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Personalised 3D printed respirators for healthcare workers during the COVID-19 pandemic.
Roche, Aidan D; McConnell, Alistair C; Donaldson, Karen; Lawson, Angus; Tan, Spring; Toft, Kate; Cairns, Gillian; Colle, Alexandre; Coleman, Andrew A; Stewart, Ken; Digard, Paul; Norrie, John; Stokes, Adam A.
Afiliação
  • Roche AD; Deanery of Clinical Sciences, Queens Medical Research Institute, The University of Edinburgh, Edinburgh, United Kingdom.
  • McConnell AC; School of Engineering, Institute for Integrated Micro and Nano Systems, The University of Edinburgh, Edinburgh, United Kingdom.
  • Donaldson K; School of Engineering, Institute for Integrated Micro and Nano Systems, The University of Edinburgh, Edinburgh, United Kingdom.
  • Lawson A; Edinburgh Medical School, The University of Edinburgh, Edinburgh, United Kingdom.
  • Tan S; Roslin Institute, The University of Edinburgh, Edinburgh, United Kingdom.
  • Toft K; Department of Speech and Language Therapy, St John's Hospital, Livingston, United Kingdom.
  • Cairns G; Department of Speech and Language Therapy, Royal Hospital for Sick Children, Edinburgh, United Kingdom.
  • Colle A; School of Engineering, Institute for Integrated Micro and Nano Systems, The University of Edinburgh, Edinburgh, United Kingdom.
  • Coleman AA; Bayes Centre, University of Edinburgh, Edinburgh, United Kingdom.
  • Stewart K; Deanery of Clinical Sciences, Queens Medical Research Institute, The University of Edinburgh, Edinburgh, United Kingdom.
  • Digard P; Roslin Institute, The University of Edinburgh, Edinburgh, United Kingdom.
  • Norrie J; Edinburgh Clinical Trials Unit, The University of Edinburgh, Edinburgh, United Kingdom.
  • Stokes AA; School of Engineering, Institute for Integrated Micro and Nano Systems, The University of Edinburgh, Edinburgh, United Kingdom.
Front Med Technol ; 4: 963541, 2022.
Article em En | MEDLINE | ID: mdl-35982716
ABSTRACT
Widespread issues in respirator availability and fit have been rendered acutely apparent by the COVID-19 pandemic. This study sought to determine whether personalized 3D printed respirators provide adequate filtration and function for healthcare workers through a Randomized Controlled Trial (RCT). Fifty healthcare workers recruited within NHS Lothian, Scotland, underwent 3D facial scanning or 3D photographic reconstruction to produce 3D printed personalized respirators. The primary outcome measure was quantitative fit-testing to FFP3 standard. Secondary measures included respirator comfort, wearing experience, and function instrument (R-COMFI) for tolerability, Modified Rhyme Test (MRT) for intelligibility, and viral decontamination on respirator material. Of the 50 participants, 44 passed the fit test with the customized respirator, not significantly different from the 38 with the control (p = 0.21). The customized respirator had significantly improved comfort over the control respirator in both simulated clinical conditions (p < 0.0001) and during longer wear (p < 0.0001). For speech intelligibility, both respirators performed equally. Standard NHS decontamination agents were able to eradicate 99.9% of viral infectivity from the 3D printed plastics tested. Personalized 3D printed respirators performed to the same level as control disposable FFP3 respirators, with clear communication and with increased comfort, wearing experience, and function. The materials used were easily decontaminated of viral infectivity and would be applicable for sustainable and reusable respirators.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Clinical_trials Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Clinical_trials Idioma: En Ano de publicação: 2022 Tipo de documento: Article