Seven-year performance of a clinical metagenomic next-generation sequencing test for diagnosis of central nervous system infections
University of California, San Francisco · Chan Zuckerberg Initiative (United States)
Abstract
Metagenomic next-generation sequencing (mNGS) of cerebrospinal fluid (CSF) is an agnostic method for broad-based diagnosis of central nervous system (CNS) infections. Here we analyzed the 7-year performance of clinical CSF mNGS testing of 4,828 samples from June 2016 to April 2023 performed by the University of California, San Francisco (UCSF) clinical microbiology laboratory. Overall, mNGS testing detected 797 organisms from 697 (14.4%) of 4,828 samples, consisting of 363 (45.5%) DNA viruses, 211 (26.4%) RNA viruses, 132 (16.6%) bacteria, 68 (8.5%) fungi and 23 (2.9%) parasites. We also extracted clinical and laboratory metadata from a subset of the samples (n = 1,164) from 1,053 UCSF patients. Among the 220…
Citation impact
- FWCI
- 45.24
- Percentile
- 100%
- References
- 49
Authors
20Topics & keywords
- Metagenomics
- DNA sequencing
- Computational biology
- Biology
- Central nervous system
- Medicine
- Bioinformatics
- Genetics
- Good health and well-being