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

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

Abstract

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 :
13648535
Volume :
25
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Critical Care
Publication Type :
Academic Journal
Accession number :
edsdoj.f19f7338008a497a81a43158e379f615
Document Type :
article
Full Text :
https://doi.org/10.1186/s13054-021-03751-x