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Impact of metagenomics next-generation sequencing on etiological diagnosis and early outcomes in sepsis.

Journal of translational medicine2025-04-04PubMed
Total: 78.5Innovation: 8Impact: 7Rigor: 8Citation: 8

Summary

In a 19-site prospective cohort (n=859), mNGS on infected site samples had higher positive agreement than conventional microbiological testing (92.0% vs 51.1%) but lower negative agreement. It identified causal microbes in 74% and led to antibiotic adjustments in 29.2%. Early mortality (7-day) was reduced (HR 0.44), while 28-day mortality was unchanged.

Key Findings

  • Positive percent agreement of mNGS vs CMT: 92.0% vs 51.1% (p<0.001); negative agreement lower for mNGS (39.6% vs 69.2%).
  • Causal microbes identified in 74.0% with mNGS; antibiotic changes in 29.2%.
  • 7-day mortality reduced (HR 0.44), but no difference in 28-day mortality (HR 0.82).

Clinical Implications

Adjunctive mNGS of infected site samples can accelerate etiological diagnosis and guide targeted therapy, potentially reducing early mortality. Programs should address false negatives/positives, turnaround time, and stewardship oversight.

Why It Matters

This large prospective study connects mNGS diagnostic yield to antibiotic changes and early survival, providing pragmatic evidence for integrating mNGS into sepsis workflows.

Limitations

  • Nonrandomized, patient-choice design risks residual confounding despite IPTW
  • Lower negative agreement and potential contamination limit specificity; conducted in one country

Future Directions

Randomized or pragmatic trials to test mNGS-guided care pathways on 28-day mortality, time-to-appropriate therapy, and costs; harmonization of interpretation frameworks and contamination control.

Study Information

Study Type
Cohort
Research Domain
Diagnosis
Evidence Level
II - Large prospective multicenter observational study with causal inference adjustments
Study Design
OTHER