Metagenomic next-generation sequencing in patients with fever of unknown origin: A comprehensive systematic literature review and meta-analysis

Alexandre R. Marra, Gabriel O.V. Lopes, Isabele Pardo, Mariana Kim Hsieh, Takaaki Kobayashi, Pedro S. Marra, Jonas Marschall, João Renato Rebello Pinho, Deyvid Emanuel Amgarten, Fernanda de Mello Malta, Nathalia Villa dos Santos, Michael B. Edmond

Research output: Contribution to journalReview articlepeer-review

Abstract

Metagenomic Next-Generation Sequencing (mNGS) holds promise in diagnosing fever of unknown origin (FUO) by detecting diverse pathogens. We systematically reviewed the literature to evaluate mNGS's accuracy, clinical efficacy, and limitations in FUO diagnosis. Nine studies revealed mNGS's positivity rate ranging from 66.7% to 93.5% for bacterial bloodstream infections and systemic infections. Meta-analysis of three studies involving 857 patients, including 354 with FUO, showed a sensitivity of 0.91 (95% CI: 0.87-0.93) and specificity of 0.64 (95% CI: 0.58-0.70). Despite lower specificity, mNGS demonstrated a higher Diagnostic Odds Ratio (DOR) of 17.0 (95% CI: 4.5-63.4) compared to conventional microbiological tests (CMTs) at 4.7 (95% CI: 2.9-7.6). While mNGS offers high sensitivity but low specificity in identifying causative pathogens for FUO, its superior DOR suggests potential for more accurate diagnoses and targeted interventions. Further research is warranted to optimize its clinical application in FUO management.

Original languageEnglish
Article number116465
JournalDiagnostic Microbiology and Infectious Disease
Volume110
Issue number2
DOIs
StatePublished - Oct 2024

Keywords

  • Diagnostic methods
  • Fever of unknown origin
  • Metagenomic NGS
  • Systematic literature review

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