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Antimicrobial resistance (AMR) refers to the ability of microorganisms like bacteria, viruses, fungi and parasites to resist the effects of antimicrobial drugs (such as antibiotics) which are widely used as treatment. AMR poses an escalating global health threat, contributing to difficult-to-treat infections associated with increased disease spread, disability and death, as well as a substantial economic burden.
In chronic lung diseases, such as bronchiectasis, Cystic fibrosis or chronic obstructive lung disease (COPD), there is a higher risk of AMR due to the exposure to frequent or prolonged courses of antibiotics to treat recurrent lung infections and exacerbations (flares of the disease), to reduce lung inflammation or to control chronic infection within the lung with suppression of colonising microbes.
Most data on AMR in chronic lung diseases derive from analysing pre-existing routinely collected health data collected on a national basis which is often incomplete. Hence a prospective study is crucial to better understand and address AMR in chronic lung diseases. Prospective studies follow patients forward in time, collecting data on outcomes and allowing researcher to observe the natural history of AMR development, monitor trends and evaluate interventions.
This multicentre prospective study, as part of the European Respiratory Society (ERS) Clinical Research Collaboration on Antimicrobial Resistance in Lung Disease (CRC - AMR Lung), aims to investigate the patterns of AMR in chronic lung diseases through a fully anonymous registry alongside a prospective sub-cohort study tracking individuals with chronic lung disease and known colonisation with high-priority AMR pathogens (microorganisms). This study will enable analysis of prevalence and burden of AMR within chronic lung disease alongside understand the genetic drivers of resistance, the link between the microbial genotype and antimicrobial resistance and how transmission of resistance occurs in chronic lung disease.
Pathway 1:
Prospective data collection will occur twice a year over a two-week period capturing attendees to chronic lung disease clinics in that period. No participant identifiable information will be recorded with a e-CRF capturing baseline demographics, medical history, clinical characteristics, treatment regimens, and microbiological findings and inputted into a secure online Redcap database. The end of the last 2 week period will be defined as the end of the study for pathway 1.
Pathway 2:
Clinical Visits and Sampling:
(i) Baseline visit All eligible individuals will undergo screening when clinically stable including clinical history/ examination, respiratory function testing (spirometry) and a severity assessment with the use of validated questionnaires (COPD assessment test (CAT), Bronchiectasis Health Questionnaire (BHQ)). Clinical information including microbiology cultures, the underlying lung disease and other medical conditions and medication history will be obtained from medical records. Microbiological isolates from clinical sputum sampling will be stored for further genomic analysis.
At the first study visit the following biological samples will be taken to address the study objectives:
(ii) Exacerbation monitoring and sampling: Participants that develop symptoms of acute viral infection or acute exacerbation will have the following sampling and clinical assessment as detailed above.
(iii) Stable longitudinal assessment: All participants will undergo further clinical visits similar to baseline at 6 monthly intervals over a 2 year period (as detailed above).
(iiii) At 6 monthly intervals throughout the 2 year period, air and surface swab samples will be taken from hospital high-traffic areas such as inpatient ward and outpatient clinic settings for analysis of presence of hospital environmental AMR reservoirs.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Chronic lung disease | Patients with chronic lung disease who are colonised with a high priority antimicrobial resistant pathogen |
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| Measure | Description | Time Frame |
|---|---|---|
| Prevalence of antimicrobial resistant specific high-priority AMR pathogens in chronic lung disease | 2 years |
| Measure | Description | Time Frame |
|---|---|---|
| Antimicrobial susceptibility pattern of high-priority AMR pathogens in chronic lung disease | 2 years | |
| Whole genome sequencing genotype-phenotype correlation of high-priority AMR pathogens in chronic lung disease | 2 years |
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Inclusion Criteria:
Presence of an underlying chronic lung disease (e.g. Bronchiectasis, COPD) stratified by colonisation status:
Exclusion Criteria:
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Patients will be recruited from hospital chronic lung disease clinics.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Anand Shah | Contact | 0044 20 7352 8121 | s.anand@imperial.ac.uk |
| Name | Affiliation | Role |
|---|---|---|
| Anand Shah | Imperial College London | Principal Investigator |
| Aran Singanayagam | Imperial College London | Principal Investigator |
| Raju Misra |
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Researchers can apply to the ERS CRC for anonymised data access
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot_SAP | Yes | Yes | No | Study Protocol and Statistical Analysis Plan | Mar 5, 2026 | Jun 16, 2026 | Prot_SAP_002.pdf |
| ICF | No | No | Yes | Informed Consent Form | Sep 12, 2024 | Jun 4, 2026 | ICF_001.pdf |
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Bloods, Sputum, Faeces, Nasal (including swab, synthetic absorptive matrix, and brushings)
| Analysis of metagenomic resistome on exacerbation frequency in chronic lung disease | 2 years |
| Analysis of metagenomic resistome on disease severity in chronic lung disease | 2 years |
| Genomic transmission dynamics of high priority AMR pathogens in chronic lung disease | 2 years |
| UKHSA |
| Principal Investigator |