Cargando…
Covidogram as a simple tool for predicting severe course of COVID-19: population-based study
OBJECTIVES: COVID-19 might either be entirely asymptomatic or manifest itself with a large variability of disease severity. It is beneficial to identify early patients with a high risk of severe course. The aim of the analysis was to develop a prognostic model for the prediction of the severe course...
Autores principales: | Jarkovsky, Jiri, Benesova, Klara, Cerny, Vladimir, Razova, Jarmila, Kala, Petr, Dolina, Jiri, Majek, Ondrej, Sebestova, Silvie, Bezdekova, Monika, Melicharova, Hana, Snajdrova, Lenka, Dusek, Ladislav, Parenica, Jiri |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7907625/ https://www.ncbi.nlm.nih.gov/pubmed/33622955 http://dx.doi.org/10.1136/bmjopen-2020-045442 |
Ejemplares similares
-
COVID-19 vaccine booster significantly decreases the risk of intensive care unit hospitalization in heart failure patients during the Omicron variant wave: A population-based study
por: Parenica, Jiri, et al.
Publicado: (2022) -
Complex Reporting of the COVID-19 Epidemic in the Czech Republic: Use of an Interactive Web-Based App in Practice
por: Komenda, Martin, et al.
Publicado: (2020) -
GRACE Score among Six Risk Scoring Systems (CADILLAC, PAMI, TIMI, Dynamic TIMI, Zwolle) Demonstrated the Best Predictive Value for Prediction of Long-Term Mortality in Patients with ST-Elevation Myocardial Infarction
por: Littnerova, Simona, et al.
Publicado: (2015) -
Control Centre for Intensive Care as a Tool for Effective Coordination, Real-Time Monitoring, and Strategic Planning During the COVID-19 Pandemic
por: Komenda, Martin, et al.
Publicado: (2022) -
Using real-time ascertainment rate estimate from infection and hospitalization dataset for modeling the spread of infectious disease: COVID-19 case study in the Czech Republic
por: Přibylová, Lenka, et al.
Publicado: (2023)