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

Autor: Adriana Mifkova, Robin Šín, Martin Modrak, Paul-Christian Bürkner, Karel Fiser, Jana Váchalová, Jaromir Vajter, Tomas Hyanek, Vianey Leos-Barajas, Luis Fernando Casas-Mendez, Martin Jedlicka, Kristian Hrusak, Miroslav Kubiska, Julie Vohryzkova, Grigorij Meseznikov, Viktor Kubricht, Rebeka Pokrievkova, Tomáš Sieger, Marketa Veverkova, Jan Táborský, Jan Horejsek, Zbysek Pospisil, Daniel Suk, Tomas Slisz, Kristina Christozova, Adam Jaros, Martina Vasakova
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Male
Czech
Viral Diseases
Epidemiology
Physiology
Markov models
Azithromycin
Biochemistry
Medical Conditions
Medicine and Health Sciences
Hidden Markov models
Statistical Data
Czech Republic
Multidisciplinary
Respiration
Palliative Care
Statistics
Middle Aged
C-Reactive Proteins
Physical sciences
Hospitalization
Infectious Diseases
Breathing
Disease Progression
language
Medicine
Female
Research Article
medicine.drug
Adult
medicine.medical_specialty
Coronavirus disease 2019 (COVID-19)
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
Science
Favipiravir
Internal medicine
medicine
Humans
Pandemics
Aged
Models
Statistical
business.industry
Disease progression
Biology and Life Sciences
Proteins
COVID-19
Probability theory
Covid 19
Hydroxychloroquine
Exploratory analysis
language.human_language
COVID-19 Drug Treatment
Health Care
Medical Risk Factors
Physiological Processes
business
Mathematics
Zdroj: PLoS ONE, Vol 16, Iss 10, p e0245103 (2021)
PLoS ONE
ISSN: 1932-6203
Popis: 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.
Databáze: OpenAIRE
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