Correlation Engine 2.0
Clear Search sequence regions

  • humans (1)
  • lungs (1)
  • oxygen (4)
  • patient (1)
  • trachea (3)
  • Sizes of these terms reflect their relevance to your search.

    This paper concerns improving endotracheal tube (ETT) insertion through advanced computational science modelling. The study aims to better understand endotracheal intubation (ETI) and reduce medical errors in intensive and critical care units since ETT insertion is unique for each patient, depending on age, gender, size, physiology, and underlying health conditions. We have employed computational fluid dynamics and biomechanics modelling to investigate the effect of ETT for three ventilation modes on (a) local oxygen delivery to the lungs, (b) air pressure and wall shear stress at the tracheal walls, and (c) oscillatory elastic deformation of the tracheal tissues and muscle. For the first time, we reveal how the ventilation mode and ETT insertion in the trachea may induce major complications, especially in long periods of ETT. We show that rotating the ETT or displacing it by 2 mm only can induce a significant rise in the tracheal pressure up to 177 cmH2O. This study, for the first time, shows the vital role of computers in biology and medicine to provide enhanced decision-making-support to clinicians and medical doctors dealing with ETI. Copyright © 2023 Elsevier Ltd. All rights reserved.


    T Dbouk, F Roger, D Drikakis, S Ali, H Menu, E Wiel. The impact of endotracheal intubation on oxygen delivery, trachea pressure and wall deformation. Computers in biology and medicine. 2023 Sep;164:107325

    Expand section icon Mesh Tags

    Expand section icon Substances

    PMID: 37586206

    View Full Text