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.

Menstrual irregularities following COVID-19 vaccination: A global cross-sectional survey.

Introduction: The coronavirus disease 2019 (COVID-19) vaccination generates protective immunity against SARS-CoV-2 infection. There is no clear evidence of COVID-19 vaccine-induced menstrual irregularities. Objective: To identify potential menstrual irregularities following COVID-19 vaccine among females. Methods: A worldwide cross-sectional survey study was conducted from June 10, 2021, to July 10, 2021 using online mediums. The survey consisted of 15 questions divided into baseline characteristics, vaccination status and dosage, menstruation and relate factors, and thoughts and knowledge about menstrual irregularities. Non-probability convenience sampling method was used including 510 responses. The results were tabulated, with bivariate analysis and chi-square test results. The sensitivity and specificity test of factors associated to knowledge about menstrual irregularities post COVID-19 vaccination were analyzed by receiver operating characteristic analysis. Results: The associations between healthcare worker (HCW) status and perceptions (χ2 = 10.422; p = 0.064), and knowledge about menstrual irregularities post-vaccination (χ2 = 1.966; p = 0.161) were found. Vaccinated compared to non-vaccinated women had a higher risk of change in inter-cycle length between periods (OR = 3.172; 95% CI = 0.470-21.431). Of 314 HCW vs. 196 non-HCW, 60 (19.1%) vs. 28 (14.3%) were knowledgeable about menstrual irregularities (OR = 1.338, 95% CI = 0.886-2.019 vs. OR = 0.944; 95% CI = 0.873-1.021). On asking the HCW vs. non-HCW about perceptions of COVID-19 vaccine-induced menstrual irregularities, 24 (7.6%) vs. 9 (4.6%) agreed, 139 (44.3%) vs. 67 (34.2%) disagreed, and 151 (48.1%) vs. 120 (61.2%) did not know or chose not applicable. Conclusion: There is a gap in the current understanding of menstrual irregularities, even if temporary, following COVID-19 vaccination that requires further exploration. Misinformation may also be the culprit for the observed proportion of women that noticed changes in their menstrual periods after COVID-19 vaccination.

Cardiovascular Disease, Intensive Care, and Mortality in Coronavirus Disease 2019 Patients: A Meta-Analysis.

OBJECTIVE: Coronavirus disease 2019 is caused by severe acute respiratory syndrome coronavirus-2. The coronavirus disease 2019 pandemic has imparted an extraordinary burden on the intensive care services, which is likely to echo in pandemic and critical care management glob- ally. We aim to meta-analyze mortality outcomes in cardiovascular disease patients and groups receiving corticosteroids therapy, intensive care admission status during coronavirus disease 2019 hospitalization and groups receiving corticosteroid therapy, and lastly, mortality outcomes in mechanically ventilated patients. Finally, we collate a coronavirus disease 2019 field algorithm for ST-elevation myocardial infarction critical care. METHODS: PubMed databases were searched for relevant observational studies with MeSH terms including, "cardiovascular disease," "COVID-19," "intensive care," "mortality," and "mechanical ventilation." A random-effect model was used to calculate the risk ratio, using RevMan V5.3. RESULTS: A total of 67 622 patients were included with 10 076 participants in the cardiovascular disease group. Overall, the mean age of the participants in the studies was 60 ± 1.6 years and 52.1% were female. A higher death risk was found in cardiovascular disease patients during and after coronavirus disease 2019 infection (risk ratio = 2.43, 95% CI = 1.74 to 3.41, P < .0001). Mechanical ventilation was likened to worsen mortality rates at any time during the hospital stay (risk ratio = 5.32, 95% CI = 3.89 to 7.29, P < .0001). Publication bias was not observed and high methodological qualities were included. CONCLUSIONS: Cardiovascular disease imparts a high burden on intensive care leading to high mortality among coronavirus disease 2019 patients. It is essential that myocardial infarctions in the acute care setting, and conditions such as hypertension and coronary artery diseases, are closely monitored while leading coronavirus disease 2019 hospitalization protocols.

Video games, frustration, violence, and virtual reality: Two studies.

The degree to which the content of video games influences aggression continues to be debated in the scholarly literature. The current article includes two studies, one of which replicates one study from Przybylski et al. (2014, J. Pers. Soc. Psychol., 106, 441) and the other which extends related concepts into virtual reality. In the first study, two versions of Tetris were examined, differing in levels of difficulty. In the second study, participants played virtual reality games which differed in regard to difficulty and violent content. Difficulty increased hostility in the second study but not the first. Violent content influenced neither hostility nor aggressive behaviour. Results partially supported the frustration theory of aggression, but not theories of violent content effects. Implications for the field are discussed.

Submerged cultivation of medicinal mushroom in hydrolysate of ligno-cellulosic material.

Ganoderma lucidum belongs to the family Ganodermataceae and found in Japan, China and some other parts of Asia. Traditionally it is used in herbal medicine as anti-diabetic, cancer prevention agent, antitumor, an immunomodulatory, antimicrobial and antiviral agent. Due to difficulty in field cultivation, submerged fermentation was employed as a promising method for efficient and large-scale production of mycelia biomass and bioactive metabolites. Cellulose was used in the form of a lignocellulosic substrate. The Ganoderma lucidum which is medicinal and edible mushrooms were successfully grown in the form of mycelial biomass in static submerged culture in Petri plates and flasks. The present study is based on the utilization of hydrolyzates of lignocellulosic materials such as Peanut cort, Sugarcane bagasse, and Wheat Straw was used after hydrolysis. A Static Fermentation Technique was employed to investigate the mycelial growth, instead of Fruiting Body. Ganoderma lucidum was kept up on PDA (potato dextrose agar) medium in Petri dishes at 4°C and brooded at 25°C for 5 days for the development of G. lucidum and generation of Ganoderic Acid. Morphology of G. lucidum on various Hydrolysates was white and delicate like cotton unpredictable shape, Cloud-like appearance spread in general plate and multiple little sporadic white cotton-like shape with string-like projections. We got a Ganoderic Acid from the Hydrolysates of Peanut cort concentrate, Sugarcane bagasse concentrate and Wheat straw concentrate at a concentration of 0.006g/L, 0.011g/L and 0.017g/L respectively.