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Pulmonary biomarkers in COPD exacerbations: a systematic review
Angela Koutsokera1, Konstantinos Kostikas, Laurent P Nicod
1Department of Respiratory Medicine, University Hospital of Lausanne, Lausanne, Switzerland. angela.koutsokera@chuv.ch.
Respiratory Research
|October 23, 2013
Summary
Pulmonary biomarkers show potential for understanding exacerbations of COPD (ECOPD) and guiding treatment. However, no single biomarker is fully validated for widespread clinical use in managing COPD exacerbations.
Area of Science:
- Pulmonary Medicine
- Biomarker Research
- Clinical Diagnostics
Background:
- Exacerbations of COPD (ECOPD) impose a significant burden on patients and healthcare systems.
- Innovative sampling techniques have identified numerous pulmonary biomarkers for ECOPD.
- The clinical utility of these promising biomarkers is not yet fully established.
Purpose of the Study:
- To review and evaluate pulmonary biomarkers for their potential in managing ECOPD.
- To assess the correlation of biomarkers with clinical variables, outcomes, etiology, and treatment response.
- To determine the current evidence for the clinical usefulness of various biomarker sampling methods in ECOPD.
Main Methods:
- A systematic literature search was conducted using Medline and Highwire databases.
- Keywords related to ECOPD, biomarkers, and sampling methods were combined.
- Seventy-nine eligible studies evaluating pulmonary sampled biomarkers in ECOPD were analyzed.
Main Results:
- Pulmonary biomarkers can illustrate disease natural history and correlate with clinical variables and outcomes in ECOPD.
- Spontaneous and induced sputum biomarkers show promise for reflecting severity, recovery, and diagnosis.
- Evidence for exhaled breath condensate and bronchoalveolar lavage biomarkers in ECOPD is currently limited.
Conclusions:
- Pulmonary biomarkers offer insights into ECOPD mechanisms and correlate with clinical aspects.
- No single biomarker is adequately validated for broad clinical application in ECOPD management.
- Further clinical trials integrating biomarkers into decision-making algorithms are necessary.
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