Pulmonary Microbiota Changes and Clinical Outcomes in Neurosurgical ICU Patients With Artificial Airways
NCT ID: NCT07129174
Last Updated: 2025-08-19
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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NOT_YET_RECRUITING
220 participants
OBSERVATIONAL
2025-08-30
2026-08-30
Brief Summary
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This study will follow 220 postoperative neurosurgical ICU patients at Beijing Tiantan Hospital and Beijing Shijitan Hospital from August 2025 to August 2026. These patients will include those undergoing surgery for brain tumors, brain hemorrhage, or traumatic brain injury. Airway secretion samples (tracheal aspirates) will be collected shortly after surgery and at several subsequent time points to assess how lung bacteria change over time while patients are using a breathing machine.
Using advanced laboratory methods, the investigators will measure both the amount and types of bacteria in the lungs. The aim is to determine how these changes are related to patient outcomes, such as the occurrence of lung infections.
The results of this study may contribute to earlier detection of lung infections and the development of personalized treatment plans to improve recovery in ICU patients after neurosurgery.
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Detailed Description
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Emerging evidence suggests that alterations in the lung microbiota may play a key role in the development of respiratory infections, such as ventilator-associated pneumonia (VAP), and could influence the overall clinical trajectory of ICU patients. However, current knowledge regarding the temporal dynamics of the lung microbiome in neurosurgical patients is limited, and its potential as a predictive biomarker for infection risk or recovery remains unexplored.
This prospective observational cohort study is designed to systematically characterize the succession patterns of the pulmonary microbiota in adult neurosurgical patients requiring mechanical ventilation. By integrating microbial profiling with clinical data, the study aims to elucidate the relationship between microbiota changes and patient outcomes, including infection incidence, length of ICU stay, and duration of ventilation.
High-resolution microbial analysis using 16S rRNA gene sequencing and quantitative techniques (e.g., droplet digital PCR) will allow for precise tracking of microbial shifts over time. These findings may provide new perspectives on host-microbiota interactions under ICU conditions and support the development of early warning indicators for infection, as well as inform personalized antimicrobial and ventilation strategies in postoperative care.
Ultimately, the study seeks to improve understanding of lung microbiome evolution in response to surgical and critical care interventions and to identify clinically relevant microbial patterns that may serve as novel prognostic tools in neurosurgical ICU populations.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Postoperative Neurosurgical ICU Patients
This cohort includes adult patients admitted to the ICU for the first time following neurosurgical procedures (including brain tumor surgery, subarachnoid hemorrhage surgery, and traumatic brain injury surgery) and expected to receive invasive mechanical ventilation for more than 24 hours. Patients will undergo serial collection of tracheal aspirate samples to assess the dynamic changes in the pulmonary microbiota. No therapeutic intervention is applied; this is a prospective observational cohort study.
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
1. First admission to the Intensive Care Unit (ICU).
2. Assessed by an ICU specialist as expected to require artificial airway support (e.g., mechanical ventilation) for more than 24 hours.
3. Neurosurgical patients. Postoperative neurosurgical patients are defined in this study as those who have undergone surgery for: brain tumors, Subarachnoid hemorrhage, Traumatic brain injury
Exclusion Criteria
1. Age under 18 years
2. Pregnancy
3. Pre-existing spinal cord injury
4. History of chronic pulmonary diseases, including: Chronic bronchitis, Chronic obstructive pulmonary disease (COPD), Bronchial asthma, Bronchiectasis, Interstitial lung disease, Pleural effusion
5. Pre-existing immunosuppressive conditions, including: Systemic immunomodulatory therapy, Chemotherapy, HIV infection, Other congenital or acquired immunodeficiency disorders
6. Receipt of systemic antimicrobial therapy within the past 3 months
7. Diagnosis of primary lung cancer or lung metastases from other tumors
8. History of partial lung resection for any reason
18 Years
ALL
No
Sponsors
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Capital Medical University
OTHER
Jian-Xin Zhou
OTHER
Responsible Party
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Jian-Xin Zhou
Professor
Principal Investigators
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Jian-Xin Zhou, MD, PhD
Role: PRINCIPAL_INVESTIGATOR
Capital Medical University
Locations
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Beijing Shijitan Hospital
Beijing, Beijing Municipality, China
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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IIT2025-058-002
Identifier Type: -
Identifier Source: org_study_id
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