Model based prediction of plateau pressure in mechanically ventilated patients

Model based prediction of plateau pressure in mechanically ventilated patients

The risk of ventilator induced lung injury in mechanically ventilated (MV) critically ill patients can be mitigated by patient-specific optimisation of ventilator settings. Recent studies have shown that driving pressure, i.e. the difference between plateau pressure (Pplat) and PEEP, is a strong ind...

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Main Authors: Kretschmer Jörn, Patel Aakash, Docherty Paul D., Laufer Bernhard, Möller Knut
Format: Article
Language:English
Published: De Gruyter 2017-09-01
Series:Current Directions in Biomedical Engineering
Subjects:
mechanical ventilation
decision support
mathematical model
plateau pressure
Online Access:https://doi.org/10.1515/cdbme-2017-0062
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spelling doaj-a805fb6fa43e49b1a6dcc11d8e908cda2021-09-06T19:19:24ZengDe GruyterCurrent Directions in Biomedical Engineering2364-55042017-09-013230130410.1515/cdbme-2017-0062cdbme-2017-0062Model based prediction of plateau pressure in mechanically ventilated patientsKretschmer Jörn0Patel Aakash1Docherty Paul D.2Laufer Bernhard3Möller Knut4Institute of Technical Medicine, Furtwangen University, Villingen-Schwenningen, GermanyInstitute of Technical Medicine, Furtwangen University, Villingen-Schwenningen, GermanyDepartment of Mechanical Engineering, University of Canterbury, Christchurch, New ZealandInstitute of Technical Medicine, Furtwangen University, Villingen-Schwenningen, GermanyInstitute of Technical Medicine, Furtwangen University, Villingen-Schwenningen, GermanyThe risk of ventilator induced lung injury in mechanically ventilated (MV) critically ill patients can be mitigated by patient-specific optimisation of ventilator settings. Recent studies have shown that driving pressure, i.e. the difference between plateau pressure (Pplat) and PEEP, is a strong indicator for survival in MV patients suffering from ARDS. However, to measure Pplat, an extended end-inspiratory pause (EIP) has to be applied, possibly interrupting ventilation therapy. This study presents a method for predicting Pplat from normal breaths in MV patients.https://doi.org/10.1515/cdbme-2017-0062mechanical ventilationdecision supportmathematical modelplateau pressure
collection DOAJ
language English
format Article
sources DOAJ
author Kretschmer Jörn
Patel Aakash
Docherty Paul D.
Laufer Bernhard
Möller Knut
spellingShingle Kretschmer Jörn
Patel Aakash
Docherty Paul D.
Laufer Bernhard
Möller Knut
Model based prediction of plateau pressure in mechanically ventilated patients
Current Directions in Biomedical Engineering
mechanical ventilation
decision support
mathematical model
plateau pressure
author_facet Kretschmer Jörn
Patel Aakash
Docherty Paul D.
Laufer Bernhard
Möller Knut
author_sort Kretschmer Jörn
title Model based prediction of plateau pressure in mechanically ventilated patients
title_short Model based prediction of plateau pressure in mechanically ventilated patients
title_full Model based prediction of plateau pressure in mechanically ventilated patients
title_fullStr Model based prediction of plateau pressure in mechanically ventilated patients
title_full_unstemmed Model based prediction of plateau pressure in mechanically ventilated patients
title_sort model based prediction of plateau pressure in mechanically ventilated patients
publisher De Gruyter
series Current Directions in Biomedical Engineering
issn 2364-5504
publishDate 2017-09-01
description The risk of ventilator induced lung injury in mechanically ventilated (MV) critically ill patients can be mitigated by patient-specific optimisation of ventilator settings. Recent studies have shown that driving pressure, i.e. the difference between plateau pressure (Pplat) and PEEP, is a strong indicator for survival in MV patients suffering from ARDS. However, to measure Pplat, an extended end-inspiratory pause (EIP) has to be applied, possibly interrupting ventilation therapy. This study presents a method for predicting Pplat from normal breaths in MV patients.
topic mechanical ventilation
decision support
mathematical model
plateau pressure
url https://doi.org/10.1515/cdbme-2017-0062
work_keys_str_mv AT kretschmerjorn modelbasedpredictionofplateaupressureinmechanicallyventilatedpatients
AT patelaakash modelbasedpredictionofplateaupressureinmechanicallyventilatedpatients
AT dochertypauld modelbasedpredictionofplateaupressureinmechanicallyventilatedpatients
AT lauferbernhard modelbasedpredictionofplateaupressureinmechanicallyventilatedpatients
AT mollerknut modelbasedpredictionofplateaupressureinmechanicallyventilatedpatients
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