Literature DB >> 28384600

A prospective study of fungal biomarkers to improve management of invasive fungal diseases in a mixed specialty critical care unit.

Alida Fe Talento1, Katie Dunne2, Eimear Ann Joyce3, Michael Palmer4, Elizabeth Johnson4, P Lewis White5, Jan Springer6, Juergen Loeffler6, Thomas Ryan7, Daniel Collins7, Thomas R Rogers8.   

Abstract

PURPOSE: The diagnosis of invasive fungal diseases (IFD) in critical care patients (CrCP) is difficult. The study investigated the performance of a set of biomarkers for diagnosis of IFD in a mixed specialty critical care unit (CrCU).
METHODS: A prospective observational study in patients receiving critical care for ≥7days was performed. Serum samples were tested for the presence of: (1-3) - β-d-glucan (BDG), galactomannan (GM), and Aspergillus fumigatus DNA. GM antigen detection was also performed on bronchoalveolar lavage (BAL) samples. The patients were classified using published definitions for IFD and a diagnostic algorithm for invasive pulmonary aspergillosis. Performance parameters of the assays were determined.
RESULTS: In patients with proven and probable IFD, the sensitivity, specificity, PPV and NPV of a single positive BDG were 63%, 83%, 65% and 83% respectively. Specificity increased to 86% with 2 consecutive positive results. The mean BDG value of patients with proven and probable IFD was significantly higher compared to those with fungal colonization and no IFD (p value<0.0001).
CONCLUSION: New diagnostic criteria which incorporate these biomarkers, in particular BDG, and host factors unique to critical care patients should enhance diagnosis of IFD and positively impact antifungal stewardship programs.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  (1-3)-β-d-glucan; Critical care patients; Fungal biomarkers; Galactomannan; Invasive fungal disease

Mesh:

Substances:

Year:  2017        PMID: 28384600     DOI: 10.1016/j.jcrc.2017.03.025

Source DB:  PubMed          Journal:  J Crit Care        ISSN: 0883-9441            Impact factor:   3.425


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