Using dynamics of forced expiration to identify COPD where conventional criteria for the FEV1/FVC ratio do not match. Issue 6 (16th April 2015)
- Record Type:
- Journal Article
- Title:
- Using dynamics of forced expiration to identify COPD where conventional criteria for the FEV1/FVC ratio do not match. Issue 6 (16th April 2015)
- Main Title:
- Using dynamics of forced expiration to identify COPD where conventional criteria for the FEV1/FVC ratio do not match
- Authors:
- Topalovic, Marko
Exadaktylos, Vasileios
Decramer, Marc
Berckmans, Daniel
Troosters, Thierry
Janssens, Wim - Abstract:
- <abstract abstract-type="main"> <title>Abstract</title> <sec id="resp12540-sec-0001" sec-type="section"> <title>Background and objective</title> <p>The definition of chronic obstructive pulmonary disease (COPD) based on a fixed forced expiratory volume in 1 s (FEV<sub>1</sub>)/forced vital capacity (FVC) ratio or on the lower limits of FEV<sub>1</sub>/FVC of a healthy reference population is the subject of continuous debate. We explored whether dynamics of forced expiratory flow decline on spirometry can identify subjects with and without COPD when the two key diagnostic criteria are discordant.</p> </sec> <sec id="resp12540-sec-0002" sec-type="section"> <title>Methods</title> <p>Four hundred twenty‐three individuals with a history of ≥15 pack‐years smoking had pulmonary function measurements conducted. A second‐order input–output model was used to describe the dynamics of the forced expiration. The capability of the model parameters to predict presence of disease was explored with a support vector machine classifier. In the discordant individuals, newly classified subjects were validated by other pulmonary function tests.</p> </sec> <sec id="resp12540-sec-0003" sec-type="section"> <title>Results</title> <p>In the non‐discordant subjects (<italic>n</italic> = 370), the second‐order model was able to confirm a diagnosis of COPD in 95% of subjects (<italic>n</italic> = 351). In the discordant individuals (<italic>n</italic> = 53), the classification by dynamic flow analysis<abstract abstract-type="main"> <title>Abstract</title> <sec id="resp12540-sec-0001" sec-type="section"> <title>Background and objective</title> <p>The definition of chronic obstructive pulmonary disease (COPD) based on a fixed forced expiratory volume in 1 s (FEV<sub>1</sub>)/forced vital capacity (FVC) ratio or on the lower limits of FEV<sub>1</sub>/FVC of a healthy reference population is the subject of continuous debate. We explored whether dynamics of forced expiratory flow decline on spirometry can identify subjects with and without COPD when the two key diagnostic criteria are discordant.</p> </sec> <sec id="resp12540-sec-0002" sec-type="section"> <title>Methods</title> <p>Four hundred twenty‐three individuals with a history of ≥15 pack‐years smoking had pulmonary function measurements conducted. A second‐order input–output model was used to describe the dynamics of the forced expiration. The capability of the model parameters to predict presence of disease was explored with a support vector machine classifier. In the discordant individuals, newly classified subjects were validated by other pulmonary function tests.</p> </sec> <sec id="resp12540-sec-0003" sec-type="section"> <title>Results</title> <p>In the non‐discordant subjects (<italic>n</italic> = 370), the second‐order model was able to confirm a diagnosis of COPD in 95% of subjects (<italic>n</italic> = 351). In the discordant individuals (<italic>n</italic> = 53), the classification by dynamic flow analysis found 28 patients to be healthy whereas 25 patients were still classified as COPD. Hyperinflation, increased airways resistance and reduced dynamic volumes were observed in the newly identified COPD group of discordant subjects. When using non‐spirometry‐based pulmonary function criteria as a standard for correct diagnoses in the individual discordant subjects, the model allocated 68% (<italic>n</italic> = 36) of the discordant to a correct diagnosis.</p> </sec> <sec id="resp12540-sec-0004" sec-type="section"> <title>Conclusions</title> <p>Expiratory flow dynamics can detect airflow limitation and indicate the presence of COPD. In discordant subjects, our methodology allows a better identification of subjects with or without characteristics of COPD.</p> </sec> </abstract> … (more)
- Is Part Of:
- Respirology. Volume 20:Issue 6(2015)
- Journal:
- Respirology
- Issue:
- Volume 20:Issue 6(2015)
- Issue Display:
- Volume 20, Issue 6 (2015)
- Year:
- 2015
- Volume:
- 20
- Issue:
- 6
- Issue Sort Value:
- 2015-0020-0006-0000
- Page Start:
- 925
- Page End:
- 931
- Publication Date:
- 2015-04-16
- Subjects:
- Respiratory organs -- Diseases -- Periodicals
Respiratory organs -- Periodicals
612.2 - Journal URLs:
- http://www.blackwell-synergy.com/member/institutions/issuelist.asp?journal=res ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/resp.12540 ↗
- Languages:
- English
- ISSNs:
- 1323-7799
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 7777.666000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 4223.xml