Evidence map›Paper›PMID 39780218›Full record

ArticleRespiratory research2025

Airway pressures generated by high flow nasal cannula in patients with acute hypoxemic respiratory failure: a computational study.

Hossein Shamohammadi, Liam Weaver, Sina Saffaran, Roberto Tonelli, Marianna Laviola, John G Laffey, Luigi Camporota, Timothy E Scott, Jonathan G Hardman, Enrico Clini and 1 more

Abstract read
In one paragraph

Article in Respiratory research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

11 authors.

Hossein ShamohammadiSchool of Engineering, University of Warwick, Coventry, CV4 7AL, UK.
Liam WeaverSchool of Engineering, University of Warwick, Coventry, CV4 7AL, UK.
Sina SaffaranSchool of Engineering, University of Warwick, Coventry, CV4 7AL, UK.
Roberto TonelliRespiratory Diseases Unit, Department of Medical and Surgical Sciences, University Hospital of Modena, University of Modena and Reggio Emilia, Modena, Italy.
Marianna LaviolaAnaesthesia and Critical Care, Injury Inflammation and Recovery Sciences, School of Medicine, University of Nottingham, Nottingham, NG7 2UH, UK.
John G LaffeyAnaesthesia and Intensive Care Medicine, School of Medicine, Galway University Hospitals, University of Galway, Galway, H91 TK33, Ireland.
Luigi CamporotaIntensive Care Medicine, Division of Asthma Allergy and Lung Biology, Guy's and St Thomas' NHS Foundation Trust, King's College London, London, UK.
Timothy E ScottCentre for Biomechanics and Rehabilitation Technologies, Stoke on Trent, University of Staffordshire, Stoke-on-Trent, ST4 2DF, UK.
Jonathan G HardmanAnaesthesia and Critical Care, Injury Inflammation and Recovery Sciences, School of Medicine, University of Nottingham, Nottingham, NG7 2UH, UK.
Enrico CliniRespiratory Diseases Unit, Department of Medical and Surgical Sciences, University Hospital of Modena, University of Modena and Reggio Emilia, Modena, Italy. enrico.clini@unimore.it.
Declan G BatesSchool of Engineering, University of Warwick, Coventry, CV4 7AL, UK.

Funding

Engineering and Physical Sciences Research Council EP/W000490/1Fisher and Paykel Healthcare R.ESEE.3441
6 · The paper itself

Abstract

INTRODUCTION AND

objectivesHigh flow nasal cannula (HFNC) therapy is an increasingly popular mode of non-invasive respiratory support for the treatment of patients with acute hypoxemic respiratory failure (AHRF). Previous experimental studies in healthy subjects have established that HFNC generates flow-dependent positive airway pressures, but no data is available on the levels of mean airway pressure (mP MATERIALS AND

methodsWe developed a high-fidelity mechanistic computational model of the cardiopulmonary system during HFNC therapy using data from healthy subjects, and then measured the mP

resultsWhen calibrated to represent normal lung physiology in healthy subjects, our model recapitulates the airway pressures produced by HFNC at different flow rates in healthy volunteers who were breathing normally, with their mouths closed or open. When different amounts of alveolar consolidation/collapse are implemented in the model to reflect the pathophysiology of AHRF, the mP

conclusionsOur results suggest that the airway pressures produced by HFNC in patients with AHRF could be higher than is currently assumed based on experimental data from healthy subjects, particularly in patients whose mouths remain closed. Higher levels of PEEP could be beneficial if they lead to alveolar recruitment and improved lung compliance, but could cause alveolar overdistension if they do not, motivating the close monitoring of the effects of HFNC on lung mechanics. Further clinical studies are warranted to directly measure the airway pressures produced by HFNC in patients with different severities of AHRF.

Indexed as

CannulaRespiratory InsufficiencyAcute DiseaseAdultComputer SimulationFemaleHumansHypoxiaMaleNoninvasive VentilationPositive-Pressure RespirationComputer simulationHigh flow nasal cannulaMathematical modellingNon-invasive respiratory supportPositive end expiratory pressure

Identifiers

PMID39780218
PMCPMC11715915

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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.