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Disease progression of 213 patients hospitalized with Covid-19 in the Czech Republic in March-October 2020: An exploratory analysis
M. Modrák, PC. Bürkner, T. Sieger, T. Slisz, M. Vašáková, G. Mesežnikov, LF. Casas-Mendez, J. Vajter, J. Táborský, V. Kubricht, D. Suk, J. Horejsek, M. Jedlička, A. Mifková, A. Jaroš, M. Kubiska, J. Váchalová, R. Šín, M. Veverková, Z. Pospíšil,...
Jazyk angličtina Země Spojené státy americké
Typ dokumentu časopisecké články, práce podpořená grantem
NLK
Directory of Open Access Journals
od 2006
Free Medical Journals
od 2006
Public Library of Science (PLoS)
od 2006
PubMed Central
od 2006
Europe PubMed Central
od 2006
ProQuest Central
od 2006-12-01
Open Access Digital Library
od 2006-01-01
Open Access Digital Library
od 2006-01-01
Open Access Digital Library
od 2006-10-01
Medline Complete (EBSCOhost)
od 2008-01-01
Nursing & Allied Health Database (ProQuest)
od 2006-12-01
Health & Medicine (ProQuest)
od 2006-12-01
Public Health Database (ProQuest)
od 2006-12-01
ROAD: Directory of Open Access Scholarly Resources
od 2006
- MeSH
- COVID-19 epidemiologie patologie terapie MeSH
- dospělí MeSH
- farmakoterapie COVID-19 MeSH
- hospitalizace * MeSH
- lidé středního věku MeSH
- lidé MeSH
- progrese nemoci * MeSH
- senioři MeSH
- statistické modely MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Geografické názvy
- Česká republika MeSH
We collected a multi-centric retrospective dataset of patients (N = 213) who were admitted to ten hospitals in Czech Republic and tested positive for SARS-CoV-2 during the early phases of the pandemic in March-October 2020. The dataset contains baseline patient characteristics, breathing support required, pharmacological treatment received and multiple markers on daily resolution. Patients in the dataset were treated with hydroxychloroquine (N = 108), azithromycin (N = 72), favipiravir (N = 9), convalescent plasma (N = 7), dexamethasone (N = 4) and remdesivir (N = 3), often in combination. To explore association between treatments and patient outcomes we performed multiverse analysis, observing how the conclusions change between defensible choices of statistical model, predictors included in the model and other analytical degrees of freedom. Weak evidence to constrain the potential efficacy of azithromycin and favipiravir can be extracted from the data. Additionally, we performed external validation of several proposed prognostic models for Covid-19 severity showing that they mostly perform unsatisfactorily on our dataset.
2nd Faculty of Medicine Charles University Prague Prague Czech Republic
3rd Faculty of Medicine Charles University Prague Prague Czech Republic
AGEL Hospital Nový Jičín Nový Jičín Czech Republic
Cluster of Excellence SimTech University of Stuttgart Stuttgart Deutschland Germany
Department of Bioinformatics 2nd Faculty of Medicine Charles University Prague Prague Czech Republic
Department of Statistical Sciences University of Toronto Toronto Canada
General University Hospital Prague Prague Czech Republic
Hořovice Hospital Hořovice Czech Republic
Kralovské Vinohrady University Hospital Prague Czech Republic
Military Hospital Olomouc Olomouc Czech Republic
Motol University Hospital Prague Czech Republic
Na Homolce Hospital Prague Czech Republic
Citace poskytuje Crossref.org
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