PubMed COVID-19 Clinical Care
27741 - 27750 of 44979 results found
Humoral and cellular responses to repeated COVID-19 exposure in multiple sclerosis patients receiving B-cell depleting therapies: a single-center, one-year, prospective study
Description
Multiple sclerosis patients treated with anti-CD20 therapy (aCD20-MS) are considered especially vulnerable to complications from SARS-CoV-2 infection due to severe B-cell depletion with limited viral antigen-specific immunoglobulin production
Novel markers of COVID-19 mortality-A comparative study with patients of acute coronary syndrome
Description
CONCLUSIONS: Elevated total leukocyte counts reflect underlying secondary bacterial infection among patients with COVID-19 and help initiate appropriate antibiotics. Depletion of intravascular volume reflected by an increased urea/creatinine ratio
NOTTO Guidelines for Vaccine Induced Thrombotic Thrombocytopenia in Organ Donation and Transplantation
Description
From the context of organ donation, COVID-19 vaccine-induced thrombotic thrombocytopenia (VITT) is important as there is an ethical dilemma in utilizing versus discarding organs from potential donors succumbing to VITT. This consensus statement is an
Editor's introduction: Qualitative research in the course of a pandemic
Description
No abstract
Differences among epitopes recognized by neutralizing antibodies induced by SARS-CoV-2 infection or COVID-19 vaccination
Description
SARS-CoV-2 has gradually acquired amino acid substitutions in its S protein that reduce the potency of neutralizing antibodies, leading to decreased vaccine efficacy. Here, we attempted to obtain mutant viruses by passaging SARS-CoV-2 in the presence
Public Knowledge About COVID-19 Booster Vaccines in Pakistan: A Study Conducted in a Tertiary Care Hospital in Karachi
Description
The coronavirus disease 2019 (COVID-19) pandemic has deteriorated the healthcare system and economy worldwide. Globally, by making the primary vaccination against the coronavirus necessary, the surge in cases waned, but as the effects of this
Dynamics-informed deconvolutional neural networks for super-resolution identification of regime changes in epidemiological time series
Description
The ability to infer the timing and amplitude of perturbations in epidemiological systems from their stochastically spread low-resolution outcomes is crucial for multiple applications. However, the general problem of connecting epidemiological curves
