Etiologic characteristics revealed by mNGS-mediated ultra-early microbiological identification in airway secretions from lung transplant recipients

Postoperative infection in lung transplant recipients is the most common cause of death within the first year, but most of the postoperative etiological studies mainly focus on a rather long interval time like within three months or one year. Data on the infection within one month and the etiological feature is absent. Metagenomic next-generation sequencing (mNGS) has emerged as a novel method for microbiological identification. In this study, mNGS combined with traditional microbial culture was applied to reveal the etiological characteristics in lung transplant recipients ultra-early after the operation, and epidemilogy of infection in recipients infected within one month. Our study aims to provide reference for the usage of antibacterial agents after lung transplant.