Articles: sars-cov-2.
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Case Reports
"I Am Not the Same Man…": A Case Report of Management of Post-COVID Refractory Dyspnea.
The SARS-CoV-2 pandemic brings with it a significant number of post-COVID symptoms, including persistent dyspnea and neuropsychological sequelae. The palliative approach in the treatment of these refractory symptoms is effective and widely applicable in different settings. ⋯ The application of different tools of the palliative approach proved to be effective: a detailed advanced care planning and open communication, the respect for the patient's wishes and optimal use of his resources-the salutogenesis- an adaptation of the rhythm of care to that of the patient. The patient was then discharged for rehabilitation, and finally returned home.
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Preventive medicine · Oct 2022
The effectiveness of mRNA vaccines to prevent SARS-CoV-2 infection and hospitalisation for COVID-19 according to the time elapsed since their administration in health professionals in the Valencian Autonomous Community (Spain).
The objective was to understand the effectiveness of the BNT162b2 and mRNA-1273 vaccines against SARS-CoV-2 in health professionals(HPs) in the Valencian Autonomous Community(Spain) who had completed a full vaccination regimen, both in terms of preventing infections and avoiding hospitalisations, according to the time elapsed since the vaccine administration. Case-controlled study with negative test results. HPs who had undergone at least one PCR or antigen(Ag) active infection diagnostic test(AIDT) to rule out SARS-CoV-2 infection between 25 January and 18 July 2021 were included. ⋯ The VEa for prevention of hospitalisation for COVID-19 for the complete two-dose regimen of mRNA vaccines (BNT162b2 and mRNA-1273) was 96.8%(95%CI[76.1%,99.6%]). The administration of the complete regimen of the BNT162b2 and mRNA-1273 vaccine against SARS-CoV-2 was highly effective for the prevention of COVID-19 cases in HPs when 12 to 120 days had elapsed since the second dose. However, said effectiveness decreased as time from the vaccine administration elapsed, although it was maintained for the prevention of hospitalisation of HPs.
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Multiple SARS-CoV-2 variants are identified with higher rates of transmissibility or greater disease severity. Particularly, recent emergence of Omicron variant with rapid human-to-human transmission posts new challenges to the current prevention strategies. In this study, following vaccination with an mRNA vaccine encoding SARS-CoV-2 receptor-binding domain (RBD-mRNA), we detected serum antibodies that neutralized pseudoviruses expressing spike (S) protein harboring single or multiple mutations, as well as authentic SARS-CoV-2 variants, and evaluated its protection against SARS-CoV-2 infection. ⋯ Particularly, RBD-mRNA vaccine completely protected mice from challenge with a virulent mouse-adapted SARS-CoV-2 variant. Among these lineages, B.1.1.7, B.1.351, P.1, B.1.617.2, and B.1.1.529 belong to Alpha, Beta, Gamma, Delta, and Omicron variants, respectively. Our observations reveal that RBD-mRNA vaccine is promising and highlights the need to design novel vaccines with improved neutralization against current and future pandemic SARS-CoV-2 variants.
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There are increasing reports of immune-mediated and para-infectious syndromes beyond the well-known respiratory manifestations of severe-acute-respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. However, the spectrum of severe neurological sequelae of SARS-CoV-2 remains undefined. ⋯ This report will discuss the associations between SARS-CoV-2 and acute transverse myelitis. We believe this is one of few described cases of early SARS-CoV-2-associated transverse myelitis secondary to neurotropism and the first successfully treated with the inclusion of remdesivir in the therapeutic regimen.
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Recently, global health has seen an increase in demand for assistance as a result of the COVID-19 pandemic. This has prompted many researchers to conduct different studies looking for variables that are associated with increased clinical risk, and find effective and safe treatments. Many of these studies have been limited by presenting small samples and a large data set. ⋯ This retrospective study of 150 hospitalized adult COVID-19 patients, of which we established two groups, those who died were called Case group (n = 53) while the survivors were Control group (n = 98). For analysis, a supervised learning algorithm eXtreme Gradient Boosting (XGBoost) has been used due to its good response compared to other methods because it is highly efficient, flexible and portable. In this study, the response to different treatments has been evaluated and has made it possible to accurately predict which patients have higher mortality using artificial intelligence, obtaining better results compared to other ML methods.