Disease progression of 213 patients hospitalized with Covid-19 in the Czech Republic in March-October 2020: An exploratory analysis.

Autor: Modrák M; Bioinformatics Core Facility, Institute of Microbiology of the Czech Academy of Sciences, Prague, Czech Republic., Bürkner PC; Cluster of Excellence SimTech, University of Stuttgart, Stuttgart, Deutschland, Germany., Sieger T; Dept. of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic., Slisz T; Department of Respiratory Medicine, 1st Faculty of Medicine, Charles University in Prague, Prague, Czech Republic.; Thomayer University Hospital, Prague, Czech Republic., Vašáková M; Department of Respiratory Medicine, 1st Faculty of Medicine, Charles University in Prague, Prague, Czech Republic.; Thomayer University Hospital, Prague, Czech Republic., Mesežnikov G; Motol University Hospital, Prague, Czech Republic., Casas-Mendez LF; Motol University Hospital, Prague, Czech Republic., Vajter J; Motol University Hospital, Prague, Czech Republic., Táborský J; AGEL Hospital Nový Jičín, Nový Jičín, Czech Republic., Kubricht V; Kralovské Vinohrady University Hospital, Prague, Czech Republic., Suk D; General University Hospital in Prague, Prague, Czech Republic., Horejsek J; General University Hospital in Prague, Prague, Czech Republic., Jedlička M; Military Hospital Olomouc, Olomouc, Czech Republic., Mifková A; Military Hospital Olomouc, Olomouc, Czech Republic., Jaroš A; Na Homolce Hospital, Prague, Czech Republic., Kubiska M; Department of Infectious Diseases and Travel Medicine, Faculty of Medicine in Pilsen, Charles University, University Hospital in Pilsen, Pilsen, Czech Republic., Váchalová J; Department of Infectious Diseases and Travel Medicine, Faculty of Medicine in Pilsen, Charles University, University Hospital in Pilsen, Pilsen, Czech Republic., Šín R; Department of Infectious Diseases and Travel Medicine, Faculty of Medicine in Pilsen, Charles University, University Hospital in Pilsen, Pilsen, Czech Republic., Veverková M; Hořovice Hospital, Hořovice, Czech Republic., Pospíšil Z; Třebíč Hospital, Třebíč, Czech Republic., Vohryzková J; 2nd Faculty of Medicine, Charles University in Prague, Prague, Czech Republic., Pokrievková R; 3rd Faculty of Medicine, Charles University in Prague, Prague, Czech Republic., Hrušák K; 2nd Faculty of Medicine, Charles University in Prague, Prague, Czech Republic., Christozova K; 2nd Faculty of Medicine, Charles University in Prague, Prague, Czech Republic., Leos-Barajas V; Department of Statistical Sciences, University of Toronto, Toronto, Canada., Fišer K; Department of Bioinformatics, 2nd Faculty of Medicine, Charles University in Prague, Prague, Czech Republic., Hyánek T; Na Homolce Hospital, Prague, Czech Republic.
Jazyk: angličtina
Zdroj: PloS one [PLoS One] 2021 Oct 06; Vol. 16 (10), pp. e0245103. Date of Electronic Publication: 2021 Oct 06 (Print Publication: 2021).
DOI: 10.1371/journal.pone.0245103
Abstrakt: 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.
Competing Interests: The authors have declared that no competing interests exist.
Databáze: MEDLINE
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