Frontiers in Cellular and Infection Microbiology · 2020 · 77 citations · 28 references
Life SciencesInfectious DiseasesMicrobiologyDiagnostic MicrobiologyMedical MicrobiologyMetagenomicsBacterial InfectionsComparative Diagnostic MicrobiologyMetagenomic AnalysisMicrobiology Of Musculoskeletal InfectionPathogen DetectionShotgun Metagenomic SequencingCoagulase-negative StaphylococciMetagenomic DiagnosisMetagenomic DiagnosticsMetagenomic SequencingMicrobiological DiagnosticsNext-generation Sequencing DiagnosisPathogenic Bacterium DiagnosisSynovial Fluid Microbiology
Objectives To evaluate metagenomic next-generation sequencing (mNGS) as a diagnostic tool in detecting pathogens from osteoarticular infection (OAI) samples. Methods 130 samples of joint fluid, sonicate fluid and tissue, were prospectively collected from 92 patients with OAI. The performance of mNGS and microbiology culture was compared pairwise. Results The overall sensitivity of mNGS was 88.5% (115/130), significantly higher than microbiological culture, which had a sensitivity of 69.2% (90/130, p<0.01). In particular, sensitivity was significantly higher for joint fluid (mNGS: 86.7% vs microbiology culture: 68.7%, p<0.01) and sonicate fluid (mNGS: 100% vs microbiology culture: 66.7%, p<0.05) samples. mNGS detected 12 pathogenic strains undetected by microbiological culture. Additional pathogens detected by mNGS were coagulase-negative Staphylococci, gram-negative Bacillus, Streptococci, anaerobe, non-tuberculosis Mycobacterium, MTCP (p>0.05), and Mycoplasma (OR=∞, 95% confidence interval, 5.12-∞, p<0.001). Additionally, sensitivity by mNGS was higher in antibiotic-treated samples compared to microbiological culture (89.7% vs 61.5%, p<0.01). Conclusions mNGS is a robust diagnostic tool for pathogenic detection in samples from OAI patients, compared to routine cultures. The mNGS technique is particularly valuable to diagnose pathogens that are difficult to culture, or to test samples from patients previously treated with antibiotics.
28
Douglas R. Osmon, Elie F. Berbari, Anthony R. Berendt et al. · Clinical Infectious Diseases · 2012 · 2.2K citations · Full text