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Clinical features and predictors of severity in COVID-19 patients with critical illness in Singapore.
- Source :
-
Scientific reports [Sci Rep] 2021 Apr 05; Vol. 11 (1), pp. 7477. Date of Electronic Publication: 2021 Apr 05. - Publication Year :
- 2021
-
Abstract
- We aim to describe a case series of critically and non-critically ill COVID-19 patients in Singapore. This was a multicentered prospective study with clinical and laboratory details. Details for fifty uncomplicated COVID-19 patients and ten who required mechanical ventilation were collected. We compared clinical features between the groups, assessed predictors of intubation, and described ventilatory management in ICU patients. Ventilated patients were significantly older, reported more dyspnea, had elevated C-reactive protein and lactate dehydrogenase. A multivariable logistic regression model identified respiratory rate (aOR 2.83, 95% CI 1.24-6.47) and neutrophil count (aOR 2.39, 95% CI 1.34-4.26) on admission as independent predictors of intubation with area under receiver operating characteristic curve of 0.928 (95% CI 0.828-0.979). Median APACHE II score was 19 (IQR 17-22) and PaO2/FiO2 ratio before intubation was 104 (IQR 89-129). Median peak FiO2 was 0.75 (IQR 0.6-1.0), positive end-expiratory pressure 12 (IQR 10-14) and plateau pressure 22 (IQR 18-26) in the first 24 h of ventilation. Median duration of ventilation was 6.5 days (IQR 5.5-13). There were no fatalities. Most COVID-19 patients in Singapore who required mechanical ventilation because of ARDS were extubated with no mortality.
- Subjects :
- Adult
Area Under Curve
C-Reactive Protein metabolism
COVID-19 virology
Dyspnea etiology
Female
Humans
Intensive Care Units
L-Lactate Dehydrogenase metabolism
Logistic Models
Male
Middle Aged
Neutrophils cytology
Prospective Studies
ROC Curve
Respiration, Artificial
Respiratory Rate
SARS-CoV-2 isolation & purification
Severity of Illness Index
Singapore
COVID-19 pathology
Subjects
Details
- Language :
- English
- ISSN :
- 2045-2322
- Volume :
- 11
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Scientific reports
- Publication Type :
- Academic Journal
- Accession number :
- 33820944
- Full Text :
- https://doi.org/10.1038/s41598-021-81377-3