Evidence map›Paper›PMID 37193969›Full record

ArticleBiomedical engineering online2023

SOLVe: a closed-loop system focused on protective mechanical ventilation.

Philip von Platen, Philipp A Pickerodt, Martin Russ, Mahdi Taher, Lea Hinken, Wolfgang Braun, Rainer Köbrich, Anake Pomprapa, Roland C E Francis, Steffen Leonhardt and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedical engineering online, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Thoracic trauma WSES-AAST guidelines.World journal of emergency surgery : WJES · 2025
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Philip von PlatenChair for Medical Information Technology, RWTH Aachen University, Aachen, Germany. platen@hia.rwth-aachen.de.
Philipp A PickerodtDepartment 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.
Martin RussDepartment 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.
Mahdi TaherDepartment 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.
Lea HinkenFritz Stephan GmbH, Gackenbach, Germany.
Wolfgang BraunFritz Stephan GmbH, Gackenbach, Germany.
Rainer KöbrichEKU Elektronik GmbH, Leiningen, Germany.
Anake PomprapaChair for Medical Information Technology, RWTH Aachen University, Aachen, Germany.
Roland C E FrancisDepartment 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.
Steffen LeonhardtChair for Medical Information Technology, RWTH Aachen University, Aachen, Germany.
Marian WalterChair for Medical Information Technology, RWTH Aachen University, Aachen, Germany.

Funding

Bundesministerium für Bildung und Forschung 13GW0240
6 · The paper itself

Abstract

backgroundMechanical 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.

resultsWe 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.

conclusionsThe presented system can provide personalised and lung-protective ventilation and reduce clinician workload in clinical practice.

Indexed as

Respiration, ArtificialRespiratory Distress SyndromeAnimalsLungPilot ProjectsRespirationTidal VolumeAcute respiratory distress syndromePhysiological closed-loop controlProtective ventilation

Identifiers

PMID37193969
PMCPMC10185964

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.