Evidence map›Paper›PMID 32979474›Full record

ArticleVirus research2020

IFN-γ is an independent risk factor associated with mortality in patients with moderate and severe COVID-19 infection.

Ana Carolina Gadotti, Marina de Castro Deus, Joao Paulo Telles, Rafael Wind, Marina Goes, Roberta Garcia Charello Ossoski, Alessandra Michalski de Padua, Lucia de Noronha, Andrea Moreno-Amaral, Cristina Pellegrino Baena and 1 more

Open access · greenAbstract read
In one paragraph

Article in Virus research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 116 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
116citing papers in PubMed, 6 pooled it
3.5field-weighted citation impact, top 4% 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

116 citing papers in PubMed, 6 syntheses or guidelines pooled it, 184 citations in OpenAlex.

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  3. COVID-19 pandemic: the delta variant, T-cell responses, and the efficacy of developing vaccines.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2022
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  4. Associations between Serum Interleukins (IL-1BioMed research international · 2022
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56 more citing papers are in PubMed but not listed here.

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

11 authors at 2 institutions in 1 country.

Ana Carolina GadottiLaboratory of Anemia and Immunology Research (LabAIRe), Pontifícia Universidade Católica do Paraná, Curitiba, Paraná, Brazil.
Marina de Castro DeusLaboratory of Anemia and Immunology Research (LabAIRe), Pontifícia Universidade Católica do Paraná, Curitiba, Paraná, Brazil.
Joao Paulo TellesHospital Universitário Evangélico Mackenzie, Curitiba, Paraná, Brazil; Hospital Universitário Cajuru, Pontifícia Universidade Católica do Paraná, Curitiba, Paraná, Brazil.
Rafael WindHospital Universitário Evangélico Mackenzie, Curitiba, Paraná, Brazil.
Marina GoesHospital Universitário Evangélico Mackenzie, Curitiba, Paraná, Brazil.
Roberta Garcia Charello OssoskiSchool of Medicine, Pontifícia Universidade Católica do Paraná, PUC-PR, Curitiba, PR, Brazil.
Alessandra Michalski de PaduaSchool of Medicine, Pontifícia Universidade Católica do Paraná, PUC-PR, Curitiba, PR, Brazil.
Lucia de NoronhaExperimental Pathology Laboratory, Pontifícia Universidade Católica do Paraná, Curitiba, Brazil.
Andrea Moreno-AmaralLaboratory of Anemia and Immunology Research (LabAIRe), Pontifícia Universidade Católica do Paraná, Curitiba, Paraná, Brazil.
Cristina Pellegrino BaenaSchool of Medicine, Pontifícia Universidade Católica do Paraná, PUC-PR, Curitiba, PR, Brazil.
Felipe Francisco TuonLaboratory of Emerging Infectious Diseases, Pontifícia Universidade Católica do Paraná, Curitiba, Paraná, Brazil. Electronic address: felipe.tuon@pucpr.br.
Pontifícia Universidade Católica do Paraná · BRHospital Universitário Evangélico de Curitiba · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInnate and adaptive immune responses have been evaluated in infected patients with COVID-19. The severity of the disease has been supposed to be associated with some profile not reported with other bacterial and viral pneumonia. We proposed a study in patients with moderate to severe COVID-19 infection to evaluate the interleukin patterns and its role as prognosis factors.

methodsA prospective cohort with moderate and severe cases of COVID-19 infection from June to July 2020. Blood samples from patients were collected regularly to evaluate IFN-γ, TNF-α, IL-4, IL-6, and IL-10. Clinical, laboratory, radiological data, and outcomes were recorded. The outcome variable was in-hospital death, survival, mechanical ventilation, and admission at the intensive care unit. Data are presented in median and interquartile range [IQR].

resultsWe evaluated the Th1 and Th2 responses according to evolution, distinguishing possible predictive markers. The IFN-γ median of 323 pg/mL [IQR 166-570] was found in patients who died and 208 pg/mL [IQR 155-392] in the survival group (p = 0.017). IFN-γ was also higher in the early stages of the disease (394 pg/mL [IQR 229-575] against 162 pg/mL [IQR 117-259], p < 0.001). IL-4 that was increased in late-stage (182 pg/mL [IQR 162-199] against 131 pg/mL [IQR 124-152], p < 0.001) but not associated with mortality. Also, death was also related to male gender (relative risk = 1.5 [95 % confidence interval = 1.1-2.0]).

conclusionOur results suggest that the activation of the host immune response between Th1 or Th2 in COVID-19 infection may be related to the final result between discharge or death. This implies an attempt to control cytokines, such as IFN-γ, with combined therapies for clinical treatment.

Indexed as

BetacoronavirusPandemicsAgedComorbidityCoronavirus InfectionsCOVID-19Cytokine Release SyndromeCytokinesDisease ProgressionFemaleHospital MortalityHumansImmunity, InnateInpatientsIntensive Care UnitsInterferon-gammaCytokinesInterferon-gammaCOVID-19CytokinesImmune responseInterleukin

Identifiers

PMID32979474
PMCPMC7510544
OpenAlexW3087030846

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.