Evidence map›Paper›PMID 35389603›Full record

ArticleArchivos de cardiologia de Mexico2022

[Cardiac compromise in patients recovered from COVID-19 without troponin elevation assessed by cardiac magnetic resonance imaging].

Adrián Carlessi, Leonel Perello, Cristian Pantaley, Armando Borsini, Lucía Rossi, Florencia Giménez, Julián Leonardi, Ariel Ballina, Martin Maillo, Paula Di-Rienzo and 7 more

Open access · greenAbstract readEnglish Abstract
In one paragraph

Article in Archivos de cardiologia de Mexico, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 3 countries.

Adrián CarlessiDepartamento de Imágenes Cardiacas No Invasivas, Servicio de Diagnóstico por Imágenes; Hospital José María Cullen, Santa Fe Capital, Santa Fe, Argentina.
Leonel PerelloDepartamento de Imágenes Cardiacas No Invasivas, Servicio de Diagnóstico por Imágenes; Hospital José María Cullen, Santa Fe Capital, Santa Fe, Argentina.
Cristian PantaleyServicio de Cardiología, Hospital José María Cullen, Santa Fe Capital, Santa Fe, Argentina.
Armando BorsiniServicio de Cardiología, Hospital José María Cullen, Santa Fe Capital, Santa Fe, Argentina.
Lucía RossiServicio de Cardiología, Hospital José María Cullen, Santa Fe Capital, Santa Fe, Argentina.
Florencia GiménezServicio de Cardiología, Hospital José María Cullen, Santa Fe Capital, Santa Fe, Argentina.
Julián LeonardiServicio de Cardiología, Hospital José María Cullen, Santa Fe Capital, Santa Fe, Argentina.
Ariel BallinaDepartamento de Neumonología y Alergia, Hospital José María Cullen, Santa Fe Capital, Santa Fe, Argentina.
Martin MailloDepartamento de Neumonología y Alergia, Hospital José María Cullen, Santa Fe Capital, Santa Fe, Argentina.
Paula Di-RienzoDepartamento de Neumonología y Alergia, Hospital José María Cullen, Santa Fe Capital, Santa Fe, Argentina.
Paula GonzaloDepartamento de Neumonología y Alergia, Hospital José María Cullen, Santa Fe Capital, Santa Fe, Argentina.
Martín González-VaraDepartamento de Neumonología y Alergia, Hospital José María Cullen, Santa Fe Capital, Santa Fe, Argentina.
Luciana VegettiDepartamento de Neumonología y Alergia, Hospital José María Cullen, Santa Fe Capital, Santa Fe, Argentina.
Sebastián WusttenDepartamento de Neumonología y Alergia, Hospital José María Cullen, Santa Fe Capital, Santa Fe, Argentina.
Lucas CostaFacultad de Ciencias Médicas, Universidad Nacional del Litoral, Santa Fe Capital, Santa Fe, Argentina.
Diego VergaraServicio de Diagnostico por Imágenes, Hospital José María Cullen. Santa Fe Capital, Santa Fe, Argentina.
Cristian FroulletServicio de Diagnostico por Imágenes, Hospital José María Cullen. Santa Fe Capital, Santa Fe, Argentina.
Hospital de Santa Maria · PTCentro Científico Tecnológico - Santa Fe · ARCentrus Diagnósticos por Imagem · BRUniversidad Nacional del Litoral · AR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The disease caused by coronavirus (COVID-19) affects the cardiovascular system, whether by direct viral aggression or indirectly through systemic inflammation and multiple organ compromise. A widely used method to determine cardiac injury is troponin measurement. The aim of this study is to evaluate the prevalence of cardiac involvement (CINV) in a population recovered from COVID-19, referred to cardiac MRI (CMR), who did not present troponin elevation. Methods: There were 156 patients that recovered from COVID-19 and who did not present troponin elevation referred to CMR. CINV was considered to be the presence of: late gadolinium enhancement (LGE), edema, myocarditis, pericarditis, left ventricular systolic dysfunction (LVSD) and/or depressed right ventricular systolic dysfunction (RVSD). Results: Prevalence of CINV was 28.8%, being more frequent in men (p=0.002), in patients who required hospitalization (p=0.04) and in those who experienced non-mild cases of infection (p=0.007). RVSD (17.9%) and LVSD (13.4%) were the most frequent findings. The rate of myocarditis was 0.6%. LGE manifested in 7.1% of patients and its presence was related to less left ventricular ejection fraction (LVEF) (p=0.0001) and right ventricular ejection fraction (RVEF) (p=0.04). Conclusion: In patients who recovered from COVID-19, 28.8% of CINV was found. It was more frequent in men, in patients who required admission and in patients with cases of non-mild infection. The patients that presented LGE had less LVEF and RVSF.

Indexed as

Cardiac magnetic resonanceCOVID-19Late gadolinium enhancementTroponins

Identifiers

PMID35389603
PMCPMC12169372
OpenAlexW4225670783

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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.