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Late Breaking Abstract - Longitudinal analysis of variation in clinical features from the U-BIOPRED severe asthma cohort

Late Breaking Abstract - Longitudinal analysis of variation in clinical features from the U-BIOPRED severe asthma cohort
Late Breaking Abstract - Longitudinal analysis of variation in clinical features from the U-BIOPRED severe asthma cohort
Introduction: The U-BIOPRED cohort presents an exceptional opportunity to longitudinally monitor disease variation in severe asthma.

Aims: To determine the variability of severe asthma over 12-24 months in the U-BIOPRED cohort by initially focusing on clinical parameters; lung function, exacerbations and asthma symptom control.

Methods: Lung function, exacerbation history and asthma control questionnaire (ACQ-5) were determined at baseline (Shaw et al.) and longitudinally.

Results: 321 severe asthma patients were present in the longitudinal cohort with a mean of 454 days in the study. The longitudinal set of participants (321) were a good representation of the whole of severe asthma cohort at baseline (421). Most clinical and biomarker measurements including the FEV1 actual, exacerbation and ACQ means were not significantly different between the baseline and longitudinal visits- Table 1. There was no difference between the smoking and non-smoking cohorts. However at an individual level there was variation and some participants deteriorated, and some improved.

Summary: Longitudinal U-BIOPRED data quality is valid. Further methods of analysis will move away from characterisation of group means towards understanding individual factors relating to disease progression in the U-BIOPRED cohort.
0903-1936
Shaw, Dominick
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Bansal, Aruna T.
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Riley, John
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Bates, Stewart
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Pavlidis, Stelios
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Fleming, Louise J.
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Adcock, Ian M.
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Corfield, Julie
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Auffray, Charles
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Bigler, Jeanette
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Bisgaard, Hans
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Boedigheimer, Michael
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Bonnelykke, Klaus
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Bush, Andrew
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Chung, Kian Fan
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Djukanovic, Ratko
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Frey, Urs
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Fowler, Stephen J.
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Hashimoto, Simone
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Hedlin, Gunila
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Hu, Xuguang
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Murray, Claire
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Nordlund, Bjorn
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Singer, Florian
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Sterk, Peter J.
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Sousa, Ana R.
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Van Aalderen, Wim
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Wagers, Scott
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Yu, Wen
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Roberts, Graham
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Shaw, Dominick
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Bansal, Aruna T.
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Riley, John
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Bates, Stewart
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Pavlidis, Stelios
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Fleming, Louise J.
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Adcock, Ian M.
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Corfield, Julie
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Auffray, Charles
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Bigler, Jeanette
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Bisgaard, Hans
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Boedigheimer, Michael
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Bonnelykke, Klaus
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Bush, Andrew
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Chung, Kian Fan
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Djukanovic, Ratko
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Frey, Urs
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Fowler, Stephen J.
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Hashimoto, Simone
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Hedlin, Gunila
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Hu, Xuguang
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Murray, Claire
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Nordlund, Bjorn
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Singer, Florian
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Sterk, Peter J.
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Sousa, Ana R.
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Van Aalderen, Wim
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Wagers, Scott
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Yu, Wen
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Roberts, Graham
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Shaw, Dominick, Bansal, Aruna T., Riley, John, Bates, Stewart, Pavlidis, Stelios, Fleming, Louise J., Adcock, Ian M., Corfield, Julie, Auffray, Charles, Bigler, Jeanette, Bisgaard, Hans, Boedigheimer, Michael, Bonnelykke, Klaus, Bush, Andrew, Chung, Kian Fan, Djukanovic, Ratko, Frey, Urs, Fowler, Stephen J., Hashimoto, Simone, Hedlin, Gunila, Hu, Xuguang, Murray, Claire, Nordlund, Bjorn, Singer, Florian, Sterk, Peter J., Sousa, Ana R., Van Aalderen, Wim, Wagers, Scott, Yu, Wen and Roberts, Graham (2018) Late Breaking Abstract - Longitudinal analysis of variation in clinical features from the U-BIOPRED severe asthma cohort. European Respiratory Journal, 52 (Suppl 62), [OA3570]. (doi:10.1183/13993003.congress-2018.OA3570).

Record type: Meeting abstract

Abstract

Introduction: The U-BIOPRED cohort presents an exceptional opportunity to longitudinally monitor disease variation in severe asthma.

Aims: To determine the variability of severe asthma over 12-24 months in the U-BIOPRED cohort by initially focusing on clinical parameters; lung function, exacerbations and asthma symptom control.

Methods: Lung function, exacerbation history and asthma control questionnaire (ACQ-5) were determined at baseline (Shaw et al.) and longitudinally.

Results: 321 severe asthma patients were present in the longitudinal cohort with a mean of 454 days in the study. The longitudinal set of participants (321) were a good representation of the whole of severe asthma cohort at baseline (421). Most clinical and biomarker measurements including the FEV1 actual, exacerbation and ACQ means were not significantly different between the baseline and longitudinal visits- Table 1. There was no difference between the smoking and non-smoking cohorts. However at an individual level there was variation and some participants deteriorated, and some improved.

Summary: Longitudinal U-BIOPRED data quality is valid. Further methods of analysis will move away from characterisation of group means towards understanding individual factors relating to disease progression in the U-BIOPRED cohort.

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More information

Published date: 15 September 2018

Identifiers

Local EPrints ID: 430576
URI: http://eprints.soton.ac.uk/id/eprint/430576
ISSN: 0903-1936
PURE UUID: 87ee0f63-43ab-4676-b153-5d5c0663b40b
ORCID for Ratko Djukanovic: ORCID iD orcid.org/0000-0001-6039-5612
ORCID for Graham Roberts: ORCID iD orcid.org/0000-0003-2252-1248

Catalogue record

Date deposited: 03 May 2019 16:30
Last modified: 10 Nov 2021 03:13

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Contributors

Author: Dominick Shaw
Author: Aruna T. Bansal
Author: John Riley
Author: Stewart Bates
Author: Stelios Pavlidis
Author: Louise J. Fleming
Author: Ian M. Adcock
Author: Julie Corfield
Author: Charles Auffray
Author: Jeanette Bigler
Author: Hans Bisgaard
Author: Michael Boedigheimer
Author: Klaus Bonnelykke
Author: Andrew Bush
Author: Kian Fan Chung
Author: Urs Frey
Author: Stephen J. Fowler
Author: Simone Hashimoto
Author: Gunila Hedlin
Author: Xuguang Hu
Author: Claire Murray
Author: Bjorn Nordlund
Author: Florian Singer
Author: Peter J. Sterk
Author: Ana R. Sousa
Author: Wim Van Aalderen
Author: Scott Wagers
Author: Wen Yu
Author: Graham Roberts ORCID iD

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