Evidence map›Paper›PMID 35511210›Full record

ArticleMedical mycology2022

Impact of COVID-19 on the antifungal susceptibility profiles of isolates collected in a global surveillance program that monitors invasive fungal infections.

Michael A Pfaller, Cecilia G Carvalhaes, Sean DeVries, Paul R Rhomberg, Mariana Castanheira

Open access · greenAbstract read
In one paragraph

Article in Medical mycology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 pooled it
2.6field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 3 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Observational
  5. Article
  6. Article
  7. The Prevalence and Drug Susceptibility ofAntibiotics (Basel, Switzerland) · 2025
    Article
  8. Article
  9. Article
  10. TheIranian journal of pathology · 2025
    Article
  11. Increase in candidemia cases and emergence of fluconazole-resistantEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2024
    Article
  12. Candida parapsilosis complex in the clinical setting.Nature reviews. Microbiology · 2024
    Review
  13. IncreasingCurrent medical mycology · 2024
    Article
  14. Article
  15. Typing ofPathogens (Basel, Switzerland) · 2023
    Article
  16. Fluconazole and echinocandin resistance ofEpidemiology and infection · 2023
    Observational
  17. Journal of fungi (Basel, Switzerland) · 2023
    Article
  18. Article
  19. Article
  20. Lower Concentrations of Amphotericin B Combined withAntibiotics (Basel, Switzerland) · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Michael A PfallerJMI Laboratories, North Liberty, IA 52317.ORCID 0000-0003-4501-6068
Cecilia G CarvalhaesJMI Laboratories, North Liberty, IA 52317.ORCID 0000-0002-2734-3754
Sean DeVriesJMI Laboratories, North Liberty, IA 52317.ORCID 0000-0002-6902-9763
Paul R RhombergJMI Laboratories, North Liberty, IA 52317.ORCID 0000-0001-6798-7653
Mariana CastanheiraJMI Laboratories, North Liberty, IA 52317.ORCID 0000-0003-0126-1782
JMI Laboratories · USUniversity of Iowa · US

Funding

University of Iowa
6 · The paper itself

Abstract

Studies demonstrated the impact of the COVID-19 pandemic in the prevalence and susceptibility profiles of bacterial and fungal organisms. We analyzed 4821 invasive fungal isolates collected during 2018, 2019, and 2020 in 48 hospitals worldwide to evaluate the impact of this event in the occurrence and susceptibility rates of common fungal species. Isolates were tested using the CLSI broth microdilution method. While the percentage of total isolates that were C. glabrata (n = 710 isolates) or C. krusei (n = 112) slightly increased in 2020, the percentage for C. parapsilosis (n = 542), A. fumigatus (n = 416), and C. lusitaniae (n = 84) significantly decreased (P < .05). Fluconazole resistance in C. glabrata decreased from 5.8% in 2018-2019 to 2.0% in 2020, mainly due to fewer hospitals in the US having these isolates (5 vs. 1 hospital). Conversely, higher fluconazole-resistance rates were noted for C. parapsilosis (13.9 vs. 9.8%) and C. tropicalis (3.5 vs. 0.7%; P < .05) during 2020. Voriconazole resistance also increased for these species. Echinocandin resistance was unchanged among Candida spp. Voriconazole susceptibility rates in A. fumigatus were similar in these two periods (91.7% in 2018 and 2019 vs. 93.0% in 2020). Changes were also noticed in the organisms with smaller numbers of collected isolates. We observed variations in the occurrence of organisms submitted to a global surveillance and the susceptibility patterns for some organism-antifungal combinations. As the COVID-19 pandemic is still ongoing, the impact of this event must continue to be monitored to guide treatment of patients affected by bacterial and fungal infections. LAY SUMMARY: Secondary infections were documented in COVID-19 patients. We compared the prevalence of invasive fungal isolates consecutively collected in 48 worldwide hospitals and their susceptibility patterns between 2020, the year of the global COVID-19 pandemic, and the two prior years.

Indexed as

COVID-19Invasive Fungal InfectionsAnimalsAntifungal AgentsCandida glabrataCandida parapsilosisCandida tropicalisDrug Resistance, FungalFluconazoleMicrobial Sensitivity TestsPandemicsVoriconazoleAntifungal AgentsFluconazoleVoriconazoleantifungal susceptibilityazolesCOVID-19echinocandinsinvasive fungal infections

Identifiers

PMID35511210
PMCPMC9075155
OpenAlexW4226312104

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.