Metagenomic next-generation sequencing for the clinical identification of spinal infection-associated pathogens.

ABSTRACT:

Background

This study aimed to evaluate the efficacy of metagenomic next-generation sequencing (mNGS) technology for identifying pathogens associated with spinal infection (SI).

Methods

A retrospective analysis was conducted on clinical data from 193 patients with suspected SI between August 2020 and September 2024. Based on histopathological results, the patients were divided into the SI group (n=162) and the non-SI group (n=31). The diagnostic performance of mNGS technology was compared with that of laboratory examination, imaging examination, and microbial culture.

Results

Among SI group, mNGS detected 135 pathogens in 77.78% (126/162) of the cases, including nine cases of multiple infections. One or more pathogens were detected using mNGS in 86 patients with SI an

SUBMITTER: Shi T 

PROVIDER: S-EPMC11753247 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature