Antimicrobial resistance prediction by clinical metagenomics in pediatric severe pneumonia patients.

ABSTRACT:

Background

Antimicrobial resistance (AMR) is a major threat to children's health, particularly in respiratory infections. Accurate identification of pathogens and AMR is crucial for targeted antibiotic treatment. Metagenomic next-generation sequencing (mNGS) shows promise in directly detecting microorganisms and resistance genes in clinical samples. However, the accuracy of AMR prediction through mNGS testing needs further investigation for practical clinical decision-making.

Methods

We aimed to evaluate the performance of mNGS in predicting AMR for severe pneumonia in pediatric patients. We conducted a retrospective analysis at a tertiary hospital from May 2022 to May 2023. Simultaneous mNGS and culture were performed on bronchoalveolar lavage fluid samples obtained from pe

SUBMITTER: Gan M 

PROVIDER: S-EPMC11020437 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature