Academic Journal
Enhancing the estimation of PaCO2 from etCO2 during ventilation through non-invasive parameters in the ovine model.
| Τίτλος: | Enhancing the estimation of PaCO |
|---|---|
| Συγγραφείς: | Grüne M; Department of Paediatric and Adolescent Medicine, RWTH Aachen University Hospital, Aachen, Germany. mike.gruene@rwth-aachen.de.; Embedded Software - Informatik 11, RWTH Aachen University, Aachen, Germany. mike.gruene@rwth-aachen.de., Olivier L; Department of Paediatric and Adolescent Medicine, RWTH Aachen University Hospital, Aachen, Germany., Pfannschmidt V; Embedded Software - Informatik 11, RWTH Aachen University, Aachen, Germany., Hütten M; MosaKids Children's Hospital, Maastricht University Medical Center, Maastricht, The Netherlands., Orlikowsky T; Department of Paediatric and Adolescent Medicine, RWTH Aachen University Hospital, Aachen, Germany., Stollenwerk A; Embedded Software - Informatik 11, RWTH Aachen University, Aachen, Germany., Schoberer M; Department of Paediatric and Adolescent Medicine, RWTH Aachen University Hospital, Aachen, Germany. |
| Πηγή: | Biomedical engineering online [Biomed Eng Online] 2024 Oct 24; Vol. 23 (1), pp. 104. Date of Electronic Publication: 2024 Oct 24. |
| Τύπος έκδοσης: | Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: BioMed Central Country of Publication: England NLM ID: 101147518 Publication Model: Electronic Cited Medium: Internet ISSN: 1475-925X (Electronic) Linking ISSN: 1475925X NLM ISO Abbreviation: Biomed Eng Online Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: London : BioMed Central, [2002- |
| Ιατρικοί όροι (MeSH): | Carbon Dioxide*/blood , Carbon Dioxide*/metabolism , Respiration, Artificial* , Blood Gas Analysis*, Animals ; Sheep ; Animals, Newborn ; Models, Animal ; Partial Pressure |
| Περίληψη: | Background: In mechanically ventilated neonates, the arterial partial pressure of INLINEMATH ( INLINEMATH ) is an important indicator for the adequacy of ventilation settings. Determining the INLINEMATH is commonly done using invasive blood gas analyses, which constitute risks for neonates and are typically only available infrequently. An accurate, reliable, and continuous estimation of INLINEMATH is of high interest for medical staff, giving the possibility of a closer monitoring and faster reactions to changes. We aim to present a non-invasive estimation method for INLINEMATH in neonates on the basis of end-tidal INLINEMATH ( INLINEMATH ) with inclusion of different physiological and ventilation parameters. The estimation method should be more accurate than an estimation by unaltered INLINEMATH measurements with regard to the mean absolute error and the standard deviation. Methods: Secondary data from 51 preterm lambs are used, due to its high comparability to preterm human data. We utilize robust linear regression on 863 INLINEMATH measurements below or equal to 75 mmHg from the first day of life. INLINEMATH along with a set of ventilation settings and measurements as well as vital parameters are included in the regression. Included independent variables are chosen iteratively by highest Pearson correlation to the remaining estimation deviation. Results: The evaluation is carried out on 12 additional neonatal lambs with 246 INLINEMATH measurements below or equal to 75 mmHg from the first two days of life. The estimation method shows a mean absolute error of 3.80 mmHg with a 4.92 mmHg standard deviation of differences and a standard error of 0.31 mmHg in comparison to measured INLINEMATH by blood gas analysis. Conclusions: The estimation of INLINEMATH by the proposed equation is less biased than unaltered INLINEMATH . The usage of this method in clinical practice or in applications like the automation of ventilation needs further investigation. (© 2024. The Author(s).) |
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| Contributed Indexing: | Keywords: Closed loop control; EtCO2; Mechanical ventilation; Neonates; PaCO2; Robust linear regression; Ventilation |
| Substance Nomenclature: | 142M471B3J (Carbon Dioxide) |
| Entry Date(s): | Date Created: 20241025 Date Completed: 20241025 Latest Revision: 20241030 |
| Update Code: | 20260130 |
| PubMed Central ID: | PMC11515479 |
| DOI: | 10.1186/s12938-024-01292-2 |
| PMID: | 39449028 |
| Βάση Δεδομένων: | MEDLINE |
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