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Bedside estimates of dead space using end-tidal CO2 are independently associated with mortality in ARDS
- 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.
- Subjects :
- Adult
Male
medicine.medical_specialty
ARDS
Dead space
Statistics as Topic
Validation Studies as Topic
Critical Care and Intensive Care Medicine
Independent predictor
Cohort Studies
Blood gas analysis
End-tidal CO2
Internal medicine
medicine
Humans
In patient
Mortality
Chicago
Univariate analysis
Respiratory Distress Syndrome
APACHE II
RC86-88.9
business.industry
Research
Medical emergencies. Critical care. Intensive care. First aid
Respiratory Dead Space
Carbon Dioxide
Middle Aged
medicine.disease
Logistic Models
ROC Curve
Cohort
Cardiology
Female
business
End tidal co2
Subjects
Details
- Language :
- English
- ISSN :
- 1466609X and 13648535
- Volume :
- 25
- Database :
- OpenAIRE
- Journal :
- Critical Care
- Accession number :
- edsair.doi.dedup.....307917d16d8e21036732a82c8155c86f