The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Microbiological Diagnostic Performance of Metagenomic Next-generation Sequencing When Applied to Clinical Practice
Open accessAbstract
Background: Metagenomic next-generation sequencing (mNGS) was suggested to potentially replace traditional microbiological methodology because of its comprehensiveness. However, clinical experience with application of the test is relatively limited. Methods: From April 2017 to December 2017, 511 specimens were collected, and their retrospective diagnoses were classified into infectious disease (347 [67.9%]), noninfectious disease (119 [23.3%]), and unknown cases (45 [8.8%]). The diagnostic performance of pathogens was compared between mNGS and culture. The effect of antibiotic exposure on detection rate was also assessed. Results: The sensitivity and specificity of mNGS for diagnosing infectious disease were 50.7% and 85.7%, respectively, and these values outperformed those of culture, especially for Mycobacterium tuberculosis (odds ratio [OR], 4 [95% confidence interval {CI}, 1.7-10.8]; P < .01), viruses (mNGS only; P < .01), anaerobes (OR, ∞ [95% CI, 1.71-∞]; P < .01) and fungi (OR, 4.0 [95% CI, 1.6-10.3]; P < .01). Importantly, for mNGS-positive cases where the conventional method was inconclusive, 43 (61%) cases led to diagnosis modification, and 41 (58%) cases were not covered by empirical antibiotics. For cases where viruses were identified, broad-spectrum antibiotics were commonly administered (14/27), and 10 of 27 of these cases were suspected to be inappropriate. Interestingly, the sensitivity of mNGS was superior to that of culture (52.5% vs 34.2%; P < .01) in cases with, but not without, antibiotic exposure. Conclusions: mNGS could yield a higher sensitivity for pathogen identification and is less affected by prior antibiotic exposure, thereby emerging as a promising technology for detecting infectious diseases.
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Self-citationThe Microbiome and the Respiratory Tract
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Validation of Metagenomic Next-Generation Sequencing Tests for Universal Pathogen Detection
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Identification of Prosthetic Joint Infection Pathogens Using a Shotgun Metagenomics Approach
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Metagenomic Sequencing Detects Respiratory Pathogens in Hematopoietic Cellular Transplant Patients
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Cited by
mNGS in clinical microbiology laboratories: on the road to maturity
Han, D., Li, Z., Li, R., Tan, P., Zhang, R., & Li, J. (2019) · Critical Reviews in Microbiology · doi:10.1080/1040841x.2019.1681933 · Cited by 361
Metadata
- Authors
- Miao, Q., Ma, Y., Wang, Q., Pan, J., Zhang, Y., Jin, W., Yao, Y., Su, Y., Huang, Y., Wang, M., Li, B., Li, H., Zhou, C., Li, C., Ye, M., Xu, X., Li, Y., & Hu, B.
- Venue
- Clinical Infectious Diseases
- Publisher
- Oxford University Press (OUP)
- Published
- 2018-11-13
- Volume
- 67
- Issue
- suppl_2
- Pages
- S231-S240
- ISSN
- 1058-4838 (ISSN-L)
- 1537-6591
- OpenAlex
- W2903912375
- Cited by
- 871
- References
- 24
- FWCI
- 26.84
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Miao, Q., Ma, Y., Wang, Q., Pan, J., Zhang, Y., Jin, W., Yao, Y., Su, Y., Huang, Y., Wang, M., Li, B., Li, H., Zhou, C., Li, C., Ye, M., Xu, X., Li, Y., & Hu, B. (2018). Microbiological Diagnostic Performance of Metagenomic Next-generation Sequencing When Applied to Clinical Practice. Clinical Infectious Diseases. https://doi.org/10.1093/cid/ciy693
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