Evidence map›Paper›PMID 26662814›Full record

ArticleIntensive care medicine experimental2015

Computational simulation indicates that moderately high-frequency ventilation can allow safe reduction of tidal volumes and airway pressures in ARDS patients.

Wenfei Wang, Anup Das, Oanna Cole, Marc Chikhani, Jonathan G Hardman, Declan G Bates

Open access · goldAbstract read
In one paragraph

Article in Intensive care medicine experimental, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 37% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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

6 authors at 2 institutions in 1 country.

Wenfei WangSchool of Engineering, University of Warwick, Coventry, CV4 7AL, UK. Wenfei.Wang@warwick.ac.uk.
Anup DasSchool of Engineering, University of Warwick, Coventry, CV4 7AL, UK. Anup.Das@warwick.ac.uk.
Oanna ColeAnaesthesia & Critical Care Research Group, School of Medicine, University of Nottingham, Nottingham, NG7 2UH, UK. minnnie_2000@yahoo.fr.
Marc ChikhaniAnaesthesia & Critical Care Research Group, School of Medicine, University of Nottingham, Nottingham, NG7 2UH, UK. Marc.Chikhani@nottingham.ac.uk.
Jonathan G HardmanAnaesthesia & Critical Care Research Group, School of Medicine, University of Nottingham, Nottingham, NG7 2UH, UK. J.Hardman@nottingham.ac.uk.
Declan G BatesSchool of Engineering, University of Warwick, Coventry, CV4 7AL, UK. D.Bates@warwick.ac.uk.
University of Nottingham · GBUniversity of Warwick · GB

Funding

Medical Research Council G1002017Medical Research Council MR/K019783/1
6 · The paper itself

Abstract

backgroundA recent prospective trial using porcine models of severe acute respiratory distress syndrome (ARDS) indicated that positive-pressure ventilation delivered by a conventional intensive care ventilator at a moderately high frequency allows safe reduction of tidal volume below 6 ml/kg, leading to more protective ventilation. We aimed to explore whether these results would be replicated when implementing similar ventilation strategies in a high-fidelity computational simulator, tuned to match data on the responses of a number of human ARDS patients to different ventilator inputs.

methodsWe evaluated three different strategies for managing the trade-off between increasing respiratory rate and reducing tidal volume while attempting to maintain the partial pressure of carbon dioxide in arterial blood (PaCO2) constant on a computational simulator configured with ARDS patient datasets.

resultsFor a fixed sequence of stepwise increases in the respiratory rate, corresponding decreases in tidal volume to keep the alveolar minute ventilation and inspiratory flow constant were calculated according to standard formulae. When applied on the simulator, however, these sequences of ventilator settings failed to maintain PaCO2 adequately in the virtual patients considered. In contrast, an approach based on combining numerical optimisation methods with computational simulation allowed a sequence of tidal volume reductions to be computed for each virtual patient that maintained PaCO2 levels while significantly reducing peak airway pressures and dynamic alveolar strain in all patients.

conclusionsOur study supports the proposition that moderately high-frequency respiratory rates can allow more protective ventilation of ARDS patients and highlights the potential role of high-fidelity simulators in computing optimised and personalised ventilator settings for individual patients using this approach.

Indexed as

Acute respiratory distress syndromeComputational simulationPositive-pressure ventilationVentilator-induced lung injury

Identifiers

PMID26662814
PMCPMC4675773
OpenAlexW2191800038

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.