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.