SOLVe: a closed-loop system focused on protective mechanical ventilation.
Autor: | von Platen P; Chair for Medical Information Technology, RWTH Aachen University, Aachen, Germany. platen@hia.rwth-aachen.de., Pickerodt PA; Department of Anesthesiology and Operative Intensive Care Medicine CCM CVK, Charité, Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany., Russ M; Department of Anesthesiology and Operative Intensive Care Medicine CCM CVK, Charité, Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany., Taher M; Department of Anesthesiology and Operative Intensive Care Medicine CCM CVK, Charité, Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany., Hinken L; Fritz Stephan GmbH, Gackenbach, Germany., Braun W; Fritz Stephan GmbH, Gackenbach, Germany., Köbrich R; EKU Elektronik GmbH, Leiningen, Germany., Pomprapa A; Chair for Medical Information Technology, RWTH Aachen University, Aachen, Germany., Francis RCE; Department of Anesthesiology and Operative Intensive Care Medicine CCM CVK, Charité, Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany.; Department of Anesthesiology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Uniklinikum Erlangen, Erlangen, Germany., Leonhardt S; Chair for Medical Information Technology, RWTH Aachen University, Aachen, Germany., Walter M; Chair for Medical Information Technology, RWTH Aachen University, Aachen, Germany. |
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Jazyk: | angličtina |
Zdroj: | Biomedical engineering online [Biomed Eng Online] 2023 May 16; Vol. 22 (1), pp. 47. Date of Electronic Publication: 2023 May 16. |
DOI: | 10.1186/s12938-023-01111-0 |
Abstrakt: | Background: Mechanical ventilation is an essential component in the treatment of patients with acute respiratory distress syndrome. Prompt adaptation of the settings of a ventilator to the variable needs of patients is essential to ensure personalised and protective ventilation. Still, it is challenging and time-consuming for the therapist at the bedside. In addition, general implementation barriers hinder the timely incorporation of new evidence from clinical studies into routine clinical practice. Results: We present a system combing clinical evidence and expert knowledge within a physiological closed-loop control structure for mechanical ventilation. The system includes multiple controllers to support adequate gas exchange while adhering to multiple evidence-based components of lung protective ventilation. We performed a pilot study on three animals with an induced ARDS. The system achieved a time-in-target of over 75 % for all targets and avoided any critical phases of low oxygen saturation, despite provoked disturbances such as disconnections from the ventilator and positional changes of the subject. Conclusions: The presented system can provide personalised and lung-protective ventilation and reduce clinician workload in clinical practice. (© 2023. The Author(s).) |
Databáze: | MEDLINE |
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