1. Metagenomic next-generation sequencing in patients with fever of unknown origin: A comprehensive systematic literature review and meta-analysis.
- Author
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Marra AR, Lopes GOV, Pardo I, Hsieh MK, Kobayashi T, Marra PS, Marschall J, Pinho JRR, Amgarten DE, de Mello Malta F, Dos Santos NV, and Edmond MB
- Subjects
- Humans, Bacteria genetics, Bacteria isolation & purification, Bacteria classification, Bacterial Infections diagnosis, Bacterial Infections microbiology, Fever of Unknown Origin diagnosis, Fever of Unknown Origin microbiology, High-Throughput Nucleotide Sequencing methods, Metagenomics methods, Sensitivity and Specificity
- 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., Competing Interests: Declaration of competing interest Authors have no commercial or financial involvement with this manuscript., (Copyright © 2024 Elsevier Inc. All rights reserved.)
- Published
- 2024
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