ArticleBMC pulmonary medicine2019
Metagenomic next-generation sequencing for mixed pulmonary infection diagnosis.
Article in BMC pulmonary medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 175 papers, 4 of them syntheses that pooled it.
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Who cites it
175 citing papers in PubMed, 4 syntheses or guidelines pooled it, 240 citations in OpenAlex.
- An umbrella review of the diagnostic value of next-generation sequencing in infectious diseases.International journal of clinical pharmacy · 2024Pooled it
- Clinical values of metagenomic next-generation sequencing in patients with severe pneumonia: a systematic review and meta-analysis.Frontiers in cellular and infection microbiology · 2023Pooled it
- Diagnostic accuracy of metagenomic next-generation sequencing in diagnosing infectious diseases: a meta-analysis.Scientific reports · 2022Pooled it
- The Effectiveness of Metagenomic Next-Generation Sequencing in the Diagnosis of Prosthetic Joint Infection: A Systematic Review and Meta-Analysis.Frontiers in cellular and infection microbiology · 2022Pooled it
- Article
- Application of Metagenomic Next-Generation Sequencing in the Diagnosis of Pneumonia in Patients With Cancer.Cancer medicine · 2026Article
- Clinical impact of metagenomic next-generation sequencing on pathogen detection and outcomes in non-immunocompromised patients with severe pneumonia supported by veno-venous extracorporeal membrane oxygenation.BMC infectious diseases · 2026Article
- Evaluating Seqstant LiveGene Analysis in real-time assessment of metagenomic next-generation sequencing (mNGS) data from respiratory samples.Infection · 2026Article
- Metagenomic and Targeted Next-Generation Sequencing in Infectious Disease Diagnostics: Current Applications, Challenges, and Future Perspectives.Diagnostics (Basel, Switzerland) · 2026Review
- Molecular Epidemiology of Toscana Virus in Northern and Central Italy Using Metagenomic Next-Generation Sequencing.Pathogens (Basel, Switzerland) · 2026Article
- A watershed-scale potential pathogenic bacteria dataset from the Yangtze River Basin.Scientific data · 2026Article
- Next-generation sequencing in the etiological diagnosis of severe childhood pneumonia.Frontiers in pediatrics · 2026Review
- Comparison of mNGS microbial detection profiles between percutaneous lung aspiration biopsy and bronchoalveolar lavage fluid in infective pneumonia.Open medicine (Warsaw, Poland) · 2026Article
- Clinical Utility and Therapeutic Strategy Value of Metagenomic Next-Generation Sequencing in Pulmonary Infection Among Cancer Patients.Infection and drug resistance · 2026Article
- Application of metagenomic next-generation sequencing in children with pneumonia of unknown etiology.Frontiers in cellular and infection microbiology · 2026Article
- Characterization of the aqueous humor microbiome in Posner-Schlossman syndrome: an exploratory metagenomic sequencing study.Frontiers in medicine · 2026Article
- Metagenomic next-generation sequencing improves diagnosis ofFrontiers in medicine · 2026Article
- Case Report: Rare Community-Acquired Pneumonia with Concurrent Methicillin-ResistantInfection and drug resistance · 2026Article
- A large-scale retrospective analysis reveals the fungal pathogen spectrum across diverse clinical specimens using metagenomic next-generation sequencing.Frontiers in cellular and infection microbiology · 2026Article
- Comparative Analysis of Metagenomic Next-Generation Sequencing and Conventional Culture for Pathogen Detection in 218 Patients with Pulmonary Infectious Diseases: A Retrospective Study.Infection and drug resistance · 2026Article
115 more citing papers are in PubMed but not listed here.
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3 authors at 1 institution in 1 country.
Funding
Abstract
backgroundMetagenomic next-generation sequencing (mNGS) is emerging as a promising technique for pathogens detection. However, reports on the application of mNGS in mixed pulmonary infection remain scarce.
methodsFrom July 2018 to March 2019, 55 cases were enrolled in this retrospective analysis. Cases were classified into mixed pulmonary infection (36 [65.5%]) and non-mixed pulmonary infection (19 [34.5%]) according to primary diagnoses. The performances of mNGS and conventional test on mixed pulmonary infection diagnosis and pathogen identification were compared.
resultsThe sensitivity of mNGS in mixed pulmonary infection diagnosis was much higher than that of conventional test (97.2% vs 13.9%; P < 0.01), but the specificity was the opposite (63.2% vs 94.7%; P = 0.07). The positive predictive value of mNGS was 83.3% (95% CI, 68.0-92.5%), and the negative predictive value was 92.3% (95% CI, 62.1-99.6%). A total of 5 (9.1%) cases were identified as mixed pulmonary infection by both conventional tests and mNGS, however, the pathogens identification results were consistent between these two methods in only 1 (1.8%) case. In summary, the pathogens detected by mNGS in 3 (5.5%) cases were consistent with those by conventional test, and only 1 (1.8%) case was mixed pulmonary infection. According to our data, mNGS had a broader spectrum for pathogen detection than conventional tests. In particular, application of mNGS improved the diagnosis of pulmonary fungal infections. Within the 55 cases, mNGS detected and identified fungi in 31 (56.4%) cases, of which only 10 (18.2%) cases were positive for the same fungi by conventional test. The most common pathogen detected by mNGS was Human cytomegalovirus in our study, which was identified in 19 (34.5%) cases of mixed pulmonary infection. Human cytomegalovirus and Pneumocystis jirovecii, which were detected in 7 (12.7%) cases, were the most common co-pathogens in the group of mixed pulmonary infection.
conclusionsmNGS is a promising technique to detect co-pathogens in mixed pulmonary infection, with potential benefits in speed and sensitivity.
trial registration(retrospectively registered): ChiCTR1900023727. Registrated 9 JUNE 2019.
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