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

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).

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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Contributors

Author: Ratko Djukanovic

Author: Graham Roberts

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