Evidence map›Paper›PMID 35410790›Full record

ArticleBritish journal of anaesthesia2022

Optimising respiratory support for early COVID-19 pneumonia: a computational modelling study.

Liam Weaver, Anup Das, Sina Saffaran, Nadir Yehya, Marc Chikhani, Timothy E Scott, John G Laffey, Jonathan G Hardman, Luigi Camporota, Declan G Bates

Abstract read
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Article in British journal of anaesthesia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Effects of CPAP and FiOAnnals of intensive care · 2023
    Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Liam WeaverSchool of Engineering, University of Warwick, Coventry, UK.
Anup DasSchool of Engineering, University of Warwick, Coventry, UK.
Sina SaffaranFaculty of Engineering Science, University College London, London, UK.
Nadir YehyaDepartment of Anaesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, USA.
Marc ChikhaniNottingham University Hospitals NHS Trust, Nottingham, UK.
Timothy E ScottAcademic Department of Military Anaesthesia and Critical Care, Royal Centre for Defence Medicine, ICT Centre, Birmingham, UK.
John G LaffeyAnaesthesia and Intensive Care Medicine, School of Medicine, NUI Galway, Ireland.
Jonathan G HardmanNottingham University Hospitals NHS Trust, Nottingham, UK; Anaesthesia & Critical Care, Division of Clinical Neuroscience, School of Medicine, University of Nottingham, Nottingham, UK.
Luigi CamporotaDepartment of Critical Care, Guy's and St Thomas' NHS Foundation Trust, London, UK. Electronic address: luigi.camporota@gstt.nhs.uk.
Declan G BatesSchool of Engineering, University of Warwick, Coventry, UK. Electronic address: d.bates@warwick.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOptimal respiratory support in early COVID-19 pneumonia is controversial and remains unclear. Using computational modelling, we examined whether lung injury might be exacerbated in early COVID-19 by assessing the impact of conventional oxygen therapy (COT), high-flow nasal oxygen therapy (HFNOT), continuous positive airway pressure (CPAP), and noninvasive ventilation (NIV).

methodsUsing an established multi-compartmental cardiopulmonary simulator, we first modelled COT at a fixed FiO

resultsHFNOT, CPAP, and NIV improved oxygenation compared with conventional therapy, but also initially increased total lung stress and strain. Improved oxygenation with CPAP reduced respiratory effort but lung stress/strain remained elevated for CPAP >5 cm H

conclusionsThe failure of noninvasive ventilatory support to reduce respiratory effort may exacerbate pulmonary injury in patients with early COVID-19 pneumonia. HFNOT reduces lung strain and achieves similar oxygenation to CPAP/NIV. Invasive mechanical ventilation may be less injurious than noninvasive support in patients with high respiratory effort.

Indexed as

COVID-19Lung InjuryNoninvasive VentilationRespiratory InsufficiencyComputer SimulationHumansOxygenOxygenacute respiratory failurecomputational modellingCOVID-19mechanical ventilationnoninvasive respiratory supportpatient self-inflicted lung injury

Identifiers

PMID35410790
PMCPMC8930396

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LicenceCC BY-NC-ND
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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.