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

Identification of new spirometric indices predicting severe COPD

R Kammoun, S Sallemi, F Elleuch, S Ben Jmeaa, I Kammoun, K Masmoudi
European Respiratory Journal 2022 60: 4106; DOI: 10.1183/13993003.congress-2022.4106
R Kammoun
CHU Habib Bourguiba, Sfax, Tunisia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
S Sallemi
CHU Habib Bourguiba, Sfax, Tunisia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
F Elleuch
CHU Habib Bourguiba, Sfax, Tunisia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
S Ben Jmeaa
CHU Habib Bourguiba, Sfax, Tunisia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
I Kammoun
CHU Habib Bourguiba, Sfax, Tunisia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
K Masmoudi
CHU Habib Bourguiba, Sfax, Tunisia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Info & Metrics
Loading

Abstract

Introduction: Grading the severity of COPD is based traditionally on the forced expiratory volume in the first second FEV1 (%).

Objectives: To identify new spirometric indices in addition to FEV1 (%) predicting severe COPD.

Methods: This was a retrospective study conducted at the functional exploration department of Sfax Tunisia including patients with COPD. COPD was defined as a FEV1s/Forced vital capacity (FVC) ratio < 70% after a BD. The severity of COPD was assessed basing on the FEV1 (%) post (BD). Thus, COPD is severe if FEV1 (%) post (BD)<50 %. The forced expiratory time (FET), the forced vital capacity (FVC), the forced expiratory volume FEV 3 were recorded. Analyses were performed using the SPSS 20 software. A p < 0.05 was significant.

Results: One hundred and forty-five patients were included. The mean age (years) was respectively 65.43 ± 9,7. The COPD was severe in 44.1 % (G1). Compared to non-severe COPD (G2), the G1 had significantly lower FEV 3(l), lower FVC (l) /FET and lower FVC (%) /FET before and after BD. The mean of FVC(l)/FET before BD in G1 and G2 were respectively 0.30 ± 0,12 and 0.43 ± 0,15. In addition, there was a strong significant correlation between these ratios and the FEV 1 (%) (r > 0.6, p<0.05).

Conclusion: The FVC /FET ratios seem to be useful to predict severe COPD

  • Adults
  • COPD - diagnosis
  • Spirometry

Footnotes

Cite this article as Eur Respir J 2022; 60: Suppl. 66, 4106.

This article was presented at the 2022 ERS International Congress, in session “-”.

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 2022
Previous
Back to top
Vol 60 Issue suppl 66 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.
Identification of new spirometric indices predicting severe COPD
(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
Identification of new spirometric indices predicting severe COPD
R Kammoun, S Sallemi, F Elleuch, S Ben Jmeaa, I Kammoun, K Masmoudi
European Respiratory Journal Sep 2022, 60 (suppl 66) 4106; DOI: 10.1183/13993003.congress-2022.4106

Citation Manager Formats

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

Share
Identification of new spirometric indices predicting severe COPD
R Kammoun, S Sallemi, F Elleuch, S Ben Jmeaa, I Kammoun, K Masmoudi
European Respiratory Journal Sep 2022, 60 (suppl 66) 4106; DOI: 10.1183/13993003.congress-2022.4106
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

  • Use of digital measurement of medication adherence and lung function to guide the management of uncontrolled asthma: The INCA Sun randomized clinical trial
  • Development of a daily predictive model for the exacerbation of chronic obstructive pulmonary disease
  • Health status relationship with exacerbations in a real-world cohort of patients with physician-assigned COPD in NOVELTY
Show more 05.02 - Monitoring airway disease

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