Evidence map›Paper›PMID 35446853›Full record

ArticlePloS one2022

Quality versus emergency: How good were ventilation fittings produced by additive manufacturing to address shortages during the COVID19 pandemic?

Roman Hossein Khonsari, Mathilde Oranger, Pierre-Marc François, Alexis Mendoza-Ruiz, Karl Leroux, Ghilas Boussaid, Delphine Prieur, Jean-Pierre Hodge, Antoine Belle, Vincent Midler and 3 more

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Publications About COVID-19 Research by the BME Community.Annals of biomedical engineering · 2022
    Article
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

13 authors.

Roman Hossein KhonsariService de Chirurgie Maxillo-Faciale et Chirurgie Plastique, Hôpital Necker - Enfants Malades, Assistance Publique - Hôpitaux de Paris, Paris, France.ORCID 0000-0002-0649-1432
Mathilde OrangerService de Réhabilitation Respiratoire (Département R3S), Hôpital Pitié-Salpêtrière, Assistance Publique - Hôpitaux de Paris, Paris, France.
Pierre-Marc FrançoisBONE 3D, Paris, France.
Alexis Mendoza-RuizASV Santé, Gennevilliers, France.
Karl LerouxASV Santé, Gennevilliers, France.
Ghilas BoussaidService de Réhabilitation Respiratoire (Département R3S), Hôpital Pitié-Salpêtrière, Assistance Publique - Hôpitaux de Paris, Paris, France.
Delphine PrieurDélégation Inter-Départementale pour le Développement de la Fabrication Additive (DIDDFA), Direction générale, Assistance Publique - Hôpitaux de Paris, Paris, France.
Jean-Pierre HodgeASV Santé, Gennevilliers, France.
Antoine BelleService de Pneumologie, Centre Hospitalier Intercommunal de Compiègne-Noyon, Compiègne, France.
Vincent MidlerDépartement de la Maîtrise d'Ouvrage et de la Politique Technique - DEFIP, Assistance Publique - Hôpitaux de Paris, Paris, France.
Capucine Morelot-PanziniFaculté de Médecine, Sorbonne Université, Paris, France.
Maxime PatoutFaculté de Médecine, Sorbonne Université, Paris, France.ORCID 0000-0002-1366-8726
Jésus Gonzalez-BermejoService de Réhabilitation Respiratoire (Département R3S), Hôpital Pitié-Salpêtrière, Assistance Publique - Hôpitaux de Paris, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe coronavirus disease pandemic (COVID-19) increased the risk of shortage in intensive care devices, including fittings with intentional leaks. 3D-printing has been used worldwide to produce missing devices. Here we provide key elements towards better quality control of 3D-printed ventilation fittings in a context of sanitary crisis. MATERIAL AND

methodsFive 3D-printed designs were assessed for non-intentional (junctional and parietal) and intentional leaks: 4 fittings 3D-printed in-house using FDeposition Modelling (FDM), 1 FDM 3D-printed fitting provided by an independent maker, and 2 fittings 3D-printed in-house using Polyjet technology. Five industrial models were included as controls. Two values of wall thickness and the use of coating were tested for in-house FDM-printed devices.

resultsIndustrial and Polyjet-printed fittings had no parietal and junctional leaks, and satisfactory intentional leaks. In-house FDM-printed fittings had constant parietal leaks without coating, but this post-treatment method was efficient in controlling parietal sealing, even in devices with thinner walls (0.7 mm vs 2.3 mm). Nevertheless, the use of coating systematically induced absent or insufficient intentional leaks. Junctional leaks were constant with FDM-printed fittings but could be controlled using rubber junctions rather than usual rigid junctions. The properties of Polyjet-printed and FDM-printed fittings were stable over a period of 18 months.

conclusions3D-printing is a valid technology to produce ventilation devices but requires care in the choice of printing methods, raw materials, and post-treatment procedures. Even in a context of sanitary crisis, devices produced outside hospitals should be used only after professional quality control, with precise data available on printing protocols. The mechanical properties of ventilation devices are crucial for efficient ventilation, avoiding rebreathing of CO2, and preventing the dispersion of viral particles that can contaminate health professionals. Specific norms are still required to formalise quality control procedures for ventilation fittings, with the rise of 3D-printing initiatives and the perspective of new pandemics.

Indexed as

COVID-19PandemicsCritical CareHumansPrinting, Three-DimensionalVentilation

Identifiers

PMID35446853
PMCPMC9022824

What OpenQuestion holds

Textmetadata
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.