A comprehensive review of viral characteristics, transmission, pathophysiology, immune response, and management of SARS-CoV-2 and COVID-19 as a basis for …
COVID-19 emerged from China in December 2019 and during 2020 spread to every
continent including Antarctica. The coronavirus, SARS-CoV-2, has been identified as the …
continent including Antarctica. The coronavirus, SARS-CoV-2, has been identified as the …
Efficacy and safety of azithromycin in Covid‐19 patients: A systematic review and meta‐analysis of randomized clinical trials
Azithromycin (AZM) is commonly used in Covid‐19 patients based on low‐quality evidence,
increasing the risk of developing adverse events and antimicrobial resistance. The current …
increasing the risk of developing adverse events and antimicrobial resistance. The current …
High risk of patient self-inflicted lung injury in COVID-19 with frequently encountered spontaneous breathing patterns: a computational modelling study
L Weaver, A Das, S Saffaran, N Yehya, TE Scott… - Annals of intensive …, 2021 - Springer
Background There is on-going controversy regarding the potential for increased respiratory
effort to generate patient self-inflicted lung injury (P-SILI) in spontaneously breathing …
effort to generate patient self-inflicted lung injury (P-SILI) in spontaneously breathing …
Potential neurological manifestations of COVID-19: a narrative review
JV Pergolizzi Jr, RB Raffa, G Varrassi… - Postgraduate …, 2022 - Taylor & Francis
Neurological manifestations are increasingly reported in a subset of COVID-19 patients.
Previous infections related to coronaviruses, namely Severe Acute Respiratory Syndrome …
Previous infections related to coronaviruses, namely Severe Acute Respiratory Syndrome …
Diagnosis and management of acute respiratory distress syndrome in a time of COVID-19
S Kassirian, R Taneja, S Mehta - Diagnostics, 2020 - mdpi.com
Acute respiratory distress syndrome (ARDS) remains a serious illness with significant
morbidity and mortality, characterized by hypoxemic respiratory failure most commonly due …
morbidity and mortality, characterized by hypoxemic respiratory failure most commonly due …
Respiratory co-infections: modulators of SARS-CoV-2 patients' clinical sub-phenotype
Co-infection with ancillary pathogens is a significant modulator of morbidity and mortality in
infectious diseases. There have been limited reports of co-infections accompanying SARS …
infectious diseases. There have been limited reports of co-infections accompanying SARS …
Review on therapeutic targets for COVID-19: insights from cytokine storm
ML de Mélo Silva Júnior, LMA de Souza… - Postgraduate …, 2021 - academic.oup.com
Introduction Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been
caused the greatest pandemic of our century. Many of the deaths related to it are due to a …
caused the greatest pandemic of our century. Many of the deaths related to it are due to a …
[HTML][HTML] An immune-protein score combining TRAIL, IP-10 and CRP for predicting severe COVID-19 disease
COVID-19 patients are oftentimes over-or under-treated due to a deficit in predictive
management tools. This study reports derivation of an algorithm that integrates the host …
management tools. This study reports derivation of an algorithm that integrates the host …
Indications for tracheal intubation in patients with coronavirus disease 2019 (COVID-19)
A Pisano, A Yavorovskiy, L Verniero… - … of Cardiothoracic and …, 2020 - pmc.ncbi.nlm.nih.gov
With more than 53 million cases of severe acute respiratory syndrome coronavirus 2 (SARS-
CoV-2) infection worldwide (at the time of writing) and the recent new increase in contagion …
CoV-2) infection worldwide (at the time of writing) and the recent new increase in contagion …
Reinforcement learning assisted oxygen therapy for COVID-19 patients under intensive care
Abstract Background Patients with severe Coronavirus disease 19 (COVID-19) typically
require supplemental oxygen as an essential treatment. We developed a machine learning …
require supplemental oxygen as an essential treatment. We developed a machine learning …