A Simple Risk Formula for the Prediction of COVID-19 Hospital Mortality.
Jiří PlášekJozef DodulíkPetr GaiBarbora HrstkováJan ŠkrhaLukáš ZlatohlávekRenata VlasákováPeter DankoPetr OndráčekEva ČubováBronislav ČapekMarie KollárováTomáš FürstJan VáclavíkPublished in: Infectious disease reports (2024)
SARS-CoV-2 respiratory infection is associated with significant morbidity and mortality in hospitalized patients. We aimed to assess the risk factors for hospital mortality in non-vaccinated patients during the 2021 spring wave in the Czech Republic. A total of 991 patients hospitalized between January 2021 and March 2021 with a PCR-confirmed SARS-CoV-2 acute respiratory infection in two university hospitals and five rural hospitals were included in this analysis. After excluding patients with unknown outcomes, 790 patients entered the final analyses. Out of 790 patients included in the analysis, 282/790 (35.7%) patients died in the hospital; 162/790 (20.5) were male and 120/790 (15.2%) were female. There were 141/790 (18%) patients with mild, 461/790 (58.3%) with moderate, and 187/790 (23.7%) with severe courses of the disease based mainly on the oxygenation status. The best-performing multivariate regression model contains only two predictors-age and the patient's state; both predictors were rendered significant ( p < 0.0001). Both age and disease state are very significant predictors of hospital mortality. An increase in age by 10 years raises the risk of hospital mortality by a factor of 2.5, and a unit increase in the oxygenation status raises the risk of hospital mortality by a factor of 20.
Keyphrases
- end stage renal disease
- sars cov
- ejection fraction
- newly diagnosed
- healthcare
- chronic kidney disease
- prognostic factors
- cardiovascular events
- coronavirus disease
- cardiovascular disease
- risk factors
- type diabetes
- adipose tissue
- skeletal muscle
- hepatitis b virus
- early onset
- patient reported
- case report
- liver failure
- respiratory syndrome coronavirus
- preterm infants