Skip to main content

Main menu

  • Home
  • Current issue
  • ERJ Early View
  • Past issues
  • Authors/reviewers
    • Instructions for authors
    • Submit a manuscript
    • Open access
    • COVID-19 submission information
    • Peer reviewer login
  • Alerts
  • Podcasts
  • Subscriptions
  • ERS Publications
    • European Respiratory Journal
    • ERJ Open Research
    • European Respiratory Review
    • Breathe
    • ERS Books
    • ERS publications home

User menu

  • Log in
  • Subscribe
  • Contact Us
  • My Cart

Search

  • Advanced search
  • ERS Publications
    • European Respiratory Journal
    • ERJ Open Research
    • European Respiratory Review
    • Breathe
    • ERS Books
    • ERS publications home

Login

European Respiratory Society

Advanced Search

  • Home
  • Current issue
  • ERJ Early View
  • Past issues
  • Authors/reviewers
    • Instructions for authors
    • Submit a manuscript
    • Open access
    • COVID-19 submission information
    • Peer reviewer login
  • Alerts
  • Podcasts
  • Subscriptions

Prediction of infant extubation success using the diaphragmatic electromyography (EMG) signal during a spontaneous breathing test (SBT)

Fahad Muhamed Shareef Arattu Thodika, Emma Williams, Imogen Chappelow, Theodore Dassios, Anne Greenough
European Respiratory Journal 2021 58: OA3955; DOI: 10.1183/13993003.congress-2021.OA3955
Fahad Muhamed Shareef Arattu Thodika
1Department of Women and Children’s Health, School of Life Course Sciences Faculty of Life Sciences and Medicine, King’s College, London, United Kingdom
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: fahad.shareef@kcl.ac.uk
Emma Williams
1Department of Women and Children’s Health, School of Life Course Sciences Faculty of Life Sciences and Medicine, King’s College, London, United Kingdom
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Imogen Chappelow
1Department of Women and Children’s Health, School of Life Course Sciences Faculty of Life Sciences and Medicine, King’s College, London, United Kingdom
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Theodore Dassios
2Neonatal Intensive Care Unit, King's College Hospital, London, United Kingdom
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Anne Greenough
1Department of Women and Children’s Health, School of Life Course Sciences Faculty of Life Sciences and Medicine, King’s College, London, United Kingdom
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Info & Metrics
Loading

Abstract

Introduction: Prolonged mechanical ventilation in infants can result in ventilator associated lung injury. Premature extubation, however, can be associated with cardiorespiratory compromise. Identification of an accurate predictor of extubation success is, therefore, essential.

Aim: To determine if diaphragmatic electrical activity during an SBT could predict extubation success in ventilated infants.

Methods: Infants deemed ready for extubation by the clinical team were assessed. The SBT was performed when infants were on endotracheal CPAP for 5–10 minutes (mins). A failed SBT was recorded when the heart rate dropped < 100bpm or a desaturation to 85% for > 15 seconds, despite a 15% increase in FiO2. The diaphragmatic electrical activity was assessed using surface electrodes 10 mins pre, during and 10 mins post SBT. The clinical team were unaware of the SBT or the diaphragmatic EMG analysis results. Infants failed extubation if they were reintubated within 48 hours.

Results: Twenty-eight infants, median (IQR) gestational age of 26.9 (25.2-28.4) weeks and post menstrual age (PMA) 30.5 (27.9–35.4) weeks, were studied. During the SBT, the infants had increases in the mean EMG amplitude (3.6 versus 2.2 μV, p<0.001) and mean area under the curve (MAUC) (5.3 versus 4 μV.s, p<0.05). Seven infants failed extubation and had a greater percentage increase in the MAUC (40.4 versus 6.3 %, p<0.05). A 29.6% increase in the MAUC during SBT had 71.4% sensitivity and 85.7% specificity in predicting extubation failure.

Conclusion: The diaphragmatic EMG signal during SBT might have a role in predicting extubation failure in ventilated infants.

  • Respiratory muscle
  • Neonates
  • Mechanical ventilation - weaning

Footnotes

Cite this article as: European Respiratory Journal 2021; 58: Suppl. 65, OA3955.

This abstract was presented at the 2021 ERS International Congress, in session “Prediction of exacerbations in patients with COPD”.

This is an ERS International Congress abstract. No full-text version is available. Further material to accompany this abstract may be available at www.ers-education.org (ERS member access only).

  • Copyright ©the authors 2021
Previous
Back to top
Vol 58 Issue suppl 65 Table of Contents
  • Table of Contents
  • Index by author
Email

Thank you for your interest in spreading the word on European Respiratory Society .

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Prediction of infant extubation success using the diaphragmatic electromyography (EMG) signal during a spontaneous breathing test (SBT)
(Your Name) has sent you a message from European Respiratory Society
(Your Name) thought you would like to see the European Respiratory Society web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
Prediction of infant extubation success using the diaphragmatic electromyography (EMG) signal during a spontaneous breathing test (SBT)
Fahad Muhamed Shareef Arattu Thodika, Emma Williams, Imogen Chappelow, Theodore Dassios, Anne Greenough
European Respiratory Journal Sep 2021, 58 (suppl 65) OA3955; DOI: 10.1183/13993003.congress-2021.OA3955

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero

Share
Prediction of infant extubation success using the diaphragmatic electromyography (EMG) signal during a spontaneous breathing test (SBT)
Fahad Muhamed Shareef Arattu Thodika, Emma Williams, Imogen Chappelow, Theodore Dassios, Anne Greenough
European Respiratory Journal Sep 2021, 58 (suppl 65) OA3955; DOI: 10.1183/13993003.congress-2021.OA3955
del.icio.us logo Digg logo Reddit logo Technorati logo Twitter logo CiteULike logo Connotea logo Facebook logo Google logo Mendeley logo

Jump To

  • Article
  • Info & Metrics
  • Tweet Widget
  • Facebook Like
  • Google Plus One

More in this TOC Section

  • Effect of upper airways during non-invasive high frequency oscillatory ventilation (nHFOV)
  • Health status of newborns from mothers with severe uncontrolled bronchial asthma
Show more Neonatology and paediatric intensive care

Related Articles

Navigate

  • Home
  • Current issue
  • Archive

About the ERJ

  • Journal information
  • Editorial board
  • Reviewers
  • Press
  • Permissions and reprints
  • Advertising

The European Respiratory Society

  • Society home
  • myERS
  • Privacy policy
  • Accessibility

ERS publications

  • European Respiratory Journal
  • ERJ Open Research
  • European Respiratory Review
  • Breathe
  • ERS books online
  • ERS Bookshop

Help

  • Feedback

For authors

  • Instructions for authors
  • Publication ethics and malpractice
  • Submit a manuscript

For readers

  • Alerts
  • Subjects
  • Podcasts
  • RSS

Subscriptions

  • Accessing the ERS publications

Contact us

European Respiratory Society
442 Glossop Road
Sheffield S10 2PX
United Kingdom
Tel: +44 114 2672860
Email: journals@ersnet.org

ISSN

Print ISSN:  0903-1936
Online ISSN: 1399-3003

Copyright © 2023 by the European Respiratory Society