Identification of Lung and Intestinal Microbiome and Host Susceptibility in Severe Pneumonia, a Prospective, Multicenter Cohort Study
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Severe Pneumonia
- Sponsor
- First Affiliated Hospital of Zhejiang University
- Enrollment
- 2000
- Locations
- 15
- Primary Endpoint
- The correlation between lung microbiome and disease prognosis
- Status
- Recruiting
- Last Updated
- 8 months ago
Overview
Brief Summary
This study was a prospective multicenter cohort of severe pneumonia. And by collecting clinical samples to clarify the correlation between lung microbiome, intestinal microbiome, host susceptibility, and prognosis of severe pneumonia patients.
Detailed Description
The human lung and intestinal microbiota play an important role in human health. At present, the correlation between lung and intestinal microbiota in severe pneumonia patients and host susceptibility is limited to small sample, single center studies. Due to sample size limitations, the pathogenesis of severe pneumonia caused by many pathogens remains unclear. This study plans to construct sputum, alveolar lavage fluid, feces, and whole blood samples of severe pneumonia patients admitted to the ICU from 2023 to 2025, and collect clinical data from patients to identify changes in lung and intestinal microbiome, host susceptibility, and disease progression risk in different groups of patients.
Investigators
Lingtong Huang, MD
Doctor
First Affiliated Hospital of Zhejiang University
Eligibility Criteria
Inclusion Criteria
- •New lung infection that meets one of the following definitions: the patient receives mechanical ventilation (invasive or non-invasive) due to acute respiratory failure, with a PEEP level of 5cm or above; Patients receiving high flow oxygen therapy with a FiO2 of 50% or more and a PaO2: FiO2 ratio below 300
Exclusion Criteria
- •Expected length of stay in ICU is less than 1 day
Outcomes
Primary Outcomes
The correlation between lung microbiome and disease prognosis
Time Frame: 60 days
1. Identification of microbial gene profiles; 2. Analysis of host health dynamics and trends; 3. Identification of host gene mutations; 4. Preliminary model construction; 5. Model optimization and evaluation.