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Fatality rate and predictors of mortality in an Italian cohort of hospitalized COVID-19 patients.
- Source :
-
Scientific reports [Sci Rep] 2020 Nov 26; Vol. 10 (1), pp. 20731. Date of Electronic Publication: 2020 Nov 26. - Publication Year :
- 2020
-
Abstract
- Clinical features and natural history of coronavirus disease 2019 (COVID-19) differ widely among different countries and during different phases of the pandemia. Here, we aimed to evaluate the case fatality rate (CFR) and to identify predictors of mortality in a cohort of COVID-19 patients admitted to three hospitals of Northern Italy between March 1 and April 28, 2020. All these patients had a confirmed diagnosis of SARS-CoV-2 infection by molecular methods. During the study period 504/1697 patients died; thus, overall CFR was 29.7%. We looked for predictors of mortality in a subgroup of 486 patients (239 males, 59%; median age 71 years) for whom sufficient clinical data were available at data cut-off. Among the demographic and clinical variables considered, age, a diagnosis of cancer, obesity and current smoking independently predicted mortality. When laboratory data were added to the model in a further subgroup of patients, age, the diagnosis of cancer, and the baseline PaO <subscript>2</subscript> /FiO <subscript>2</subscript> ratio were identified as independent predictors of mortality. In conclusion, the CFR of hospitalized patients in Northern Italy during the ascending phase of the COVID-19 pandemic approached 30%. The identification of mortality predictors might contribute to better stratification of individual patient risk.
- Subjects :
- Age Factors
Aged
Aged, 80 and over
COVID-19 virology
Comorbidity
Female
Humans
Italy epidemiology
Length of Stay
Male
Middle Aged
Retrospective Studies
Reverse Transcriptase Polymerase Chain Reaction
Risk Factors
Sex Factors
Smoking
Survival Rate
COVID-19 epidemiology
COVID-19 mortality
Pandemics
SARS-CoV-2 genetics
Subjects
Details
- Language :
- English
- ISSN :
- 2045-2322
- Volume :
- 10
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Scientific reports
- Publication Type :
- Academic Journal
- Accession number :
- 33244144
- Full Text :
- https://doi.org/10.1038/s41598-020-77698-4