular degeneration relative to non-Hispanic Whites. Significant time-wise increases in prevalence rate ratios were observed within several age groups, sexes, and comorbidities (race-time interaction coefficients P < 0.05 ). CONCLUSION: This analysis highlights increased age-related macular degeneration prevalence estimates within the Asian American demographic relative to non-Hispanic Whites. Furthermore, specific Asian subpopulations are experiencing accelerated prevalence rates over time.

A qualitative framing analysis of how firearm manufacturers and related bodies communicate to the public on gun-related harms and solutions.

There is a growing understanding that the producers and sellers of harmful products directly and indirectly affect population health and policy, including through seeking to influence public understanding about the nature of harms and their solutions. However, the firearm industry and related organisations have not to date been the subject of this type of enquiry. This study sought to address this evidential gap through examining the ways in which the firearm industry and industry-associated organisations frame firearms, firearm-related harms and possible solutions to gun violence. This was a thematic qualitative documentary analysis of materials from 7 of the largest firearm manufacturers and associated organisations. Two authors independently extracted textual material from web articles, press releases, annual reports and shareholder communications between 1st April 2019 to 1st April 2020 (302 documents). A hybrid approach combining both deductive and inductive coding was adopted, guided by the literature on the commercial determinants of health and using NVivo version 12. The firearm industry and firearm industry-funded organisations use framings about the safety and role of guns, evidence on associated harms and solutions that align with the industry's business interests, consistent with evidence on other harmful product manufacturers. This study identified framing strategies employed by the firearm industry and related organisations. These included attempts to undermine evidence, linking regulation to a dystopian future, minimising some of the most common harms, placing the responsibility for harms on individuals, and attempting to foster a heightened sense of risk to personal safety.

Optic Nerve Sheath Meningiomas: A National Surveillance, Epidemiology, and End Results (SEER) Database Analysis.

BACKGROUND: Optic nerve sheath meningioma (ONSM) is a rare optic nerve cancer with considerable morbidity. This national analysis validates previously known ONSM concepts while providing insight into novel risk factors. METHODS: The Surveillance, Epidemiology, and End Results (SEER) Program was queried from 2000 to 2019 for all histologic subtypes of meningioma primary to the optic nerve. Relevant clinical and demographic variables were analyzed. Asymptotic one-sample test for binomial proportions and Cox proportional hazards modeling evaluated the significance of factor associations. RESULTS: A total of 51 ONSM cases were extracted. A greater proportion of cases were observed in females (N = 37, 73%, P < 0.001) and individuals with age 50 years or more (N = 29, 57%, P < 0.001); the mean number of months from diagnosis to treatment was 4.6 months (SD 4.1, range 13). Psychosocial epidemiologic parameter analysis demonstrated a greater proportion of patients with married status on diagnosis (N = 31, 61%, P < 0.001), listed total family income between $55,000 and $74,999 (N = 24, 47%, P < 0.001). Relative to cases diagnosed clinically only, cases diagnosed radiologically without microscopic confirmation experienced decreased all-cause mortality (HR = 0.041, P = 0.050). CONCLUSIONS: Our SEER national analysis affirms previously characterized ONSM concepts. Upon ONSM diagnosis and if needed, treatment protocols are not significantly delayed. Novel psychosocial factors for ONSM were identified, including marital status, total family income, and non-Hispanic white race. Additional ONSM diagnostics may reduce longitudinal mortality burden.

Characteristics of mesenteric adipose tissue attached to different intestinal segments and their roles in immune regulation.

Mesenteric adipose tissue (MAT) plays a critical role in the intestinal physiological ecosystems. Small and large intestines have evidently intrinsic and distinct characteristics. However, whether there exist any mesenteric differences adjacent to the small and large intestines (SMAT and LMAT) has not been properly characterized. We studied the important facets of these differences, such as morphology, gene expression, cell components, and immune regulation of MATs, to characterize the mesenteric differences. The SMAT and LMAT of mice were used for comparison of tissue morphology. Paired mesenteric samples were analyzed by RNA-seq to clarify gene expression profiles. MAT partial excision models were constructed to illustrate the immune regulation roles of MATs, and 16S-seq was applied to detect the subsequent effect on microbiota. Our data show that different segments of mesenteries have different morphological structures. SMAT not only has smaller adipocytes but also contains more fat-associated lymphoid clusters than LMAT. The gene expression profile is also discrepant between these two MATs in mice. B-cell markers were abundantly expressed in SMAT, whereas development-related genes were highly expressed in LMAT. Adipose-derived stem cells of LMAT exhibited higher adipogenic potential and lower proliferation rates than those of SMAT. In addition, SMAT and LMAT play different roles in immune regulation and subsequently affect microbiota components. Finally, our data clarified the described differences between SMAT and LMAT in humans. There were significant differences in cell morphology, gene expression profiles, cell components, biological characteristics, and immune and microbiota regulation roles between regional MATs.NEW & NOTEWORTHY Our results change the paradigm of how we regard MAT as a contiguous and homogeneous tissue to an intensely heterogeneous tissue. Appreciation of the differences between regional MATs will guide future research to investigate the specialized roles of different MATs in intestinal health and disease.

A fuzzy-enhanced deep learning approach for early detection of Covid-19 pneumonia from portable chest X-ray images.

The Covid-19 pandemic is the defining global health crisis of our time. Chest X-Rays (CXR) have been an important imaging modality for assisting in the diagnosis and management of hospitalised Covid-19 patients. However, their interpretation is time intensive for radiologists. Accurate computer aided systems can facilitate early diagnosis of Covid-19 and effective triaging. In this paper, we propose a fuzzy logic based deep learning (DL) approach to differentiate between CXR images of patients with Covid-19 pneumonia and with interstitial pneumonias not related to Covid-19. The developed model here, referred to as CovNNet, is used to extract some relevant features from CXR images, combined with fuzzy images generated by a fuzzy edge detection algorithm. Experimental results show that using a combination of CXR and fuzzy features, within a deep learning approach by developing a deep network inputed to a Multilayer Perceptron (MLP), results in a higher classification performance (accuracy rate up to 81%), compared to benchmark deep learning approaches. The approach has been validated through additional datasets which are continously generated due to the spread of the virus and would help triage patients in acute settings. A permutation analysis is carried out, and a simple occlusion methodology for explaining decisions is also proposed. The proposed pipeline can be easily embedded into present clinical decision support systems.

Neurology and neuropsychiatry of COVID-19: a systematic review and meta-analysis of the early literature reveals frequent CNS manifestations and key emerging narratives.

There is accumulating evidence of the neurological and neuropsychiatric features of infection with SARS-CoV-2. In this systematic review and meta-analysis, we aimed to describe the characteristics of the early literature and estimate point prevalences for neurological and neuropsychiatric manifestations.We searched MEDLINE, Embase, PsycINFO and CINAHL up to 18 July 2020 for randomised controlled trials, cohort studies, case-control studies, cross-sectional studies and case series. Studies reporting prevalences of neurological or neuropsychiatric symptoms were synthesised into meta-analyses to estimate pooled prevalence.13 292 records were screened by at least two authors to identify 215 included studies, of which there were 37 cohort studies, 15 case-control studies, 80 cross-sectional studies and 83 case series from 30 countries. 147 studies were included in the meta-analysis. The symptoms with the highest prevalence were anosmia (43.1% (95% CI 35.2% to 51.3%), n=15 975, 63 studies), weakness (40.0% (95% CI 27.9% to 53.5%), n=221, 3 studies), fatigue (37.8% (95% CI 31.6% to 44.4%), n=21 101, 67 studies), dysgeusia (37.2% (95% CI 29.8% to 45.3%), n=13 686, 52 studies), myalgia (25.1% (95% CI 19.8% to 31.3%), n=66 268, 76 studies), depression (23.0% (95% CI 11.8% to 40.2%), n=43 128, 10 studies), headache (20.7% (95% CI 16.1% to 26.1%), n=64 613, 84 studies), anxiety (15.9% (5.6% to 37.7%), n=42 566, 9 studies) and altered mental status (8.2% (95% CI 4.4% to 14.8%), n=49 326, 19 studies). Heterogeneity for most clinical manifestations was high.Neurological and neuropsychiatric symptoms of COVID-19 in the pandemic's early phase are varied and common. The neurological and psychiatric academic communities should develop systems to facilitate high-quality methodologies, including more rapid examination of the longitudinal course of neuropsychiatric complications of newly emerging diseases and their relationship to neuroimaging and inflammatory biomarkers.

Stroke Rates Following Surgical Versus Percutaneous Revascularization for Ischemic Heart Disease.

PURPOSE OF REVIEW: Coronary revascularization is a commonly performed major procedure in the hospitals. Stroke is one of the dreaded complications after coronary revascularization procedures. The focus of this review is to understand the stroke risk in percutaneous cutaneous intervention (PCI) and coronary artery bypass grafting (CABG) procedures. RECENT FINDINGS: Available data show that PCI offers less procedural stroke risk compared to CABG although the survival benefits of CABG are better in certain scenarios. Innovative advancements in techniques, pre-procedural optimum medical therapy (OMT), intraoperative neuro-monitoring, and multidisciplinary post procedural care are the few strategies in early detection and reduce stroke risk. Despite several innovations and strategies, it is evident that there is not enough data available to make concrete conclusions related to stroke risk after coronary revascularization, which warrants further investigation.

Artificial Intelligence-Enabled Analysis of Public Attitudes on Facebook and Twitter Toward COVID-19 Vaccines in the United Kingdom and the United States: Observational Study.

BACKGROUND: Global efforts toward the development and deployment of a vaccine for COVID-19 are rapidly advancing. To achieve herd immunity, widespread administration of vaccines is required, which necessitates significant cooperation from the general public. As such, it is crucial that governments and public health agencies understand public sentiments toward vaccines, which can help guide educational campaigns and other targeted policy interventions. OBJECTIVE: The aim of this study was to develop and apply an artificial intelligence-based approach to analyze public sentiments on social media in the United Kingdom and the United States toward COVID-19 vaccines to better understand the public attitude and concerns regarding COVID-19 vaccines. METHODS: Over 300,000 social media posts related to COVID-19 vaccines were extracted, including 23,571 Facebook posts from the United Kingdom and 144,864 from the United States, along with 40,268 tweets from the United Kingdom and 98,385 from the United States from March 1 to November 22, 2020. We used natural language processing and deep learning-based techniques to predict average sentiments, sentiment trends, and topics of discussion. These factors were analyzed longitudinally and geospatially, and manual reading of randomly selected posts on points of interest helped identify underlying themes and validated insights from the analysis. RESULTS: Overall averaged positive, negative, and neutral sentiments were at 58%, 22%, and 17% in the United Kingdom, compared to 56%, 24%, and 18% in the United States, respectively. Public optimism over vaccine development, effectiveness, and trials as well as concerns over their safety, economic viability, and corporation control were identified. We compared our findings to those of nationwide surveys in both countries and found them to correlate broadly. CONCLUSIONS: Artificial intelligence-enabled social media analysis should be considered for adoption by institutions and governments alongside surveys and other conventional methods of assessing public attitude. Such analyses could enable real-time assessment, at scale, of public confidence and trust in COVID-19 vaccines, help address the concerns of vaccine sceptics, and help develop more effective policies and communication strategies to maximize uptake.

Understanding Public Perceptions of COVID-19 Contact Tracing Apps: Artificial Intelligence-Enabled Social Media Analysis.

BACKGROUND: The emergence of SARS-CoV-2 in late 2019 and its subsequent spread worldwide continues to be a global health crisis. Many governments consider contact tracing of citizens through apps installed on mobile phones as a key mechanism to contain the spread of SARS-CoV-2. OBJECTIVE: In this study, we sought to explore the suitability of artificial intelligence (AI)-enabled social media analyses using Facebook and Twitter to understand public perceptions of COVID-19 contact tracing apps in the United Kingdom. METHODS: We extracted and analyzed over 10,000 relevant social media posts across an 8-month period, from March 1 to October 31, 2020. We used an initial filter with COVID-19-related keywords, which were predefined as part of an open Twitter-based COVID-19 dataset. We then applied a second filter using contract tracing app-related keywords and a geographical filter. We developed and utilized a hybrid, rule-based ensemble model, combining state-of-the-art lexicon rule-based and deep learning-based approaches. RESULTS: Overall, we observed 76% positive and 12% negative sentiments, with the majority of negative sentiments reported in the North of England. These sentiments varied over time, likely influenced by ongoing public debates around implementing app-based contact tracing by using a centralized model where data would be shared with the health service, compared with decentralized contact-tracing technology. CONCLUSIONS: Variations in sentiments corroborate with ongoing debates surrounding the information governance of health-related information. AI-enabled social media analysis of public attitudes in health care can help facilitate the implementation of effective public health campaigns.

Real-Time Artifacts Reduction during TMS-EEG Co-Registration: A Comprehensive Review on Technologies and Procedures.

Transcranial magnetic stimulation (TMS) excites neurons in the cortex, and neural activity can be simultaneously recorded using electroencephalography (EEG). However, TMS-evoked EEG potentials (TEPs) do not only reflect transcranial neural stimulation as they can be contaminated by artifacts. Over the last two decades, significant developments in EEG amplifiers, TMS-compatible technology, customized hardware and open source software have enabled researchers to develop approaches which can substantially reduce TMS-induced artifacts. In TMS-EEG experiments, various physiological and external occurrences have been identified and attempts have been made to minimize or remove them using online techniques. Despite these advances, technological issues and methodological constraints prevent straightforward recordings of early TEPs components. To the best of our knowledge, there is no review on both TMS-EEG artifacts and EEG technologies in the literature to-date. Our survey aims to provide an overview of research studies in this field over the last 40 years. We review TMS-EEG artifacts, their sources and their waveforms and present the state-of-the-art in EEG technologies and front-end characteristics. We also propose a synchronization toolbox for TMS-EEG laboratories. We then review subject preparation frameworks and online artifacts reduction maneuvers for improving data acquisition and conclude by outlining open challenges and future research directions in the field.

A Novel Coupled Reaction-Diffusion System for Explainable Gene Expression Profiling.

Machine learning (ML)-based algorithms are playing an important role in cancer diagnosis and are increasingly being used to aid clinical decision-making. However, these commonly operate as 'black boxes' and it is unclear how decisions are derived. Recently, techniques have been applied to help us understand how specific ML models work and explain the rational for outputs. This study aims to determine why a given type of cancer has a certain phenotypic characteristic. Cancer results in cellular dysregulation and a thorough consideration of cancer regulators is required. This would increase our understanding of the nature of the disease and help discover more effective diagnostic, prognostic, and treatment methods for a variety of cancer types and stages. Our study proposes a novel explainable analysis of potential biomarkers denoting tumorigenesis in non-small cell lung cancer. A number of these biomarkers are known to appear following various treatment pathways. An enhanced analysis is enabled through a novel mathematical formulation for the regulators of mRNA, the regulators of ncRNA, and the coupled mRNA-ncRNA regulators. Temporal gene expression profiles are approximated in a two-dimensional spatial domain for the transition states before converging to the stationary state, using a system comprised of coupled-reaction partial differential equations. Simulation experiments demonstrate that the proposed mathematical gene-expression profile represents a best fit for the population abundance of these oncogenes. In future, our proposed solution can lead to the development of alternative interpretable approaches, through the application of ML models to discover unknown dynamics in gene regulatory systems.

Use of a Discharge Educational Strategy Versus Standard Discharge Care on Reduction of Vascular Risk in Patients with Stroke and Transient Ischemic Attack.

PURPOSE OF THE REVIEW: The burden of ischemic stroke is disproportionally distributed between ethnic and racial subgroups in the USA, minority populations with lower socioeconomic status being at higher risk. These discrepancies are mirrored in susceptibility, primary care, and post-discharge procedures. Post-discharge strategies are of particular importance as their primary goal is to prevent recurrent stroke, which makes up about 25% of stroke cases per year in US. As disadvantaged minorities have faster growing populations, recurrent stroke poses a significant challenge not only for caretakers but also for the health care system as the whole. A number of educational strategies were employed to inform the general public of major symptoms, risk factors, and preventive measures for recurrent stroke. However, over affected subgroups did not prove responsive to such measures as these did not conform to their cultural and sociological specificities. RECENT FINDINGS: The Discharge Educational Strategies for Reduction of Vascular Events Intervention (DESERVE) is a randomized control trial with a one year follow up, set out to investigate the possibility that culturally tailored, community-centered post-discharge strategies would improve compliance to therapy and prevention against secondary stroke. The trial targeted African Americans, Hispanic, and non-Hispanic whites, adapting discharge strategies for each individual group. DESERVE accomplished a significant reduction in blood pressure in the Hispanic intervention group by 9.9 mm Hg compared with usual care. The remaining two groups were not susceptible to these measures. DESERVE holds promise for culturally tailored interventions in the future in a battle against stroke and other chronic diseases.

Randomized Controlled Trial of an Online Suicide Prevention Gatekeeper Training Program.

Background: Suicide prevention gatekeeper training programs offer a unique opportunity to increase knowledge about suicide prevention, enhance risk identification, and reduce suicide-related stigma. Aims: This study evaluated the efficacy of an online suicide prevention gatekeeper training program in a randomized trial. Method: Participants were US college students (N = 388). Participants (69.3% women) had a mean age of 19.01 years and identified primarily as Hispanic/Latinx (52.1%) and non-Hispanic White (22.4%). Participants completed pre- and posttest surveys and were randomly assigned to either the ASK About Suicide to Save a Life (AS + K?) suicide prevention gatekeeper training program or an information-only comparison intervention. Results: Participants in the AS + K? condition reported significantly greater gatekeeper preparedness and self-efficacy, and lower stigmatized attitudes at posttraining, as compared with those in the comparison condition. There were no significant differences in likelihood of using gatekeeper skills or suicide-related knowledge across groups. Limitations: This short-term study was not able to assess behavioral change resulting in use of gatekeeper skills over time. Conclusions: Completion of gatekeeper training resulted in increases in preparedness and self-efficacy for engaging in gatekeeper behaviors, as well as a reduction in suicide-related stigma. Despite small intervention effects, the online AS + K? training appears to be a promising program.

Impact of the Coronavirus Disease 2019 Pandemic on Surgical Volumes Among Fellowship-Trained Glaucoma Subspecialists.

PRCIS: The change in glaucoma surgical volumes due to the coronavirus disease 2019 pandemic was not uniform across procedure types and was unequal between rural and urban practice locations. PURPOSE: To quantify the impact of the coronavirus disease 2019 pandemic on surgical volumes performed by fellowship-trained glaucoma subspecialists. MATERIALS AND METHODS: This retrospective cohort analysis of the Centers for Medicare and Medicaid Services Medicare Public Use File extracted all glaucoma surgeries, including microinvasive glaucoma surgeries (MIGSs), trabeculectomy, goniotomy, lasers, and cataract surgery, performed by fellowship-trained glaucoma surgeons in rural and urban areas between 2016 and 2020. Predicted estimates of 2020 surgical volumes were created utilizing linear squares regression. Percentage change between predicted and observed 2020 surgical volume estimates was analyzed. Statistical significance was achieved at P <0.05. RESULTS: In 2020, fellowship-trained glaucoma surgeons operated mostly in urban areas (N = 810, 95%). A 29% and 31% decrease in predicted cataract surgery volumes in urban and rural areas, respectively, was observed. Glaucoma surgeries experienced a 36% decrease from predicted estimates (N = 56,781). MIGS experienced an 86% and 75% decrease in rural and urban areas, respectively. Trabeculectomy in rural areas experienced a 16% increase relative to predicted estimates while urban areas experienced a decrease of 3% ( P > 0.05). The number of goniotomies decreased by 10% more in rural areas than in urban areas (-22% and -12%, respectively). Laser procedures decreased by 8% more in urban areas than in rural areas (-18% and -10%, respectively). CONCLUSIONS: Among glaucoma-trained surgeons, glaucoma surgeries experienced a greater volume loss than cataract surgeries. In urban US areas, relative reductions in MIGS and goniotomy volumes in urban areas may have been compensated by greater laser and trabeculectomy volumes. Trabeculectomies in rural areas were the only group exceeding predicted estimates. Glaucoma subspecialists may utilize these findings when planning for future events and in overcoming any remaining unmet need in terms of glaucoma care.

Glaucoma Surgery Shifts Among Medicare Beneficiaries After 2022 Reimbursement Changes in the United States.

PRCIS: This study revealed the best-estimated surgical procedural counts for 2021 and 2022 and suggests a direct influence of coding and reimbursement changes on surgical device selection. PURPOSE: To analyze utilization rates of glaucoma surgeries and minimally invasive (microinvasive) glaucoma surgery among US Medicare beneficiaries between 2021 and 2022. DESIGN: Retrospective comparative analysis of 68,118 unique patients. METHODS: National claims data from a 5% sample of all Medicare beneficiaries were utilized to compare glaucoma procedure counts between the first quarter of 2021 and the first quarter of 2022. Duplicate claims were excluded, and 50 modifiers were counted as 2 distinct procedures. A multiplier was applied to estimate annual utilization for the entire Medicare population. χ 2 analysis was employed to compare categorical data from the 2 time periods. RESULTS: Current Procedural Terminology codes for angle-based stenting decreased by an estimated 20,960 procedures between 2021 and 2022 (28.60%). Goniotomy increased by an estimated 11,680 procedures (66.97%) and canaloplasty increased by an estimated 6640 procedures (47.43%). Glaucoma surgeries decreased by an estimated 5760 procedures (4.25%) despite an increase of cataract surgery by 234,960 procedures (15.63%), an increase in YAG capsulotomy by 19,280 procedures (3.31%), and an increase in intravitreal injections by 146,320 procedures (3.86%). CONCLUSION: Despite overall surgical volume increases among the ophthalmology procedures, angle-based stenting utilization decreased significantly with an accompanying trend change following the coding and reimbursement changes implemented in January 2022. Of the minimally invasive (microinvasive) glaucoma surgery procedures, goniotomy and canaloplasty counts increased the most between these periods. Trabeculectomy and glaucoma drainage device procedures continued to decrease, following well-established trends. Future studies are warranted to examine how these shifts in utilization may impact patient care outcomes.

Impact of the Covid-19 pandemic on audiology service delivery: Observational study of the role of social media in patient communication.

The Covid-19 pandemic has highlighted an era in hearing health care that necessitates a comprehensive rethinking of audiology service delivery. There has been a significant increase in the number of individuals with hearing loss who seek information online. An estimated 430 million individuals worldwide suffer from hearing loss, including 11 million in the United Kingdom. The objective of this study was to identify National Health Service (NHS) audiology service social media posts and understand how they were used to communicate service changes within audiology departments at the onset of the Covid-19 pandemic. Facebook and Twitter posts relating to audiology were extracted over a six week period (March 23 to April 30 2020) from the United Kingdom. We manually filtered the posts to remove those not directly linked to NHS audiology service communication. The extracted data was then geospatially mapped, and themes of interest were identified via a manual review. We also calculated interactions (likes, shares, comments) per post to determine the posts' efficacy. A total of 981 Facebook and 291 Twitter posts were initially mined using our keywords, and following filtration, 174 posts related to NHS audiology change of service were included for analysis. The results were then analysed geographically, along with an assessment of the interactions and sentiment analysis within the included posts. NHS Trusts and Boards should consider incorporating and promoting social media to communicate service changes. Users would be notified of service modifications in real-time, and different modalities could be used (e.g. videos), resulting in a more efficient service.

Rates of Laser Trabeculoplasty by Ophthalmologists and Optometrists: A Comparative Analysis of the CMS Medicare Public Use File.

Purpose: To provide a comparative analysis of rates of laser trabeculoplasty (LTP) among eye care providers in the USA. Methods: This retrospective cohort analysis utilized the Centers for Medicare and Medicaid Services (CMS) Public Use File (PUF), 2015-2018. We used CPT code 65855 to select eye care providers who performed LTP in three key US states (KY, LA, and OK). Primary outcomes were eye provider differences in provider count, service count, unique beneficiary count, and Medicare-allowed payments. Asymptotic two-sided chi-squared tests were executed. Statistical significance was achieved at p<0.05. Results: The sum of Medicare-allowed payments for LTP in all three states in 2018 was roughly 26% lower than in 2015. The proportion of Medicare-allowed payments furnished by optometrists increased from 11.3% to 17.9% between 2015 and 2018 (p<0.001). Relative to ophthalmologists, we observed significant increases in optometric Medicare-allowed payments in KY, LA, OK, and the all-inclusive tri-state cohort (all p<0.001). Furthermore, significant optometric increases in number of providers performing LTP (p=0.007), number of unique Medicare beneficiaries seen (p<0.001), and number of LTP services billed (p<0.001) were observed relative to ophthalmologists. Conclusion: The recent expansion of surgical authority by optometrists in key US states is creating a tangible impact on ophthalmologic and optometric practice patterns. The findings of this study may act as provision for policymakers in the context of continually evolving guidelines for optometric surgical expansion.

Reporting Ethical Procedures in Suicide Prevention Research: Current Status and Recommendations.

OBJECTIVE: Ethical concerns frequently arise in suicide prevention research regarding participant safety and confidentiality. Despite a substantial literature on managing and navigating ethical concerns in suicide research, little attention has been paid to the reporting of ethical procedures. Furthermore, standard procedures for reporting ethical risk management procedures have not been developed. METHOD: A review of the current literature was performed to examine the current state of reporting of ethical procedures within suicide research. Articles published in 2020 (N = 263) from three suicide-focused publications were screened and then coded (n = 131) to identify reporting of procedures for the ethical conduct of research and suicide risk management steps taken by the research teams. RESULTS: The majority of articles reported ethical review or approval (84.7%) and reported the use of an informed consent process (77.9%). Only 28.2% included risk mitigation procedures. Of those 29.7% of those articles reported conducting risk evaluation, 66.7% reported resource dissemination, and 51.4% reported an intervention. CONCLUSION: As empirical support for brief interventions accrues, suicide prevention researchers should consider establishing standards for the reporting of procedures to ensure the safety of participants with suicidal risk.HighlightsReporting suicide safety protocols helps ensure high ethical standards in research.Fewer than 1/3 of articles reviewed reported risk mitigation procedures in 2020.Standard procedures for reporting safety protocols in suicide research are needed.

Characteristics associated with blindness or visual impairment within the adolescent demographic: a national cohort analysis.

BACKGROUND: Psychosocial metrics associated with self-reported blindness or visual impairment for adolescents in the National Survey of Drug Use and Health (NSDUH) have not been fully characterized. This retrospective cohort analysis of the latest NSDUH aimed to determine novel characteristics associated with self-reported visual loss among adolescents in the United States. METHODS: Data from the NSDUH2020, a publicly available, federally validated database, were analyzed. Self-reported severe visual impairment or blindness was defined as being truly blind or having serious difficulty seeing even when wearing corrective lenses (s-rSVI). Inclusion criteria were all cases of s-rSVI in adolescents aged 12-17 years. NSDUH weights were used to accommodate complex survey design, nonresponse rates, and population variance. Weighted percentages, asymptotic two-sided Rao-Scott χ2 analyses, and multivariable logistic regression were performed. Statistical significance was considered reached at P < 0.05. RESULTS: A total of 5,667 adolescents aged 12-17 years were surveyed, and s-rSVI occurred in 236 cases (weighted percentage, 3.48%). Within our final multivariable risk model, characteristics associated with increased odds of s-rSVI were female sex, Asian and Latino race/ethnicity (relative to non-Hispanic White), and self-reported serious difficulty hearing and concentrating (all P < 0.05). CONCLUSIONS: This national retrospective cohort analysis highlights risk factors associated with s-rSVI for adolescents within the 2020 NSDUH. Clinicians and policymakers should consider at-risk demographics for s-rSVI during development and enhancement of screening programs, population health initiatives, and healthcare policy issues.