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Predictors of sputum and BAL eosinophilia in the Wessex Severe Asthma Cohort

Predictors of sputum and BAL eosinophilia in the Wessex Severe Asthma Cohort
Predictors of sputum and BAL eosinophilia in the Wessex Severe Asthma Cohort
Background: In severe asthma, the presence of airway eosinophilia is a key “treatable trait”. Airway eosinophilia may be proximal or distal, however work on predictors of airway eosinophilia have focussed on the proximal compartment which is less invasive to sample.

The Wessex Severe Asthma Cohort (WSAC) included 342 severe asthmatics for detailed phenotyping, including bronchoalveolar lavage (BAL) and sputum induction in some participants. We aimed to use data from WSAC to determine the most accurate non-invasive predictor of eosinophilia in participants with severe asthma.

Method: Severe asthmatics in WSAC were included if they underwent BAL or successful sputum induction. The value of Fraction of Exhaled Nitric Oxide (FeNO), blood eosinophil count and periostin in predicting sputum or BAL eosinophilia (3% or 1% respectively) were assessed using Receiver Operating Characteristic (ROC) curves.

Results: All three measures were more accurate at predicting BAL than sputum eosinophilia. FeNO demonstrated a higher predictive value than the other measures in both compartments. Optimal thresholds were similar across compartments for FeNO but more divergent for periostin and blood.

Conclusion: Within this cohort, FeNO was the strongest predictor of sputum or BAL eosinophilia. All factors assessed were stronger at predicting BAL eosinophilia than sputum.
0903-1936
Jones, Thomas
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Brown, Thomas
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Elliott, Scott
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Barber, Clair
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Gove, Kerry
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Lau, Laurie
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Rupani, Hitasha
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Chauhan, Anoop
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Howarth, Peter
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Ono, Junya
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Izuhara, Kenji
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Jones, Thomas
2ed43a38-d65d-4786-9208-a1e1298ce413
Brown, Thomas
fdd42359-a39d-4f22-b48d-015d9b94ec76
Elliott, Scott
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Barber, Clair
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Gove, Kerry
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Lau, Laurie
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Rupani, Hitasha
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Chauhan, Anoop
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Howarth, Peter
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Ono, Junya
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Izuhara, Kenji
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Jones, Thomas, Brown, Thomas, Elliott, Scott, Barber, Clair, Gove, Kerry, Lau, Laurie, Rupani, Hitasha, Chauhan, Anoop, Howarth, Peter, Ono, Junya and Izuhara, Kenji (2017) Predictors of sputum and BAL eosinophilia in the Wessex Severe Asthma Cohort. European Respiratory Journal, 50 (Suppl 61).

Record type: Meeting abstract

Abstract

Background: In severe asthma, the presence of airway eosinophilia is a key “treatable trait”. Airway eosinophilia may be proximal or distal, however work on predictors of airway eosinophilia have focussed on the proximal compartment which is less invasive to sample.

The Wessex Severe Asthma Cohort (WSAC) included 342 severe asthmatics for detailed phenotyping, including bronchoalveolar lavage (BAL) and sputum induction in some participants. We aimed to use data from WSAC to determine the most accurate non-invasive predictor of eosinophilia in participants with severe asthma.

Method: Severe asthmatics in WSAC were included if they underwent BAL or successful sputum induction. The value of Fraction of Exhaled Nitric Oxide (FeNO), blood eosinophil count and periostin in predicting sputum or BAL eosinophilia (3% or 1% respectively) were assessed using Receiver Operating Characteristic (ROC) curves.

Results: All three measures were more accurate at predicting BAL than sputum eosinophilia. FeNO demonstrated a higher predictive value than the other measures in both compartments. Optimal thresholds were similar across compartments for FeNO but more divergent for periostin and blood.

Conclusion: Within this cohort, FeNO was the strongest predictor of sputum or BAL eosinophilia. All factors assessed were stronger at predicting BAL eosinophilia than sputum.

Full text not available from this repository.

More information

Published date: September 2017
Venue - Dates: European Respiratory Society International Congress, Milan, Italy, 2017-09-09 - 2017-09-13

Identifiers

Local EPrints ID: 422514
URI: https://eprints.soton.ac.uk/id/eprint/422514
ISSN: 0903-1936
PURE UUID: 3b119b11-1276-4ca6-bac3-045eb061292a
ORCID for Clair Barber: ORCID iD orcid.org/0000-0001-5335-5129

Catalogue record

Date deposited: 25 Jul 2018 16:30
Last modified: 14 Mar 2019 01:27

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Contributors

Author: Thomas Jones
Author: Thomas Brown
Author: Scott Elliott
Author: Clair Barber ORCID iD
Author: Kerry Gove
Author: Laurie Lau
Author: Hitasha Rupani
Author: Anoop Chauhan
Author: Peter Howarth
Author: Junya Ono
Author: Kenji Izuhara

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