About this trial
Ventilator-associated pneumonia (VAP) is a common and serious infection in patients receiving mechanical ventilation in intensive care units. Current diagnostic methods are imprecise, leading to unnecessary antibiotic use and delayed treatment. The ClusterVAP study aims to identify biologically and clinically distinct subgroups of patients with suspected VAP by analyzing proteins in bronchoalveolar lavage (BAL) fluid using advanced proteomic techniques. This multicentre observational study will enroll approximately 400 adult patients from intensive care units in Sweden, France, Portugal, Denmark, and the United Kingdom. BAL or mini-BAL samples collected for clinical reasons will be analyzed to define "pneumoclusters" and explore their association with patient outcomes. The study will also identify candidate biomarkers that could support future diagnostic tools. No experimental treatments are given; all patients receive standard care. Results may improve diagnostic accuracy and guide personalized treatment strategies for critically ill patients.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
None
Disqualifiers
None
Trial population
Adult patients (≥18 years) admitted to intensive care units in Sweden, France, Portugal, Denmark, and the United Kingdom who are receiving invasive mechanical ventilation and undergo bronchoalveolar lavage (BAL) or mini-BAL for clinical suspicion of lower respiratory tract infection. Patients are enrolled at the time of sampling and followed for 30-day outcomes. No experimental interventions are administered; all patients receive standard care.
Trial design
Cohort
Prospective
Treatments tested in this trial
Not listed
Trial groups
Trial outcomes
Primary outcomes
Distribution of patients into biologically distinct clusters ("pneumoclusters") based on BAL proteomic data
Unsupervised consensus clustering of bronchoalveolar lavage (BAL) proteomic profiles, alone and in combination with clinical and microbiological variables, will be performed to classify patients with suspected ventilator-associated pneumonia into biologically distinct clusters ("pneumoclusters"). The number of clusters, the number of patients per cluster, and key distinguishing features will be reported.
Secondary outcomes
30-day all-cause mortality
Mortality status compared across identified clusters.
Ventilator-free days
Number of days alive and free from invasive mechanical ventilation.
Antibiotic-free days
Number of days alive and not receiving systemic antibiotics.
ICU-free days
Number of days alive and not in an intensive care unit.
Other outcomes
Identification of candidate protein biomarkers for cluster assignment
Differential abundance analysis of bronchoalveolar lavage (BAL) proteomic data will be performed to identify candidate protein biomarkers that distinguish biologically defined patient clusters ("pneumoclusters"). The analysis will aim to derive a minimal set of proteins suitable for pragmatic cluster assignment in future cohorts. Results will include fold changes, statistical significance (e.g., adjusted p-values), and performance metrics (e.g., AUC) for each candidate biomarker.
Sponsors and contacts
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Region Skane
Lead sponsor
Lund University
Collaborator
NOVA Medical School
Collaborator
Rigshospitalet, Denmark
Collaborator
Karolinska University Hospital
Collaborator
University Hospital, Limoges
Collaborator
King's College Hospital NHS Trust
Collaborator
Umeå University
Collaborator