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Erschienen in: Journal of Clinical Monitoring and Computing 6/2016

04.03.2016 | Original Research

High veno-arterial carbon dioxide gradient is not predictive of worst outcome after an elective cardiac surgery: a retrospective cohort study

verfasst von: Jerome Morel, Nathalie Grand, Gregory Axiotis, Jean Baptiste Bouchet, Michael Faure, Christian Auboyer, Marco Vola, Serge Molliex

Erschienen in: Journal of Clinical Monitoring and Computing | Ausgabe 6/2016

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Abstract

Alteration of tissue perfusion is a main contributor of organ dysfunction. In cardiac surgery, the importance of organ dysfunction is associated with worse outcome. Central venous-arterial difference in CO2 tension (ΔCO2) has been proposed as a global marker of the adequacy of tissue perfusion in shock states. We hypothesized that ΔCO2 could be increased in case of postoperative organ failure or worse outcome. In this monocentric retrospective cohort study, we retrieved, from our database, 220 consecutive patients admitted in intensive care after an elective cardiac surgery. Four time points were formed: ICU admission, and 6, 24 and 48 h after. A ΔCO2 below 6 mmHg defined the normal range values. The SOFA score, intensive care unit and hospital length of stay, hospital and 6-month mortality rate were recorded. We compared patient with low ΔCO2 (<6 mmHg) and high ΔCO2 (≥6 mmHg). We included 55 (25 %) and 165 patients in low and high ΔCO2 groups, respectively. The SOFA score, the hospital and 6 months mortality rate were higher in patients with low ΔCO2. Surprisingly, we did not find results previously published in other surgical settings. In cardiac surgery, ΔCO2 has a low predictive value of outcome.
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Metadaten
Titel
High veno-arterial carbon dioxide gradient is not predictive of worst outcome after an elective cardiac surgery: a retrospective cohort study
verfasst von
Jerome Morel
Nathalie Grand
Gregory Axiotis
Jean Baptiste Bouchet
Michael Faure
Christian Auboyer
Marco Vola
Serge Molliex
Publikationsdatum
04.03.2016
Verlag
Springer Netherlands
Erschienen in
Journal of Clinical Monitoring and Computing / Ausgabe 6/2016
Print ISSN: 1387-1307
Elektronische ISSN: 1573-2614
DOI
https://doi.org/10.1007/s10877-016-9855-3

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