Journal of medical virology
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Detecting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is key to the clinical and epidemiological assessment of CoVID-19. We cross-validated manual and automated high-throughput testing for SARS-CoV-2-RNA, evaluated SARS-CoV-2 loads in nasopharyngeal-oropharyngeal swabs (NOPS), lower respiratory fluids, and plasma, and analyzed detection rates after lockdown and relaxation measures. ⋯ Manual and automated assays significantly correlated qualitatively and quantitatively. Following a successful lockdown, declining positive predictive values require independent dual-target confirmation for reliable assessment. Confirmatory and quantitative follow-up testing should be obtained within <5 days and consider lower respiratory fluids in symptomatic patients with SARS-CoV-2-negative NOPS.
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This study assesses the clinical performance of three anti-SARS-CoV-2 assays, namely EUROIMMUN anti-SARS-CoV-2 nucleocapsid (IgG) ELISA, Elecsys anti-SARS-CoV-2 nucleocapsid (total antibodies) assay, and LIAISON anti-SARS-CoV-2 spike proteins S1 and S2 (IgG) assay. One hundred and thirty-seven coronavirus disease 2019 (COVID-19) samples from 96 reverse-transcription polymerase chain reaction confirmed patients were chosen to perform the sensitivity analysis. Non-SARS-CoV-2 sera (n = 141) with a potential cross-reaction to SARS-CoV-2 immunoassays were included in the specificity analysis. ⋯ However, Elecsys performed better in terms of specificity. All three anti-SARS-CoV-2 assays had equivalent sensitivities 14 days from symptom onset to diagnose past-COVID-19 infection. We also confirmed that anti-SARS-CoV-2 determination before Day 14 is of less clinical interest.
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The analyses of 2325 severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) genomes revealed 107, 162, and 65 nucleotide substitutions in the coding region of SARS-CoV-2 from the three continents America, Europe, and Asia, respectively. Of these nucleotide substitutions 58, 94, and 37 were nonsynonymous types mostly present in the Nsp2, Nsp3, Spike, and ORF9. A continent-specific phylogram analyses clustered the SARS-CoV-2 in the different group based on the frequency of nucleotide substitutions. ⋯ Among the two forms of certain frequent mutation, one form is more prevalent in Europe continents (Nsp12:L314, Nsp13:P504, Nsp13:Y541, Spike:G614, and ORF8:L84) while other forms are more prevalent in American (Nsp12:P314, Nsp13:L504, Nsp13:C541, Spike:D614, and ORF8:L84) and Asian continents (Spike:D614), indicating the spatial and temporal dynamics of SARS-CoV-2. We identified highly conserved 38 regions and among these regions, 11 siRNAs were predicted on stringent criteria that can be used to suppress the expression of viral genes and the corresponding reduction of human viral infections. The present investigation provides information on different mutations and will pave the way for differentiating strains based on virulence and their use in the development of better antiviral therapy.
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Observational Study
Tocilizumab in hospitalized patients with COVID-19: Clinical outcomes, inflammatory marker kinetics, and safety.
Coronavirus disease 2019 (COVID-19) due to infection with severe acute respiratory syndrome coronavirus 2 causes substantial morbidity. Tocilizumab, an interleukin-6 receptor antagonist, might improve outcomes by mitigating inflammation. We conducted a retrospective study of patients admitted to the University of Washington Hospital system with COVID-19 and requiring supplemental oxygen. ⋯ A numerically higher proportion of tocilizumab-treated patients had subsequent infections, transaminitis, and cytopenias. Tocilizumab did not improve outcomes in hospitalized patients with COVID-19. However, this study was not powered to detect small differences, and there remains the possibility for a survival benefit.
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To develop and validate a nomogram using on admission data to predict in-hospital survival probabilities of coronavirus disease 2019 (COVID-19) patients. We analyzed 855 COVID-19 patients with 52 variables. The least absolute shrinkage and selection operator regression and multivariate Cox analyses were used to screen significant factors associated with in-hospital mortality. ⋯ Decision curve analysis showed relatively wide ranges of threshold probability, suggesting a high clinical value of the nomogram. Neutrophil, C-reactive protein, IL-6, d-dimer, prothrombin time, and myoglobin levels were significantly correlated with in-hospital mortality of COVID-19 patients. Demonstrating satisfactory discrimination and calibration, this model could predict patient outcomes as early as on admission and might serve as a useful triage tool for clinical decision making.