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Predicting Ventilator-associated Lower Respiratory Tract Infection Outcomes Using Sequenced-based Early Microbiological Response
Sponsor: The First Affiliated Hospital with Nanjing Medical University
Summary
We are using a tool called QtNGS (quantitative targeted amplicon-based next-generation sequencing ) to measure the abundance of local pathogens in patients with ventilator-associated lower respiratory tract infections. We hypothesize that changes in pathogen abundance before and after treatment are related to patient outcomes. This study aims to evaluate the effectiveness of the tool by analyzing the changes in pathogen abundance and exploring the relationship between these changes and clinical outcomes.
Official title: Predicting Ventilator-associated Lower Respiratory Tract Infection Outcomes Using Sequenced-based Early Microbiological Response: A Multi-center Prospective Study
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
200
Start Date
2024-04-01
Completion Date
2026-01-29
Last Updated
2025-05-23
Healthy Volunteers
No
Interventions
bronchoscope
We will perform bronchoscopy and collect bronchoalveolar lavage fluid (BALF) samples at the time of patient enrollment and three days after the treatment.
Locations (1)
he First Affiliated Hospital of Nanjing Medical University
Nanjing, Jiangsu, China