JOURNAL ARTICLE

ß-D-Glucan Assay in the Cerebrospinal Fluid for the Diagnosis of Non-cryptococcal Fungal Infection of the Central Nervous System: A Retrospective Multicentric Analysis and a Comprehensive Review of the Literature.

  • Published In: Clinical Infectious Diseases, 2023, v. 77, n. 5. P. 711 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Bigot, Jeanne; Leroy, Jordan; Chouaki, Taieb; Cholley, Laurence; Bigé, Naïke; Tabone, Marie-Dominique; Brissot, Eolia; Thorez, Sophie; Maizel, Julien; Dupont, Hervé; Sendid, Boualem; Hennequin, Christophe; Guitard, Juliette 3 of 3

Abstract

This article evaluates the diagnostic value of β1,3-D-glucan (BDG) detection in cerebrospinal fluid (CSF) for non-cryptococcal fungal infection of the central nervous system (FI-CNS) in non-neonatal patients. Analyzing 228 episodes from three French university hospitals and reviewing literature cases, the study found that CSF BDG assay sensitivity ranged from 72.7% to 100% for proven, highly probable, or probable FI-CNS, with a specificity of 81.8%. False positives were frequently associated with bacterial neurological infections, while false negatives occurred despite compatible clinical and radiological findings. Despite suboptimal performance, the authors recommend including CSF BDG assay among diagnostic tools for FI-CNS due to the rarity and severity of these infections and the limitations of conventional mycological methods.

Additional Information

  • Source:Clinical Infectious Diseases. 2023/09, Vol. 77, Issue 5, p711
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2023
  • ISSN:1058-4838
  • DOI:10.1093/cid/ciad274
  • Accession Number:171918910
  • Copyright Statement:Copyright of Clinical Infectious Diseases is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.