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Is the COVID-19 Pandemic a Good Time to Include Aspergillus Molecular Detection to Categorize Aspergillosis in ICU Patients? A Monocentric Experience.
Gangneux, Jean-Pierre; Reizine, Florian; Guegan, Hélène; Pinceaux, Kieran; Le Balch, Pierre; Prat, Emilie; Pelletier, Romain; Belaz, Sorya; Le Souhaitier, Mathieu; Le Tulzo, Yves; Seguin, Philippe; Lederlin, Mathieu; Tadié, Jean-Marc; Robert-Gangneux, Florence.
  • Gangneux JP; Service de Parasitologie-Mycologie, CHU Rennes, F-35033 Rennes, France.
  • Reizine F; Irset (Institut de Recherche en Santé, Environnement et Travail)-UMR_S 1085, Univ Rennes, CHU Rennes, Inserm, EHESP, F-35000 Rennes, France.
  • Guegan H; Maladies Infectieuses et Réanimation Médicale, CHU Rennes, F-35033 Rennes, France.
  • Pinceaux K; Service de Parasitologie-Mycologie, CHU Rennes, F-35033 Rennes, France.
  • Le Balch P; Irset (Institut de Recherche en Santé, Environnement et Travail)-UMR_S 1085, Univ Rennes, CHU Rennes, Inserm, EHESP, F-35000 Rennes, France.
  • Prat E; Maladies Infectieuses et Réanimation Médicale, CHU Rennes, F-35033 Rennes, France.
  • Pelletier R; Maladies Infectieuses et Réanimation Médicale, CHU Rennes, F-35033 Rennes, France.
  • Belaz S; Service de Parasitologie-Mycologie, CHU Rennes, F-35033 Rennes, France.
  • Le Souhaitier M; Service de Parasitologie-Mycologie, CHU Rennes, F-35033 Rennes, France.
  • Le Tulzo Y; Service de Parasitologie-Mycologie, CHU Rennes, F-35033 Rennes, France.
  • Seguin P; Maladies Infectieuses et Réanimation Médicale, CHU Rennes, F-35033 Rennes, France.
  • Lederlin M; Maladies Infectieuses et Réanimation Médicale, CHU Rennes, F-35033 Rennes, France.
  • Tadié JM; Service de Réanimation Chirurgicale, CHU Rennes, F-35033 Rennes, France.
  • Robert-Gangneux F; Service d'Imagerie Médicale, CHU Rennes, F-35033 Rennes, France.
J Fungi (Basel) ; 6(3)2020 Jul 10.
Article in English | MEDLINE | ID: covidwho-646390
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.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Diagnostic study / Experimental Studies / Observational study / Prognostic study Language: English Year: 2020 Document Type: Article Affiliation country: Jof6030105

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Diagnostic study / Experimental Studies / Observational study / Prognostic study Language: English Year: 2020 Document Type: Article Affiliation country: Jof6030105