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Bedside estimates of dead space using end-tidal CO2 are independently associated with mortality in ARDS

Authors :
Jesse B. Hall
Patrick Belvitch
Steven D. Pearson
Steven M. Dudek
Julie Lin
Bhakti K. Patel
John P. Kress
Yu Maw Htwe
K. S. Wolfe
M. R. Stutz
P. Lecompte-Osorio
Cole H. Pieroni
Anne S. Pohlman
Source :
Critical Care, Critical Care, Vol 25, Iss 1, Pp 1-7 (2021)
Publication Year :
2021
Publisher :
BioMed Central, 2021.

Abstract

Purpose In acute respiratory distress syndrome (ARDS), dead space fraction has been independently associated with mortality. We hypothesized that early measurement of the difference between arterial and end-tidal CO2 (arterial-ET difference), a surrogate for dead space fraction, would predict mortality in mechanically ventilated patients with ARDS. Methods We performed two separate exploratory analyses. We first used publicly available databases from the ALTA, EDEN, and OMEGA ARDS Network trials (N = 124) as a derivation cohort to test our hypothesis. We then performed a separate retrospective analysis of patients with ARDS using University of Chicago patients (N = 302) as a validation cohort. Results The ARDS Network derivation cohort demonstrated arterial-ET difference, vasopressor requirement, age, and APACHE III to be associated with mortality by univariable analysis. By multivariable analysis, only the arterial-ET difference remained significant (P = 0.047). In a separate analysis, the modified Enghoff equation ((PaCO2–PETCO2)/PaCO2) was used in place of the arterial-ET difference and did not alter the results. The University of Chicago cohort found arterial-ET difference, age, ventilator mode, vasopressor requirement, and APACHE II to be associated with mortality in a univariate analysis. By multivariable analysis, the arterial-ET difference continued to be predictive of mortality (P = 0.031). In the validation cohort, substitution of the arterial-ET difference for the modified Enghoff equation showed similar results. Conclusion Arterial to end-tidal CO2 (ETCO2) difference is an independent predictor of mortality in patients with ARDS.

Details

Language :
English
ISSN :
1466609X and 13648535
Volume :
25
Database :
OpenAIRE
Journal :
Critical Care
Accession number :
edsair.doi.dedup.....307917d16d8e21036732a82c8155c86f