Case Report of a Transfusion-Associated Circulatory Overload Leading to Cardiac Arrest in a COVID-19 Positive Patient

Although case reports have been made regarding adverse transfusion reactions, few have been made regarding blood transfusions leading to cardiac arrest. Today, we present a case of a COVID-19 positive Bahraini male, triple vaccinated, transfused with packed red blood cell (pRBC) after finding out he has low haemoglobin levels (64 g/dl) after routine laboratory investigations. During the blood transfusion, he developed hypertension, tachycardia and tachypnoea. The patient went into cardiac arrest within a few minutes of this presentation. Return of spontaneous circulation was achieved, and the patient was managed as transfusion-associated circulatory overload (TACO) with a good overall outcome.Copyright © 2023, Bahrain Medical Bulletin. All rights reserved.

In silico prediction of the inhibition of new molecules on SARS-CoV-2 3CL protease by using QSAR: PSOSVR approach

Continuous effort is dedicated to clinically and computationally discovering potential drugs for the novel coronavirus-2. Computer-Aided Drug Design CADD is the backbone of drug discovery, and shifting to computational approaches has become necessary. Quantitative Structure–Activity Relationship QSAR is a widely used approach in predicting the activity of potential molecules and is an early step in drug discovery. 3-chymotrypsin-like-proteinase 3CLpro is a highly conserved enzyme in the coronaviruses characterized by its role in the viral replication cycle. Despite the existence of various vaccines, the development of a new drug for SARS-CoV-2 is a necessity to provide cures to patients. In the pursuit of exploring new potential 3CLpro SARS-CoV-2 inhibitors and contributing to the existing literature, this work opted to build and compare three models of QSAR to correlate between the molecules' structure and their activity: IC50 through the application of Multiple Linear Regression(MLR), Support Vector Regression(SVR), and Particle Swarm Optimization-SVR algorithms (PSO-SVR). The database contains 71 novel derivatives of ML300which have proven nanomolar activity against the 3CLpro enzyme, and the GA algorithm obtained the representative descriptors. The built models were plotted and compared following various internal and external validation criteria, and applicability domains for each model were determined. The results demonstrated that the PSO-SVR model performed best in predictive ability and robustness, followed by SVR and MLR. These results also suggest that the branching degree 6 had a strong negative impact, while the moment of inertia X/Z ratio, the fraction of rotatable bonds, autocorrelation ATSm2, Keirshape2, and weighted path of length 2 positively impacted the activity. These outcomes prove that the PSO-SVR model is robust and concrete and paves the way for its prediction abilities for future screening of more significant inhibitors' datasets. © 2023, The Author(s) under exclusive licence to Associação Brasileira de Engenharia Química.

Predicting the Growth of COVID-19 in Morocco by Adopting an ARIMA Model

The aim of this paper consists in the application of a well-known statistical analysis model that uses time series data, namely Autoregressive Integrated Moving Average (ARIMA) model, in order to forecast and predict the time evolution of the COVID-19 in Morocco. The dataset has been extracted from the Moroccan Health Ministry website, including confirmed and death cases from first February to end August. The evaluation of ARIMA forecasting models is performed using feature engineering for training COVID-19 Moroccan data and using also the Root Mean squared Logarithmic Error (RMSLE) to evaluate and validate the precision of our ARIMA models. The forecasting results of COVID-19 confirmed cases could be reach the value of 198,506 and death cases could be registered the value of 4311 by the end of November.

Malaria endemicity effect on incidence and mortality rate of covid-19 in some malaria-endemic regions of iran;an ecological study (2020-21)

Background: According to recent reports during the COVID-19 pandemic, malariaendemic regions have a significantly lower COVID-19 case and mortality rate than those malaria-non-endemic. This study aimed to evaluate the prevalence of COVID-19 in malarious areas of southern Iran and the incidence of disease in people previously infected with malaria. Materials and Methods: We conducted an ecological study during the Covid-19 epidemic period in a malaria-endemic area, Hormozgan province, by including all critically ill patients with Covid-19 admitted to hospitals in different counties. The malaria cases were matched in the Covid patient's list. Also, the cumulative incidence and mortality rate of the Covid-19 were calculated in all counties. Results: The results show that malaria-endemic regions have a lower cumulative incidence and mortality rate than the others. Moreover, it was found that people with a history of malaria were not infected with Covid 19. Conclusion: It seems that malaria endemicity may positively affect the lower incidence and mortality rate of COVID-19 in malaria-endemic regions. However, further studies must be carried out to confirm the hypothesis that malaria reduces the risk of Covid-19 in other parts of the world. © The Author(s) 2021;All rights reserved.

Littoral cell angioma of the spleen in a child with Cornelia De Lange syndrome

Littoral Cell Angioma (LCA) is a benign and rare vascular tumor of the spleen. It is uncommon in children, and a comprehensive literature review has yielded only 12 published pediatric cases of LCA. Here we present a seven year old, female who was a known case of Cornelia De Lange syndrome who presented with splenic cysts and underwent splenectomy. Histopathological review revealed LCA. © 2021

The impact of COVID-19 outbreak on the tourism needs of the Algerian population

This research aims to understand the vision and the reaction of the population towards tourism and holidays during this period of the COVID-19 pandemic. It also investigates the tourist needs of the Algerian population after the closure of international borders.

The covid-19 outbreak in algeria: What is the university youth help in fighting the epidemic?

The purpose of this short study is to discover the helping behavior among Algerian students during the confinement of the coronavirus epidemic in Algeria. Data was collected using a questionnaire submitted to 592 people in different regions of Algeria from June 21st, 2020, to determine the helping behavior of the Algerian people towards the negative consequences of the COVID-19 pandemic. The results of the present study show the contribution of young students to provide significant participation to cope with the effects of confinement due to the coronavirus in Algeria through activities to raise awareness of the dangers of the coronavirus, support for families and health managers and the distribution of means of protection. The need to establish volunteer work for youth, especially in times of crisis, is compulsory as society is in great need of them.

Impact of unrealistic optimism on the risk of contamination during the home confinement of covid-19 in algeria

The study was conducted to investigate the impact of unrealistic optimism on the risk of contamination at home confinement and its association with certain social variables. Methods: An online questionnaire was sent to a sample of respondents. Participants (n = 558, 60.6% women and 39.4 men) subjectively assessed the risk of their coronavirus infection in the period May 1 to 15, 2020. Results: 69.2% of the participants confirmed their respect always, and 38.7% confirmed that they rarely wear the mask, while 24% of the sample confirmed that they only sometimes wear the mask when they leave the house, including 50.5% of the sample confirmed that people infected with the coronavirus suffer from social stigmatization. 54.8% of the respondents had an average level of unrealistic optimism, where the mean of participants was (36, 17 ± 5, 97). The study found an association between the levels of unrealistic optimism and respect the home confinement (P = 0.001);whereas, the results showed that there is no association between the levels of unrealistic optimism and wearing the mask (P = 0.183). The results did not show any statistically significant differences in unrealistic optimism between groups of gender among Algerian citizens during the home confinement (P = 0, 0835). Conclusions: Unrealistic optimism is linked to avoiding risky behaviors that threaten human life as it is the case with the COVID-19. It is important to reduce the levels of unrealistic optimism of individuals with beliefs and objective information to avoid dangerous behavior during this pandemic.

Gravity index of the covid-19 pandemic in the first deconfinement phase in Algeria

This article aims to discover the risk index of the spread of coronavirus COVID-19 in Algeria, in particular with the procedures of partial deconfinement and its consequences which can be dangerous. Therefore, it is necessary to focus on objective statistical index to allow building effective knowledge and practices in the post-Coronavirus phase with more caution and prevention. By using this index, countries can know the ideal moment to go towards deconfinement.