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Clinical characteristics and predictors of mortality associated with COVID-19 in elderly patients from a long-term care facility.
- Source :
-
Scientific reports [Sci Rep] 2020 Nov 30; Vol. 10 (1), pp. 20834. Date of Electronic Publication: 2020 Nov 30. - Publication Year :
- 2020
-
Abstract
- Since December 2019, coronavirus disease 2019 (COVID-19) pandemic has spread from China all over the world and many COVID-19 outbreaks have been reported in long-term care facilities (LCTF). However, data on clinical characteristics and prognostic factors in such settings are scarce. We conducted a retrospective, observational cohort study to assess clinical characteristics and baseline predictors of mortality of COVID-19 patients hospitalized after an outbreak of SARS-CoV-2 infection in a LTCF. A total of 50 patients were included. Mean age was 80 years (SD, 12 years), and 24/50 (57.1%) patients were males. The overall in-hospital mortality rate was 32%. At Cox regression analysis, significant predictors of in-hospital mortality were: hypernatremia (HR 9.12), lymphocyte count < 1000 cells/µL (HR 7.45), cardiovascular diseases other than hypertension (HR 6.41), and higher levels of serum interleukin-6 (IL-6, pg/mL) (HR 1.005). Our study shows a high in-hospital mortality rate in a cohort of elderly patients with COVID-19 and hypernatremia, lymphopenia, CVD other than hypertension, and higher IL-6 serum levels were identified as independent predictors of in-hospital mortality. Given the small population size as major limitation of our study, further investigations are necessary to better understand and confirm our findings in elderly patients.
- Subjects :
- Aged
Aged, 80 and over
Cardiovascular Diseases complications
China epidemiology
Cytokine Release Syndrome pathology
Female
Hospitalization
Humans
Hypernatremia complications
Interleukin-6 blood
Lymphopenia complications
Male
Nursing Homes
Risk Factors
SARS-CoV-2
COVID-19 diagnosis
COVID-19 mortality
Hospital Mortality
Long-Term Care statistics & numerical data
Subjects
Details
- Language :
- English
- ISSN :
- 2045-2322
- Volume :
- 10
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Scientific reports
- Publication Type :
- Academic Journal
- Accession number :
- 33257703
- Full Text :
- https://doi.org/10.1038/s41598-020-77641-7