Risk factors for Non-Hodgkin's lymphoma in autoimmune disease: a large database analysis.

Immune dysregulation in autoimmune diseases (ADs) is a risk factor for the development of Non-Hodgkin's lymphoma (NHL). However, the underlying mechanisms are not well understood. Hence, this retrospective study aims to describe the clinical and demographic factors that increase the risk of NHL development in patients with ADs. Our study utilised data from National Inpatient Sample (NIS) for the duration of 2016-2020 on all adult patients aged > 18 years who had NHL. We divided them into two cohorts: one with underlying ADs and one without underlying ADs. We then compared the adjusted odds ratios (aOR) of various risk factors. It was found that 0.9% of autoimmune cases had NHL, while 0.7% of non-autoimmune cases had NHL. Among those with autoimmune conditions, various factors influenced the presence of lymphoma, such as personal history of chemotherapy or radiation, family history of lymphoid malignancy, HIV infection, advanced age of 60-69 years, Asian and Pacific Islander ethnicity and viral hepatitis. The increased risk of NHL with autoimmune conditions is well established. Studies have also shown that these patients can overall have a poor prognosis from their NHL when compared to patients without autoimmune diseases. However, there is limited literature regarding the interplay of traditional NHL risk factors with underlying autoimmunity. Hence, our study sheds light on the lesser studied risk factors, such as patient characteristics and comorbidities.

Low left atrial appendage emptying velocity is a predictor of atrial fibrillation recurrence after catheter ablation.

BACKGROUND: Recurrence of atrial fibrillation (AF) after catheter ablation (CA) remains common and studies have shown about 5%-9% annual recurrence rate after CA. We sought to assess the echocardiogram derived left atrial appendage (LAA) emptying velocity as a predictor of AF recurrence after CA. OBJECTIVE: To determine if LAA emptying is a marker of recurrence of AF post-CA METHODS: A total of 303 consecutive patients who underwent CA for AF between 2014 and 2020 were included. Baseline clinical characteristics and echocardiographic data of the patients were obtained by chart review. LAA emptying velocities were obtained from transesophageal echocardiogram (TEE). LA voltage was obtained during the mapping for CA. Chi-square test and nominal logistic regression were used for statistical analysis. An receiver operator characteristic curve was used to determine LAA velocity cut-off. RESULTS: Mean patient age was 61.7 ± 10.5; 32% were female. Mean LAA emptying velocity was 47.5 ± 20.2. A total of 103 (40%) patients had recurrence after CA. In the multivariable model, after adjusting for potential confounders, LAA emptying velocity of ≥52.3 was associated with decreased AF recurrence postablation (odds ratio [OR]: 0.55; 95% confidence interval  [CI]: 0.31-0.97; p = .03*). There were 190 (73%) patients in normal sinus rhythm during TEE and CA, and sensitivity analysis of these patients showed that LAA velocity ≥52.3 remained associated with decreased AF recurrence (OR: 0.35; 95% CI: 0.15-0.82; p = .01*). CONCLUSION: LAA emptying velocity measured during preprocedural TEE can serve as a predictor of AF recurrence in patients undergoing CA.

The Incidence of Alcohol Use Disorders during the COVID-19 Pandemic.

BACKGROUND: The COVID-19 pandemic has introduced a myriad of challenges to healthcare systems and public health policies across the globe. Individuals with alcohol use disorders are at peaked risk due to mental, socio-demographic, and economic factors leading to hindered mental health service access, misinformation and adherence. METHODS: Keywords including "alcohol use", "death", "hand sanitizer", "overdose" and "COVID-19" were used to obtain 8 media reports for case analysis. A review of 34 manually extracted records were also conducted using PubMed, MEDLINE, Scopus, and the Embase database with no time and language restrictions. RESULTS: A total of 2,517 individuals with alcohol overdose across the United States, India, Canada, and Iran were presented. The majority of cases were male, ages 21-65. Common contributors were linked to socio-economic changes, disruption to mental health services, and physical isolation. CONCLUSION: While original studies are essential to evaluate the etiologies of alcohol use and misuse during pandemics, the dissemination of misinformation must be curbed by directing vulnerable individuals towards accurate information and access to mental health services.

Contributing factors to pediatric COVID-19 and MIS-C during the initial waves: A systematic review of 92 case reports.

Background: As the coronavirus disease 2019 (COVID-19) pandemic continues to sweep the world with unprecedented speed and devastation, data has shown that cases in the pediatric population have been significantly lower than in the adult population. We conducted a systematic review of case reports to identify the contributing factors of confirmed pediatric COVID-19 patients. Methods: Using the PubMed platform, and Cochrane Central, we searched for primary studies alone. All database searches were performed between December 2019 and December 2020. We incorporated keywords including "pediatrics," "Case reports," "Cases," "Covid-19″ into all searches. Results: A total of 92 records were included in this novel review. Of all patients, 58% were male and the mean age of the patients was 6.2 years (SD: 5.9). Contributing factors to MIS-C infections were G6PD deficiency (17.6%), Group A streptococcus co-infection (17.6%), infancy (11.8%), whereas those in COVID-19 pediatric patients included congenital (18.5%), and genetic defects (13.8%), in addition to vertical transmission or during infancy (16.9%). Data of baseline demographic characteristics and clinical sequelae of included COVID-19 pediatric and MIS-C patients is presented. Conclusion: With schools reopening and closing, the pediatric age group is susceptible to high rates of COVID-19 community transmission. We provide insights into potential contributing factors to pediatric COVID-19 and MIS-C patients. These insights are critical to guide future guidelines on the management and potential vaccination efforts.

Industry 4.0 Technologies for the Manufacturing and Distribution of COVID-19 Vaccines.

BACKGROUND: The evolutionary stages of manufacturing have led us to conceptualize the use of Industry 4.0 for COVID-19 (coronavirus disease 2019), powered by Industry 4.0 technologies. Using applications of integrated process optimizations reliant on digitized data, we propose novel intelligent networks along the vaccine value chain. Vaccine 4.0 may enable maintenance processes, streamline logistics, and enable optimal production of COVID-19 vaccines. VACCINE 4.0 FRAMEWORK: The challenge in applying Vaccine 4.0 includes the requirement of large-scale technologies for digitally transforming manufacturing, producing, rolling-out, and distributing vaccines. With our framework, Vaccine 4.0 analytics will target process performance, process development, process stability, compliance, quality assessment, and optimized maintenance. The benefits of digitization during and post the COVID-19 pandemic include first, the continual assurance of process control, and second, the efficacy of big-data analytics in streamlining set parameter limits. Digitization including big data-analytics may potentially improve the quality of large-scale vaccine production, profitability, and manufacturing processes. The path to Vaccine 4.0 will enhance vaccine quality, improve efficacy, and compliance with data-regulated requirements. DISCUSSION: Fiscal and logistical barriers are prevalent across resource-limited countries worldwide. The Vaccine 4.0 framework accounts for expected barriers of manufacturing and equitably distributing COVID-19 vaccines. With amalgamating big data analytics and biometrics, we enable the identification of vulnerable populations who are at higher risk of disease transmission. Artificial intelligence powered sensors and robotics support thermostable vaccine distribution in limited capacity regions, globally. Biosensors isolate COVID-19 vaccinations with low or limited efficacy. Finally, Vaccine 4.0 blockchain systems address low- and middle-income countries with limited distribution capacities. CONCLUSION: Vaccine 4.0 is a viable framework to optimize manufacturing of vaccines during and post the COVID-19 pandemic.

Understanding and Promoting Racial Diversity in Healthcare Settings to Address Disparities in Pandemic Crisis Management.

BACKGROUND: Health disparities have become apparent since the beginning of the COVID-19 pandemic. When observing racial discrimination in healthcare, self-reported incidences, and perceptions among minority groups in the United States suggest that, the most socioeconomically underrepresented groups will suffer disproportionately in COVID-19 due to synergistic mechanisms. This study reports racially-stratified data regarding the experiences and impacts of different groups availing the healthcare system to identify disparities in outcomes of minority and majority groups in the United States. METHODS: Studies were identified utilizing PubMed, Embase, CINAHL Plus, and PsycINFO search engines without date and language restrictions. The following keywords were used: Healthcare, raci*, ethnic*, discriminant, hosti*, harass*, insur*, education, income, psychiat*, COVID-19, incidence, mortality, mechanical ventilation. Statistical analysis was conducted in Review Manager (RevMan V.5.4). Unadjusted Odds Ratios, P-values, and 95% confidence intervals were presented. RESULTS: Discrimination in the United States is evident among racial groups regarding medical care portraying mental risk behaviors as having serious outcomes in the health of minority groups. The perceived health inequity had a low association to the majority group as compared to the minority group (OR = 0.41; 95% CI = 0.22 to 0.78; P = .007), and the association of mental health problems to the Caucasian-American majority group was low (OR = 0.51; 95% CI = 0.45 to 0.58; P < .001). CONCLUSION: As the pandemic continues into its next stage, efforts should be taken to address the gaps in clinical training and education, and medical practice to avoid the recurring patterns of racial health disparities that become especially prominent in community health emergencies. A standardized tool to assess racial discrimination and inequity will potentially improve pandemic healthcare delivery.

Thymosin alpha 1: A comprehensive review of the literature.

Thymosin alpha 1 is a peptide naturally occurring in the thymus that has long been recognized for modifying, enhancing, and restoring immune function. Thymosin alpha 1 has been utilized in the treatment of immunocompromised states and malignancies, as an enhancer of vaccine response, and as a means of curbing morbidity and mortality in sepsis and numerous infections. Studies have postulated that thymosin alpha 1 could help improve the outcome in severely ill corona virus disease 2019 patients by repairing damage caused by overactivation of lymphocytic immunity and how thymosin alpha 1 could prevent the excessive activation of T cells. In this review, we discuss key literature on the background knowledge and current clinical uses of thymosin alpha 1. Considering the known biochemical properties including antibacterial and antiviral properties, time-honored applications, and the new promising findings regarding the use of thymosin, we believe that thymosin alpha 1 deserves further investigation into its antiviral properties and possible repurposing as a treatment against severe acute respiratory syndrome coronavirus-2.