Evidence map›Paper›PMID 35030224›Full record

Observational studyPloS one2022

Thromboelastometry demonstrates endogenous coagulation activation in nonsevere and severe COVID-19 patients and has applicability as a decision algorithm for intervention.

Rodrigo B Aires, Alexandre A de S M Soares, Ana Paula M Gomides, André M Nicola, Andréa Teixeira-Carvalho, Dayde Lane M da Silva, Eliana T de Gois, Flávia D Xavier, Francielle P Martins, Gabriela P J Santos and 16 more

Abstract readObservational Study
In one paragraph

Observational study in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Review
  5. Review
  6. Article
  7. Review
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

26 authors.

Rodrigo B AiresPrograma de Pós-graduação em Ciências Médicas da Faculdade de Medicina da Universidade de Brasília (UnB), Brasília, Distrito Federal, Brazil.ORCID 0000-0003-3044-2064
Alexandre A de S M SoaresPrograma de Pós-graduação em Ciências Médicas da Faculdade de Medicina da Universidade de Brasília (UnB), Brasília, Distrito Federal, Brazil.
Ana Paula M GomidesFaculdade de Ciências da Saúde, Centro Universitário de Brasília, Brasília, Distrito Federal, Brazil.
André M NicolaPrograma de Pós-graduação em Ciências Médicas da Faculdade de Medicina da Universidade de Brasília (UnB), Brasília, Distrito Federal, Brazil.ORCID 0000-0001-8656-5835
Andréa Teixeira-CarvalhoGrupo Integrado de Pesquisa em Biomarcadores, Fundação Oswaldo Cruz (FIOCRUZ), Belo Horizonte, Minas Gerais, Brazil.
Dayde Lane M da SilvaDepartamento de Farmácia, Universidade de Brasília (UnB), Brasília, Distrito Federal, Brazil.
Eliana T de GoisPrograma de Pós-graduação em Ciências Médicas da Faculdade de Medicina da Universidade de Brasília (UnB), Brasília, Distrito Federal, Brazil.ORCID 0000-0001-9753-6482
Flávia D XavierPrograma de Pós-graduação em Ciências Médicas da Faculdade de Medicina da Universidade de Brasília (UnB), Brasília, Distrito Federal, Brazil.
Francielle P MartinsPrograma de Pós-graduação em Ciências Médicas da Faculdade de Medicina da Universidade de Brasília (UnB), Brasília, Distrito Federal, Brazil.ORCID 0000-0001-5785-1330
Gabriela P J SantosPrograma de Pós-graduação em Ciências Médicas da Faculdade de Medicina da Universidade de Brasília (UnB), Brasília, Distrito Federal, Brazil.
Heidi Luise SchultePrograma de Pós-graduação em Ciências Médicas da Faculdade de Medicina da Universidade de Brasília (UnB), Brasília, Distrito Federal, Brazil.
Isabelle S LuzLaboratório de Bioquímica e Química de Proteínas, Departamento de Biologia Celular, Instituto de Ciências Biológicas, Universidade de Brasília (UnB), Brasília, Distrito Federal, Brazil.
Laila S EspindolaPrograma de Pós-graduação em Ciências Médicas da Faculdade de Medicina da Universidade de Brasília (UnB), Brasília, Distrito Federal, Brazil.
Laurence R do AmaralLaboratório de Bioinformática e Análises Moleculares, Rede Multidisciplinar de Pesquisa, Ciência e Tecnologia (RMPCT), Universidade Federal de Uberlândia, Patos de Minas, Minas Gerais, Brazil.ORCID 0000-0003-4681-5451
Liza F FelicoriLaboratório de Biologia Sintética e Biomiméticos, Departamento de Bioquímica e Imunologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Minas Gerais, Brazil.
Luciana A NavesPrograma de Pós-graduação em Ciências Médicas da Faculdade de Medicina da Universidade de Brasília (UnB), Brasília, Distrito Federal, Brazil.
Maíra R M de CarvalhoPrograma de Pós-graduação em Ciências Médicas da Faculdade de Medicina da Universidade de Brasília (UnB), Brasília, Distrito Federal, Brazil.ORCID 0000-0002-2319-6582
Matheus de S GomesLaboratório de Bioinformática e Análises Moleculares, Rede Multidisciplinar de Pesquisa, Ciência e Tecnologia (RMPCT), Universidade Federal de Uberlândia, Patos de Minas, Minas Gerais, Brazil.
Otávio T NóbregaPrograma de Pós-graduação em Ciências Médicas da Faculdade de Medicina da Universidade de Brasília (UnB), Brasília, Distrito Federal, Brazil.ORCID 0000-0003-1775-7176
Patrícia AlbuquerqueFaculdade UnB Ceilândia, Universidade de Brasília (UnB), Brasília, Distrito Federal, Brazil.
Wagner FontesLaboratório de Bioquímica e Química de Proteínas, Departamento de Biologia Celular, Instituto de Ciências Biológicas, Universidade de Brasília (UnB), Brasília, Distrito Federal, Brazil.
Ciro M GomesPrograma de Pós-graduação em Ciências Médicas da Faculdade de Medicina da Universidade de Brasília (UnB), Brasília, Distrito Federal, Brazil.ORCID 0000-0002-3069-6884
Patricia S KurizkyPrograma de Pós-graduação em Ciências Médicas da Faculdade de Medicina da Universidade de Brasília (UnB), Brasília, Distrito Federal, Brazil.ORCID 0000-0002-5759-2727
Cleandro P AlbuquerquePrograma de Pós-graduação em Ciências Médicas da Faculdade de Medicina da Universidade de Brasília (UnB), Brasília, Distrito Federal, Brazil.
Olindo A Martins-FilhoGrupo Integrado de Pesquisa em Biomarcadores, Fundação Oswaldo Cruz (FIOCRUZ), Belo Horizonte, Minas Gerais, Brazil.
Licia Maria H da MotaPrograma de Pós-graduação em Ciências Médicas da Faculdade de Medicina da Universidade de Brasília (UnB), Brasília, Distrito Federal, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In patients with severe forms of COVID-19, thromboelastometry has been reported to display a hypercoagulant pattern. However, an algorithm to differentiate severe COVID-19 patients from nonsevere patients and healthy controls based on thromboelastometry parameters has not been developed. Forty-one patients over 18 years of age with positive qRT-PCR for SARS-CoV-2 were classified according to the severity of the disease: nonsevere (NS, n = 20) or severe (S, n = 21). A healthy control (HC, n = 9) group was also examined. Blood samples from all participants were tested by extrinsic (EXTEM), intrinsic (INTEM), non-activated (NATEM) and functional assessment of fibrinogen (FIBTEM) assays of thromboelastometry. The thrombodynamic potential index (TPI) was also calculated. Severe COVID-19 patients exhibited a thromboelastometry profile with clear hypercoagulability, which was significantly different from the NS and HC groups. Nonsevere COVID-19 cases showed a trend to thrombotic pole. The NATEM test suggested that nonsevere and severe COVID-19 patients presented endogenous coagulation activation (reduced clotting time and clot formation time). TPI data were significantly different between the NS and S groups. The maximum clot firmness profile obtained by FIBTEM showed moderate/elevated accuracy to differentiate severe patients from NS and HC. A decision tree algorithm based on the FIBTEM-MCF profile was proposed to differentiate S from HC and NS. Thromboelastometric parameters are a useful tool to differentiate the coagulation profile of nonsevere and severe COVID-19 patients for therapeutic intervention purposes.

Indexed as

Blood CoagulationThrombelastographyAdultAgedAlgorithmsCOVID-19FemaleHumansLongitudinal StudiesMaleMiddle AgedSARS-CoV-2Severity of Illness IndexThrombophiliaYoung Adult

Identifiers

PMID35030224
PMCPMC8759688

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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.