Association Between Changes in Pulmonary Microbiota and Clinical Outcomes in Neurosurgical ICU Patients With Artificial Airways: A Prospective Observational Cohort Study
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 发起方
- 入组人数
- 220
- 试验地点
- 3
- 主要终点
- Incidence of Hospital-Acquired Pneumonia (HAP) Within 28 Days of ICU Admission
研究概览
简要总结
After neurosurgery, many patients need to stay in the intensive care unit (ICU) and use a breathing machine (mechanical ventilation) because of issues like decreased consciousness, weak breathing, or poor airway protection. During this period, the natural balance of bacteria in the lungs-known as the lung microbiota-can be disturbed by surgery, antibiotics, and airway procedures. This may reduce healthy bacteria and allow harmful bacteria to grow, increasing the risk of lung infections such as ventilator-associated pneumonia (VAP).
This study will follow 220 postoperative neurosurgical ICU patients at three centers: Beijing Tiantan Hospital, Beijing Shijitan Hospital, and Beijing Anzhen 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.
详细描述
Postoperative neurosurgical patients represent a unique and high-risk population in the ICU, often requiring prolonged invasive mechanical ventilation due to impaired consciousness and respiratory function. During this critical period, multiple factors-including surgical trauma, antibiotic administration, and airway manipulation-can disrupt the pulmonary microbiota, potentially leading to dysbiosis characterized by reduced microbial diversity and overgrowth of opportunistic pathogens.
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.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Patients must meet all of the following conditions to be eligible for inclusion:
- •First admission to the Intensive Care Unit (ICU).
- •Assessed by an ICU specialist as expected to require artificial airway support (e.g., mechanical ventilation) for more than 24 hours.
- •Neurosurgical patients. Postoperative neurosurgical patients are defined in this study as those who have undergone surgery for: brain tumors, Subarachnoid hemorrhage, Traumatic brain injury
排除标准
- •Patients meeting any of the following criteria will be excluded:
- •Age under 18 years
- •Pre-existing spinal cord injury
- •History of chronic pulmonary diseases, including: Chronic bronchitis, Chronic obstructive pulmonary disease (COPD), Bronchial asthma, Bronchiectasis, Interstitial lung disease, Pleural effusion
- •Pre-existing immunosuppressive conditions, including: Systemic immunomodulatory therapy, Chemotherapy, HIV infection, Other congenital or acquired immunodeficiency disorders
- •Receipt of systemic antimicrobial therapy within the past 3 months
- •Diagnosis of primary lung cancer or lung metastases from other tumors
- •History of partial lung resection for any reason
结局指标
主要结局
Incidence of Hospital-Acquired Pneumonia (HAP) Within 28 Days of ICU Admission
时间窗: Within 28 days of ICU admission
Hospital-acquired pneumonia (HAP) will be diagnosed according to the 2016 IDSA/ATS guidelines. The number of HAP cases occurring within 28 days of ICU admission will be recorded. This outcome will be used to evaluate whether alterations in the pulmonary microbiota are associated with the risk of nosocomial pneumonia and may inform empiric antibiotic strategies in the ICU setting.
次要结局
- Association Between Pulmonary Microbiota Alterations and Risk of Hospital-Acquired Pneumonia(Within 28 days of ICU admission)
- Incidence of Ventilator-Associated Pneumonia (VAP) Within 28 Days of ICU Admission(Within 28 days of ICU admission)
- Association Between Pulmonary Microbiota Alterations and Risk of Ventilator-Associated Pneumonia(Within 28 days of ICU admission)
研究者
Jian-Xin Zhou
Professor
Capital Medical University