Evidence map›Paper›PMID 35142812›Full record

ArticleMedical mycology2022

Detection of anti-Histoplasma capsulatum antibodies and seroconversion patterns in critically ill patients with COVID-19: An underdiagnosed fungal entity complicating COVID-19?

María A Toscanini, Fernanda Barberis, María F Benedetti, Agustín Videla Garrido, Gladys B Posse, Paula Capece, Gabriela López Daneri, Alejandro D Nusblat, María L Cuestas

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Review
  3. Persistent fever after coronavirus disease 2019 in liver/kidney transplant recipient.Transplant infectious disease : an official journal of the Transplantation Society · 2024
    Article
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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

9 authors at 3 institutions in 1 country.

María A ToscaniniFacultad de Farmacia y Bioquímica. Instituto de Nanobiotecnología (NANOBIOTEC). Universidad de Buenos Aires, Buenos Aires, Argentina.
Fernanda BarberisSección de Infectología. Hospital Nacional Profesor Alejandro Posadas, Buenos Aires, Argentina.
María F BenedettiUnidad de Terapia Intensiva. Hospital Nacional Profesor Alejandro Posadas, Buenos Aires, Argentina.
Agustín Videla GarridoCONICET. Instituto de Investigaciones en Microbiología y Parasitología Médica (IMPaM). Universidad de Buenos Aires, Buenos Aires, Argentina.
Gladys B PosseLaboratorio de Micología. Hospital Nacional Profesor Alejandro Posadas. Buenos Aires, Argentina.
Paula CapeceLaboratorio de Micología. Hospital Nacional Profesor Alejandro Posadas. Buenos Aires, Argentina.
Gabriela López DaneriCONICET. Instituto de Investigaciones en Microbiología y Parasitología Médica (IMPaM). Universidad de Buenos Aires, Buenos Aires, Argentina.
Alejandro D NusblatFacultad de Farmacia y Bioquímica. Instituto de Nanobiotecnología (NANOBIOTEC). Universidad de Buenos Aires, Buenos Aires, Argentina.
María L CuestasCONICET. Instituto de Investigaciones en Microbiología y Parasitología Médica (IMPaM). Universidad de Buenos Aires, Buenos Aires, Argentina.ORCID 0000-0003-4467-996X
Hospital Posadas · ARConsejo Nacional de Investigaciones Científicas y Técnicas · ARUniversidad de Buenos Aires · AR

Funding

Agencia Nacional de Promoción Científica y Técnica 2018-02186
6 · The paper itself

Abstract

The patients with severe COVID-19 are at increased risk for invasive fungal infections, such as invasive pulmonary aspergillosis and candidiasis, which increase morbidity and mortality. However, clinicians should also consider the possibility of reactivating latent Histoplasma capsulatum in patients with severe COVID-19 living within areas of endemicity who have worsening respiratory function or sepsis, even if they do not have classical risk factors for histoplasmosis (e.g., HIV/AIDS). Bearing in mind this scenario, serum samples of 39 non-HIV/AIDS patients from Buenos Aires hospitalized due to severe COVID-19 pneumonia were analyzed for anti-H. capsulatum-specific IgG antibodies by an in-house ELISA. Antibodies against H. capsulatum were detected in the sera of 8/39 patients (20.51%). To exclude the possibility that these antibodies arose from past exposure of these patients to the fungus, paired serum samples obtained after an interval of at least 10 days were evaluated. Of them, five patients (62.5%) with negative anti-H. capsulatum antibodies at baseline became seropositive 7-10 days later. Three patients (37.5%) had positive anti-H. capsulatum antibodies at baseline, but at time point 2, one of them became seronegative and the other one diminished the antibody titers (4000 vs. 16000 at baseline). The remaining patients displayed higher antibody titers at time point 2 (4000 vs. 1000 at baseline) and died immediately thereafter. In conclusion, awareness of the possibility of fungal co-infections is essential to reduce delays in diagnosis and treatment in order to help prevent severe illness and death from these infections. LAY SUMMARY: This study verifies that patients with severe COVID-19 at ICU are at risk for histoplasmosis reactivation in endemic areas. Accurate diagnosis of this deadly fungal disease among critically ill patients with COVID-19 living in endemic areas for histoplasmosis is needed.

Indexed as

COVID-19HistoplasmosisAntibodies, FungalCritical IllnessHistoplasmaHumansSARS-CoV-2SeroconversionAntibodies, FungalCOVID-19-associated mycosesHistoplasmosisSARS-CoV-2SeroconversionSevere respiratory failure

Identifiers

PMID35142812
PMCPMC8903390
OpenAlexW4210611923

What OpenQuestion holds

Textmetadata
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.