Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 5 de 5
Filter
1.
Medecine Intensive Reanimation ; 30:69-74, 2021.
Article in French | EMBASE | ID: covidwho-2298497

ABSTRACT

Since late 2019, Covid-19 has rapidly spread worldwide, generating a pandemic, and health care professionals have mobilized massively to cope with it. In intensive care units, the usually difficult working conditions have become even more difficult, with a marked increase in workload, but also with a reorganization of care delivery, complex admission decisions, and changes in how families are welcomed;all in a climate of uncertainty and insecurity. This article focuses on the psychological impact of this crisis on intensive care professionals, and possible support systems, based on recent literature.Copyright © SRLF 2021.

2.
CPT Pharmacometrics Syst Pharmacol ; 10(12): 1497-1511, 2021 12.
Article in English | MEDLINE | ID: covidwho-1449945

ABSTRACT

This study aimed to determine whether published pharmacokinetic (PK) models can adequately predict the PK profile of imatinib in a new indication, such as coronavirus disease 2019 (COVID-19). Total (bound + unbound) and unbound imatinib plasma concentrations obtained from 134 patients with COVID-19 participating in the CounterCovid study and from an historical dataset of 20 patients with gastrointestinal stromal tumor (GIST) and 85 patients with chronic myeloid leukemia (CML) were compared. Total imatinib area under the concentration time curve (AUC), maximum concentration (Cmax ) and trough concentration (Ctrough ) were 2.32-fold (95% confidence interval [CI] 1.34-3.29), 2.31-fold (95% CI 1.33-3.29), and 2.32-fold (95% CI 1.11-3.53) lower, respectively, for patients with CML/GIST compared with patients with COVID-19, whereas unbound concentrations were comparable among groups. Inclusion of alpha1-acid glycoprotein (AAG) concentrations measured in patients with COVID-19 into a previously published model developed to predict free imatinib concentrations in patients with GIST using total imatinib and plasma AAG concentration measurements (AAG-PK-Model) gave an estimated mean (SD) prediction error (PE) of -20% (31%) for total and -7.0% (56%) for unbound concentrations. Further covariate modeling with this combined dataset showed that in addition to AAG; age, bodyweight, albumin, CRP, and intensive care unit admission were predictive of total imatinib oral clearance. In conclusion, high total and unaltered unbound concentrations of imatinib in COVID-19 compared to CML/GIST were a result of variability in acute phase proteins. This is a textbook example of how failure to take into account differences in plasma protein binding and the unbound fraction when interpreting PK of highly protein bound drugs, such as imatinib, could lead to selection of a dose with suboptimal efficacy in patients with COVID-19.


Subject(s)
Acute-Phase Proteins/metabolism , COVID-19 Drug Treatment , COVID-19/blood , Imatinib Mesylate/blood , Protein Kinase Inhibitors/blood , Aged , Aged, 80 and over , Female , Humans , Imatinib Mesylate/therapeutic use , Male , Middle Aged , Protein Binding/drug effects , Protein Binding/physiology , Protein Kinase Inhibitors/therapeutic use
4.
Med Hypotheses ; 146: 110421, 2021 Jan.
Article in English | MEDLINE | ID: covidwho-1233540

ABSTRACT

BACKGROUND: Infection with SARS-CoV-2 is responsible for the COVID-19 crisis affecting the whole world. This virus can provoke acute respiratory distress syndrome (ARDS) leading to overcrowed the intensive care unit (ICU). Over the last months, worldwide experience demonstrated that the ARDS in COVID-19 patients are in many ways "atypical". The mortality rate in ventilated patients is high despite the application of the gold standard treatment (protective ventilation, curare, prone position, inhaled NO). Several studies suggested that the SARS-CoV-2 could interact negatively on red blood cell homeostasis. Furthermore, SarsCov2 creates Reactive Oxygen Species (ROS), which are toxic and generate endothelial dysfunction. Hypothesis/objective(s) We hypothesis that HEMO2Life® administrated intravenously is safe and could help symptomatically the patient condition. It would increase arterial oxygen content despite lung failure and allow better tissue oxygenation control. The use of HEMO2Life® is also interesting due to its anti-oxidative effect preventing cytokine storm induced by the SARS-CoV-2. Evaluation of the hypothesis: Hemarina is based on the properties of the hemoglobin of the Arenicola marina sea-worm (HEMO2Life®). This extracellular hemoglobin has an oxygen capacity 40 times greater than the hemoglobin of vertebrates. Furthermore, the size of this molecule is 250 times smaller than a human red blood cell, allowing it to diffuse in all areas of the microcirculation, without diffusing outside the vascular sector. It possesses an antioxidative property du a Superoxide Dismutase Activity. This technology has been the subject of numerous publications and HEMO2Life® was found to be well-tolerated and did not induce toxicity. It was administered intravenously to hamsters and rats, and showed no acute effect on heart rate and blood pressure and did not cause microvascular vasoconstriction. In preclinical in vivo models (mice, rats, and dogs), HEMO2Life® has enabled better tissue oxygenation, especially in the brain. This molecule has already been used in humans in organ preservation solutions and the patients showed no abnormal clinical signs. CONSEQUENCES OF THE HYPOTHESIS: The expected benefits of HEMO2Life® for COVID-19 patients are improved survival, avoidance of tracheal intubation, shorter oxygen supplementation, and the possibility of treating a larger number of patients as molecular respirator without to use an invasive machine.


Subject(s)
COVID-19/complications , COVID-19/therapy , Hemoglobins/therapeutic use , Hypoxia/etiology , Hypoxia/therapy , Models, Biological , Oxygen/administration & dosage , Animals , COVID-19/physiopathology , Cricetinae , Dogs , Hemoglobins/administration & dosage , Hemoglobins/metabolism , Humans , Hypoxia/physiopathology , Injections, Intravenous , Mice , Oxidative Stress/drug effects , Oxygen/metabolism , Pandemics , Rats , SARS-CoV-2 , Translational Research, Biomedical
5.
Nucleic Acids Res ; 49(D1): D613-D621, 2021 01 08.
Article in English | MEDLINE | ID: covidwho-1048364

ABSTRACT

WikiPathways (https://www.wikipathways.org) is a biological pathway database known for its collaborative nature and open science approaches. With the core idea of the scientific community developing and curating biological knowledge in pathway models, WikiPathways lowers all barriers for accessing and using its content. Increasingly more content creators, initiatives, projects and tools have started using WikiPathways. Central in this growth and increased use of WikiPathways are the various communities that focus on particular subsets of molecular pathways such as for rare diseases and lipid metabolism. Knowledge from published pathway figures helps prioritize pathway development, using optical character and named entity recognition. We show the growth of WikiPathways over the last three years, highlight the new communities and collaborations of pathway authors and curators, and describe various technologies to connect to external resources and initiatives. The road toward a sustainable, community-driven pathway database goes through integration with other resources such as Wikidata and allowing more use, curation and redistribution of WikiPathways content.


Subject(s)
Databases, Factual , COVID-19/pathology , Data Curation , Humans , Publications , User-Computer Interface
SELECTION OF CITATIONS
SEARCH DETAIL