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Rapid pan-microbial metagenomics for pathogen detection and personalised therapy in the intensive care unit: a single-centre prospective observational study.

The Lancet. Microbe2025-10-05PubMed
Total: 84.5Innovation: 9Impact: 0Rigor: 0Citation: 0

Summary

A same-day pan-kingdom metagenomic service in ICU patients achieved high sensitivity (bacteria 97%, fungi 89%, viruses 89%) and identified additional pathogens in 30% of samples. Results altered antimicrobial therapy in 28% and contributed to immunomodulation in 20% of patients, demonstrating both patient-level and public health value.

Key Findings

  • 94% of 114 samples passed QC; 94% of QC-passed samples yielded same-day preliminary results.
  • Sensitivity in lower respiratory tract samples after 24 h: bacteria 97% (95% CI 87–100), fungi 89% (65–99), viruses 89% (71–98), with only one bacterial false positive.
  • Metagenomics identified 42 additional pathogens in 32 (30%) of 107 samples beyond routine diagnostics.
  • Antimicrobial therapy changed in 28% of samples (21% de-escalated, 7% escalated); immunomodulation initiated in 20% of patients.
  • Clinically significant pathogens for infection control/public health were found in 14% of patients.

Clinical Implications

Incorporating rapid metagenomics into ICU diagnostics can enable earlier de-escalation/escalation of antimicrobials, support initiation of immunomodulators, and enhance infection control and surveillance. Multicentre evaluation should address outcomes, stewardship, and cost-effectiveness.

Why It Matters

This study operationalizes rapid pan-microbial metagenomics with demonstrated clinical decision impact, a key step beyond analytic validity alone. It sets a benchmark for integrating metagenomics into ICU sepsis workflows.

Limitations

  • Single-centre design with modest sample size and potential selection bias.
  • No randomized assessment of patient outcomes; exclusion of containment level 3 organisms.
  • Resource and cost requirements not assessed.

Future Directions

Conduct multicentre trials to evaluate patient outcomes, antimicrobial stewardship metrics, and cost-effectiveness; standardize reporting thresholds; integrate with host-response biomarkers.

Study Information

Study Type
Cohort
Research Domain
Diagnosis
Evidence Level
III - Prospective observational cohort without randomization
Study Design
OTHER