Performance of metagenomic next-generation sequencing for bloodstream infections in perioperative critically ill patients- a post-hoc analysis of a prospective, multi-center cohort study
Open Access
- 15 June 2026
- journal article
- research article
- Published by Frontiers Media SA in Frontiers in Cellular and Infection Microbiology
- Vol. 16, 1814969
Abstract
Background: Bloodstream infections (BSI) in intensive care unit (ICU) patients are associated with high morbidity and mortality, necessitating rapid and accurate pathogen identification to guide early antimicrobial therapy. However, traditional blood culture (BC) is limited by the long turnaround time and low sensitivity. Metagenomic next-generation sequencing (mNGS) has been applied in infectious disease diagnostics, but its clinical utility for perioperative ICU patients with BSI requires further evaluation. Methods: This post-hoc analysis included 219 perioperative ICU patients (from a prospective, multi-center cohort, July 2020–June 2023) who underwent concurrent mNGS and BC testing. The study compared pathogen detection differences between the two methods, and evaluated the diagnostic value of mNGS for clinical BSI based on mNGS-assisted clinical diagnostic criteria. Additionally, the impact of mNGS findings on clinical antimicrobial management was assessed. Results: mNGS demonstrated a higher overall pathogen detection rate than BC in the 219 enrolled patients (25.1% vs. 9.6%, p < 0.001), with significant advantages in detecting Gram-negative bacteria (13.2% vs. 5.9%, p = 0.009), anaerobes (3.6% vs. 0.5%, p = 0.018), and fungi (6.4% vs. 0.9%, p = 0.002). Mixed-pathogen infections were identified in 20% of mNGS-positive clinical BSI cases, whereas BC-positive cases exclusively had single-pathogen infections. Ultimately, 64 patients (29.2%) were diagnosed with clinical BSIs. The sensitivity and specificity of the mNGS were 85.9% (95% CI: 74.5%–93.0%), and 80.6% (95% CI: 73.4%–86.4%), respectively, and the area under the receiver operating characteristic curve was 0.833 (95% CI: 0.772–0.894). The positive predictive value and negative predictive value were 64.7% (95% CI: 53.5%–74.6%) and 93.3% (95% CI: 87.3%–96.7%), respectively. Additionally, mNGS led to a positive impact in 56 patients (25.6%), manifested by the identification of new pathogens and guidance for targeted therapy, a negative impact in 11 patients (5.0%), and no clinical impact in 152 patients (69.4%). Conclusions: For perioperative ICU patients, mNGS demonstrated superior pathogen detection rates, broader microbial spectrum coverage, and enhanced polymicrobial infection detection capability versus BC. mNGS exhibited high diagnostic value for clinical BSI, with the potential to facilitate targeted antimicrobial therapy adjustments.Keywords
This publication has 44 references indexed in Scilit:
- Differences between bloodstream infections involving Gram-positive and Gram-negative anaerobesAnaerobe, 2023
- Poor timing and failure of source control are risk factors for mortality in critically ill patients with secondary peritonitisIntensive Care Medicine, 2022
- Surviving sepsis campaign: international guidelines for management of sepsis and septic shock 2021Intensive Care Medicine, 2021
- The proportion, species distribution and dynamic trends of bloodstream infection cases in a tertiary hospital in China, 2010–2019Infection, 2021
- Bloodstream infections in critically ill patients: an expert statementIntensive Care Medicine, 2020
- Systematic review and consensus definitions for the Standardised Endpoints in Perioperative Medicine (StEP) initiative: infection and sepsisBritish Journal of Anaesthesia, 2019
- Rationalizing antimicrobial therapy in the ICU: a narrative reviewIntensive Care Medicine, 2019
- Diagnosis of Sepsis with Cell-free DNA by Next-Generation Sequencing Technology in ICU PatientsArchives of Medical Research, 2016
- The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3)JAMA, 2016
- Characteristics and determinants of outcome of hospital-acquired bloodstream infections in intensive care units: the EUROBACT International Cohort StudyIntensive Care Medicine, 2012