Chronic obstructive pulmonary disease (COPD) is a chronic and often progressive pulmonary disease, where inflammation and recurrent infections are key pathophysiological contibutors in disease progression. Acute exacerbations of COPD (AECOPD) are often treated with antibiotics, even though only about 50% are caused by bacteria, and the evidence for benefit of empiric antibiotic treatment in AECOPD is conflicting. Microbiological sampling is often insufficient in the setting of AECOPD, and there is a lack of biomarkers distinguishing AECOPD caused by bacteria from those not caused by bacteria, leaving the clinician with few tools to guide the use of antibiotics. Overuse of antibiotics is the main driver of antimicrobial resistance (AMR), a major global public health threat, and obtaining the correct microbiological diagnose is important in guiding treatment of AECOPD. COPEXNOR seeks to examine which samples give the highest microbiological yield in AECOPD, comparing induced sputum to nasopharyngeal swabs. We will also compare conventional microbiological diagnostics to modern rapid molecular microbiological tests, to evaluate if faster microbiological diagnosis improves antibiotic stewardship. The study aims to define the microbiological etiology causing AECOPD in the Norwegian COPD-population, and examine the lung microbiome over time. COPEXNOR will explore biomarkers in sputum and blood that can be useful for differentiating patients who will benefit from antibiotic treatment from patients who will not.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
DOUBLE
Enrollment
200
Sputum sampes will in addition to standard diagnostics be investigated using a rapid diagnostic plattform (FilmArray)
Improve microbiological sampling strategies in AECOPD.
Proportion of AECOPD with a microbiologically verified diagnosis from sputum versus nasopharyngeal swab.
Time frame: Within months to a year after study completion.
Improve microbiological diagnostic workflow for faster initiation of adequate antibiotic therapy.
Time to targeted antimicrobial therapy in hours.
Time frame: Within months to a year after study completion.
Reduce the use of unnecessary broad antimicrobial therapy.
Proportion of patients with AECOPD who receive targeted antimicrobial therapy.
Time frame: Within months to a year after study completion.
Increase knowledge of the microbiological etiology in AECOPD.
Microbiological etiology in AECOPD.
Time frame: Within months to a year after study completion.
Increased understanding of the lung microbiome over time.
Identify differences in lung microbiome over time, both in AECOPD and stabile state.
Time frame: 2-5 years after study completion
Biomarkers at protein level
Identifying biomarkers in blood and sputum that can help differentiate between bacterial and non-bacterial AECOPD
Time frame: 2-5 years after study completion
Protein markers of the iron metabolism
Identifying dynamics in iron metabolism in light of etiology.
Time frame: 2-5 years after study completion
Biomarkers at the transcriptional level
Identifying different transcriptomic profiles in different causes of AECOPD
Time frame: 2-5 years after study completion
Biomarkers for predicting outcome
Identifying biomarkers that can predict outcome in AECOPD.
Time frame: 2-5 years after study completion
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