Journal of Fungi (Jul 2020)

Is the COVID-19 Pandemic a Good Time to Include <i>Aspergillus</i> Molecular Detection to Categorize Aspergillosis in ICU Patients? A Monocentric Experience

  • Jean-Pierre Gangneux,
  • Florian Reizine,
  • Hélène Guegan,
  • Kieran Pinceaux,
  • Pierre Le Balch,
  • Emilie Prat,
  • Romain Pelletier,
  • Sorya Belaz,
  • Mathieu Le Souhaitier,
  • Yves Le Tulzo,
  • Philippe Seguin,
  • Mathieu Lederlin,
  • Jean-Marc Tadié,
  • Florence Robert-Gangneux

DOI
https://doi.org/10.3390/jof6030105
Journal volume & issue
Vol. 6, no. 3
p. 105

Abstract

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(1) Background: The diagnosis of invasive aspergillosis (IA) in an intensive care unit (ICU) remains a challenge and the COVID-19 epidemic makes it even harder. Here, we evaluated Aspergillus PCR input to help classifying IA in SARS-CoV-2-infected patients. (2) Methods: 45 COVID-19 patients were prospectively monitored twice weekly for Aspergillus markers and anti-Aspergillus serology. We evaluated the concordance between (I) Aspergillus PCR and culture in respiratory samples, and (II) blood PCR and serum galactomannan. Patients were classified as putative/proven/colonized using AspICU algorithm and two other methods. (3) Results: The concordance of techniques applied on respiratory and blood samples was moderate (kappa = 0.58 and kappa = 0.63, respectively), with a higher sensitivity of PCR. According to AspICU, 9/45 patients were classified as putative IA. When incorporating PCR results, 15 were putative IA because they met all criteria, probably with a lack of specificity in the context of COVID-19. Using a modified AspICU algorithm, eight patients were classified as colonized and seven as putative IA. (4) Conclusion: An appreciation of the fungal burden using PCR and Aspergillus serology was added to propose a modified AspICU algorithm. This proof of concept seemed relevant, as it was in agreement with the outcome of patients, but will need validation in larger cohorts.

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