Enhancing the estimation of PaCO2 from etCO2 during ventilation through non-invasive parameters in the ovine model
The estimation of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mtext>PaCO</mml:mtext> <mml:mn>2</mml:mn></mml:msub> </mml:math> by the proposed equation is less biased than unaltered <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mtext>etCO</mml:mtext> <mml:mn>2</mml:mn></mml:msub> </mml:math> . The usage of this method in clinical practice or in applications like the automation of ventilation needs further investigation.
Authors
- Valerie Pfannschmidt (ORCID: https://orcid.org/0009-0001-0225-4149)
- Matthias Christian Hütten (ORCID: https://orcid.org/0000-0003-4870-5782)
- André Stollenwerk (ORCID: https://orcid.org/0000-0002-9195-535X)
- Thorsten W Orlikowsky (ORCID: https://orcid.org/0000-0001-7123-0629)
- Lena Olivier (ORCID: https://orcid.org/0000-0003-0169-4510)
- Mark Schoberer (ORCID: https://orcid.org/0000-0002-6827-1849)
- Mike Grüne
Institutions
- Maastricht University (NL)
- Universitätsklinikum Aachen (DE)
- RWTH Aachen University (DE)
Publication Details
- Journal
- BioMedical Engineering OnLine
- Published
- 2024-10-24
- DOI
- https://doi.org/10.1186/s12938-024-01292-2
- Citations
- 2
- Primary Topic
- Neonatal Respiratory Health Research
- Type
- article
- Field-Weighted Citation Impact
- 0.84
Funders
- Deutsche Forschungsgemeinschaft