PreprintCited by 27Antifungal resistance and susceptibilityCOVID-19 Clinical Research StudiesNosocomial Infections in ICU

High Prevalence of Putative Invasive Pulmonary Aspergillosis in Critically Ill COVID-19 Patients

Open access
Alanio, Alexandre, Dellière, Sarah, Fodil, Sofiane, Bretagne, Stéphane, Mégarbane, Bruno·2020·SSRN Electronic Journal

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Registry

Crossref · 10.2139/ssrn.3575581

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  • At the time of writing, there are an increasing number of reports from Europe of patients with probable or possible COVID-19 associated pulmonary aspergillosis.

    “at the time of writing there are an increasing number of reports from Europe of patients with probable or possible COVID-19 associated pulmonary aspergillosis.50, 51, 52, 53, 54”

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Authors
Alanio, A., Dellière, S., Fodil, S., Bretagne, S., & Mégarbane, B.
Affiliations
  • Assistance Publique – Hôpitaux de Paris (FR)
  • Université Paris Cité (FR)
Corresponding author
Alanio, Alexandre
Venue
SSRN Electronic Journal
Publisher
Elsevier BV
Published
2020
ISSN
1556-5068 (ISSN-L)
OpenAlex
W3016402481
Cited by
27
References
0
Citations by year
2024: 1 · 2022: 4 · 2021: 7 · 2020: 15
Type
posted content
Language
en
Open access
Locations
SSRN Electronic Journal (publishedVersion)
Topics
  • Health Sciences › Medicine › Infectious Diseases › Antifungal resistance and susceptibility
  • Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
  • Health Sciences › Medicine › Critical Care and Intensive Care Medicine › Nosocomial Infections in ICU
Keywords
COVID-19 pandemic, invasive pulmonary aspergillosis, critically ill patients, intensive care unit, bronchoalveolar lavage, bronchial aspirate, Aspergillus, acute respiratory distress syndrome, corticosteroid therapy, oseltamivir, antifungal prophylaxis, immunomodulatory therapy, lung inflammation

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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