Longitudinal stability of asthma characteristics and biomarkers from the Airways Disease Endotyping for Personalized Therapeutics (ADEPT) study
| Autor: | M. Laviolette, Pascal Chanez, Pierre-Olivier Girodet, Steven G. Kelsen, Sumita Khatri, JM FitzGerald, Elliot S. Barnathan, Celeste Porsbjerg, Joel N. Kline, Vedrana S. Susulic, Philip E. Silkoff, Vibeke Backer, Dave Singh, Matthew J. Loza, Patrick Berger, F. Baribaud |
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| Rok vydání: | 2016 |
| Předmět: |
Male
Severity of Illness Index 0302 clinical medicine Risk Factors Bronchodilator Prevalence 030212 general & internal medicine medicine.diagnostic_test Research Support Non-U.S. Gov't Middle Aged respiratory system Clinical Trial Longitudinal stability Bronchodilator Agents Respiratory Function Tests Europe Multicenter Study Phenotypes Treatment Outcome Asthma Control Questionnaire Female medicine.symptom Pulmonary and Respiratory Medicine Adult Spirometry medicine.medical_specialty medicine.drug_class Sensitivity and Specificity Severity 03 medical and health sciences FEV1/FVC ratio Internal medicine Severity of illness Journal Article medicine Humans Asthma business.industry Research Profiling Sputum Reproducibility of Results medicine.disease respiratory tract diseases 030228 respiratory system North America Exhaled nitric oxide Physical therapy business Biomarkers |
| Zdroj: | Silkoff, P E, Laviolette, M, Singh, D, FitzGerald, J M, Kelsen, S, Backer, V, Porsbjerg, C, Girodet, P O, Berger, P, Kline, J N, Khatri, S, Chanez, P, Susulic, V S, Barnathan, E S, Baribaud, F, Loza, M J & ADEPT Investigators 2016, ' Longitudinal stability of asthma characteristics and biomarkers from the Airways Disease Endotyping for Personalized Therapeutics (ADEPT) study ', Respiratory research, vol. 17, pp. 43 . https://doi.org/10.1186/s12931-016-0360-5 Respiratory Research |
| ISSN: | 1465-993X |
| DOI: | 10.1186/s12931-016-0360-5 |
| Popis: | BACKGROUND: Asthma is a biologically heterogeneous disease and development of novel therapeutics requires understanding of pathophysiologic phenotypes. There is uncertainty regarding the stability of clinical characteristics and biomarkers in asthma over time. This report presents the longitudinal stability over 12 months of clinical characteristics and clinically accessible biomarkers from ADEPT.METHODS: Mild, moderate, and severe asthma subjects were assessed at 5 visits over 12 months. Assessments included patient questionnaires, spirometry, bronchodilator reversibility, fractional exhaled nitric oxide (FENO), and biomarkers measured in induced sputum.RESULTS: Mild (n = 52), moderate (n = 55), and severe (n = 51) asthma cohorts were enrolled from North America and Western Europe. For all clinical characteristics and biomarkers, group mean data showed no significant change from visit to visit. However, individual data showed considerable variability. FEV1/FVC ratio showed excellent reproducibility while pre-bronchodilator FEV1 and FVC were only moderately reproducible. Of note bronchodilator FEV1 reversibility showed low reproducibility, with the nonreversible phenotype much more reproducible than the reversible phenotype. The 7-item asthma control questionnaire (ACQ7) demonstrated moderate reproducibility for the combined asthma cohorts, but the uncontrolled asthma phenotype (ACQ7 > 1.5) was inconstant in mild and moderate asthma but stable in severe asthma. FENO demonstrated good reproducibility, with the FENO-low phenotype (FENO CONCLUSIONS: The ADEPT cohort showed group stability, individual stability in some parameters e.g. low FEV1/FVC ratio, and low FENO, but marked individual variability in other clinical characteristics and biomarkers e.g. type-2 biomarkers over 12 months. This variability is possibly related to seasonal variations in climate and allergen exposure, medication changes and acute exacerbations. The implications for patient selection strategies based on clinical biomarkers may be considerable. |
| Databáze: | OpenAIRE |
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