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Dataset Information

Chronic Meningitis Investigated via Metagenomic Next-Generation Sequencing.


ABSTRACT:

Importance

Identifying infectious causes of subacute or chronic meningitis can be challenging. Enhanced, unbiased diagnostic approaches are needed.

Objective

To present a case series of patients with diagnostically challenging subacute or chronic meningitis using metagenomic next-generation sequencing (mNGS) of cerebrospinal fluid (CSF) supported by a statistical framework generated from mNGS of control samples from the environment and from patients who were noninfectious.

Design, setting, and participants

In this case series, mNGS data obtained from the CSF of 94 patients with noninfectious neuroinflammatory disorders and from 24 water and reagent control samples were used to develop and implement a weighted scoring metric based on z scores at the species and genus l

SUBMITTER: Wilson MR 

PROVIDER: S-EPMC5933460 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature