Predicting Ventilator-associated Lower Respiratory Tract Infection Outcomes Using Sequenced-based Early Microbiological Response

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.