Evidence map›Paper›PMID 34985624›Full record

Article3D printing in medicine2022

A computational fluid dynamics assessment of 3D printed ventilator splitters and restrictors for differential multi-patient ventilation.

Daniel J Duke, Alexander L Clarke, Andrew L Stephens, Lee Djumas, Shaun D Gregory

Abstract read
In one paragraph

Article in 3D printing in medicine, 2022. 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
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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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.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Daniel J DukeDepartment of Mechanical & Aerospace Engineering, Monash University, Clayton, 3800, Victoria, Australia. daniel.duke@monash.edu.ORCID http://orcid.org/0000-0001-8692-6493
Alexander L ClarkeDepartment of Anaesthesia, Royal Women's Hospital, Parkville, 3052, Victoria, Australia.
Andrew L StephensCardioRespiratory Engineering and Technology Laboratory (CREATElab), Baker Heart and Diabetes Institute, Melbourne, 3004, Victoria, Australia.
Lee DjumasDepartment of Materials Engineering, Monash University, Clayton, 3800, Victoria, Australia.
Shaun D GregoryDepartment of Mechanical & Aerospace Engineering, Monash University, Clayton, 3800, Victoria, Australia.

Funding

Australian Research Council DP20012016Australian Research Council LP190100938National Heart Foundation of Australia 102062
6 · The paper itself

Abstract

backgroundThe global pandemic of novel coronavirus (SARS-CoV-2) has led to global shortages of ventilators and accessories. One solution to this problem is to split ventilators between multiple patients, which poses the difficulty of treating two patients with dissimilar ventilation needs. A proposed solution to this problem is the use of 3D-printed flow splitters and restrictors. There is little data available on the reliability of such devices and how the use of different 3D printing methods might affect their performance.

methodsWe performed flow resistance measurements on 30 different 3D-printed restrictor designs produced using a range of fused deposition modelling and stereolithography printers and materials, from consumer grade printers using polylactic acid filament to professional printers using surgical resin. We compared their performance to novel computational fluid dynamics models driven by empirical ventilator flow rate data. This indicates the ideal performance of a part that matches the computer model.

resultsThe 3D-printed restrictors varied considerably between printers and materials to a sufficient degree that would make them unsafe for clinical use without individual testing. This occurs because the interior surface of the restrictor is rough and has a reduced nominal average diameter when compared to the computer model. However, we have also shown that with careful calibration it is possible to tune the end-inspiratory (tidal) volume by titrating the inspiratory time on the ventilator.

conclusionsComputer simulations of differential multi patient ventilation indicate that the use of 3D-printed flow splitters is viable. However, in situ testing indicates that using 3D printers to produce flow restricting orifices is not recommended, as the flow resistance can deviate significantly from expected values depending on the type of printer used.

trial registrationNot applicable.

Indexed as

AirflowCOVID-19Mechanical ventilationRestrictorSplitterVentilator splitting

Identifiers

PMID34985624
PMCPMC8727976

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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.