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Pre-clinical Diagnosis Using Integrated Microbial and Host Response Signatures to Improve Outcomes From Ventilator-associated Pneumonia in Critically Ill Children

Pre-clinical Diagnosis Using Integrated Microbial and Host Response Signatures to Improve Outcomes From Ventilator-associated Pneumonia in Critically Ill Children

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07026656
Acronym
VAP-Dx
Enrollment
300
Registered
2025-06-18
Start date
2025-04-14
Completion date
2027-09-30
Last updated
2025-08-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Ventilator Associated Pneumonia ( VAP)

Keywords

Respiratory Tract Infection, Immunology, Genomics, Paediatric Intensive Care Unit (PICU)

Brief summary

Ventilator-associated pneumonia (VAP), defined as pneumonia occurring 48 hours after initiation of invasive mechanical ventilation, is insidious in onset and severe in consequence. It is a critical issue affecting 10-20% of the 26,000 children admitted to the paediatric intensive care unit (PICU) each year. Infection typically leads to extended PICU stay, prolonged invasive mechanical ventilation, and increased mortality. Despite its clinical significance, VAP remains poorly defined, as current diagnosis relies on non-specific criteria and the ability to obtain clinically meaningful cultures. VAP, deviates from conventional pneumonia, potentially originating, from tissue damage, changes to immune processes, and migration of gastrointestinal bacteria into the lung; all associated with prolonged mechanical ventilation. These factors, in combination with the clinical instability of PICU patients, mean that clinicians aggressively start antibiotic therapy despite a paucity of evidence to suggest the best regime. As a result, suspected VAP has been shown to account for nearly 40% of antibiotic exposure in the PICU, which has significant implications on anti-microbial resistance (AMR). To address these challenges, novel diagnostic therapies are needed to optimise the treatment of VAP. These therapies should utilise our current understanding of the pathophysiology of VAP development, specifically, the infiltration of the lung microbiome by gut and oral bacteria during prolonged mechanical ventilation. To achieve this, molecular testing should be promoted allowing for rapid identification of lung pathogens. There is also growing evidence, for the investigation of predictive biomarkers for VAP available in both the blood and lungs, which when integrated into protocols may enhance diagnostic accuracy. These novel techniques may improve clinical outcomes for affected children while addressing the economic impact of prolonged hospital stays and mitigating AMR risks in PICUs.

Interventions

None listed

Sponsors

Cambridge University Hospitals NHS Foundation Trust
CollaboratorOTHER
University of Cambridge
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
1 Months to 16 Years
Healthy volunteers
No

Inclusion criteria

* PICU Admission * Requires 48 Hours Of Mechanical Ventilation

Exclusion criteria

* Imminent death or palliative care pathway planned * Existing tracheostomy at time of admission * Known immunocompromised patient * Patient received a full course of systemic antimicrobials in the previous 6 weeks. * Known or suspected tuberculosis (TB).

Design outcomes

Primary

MeasureTime frameDescription
Characterise temporal shifts in microbial composition and the corresponding host immune response during prolonged mechanical ventilation3 yearsSerial metagenomic profiling of the lung microbiome to establish microbial shifts. Concurrently, cytokines collected from blood and endotracheal aspirates will be taken to assess immune changes.
Characterise the AMR burden in VAP and its role in shaping the microbiome during infection.3 yearsUtilise metagenomic sequencing to identify AMR genes present on microbes and relate this to VAP development
Develop statistical and/or machine learning models leveraging these signatures independently, or in combination, to identify putative microbial and host biomarkers for early VAP diagnosis3 years

Secondary

MeasureTime frameDescription
Utilisation Of VAP Prevention Bundle3 years
Prevalence of VAP3 yearsNumber of critically ill children requiring mechanical ventilation who develop VAP compared to those who do not
Days free of antimicrobial therapy in PICU at 7 days3 yearsDays free of antimicrobial therapy during the first 7 days of a patients admission to PICU
Culture Results3 yearsMicrobiological Results For Each Patient
30 day mortality3 yearsMortality status of patients at 30 days
Time To Extubation3 yearsTotal Time Intubated

Countries

United Kingdom

Contacts

Primary ContactNazima Pathan, FRCPCH PhD
np409@medschl.cam.ac.uk+441223 805000
Backup ContactDon Laing, MBChB, BMedSci (Hons)
dml57@cam.ac.uk+441223 805000

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026