Title |
Characterization of pulmonary impairment associated with COVID-19 in patients requiring mechanical ventilation
|
---|---|
Published in |
Revista Brasileira de Terapia Intensiva, January 2021
|
DOI | 10.5935/0103-507x.20210007 |
Pubmed ID | |
Authors |
Edouard Virot, Cyrille Mathien, Valentin Pointurier, Antoine Poidevin, Guylaine Labro, Luis Pinto, Louise Marie Jandeaux, Joy Mootien, Khaldoun Kuteifan |
Abstract |
To detect early respiratory and hemodynamic instability to characterize pulmonary impairment in patients with severe COVID-19. We retrospectively analyzed data collected from COVID-19 patients suffering from acute respiratory failure requiring intubation and mechanical ventilation. We used transpulmonary thermodilution assessment with a PiCCO™ device. We collected demographic, respiratory, hemodynamic and echocardiographic data within the first 48 hours after admission. Descriptive statistics were used to summarize the data. Fifty-three patients with severe COVID-19 were admitted between March 22nd and April 7th. Twelve of them (22.6%) were monitored with a PiCCO™ device. Upon admission, the global-end diastolic volume indexed was normal (mean 738.8mL ± 209.2) and moderately increased at H48 (879mL ± 179), and the cardiac index was subnormal (2.84 ± 0.65). All patients showed extravascular lung water over 8mL/kg on admission (17.9 ± 8.9). We did not identify any argument for cardiogenic failure. In the case of severe COVID-19 pneumonia, hemodynamic and respiratory presentation is consistent with pulmonary edema without evidence of cardiogenic origin, favoring the diagnosis of acute respiratory distress syndrome. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 42 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 10 | 24% |
Student > Master | 4 | 10% |
Student > Doctoral Student | 3 | 7% |
Researcher | 2 | 5% |
Lecturer | 1 | 2% |
Other | 5 | 12% |
Unknown | 17 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 11 | 26% |
Nursing and Health Professions | 9 | 21% |
Unspecified | 1 | 2% |
Agricultural and Biological Sciences | 1 | 2% |
Biochemistry, Genetics and Molecular Biology | 1 | 2% |
Other | 2 | 5% |
Unknown | 17 | 40% |