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. 2020 Jul 10;6(3):105.
doi: 10.3390/jof6030105.

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

Affiliations

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

Jean-Pierre Gangneux et al. J Fungi (Basel). .

Abstract

(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 evaluatedAspergillus PCR input to help classifying IA in SARS-CoV-2-infected patients. (2) Methods: 45COVID-19 patients were prospectively monitored twice weekly for Aspergillus markers and anti-Aspergillus serology. We evaluated the concordance between (Ι) Aspergillus PCR and culture inrespiratory samples, and (ΙΙ) blood PCR and serum galactomannan. Patients were classified asputative/proven/colonized using AspICU algorithm and two other methods. (3) Results: Theconcordance of techniques applied on respiratory and blood samples was moderate (kappa = 0.58and kappa = 0.63, respectively), with a higher sensitivity of PCR. According to AspICU, 9/45 patientswere classified as putative IA. When incorporating PCR results, 15 were putative IA because theymet all criteria, probably with a lack of specificity in the context of COVID-19. Using a modifiedAspICU 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 addedto propose a modified AspICU algorithm. This proof of concept seemed relevant, as it was inagreement with the outcome of patients, but will need validation in larger cohorts.

Keywords: Aspergillus; COVID-19; ICU; PCR; Sars-CoV-2; classification; galactomannan; invasive aspergillosis; probable; putative.

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Conflict of interest statement

J.-P.G. received funds for communications and congress attendance from Pfizer and Gilead. The other authors declare they have no conflict of interest.

Figures

Figure 1
Figure 1
Correlation between molecular and cultural quantification of Aspergillus burden in respiratory samples (rare: 1–2 CFU/plate; few: 2–5; numerous: >5). * significantly different with p < 0.05. ** significantly different with p < 0.01.
Figure 2
Figure 2
Computed tomography of the chest of patients with COVID-19 with secondary invasive aspergillosis. Unenhanced chest CT in a 59-year-old man with COVID-19 and biological markers of invasive aspergillosis performed at baseline (A) and at 12-day follow-up (B) showing subpleural ground-glass and reticular opacities presumed to correspond to COVID-19 lesions (arrowheads) as well as a right apical consolidation area presumed to correspond to invasive aspergillosis (arrow). Enhanced chest CT in a 69-year-old man with COVID-19 and biological markers of invasive aspergillosis showing at baseline (C) ground-glass opacities (arrowheads), and at 11-day follow-up (D) a left postero-basal consolidation presumed to correspond to invasive aspergillosis (arrow). (346-mm field of view, 512 × 512 image matrix, lung window (W1600/L-500 HU)).

References

    1. White P.L., Wingard J.R., Bretagne S., Löffler J., Patterson T.F., Slavin M.A., Barnes R.A., Pappas P.G., Donnelly J.P. Aspergillus Polymerase Chain Reaction: Systematic Review of Evidence for Clinical Use in Comparison With Antigen Testing. J. Clin. Microbiol. 2015;61:1293–1303. doi: 10.1093/cid/civ507. - DOI - PMC - PubMed
    1. Donnelly J.P., Chen S.C., Kauffman C.A., Steinbach W.J., Baddley J.W., Verweij P.E., Clancy C.J., Wingard J.R., Lockhart S.R., Groll A.H., et al. Revision and Update of the Consensus Definitions of Invasive Fungal Disease From the European Organization for Research and Treatment of Cancer and the Mycoses Study Group Education and Research Consortium. Clin. Infect. Dis. 2019:ciz1008. doi: 10.1093/cid/ciz1008. - DOI - PMC - PubMed
    1. Blot S., Taccone F., Van den Abeele A., Meersseman W., Brusselaers W., Dimopoulos G., Paiva J., Misset B., Rello J., Vandewoude K., et al. A clinical algorithm to diagnose invasive pulmonary aspergillosis in critically ill patients. Am. J. Respir. Crit. Care Med. 2012;186:56–64. doi: 10.1164/rccm.201111-1978OC. - DOI - PubMed
    1. Bulpa P., Bihin B., Dimopoulos G., Taccone F.S., Van den Abeele A.-M., Misset B., Meersseman W., Spapen H., Cardoso T., Charles P.-E., et al. Which algorithm diagnoses invasive pulmonary aspergillosis best in ICU patients with COPD? Eur. Respir. J. 2017;50:1700532. doi: 10.1183/13993003.00532-2017. - DOI - PubMed
    1. Bassetti M., Giacobbe D.R., Grecchi C., Rebuffi C., Zuccaro V., Scudeller L., FUNDICU Investigators Performance of existing definitions and tests for the diagnosis of invasive aspergillosis in critically ill, adult patients: A systematic review with qualitative evidence synthesis. J. Infect. 2020 doi: 10.1016/j.jinf.2020.03.065. - DOI - PubMed

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