Marine Alga Ulva fasciata-Derived Molecules for the Potential Treatment of SARS-CoV-2: An In Silico Approach.

SARS-CoV-2 is the causative agent of the COVID-19 pandemic. This in silico study aimed to elucidate therapeutic efficacies against SARS-CoV-2 of phyco-compounds from the seaweed, Ulva fasciata. Twelve phyco-compounds were isolated and toxicity was analyzed by VEGA QSAR. Five compounds were found to be nonmutagenic, noncarcinogenic and nontoxic. Moreover, antiviral activity was evaluated by PASS. Binding affinities of five of these therapeutic compounds were predicted to possess probable biological activity. Fifteen SARS-CoV-2 target proteins were analyzed by the AutoDock Vina program for molecular docking binding energy analysis and the 6Y84 protein was determined to possess optimal binding affinities. The Desmond program from Schrödinger's suite was used to study high performance molecular dynamic simulation properties for 3,7,11,15-Tetramethyl-2-hexadecen-1-ol-6Y84 for better drug evaluation. The ligand with 6Y84 had stronger binding affinities (-5.9 kcal/mol) over two standard drugs, Chloroquine (-5.6 kcal/mol) and Interferon α-2b (-3.8 kcal/mol). Swiss ADME calculated physicochemical/lipophilicity/water solubility/pharmacokinetic properties for 3,7,11,15-Tetramethyl-2-hexadecen-1-ol, showing that this therapeutic agent may be effective against SARS-CoV-2.

Impact of COVID-19 Cases, Deaths, Stringency and Vaccinations on the US Stock Market

The socio-economic environment of a country may significantly influence the size and working of the country?s financial markets in the long run. Keeping this in mind, this study aims to analyse the long-run and short-run impact of COVID-19 cases, deaths, stringency index, and vaccinations on the US stock market. Daily time series data ranging from 22 January 2020, to 30 April 2021, was considered in this study. The ARDL bounds test approach was employed to examine long-run and short-run relationships. Our statistical evidence suggests that, in the long run, confirmed cases and stringency have a negative and significant impact on stock markets, whereas vaccinations have a positive and significant effect on the stock markets. This indicates that any public health emergency adversely affects the stock markets, such as a pandemic outbreak. The government should ramp up the efforts towards vaccinating their citizens in the earliest possible timeline. Such actions of resurgence from the pandemic instil confidence in the market. Policymakers should be thoughtful about formulating contingency measures to effectively safeguard the population while preventing the deterioration in investor confidence.

Biomarkers of Coagulation and Inflammation in COVID-19-Associated Ischemic Stroke.

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Altered mental status in COVID-19.

BACKGROUND: Altered mental status (AMS) is a common neurological manifestation of COVID-19 infection in hospitalized patients. The principal causes of AMS have yet to be determined. We aimed to identify the common causes of AMS in patients with COVID-19 presenting to the emergency department with AMS on arrival. METHODS: We conducted a retrospective observational study of patients presenting with AMS to three New York hospitals, from March 1 to April 16, 2020. Underlying causes of AMS on arrival to the emergency department (ED) were categorized as (1) neurological causes (stroke, seizure, encephalitis); (2) metabolic encephalopathy; (3) indeterminant. Multivariable analysis was used to assess independent predictors. RESULTS: Overall, 166 patients presented to the ED with AMS. Metabolic encephalopathy was diagnosed as the cause in 154 (92.8%), with 118 (71.1%) categorized as multifactorial ME and 36 (21.7%) with single-cause ME. Hypoxia 103 (62.0%) and renal failure 75 (45.2%) were the most common underlying mechanisms. Neurological causes of AMS occurred in a total 20 patients (12%) and as the sole factor in 5 (3.0%); 10 (6.0%) cases were seizure related and 10 (6.0%) were cerebrovascular events. Of the 7 patients with indeterminant causes, only 1 was suspicious for encephalitis (0.6%). Age, pre-existing dementia and cerebrovascular disease, and impaired renal function were independent predictors of AMS. CONCLUSION: In patients with COVID-19, AMS on presentation to the ED is most frequently caused by metabolic encephalopathy (delirium). Seizures and cerebrovascular events contribute to a lesser degree; encephalitis appears rare.

Neurologic Syndromes Predict Higher In-Hospital Mortality in COVID-19.

OBJECTIVE: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is protean in its manifestations, affecting nearly every organ system. However, nervous system involvement and its effect on disease outcome are poorly characterized. The objective of this study was to determine whether neurologic syndromes are associated with increased risk of inpatient mortality. METHODS: A total of 581 hospitalized patients with confirmed SARS-CoV-2 infection, neurologic involvement, and brain imaging were compared to hospitalized non-neurologic patients with coronavirus disease 2019 (COVID-19). Four patterns of neurologic manifestations were identified: acute stroke, new or recrudescent seizures, altered mentation with normal imaging, and neuro-COVID-19 complex. Factors present on admission were analyzed as potential predictors of in-hospital mortality, including sociodemographic variables, preexisting comorbidities, vital signs, laboratory values, and pattern of neurologic manifestations. Significant predictors were incorporated into a disease severity score. Patients with neurologic manifestations were matched with patients of the same age and disease severity to assess the risk of death. RESULTS: A total of 4,711 patients with confirmed SARS-CoV-2 infection were admitted to one medical system in New York City during a 6-week period. Of these, 581 (12%) had neurologic issues of sufficient concern to warrant neuroimaging. These patients were compared to 1,743 non-neurologic patients with COVID-19 matched for age and disease severity admitted during the same period. Patients with altered mentation (n = 258, p = 0.04, odds ratio [OR] 1.39, confidence interval [CI] 1.04-1.86) or radiologically confirmed stroke (n = 55, p = 0.001, OR 3.1, CI 1.65-5.92) had a higher risk of mortality than age- and severity-matched controls. CONCLUSIONS: The incidence of altered mentation or stroke on admission predicts a modest but significantly higher risk of in-hospital mortality independent of disease severity. While other biomarker factors also predict mortality, measures to identify and treat such patients may be important in reducing overall mortality of COVID-19.

The effect of race on composite thrombotic events in patients with COVID-19.

COVID-19 associated coagulopathy and mortality related to thrombotic complications have been suggested as biological mediators in racial disparities related to COVID-19. We studied the adjusted prevalence of acute ischemic stroke, pulmonary embolism, myocardial infarction, and deep venous thrombosis stratified by race in hospitalized patients in one New York City borough during the local COVID-19 surge. The multi-racial cohort included 4299 patients hospitalized with COVID-19, 9% of whom were white, 40% black, 41% Hispanic and 10% Asian or other. We found a 6.1% prevalence of composite thrombotic events. There were no significant race-specific differences in thrombotic events when adjusting for basic demographics, socioeconomic factors, medical comorbidities or biomarkers using a stepwise regression model. We therefore found no evidence that the racial disparities related to COVID-19, and specifically thrombotic complications, are caused by biological differences in race.