Evidence map›Paper›PMID 36233816›Full record

ArticleJournal of clinical medicine2022

Troponin in COVID-19: To Measure or Not to Measure? Insights from a Prospective Cohort Study.

Renata Moll-Bernardes, João D Mattos, Eduardo B Schaustz, Andréa S Sousa, Juliana R Ferreira, Mariana B Tortelly, Adriana M L Pimentel, Ana Cristina B S Figueiredo, Marcia M Noya-Rabelo, Allan R K Sales and 7 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

17 authors at 4 institutions in 1 country.

Renata Moll-BernardesD'Or Institute for Research and Education, Rio de Janeiro 22281-100, Brazil.ORCID 0000-0001-8587-7319
João D MattosD'Or Institute for Research and Education, Rio de Janeiro 22281-100, Brazil.
Eduardo B SchaustzD'Or Institute for Research and Education, Rio de Janeiro 22281-100, Brazil.
Andréa S SousaD'Or Institute for Research and Education, Rio de Janeiro 22281-100, Brazil.
Juliana R FerreiraD'Or Institute for Research and Education, Rio de Janeiro 22281-100, Brazil.
Mariana B TortellyD'Or Institute for Research and Education, Rio de Janeiro 22281-100, Brazil.
Adriana M L PimentelD'Or Institute for Research and Education, Rio de Janeiro 22281-100, Brazil.ORCID 0000-0002-8870-5130
Ana Cristina B S FigueiredoD'Or Institute for Research and Education, Rio de Janeiro 22281-100, Brazil.
Marcia M Noya-RabeloD'Or Institute for Research and Education, Rio de Janeiro 22281-100, Brazil.ORCID 0000-0002-6800-8100
Allan R K SalesD'Or Institute for Research and Education, Rio de Janeiro 22281-100, Brazil.
Denilson C AlbuquerqueD'Or Institute for Research and Education, Rio de Janeiro 22281-100, Brazil.
Paulo H Rosado-de-CastroD'Or Institute for Research and Education, Rio de Janeiro 22281-100, Brazil.
Gabriel C CamargoD'Or Institute for Research and Education, Rio de Janeiro 22281-100, Brazil.
Olga F SouzaD'Or Institute for Research and Education, Rio de Janeiro 22281-100, Brazil.
Fernando A BozzaD'Or Institute for Research and Education, Rio de Janeiro 22281-100, Brazil.ORCID 0000-0003-4878-0256
Emiliano MedeiD'Or Institute for Research and Education, Rio de Janeiro 22281-100, Brazil.ORCID 0000-0002-0044-1311
Ronir R LuizD'Or Institute for Research and Education, Rio de Janeiro 22281-100, Brazil.ORCID 0000-0002-7784-9905
D’Or Institute for Research and Education · BRUniversidade Federal do Rio de Janeiro · BREscola Bahiana de Medicina e Saúde Pública · BRUniversidade do Estado do Rio de Janeiro · BR

Funding

CNPq no. 310681/2018-9Faperj E-26/210.155/2020,E-26/010.000149/2020, E-26/210.191/2020, E-26/210.253/2020
6 · The paper itself

Abstract

Myocardial injury (MI), defined by troponin elevation, has been associated with increased mortality and adverse outcomes in patients with coronavirus disease 2019 (COVID-19), but the role of this biomarker as a risk predictor remains unclear. Data from adult patients hospitalized with COVID-19 were recorded prospectively. A multiple logistic regression model was used to quantify associations of all variables with in-hospital mortality, including the calculation of odds ratios (ORs) and confidence intervals (CI). Troponin measurement was performed in 1476 of 4628 included patients, and MI was detected in 353 patients, with a prevalence of 23.9%; [95% CI, 21.8-26.1%]. The total in-hospital mortality rate was 10.9% [95% CI, 9.8-12.0%]. The mortality was much higher among patients with MI than among those without MI, with a prevalence of 22.7% [95% CI, 18.5-27.3%] vs. 5.5% [95% CI, 4.3-7.0%] and increased with each troponin level. After adjustment for age and comorbidities, the model revealed that the mortality risk was greater for patients with MI [OR = 2.99; 95% CI, 2.06-4.36%], and for those who did not undergo troponin measurement [OR = 2.2; 95% CI, 1.62-2.97%], compared to those without MI. Our data support the role of troponin as an important risk predictor for these patients, capable of discriminating between those with a low or increased mortality rate. In addition, our findings suggest that this biomarker has a remarkable negative predictive value in COVID-19.

Indexed as

biomarkerCOVID-19myocardial injuryprognosistroponin

Identifiers

PMID36233816
PMCPMC9570932
OpenAlexW4303945928

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.