Evidence map›Paper›PMID 33521240›Full record

ArticleInternational journal of cardiology. Heart & vasculature2021

Left ventricular global longitudinal strain in identifying subclinical myocardial dysfunction among patients hospitalized with COVID-19.

Hezzy Shmueli, Maulin Shah, Joseph E Ebinger, Long-Co Nguyen, Fernando Chernomordik, Nir Flint, Patrick Botting, Robert J Siegel

Open access · goldAbstract read
In one paragraph

Article in International journal of cardiology. Heart & vasculature, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 pooled it
2.7field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 3 syntheses or guidelines pooled it, 44 citations in OpenAlex.

  1. Pooled it
  2. Echocardiographic assessment of the right ventricle in COVID-19: a systematic review.The international journal of cardiovascular imaging · 2021
    Pooled it
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  14. Cardiovascular System during SARS-CoV-2 Infection.International journal of environmental research and public health · 2022
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  16. Acute and Chronic Effects of COVID-19 on the Cardiovascular System.Journal of cardiovascular development and disease · 2021
    Review
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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

8 authors at 4 institutions in 2 countries.

Hezzy ShmueliSmidt Heart Institute, Cedars Sinai Medical Center, Los Angeles, CA, USA.
Maulin ShahSmidt Heart Institute, Cedars Sinai Medical Center, Los Angeles, CA, USA.
Joseph E EbingerSmidt Heart Institute, Cedars Sinai Medical Center, Los Angeles, CA, USA.
Long-Co NguyenSmidt Heart Institute, Cedars Sinai Medical Center, Los Angeles, CA, USA.
Fernando ChernomordikSmidt Heart Institute, Cedars Sinai Medical Center, Los Angeles, CA, USA.
Nir FlintSmidt Heart Institute, Cedars Sinai Medical Center, Los Angeles, CA, USA.
Patrick BottingSmidt Heart Institute, Cedars Sinai Medical Center, Los Angeles, CA, USA.
Robert J SiegelSmidt Heart Institute, Cedars Sinai Medical Center, Los Angeles, CA, USA.
Cedars-Sinai Medical Center · USCedars-Sinai Smidt Heart Institute · USSheba Medical Center · ILTel Aviv Sourasky Medical Center · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe incidence of acute cardiac injury in COVID-19 patients is very often subclinical and can be detected by cardiac magnetic resonance imaging. The aim of this study was to assess if subclinical myocardial dysfunction could be identified using left ventricular global longitudinal strain (LV-GLS) in patients hospitalized with COVID-19.

methodsWe performed a search of COVID-19 patients admitted to our institution from January 1st, 2020 to June 8th, 2020, which revealed 589 patients (mean age = 66 ± 18, male = 56%). All available 60 transthoracic echocardiograms (TTE) were reviewed and off-line assessment of LV-GLS was performed in 40 studies that had sufficient quality images and the views required to calculate LV-GLS. We also analyzed electrocardiograms and laboratory findings including inflammatory markers, Troponin-I, and B-type natriuretic peptide (BNP).

resultsOf 589 patients admitted with COVID-19 during our study period, 60 (10.1%) underwent TTE during hospitalization. Findings consistent with overt myocardial involvement included reduced ejection fraction (23%), wall motion abnormalities (22%), low stroke volume (82%) and increased LV wall thickness (45%). LV-GLS analysis was available for 40 patients and was abnormal in 32 patients (80%). All patients with LV dysfunction had elevated cardiac enzymes and positive inflammatory biomarkers.

conclusionsSubclinical myocardial dysfunction as measured via reduced LV-GLS is frequent, occurring in 80% of patients hospitalized with COVID-19, while prevalent LV function parameters such as reduced EF and wall motion abnormalities were less frequent findings. The mechanism of cardiac injury in COVID-19 infection is the subject of ongoing research.

Indexed as

AV, atrioventricularBNP, B-type natriuretic peptideCMRI, cardiac magnetic resonance imagingCOPD, chronic obstructive pulmonary diseaseCOVID-19COVID-19, coronavirus disease 2019CRP, C-reactive proteinECG, electrocardiogramEchocardiographyGlobal longitudinal strainHTN, hypertensionICU, intensive care unitIL-6, interleukin-6LA, left atriumLDH, lactate dehydrogenaseLVEF, left ventricular ejection fractionLV-GLS, left ventricular global longitudinal strainLV, left ventricleLVOT, left ventricular outflow tractRV, right ventricleSARS, severe acute respiratory syndromeT2DM, type-2 diabetes mellitusTAPSE, tricuspid annular plane systolic excursionTTE, transthoracic echocardiogramVTI, velocity-time integral

Identifiers

PMID33521240
PMCPMC7830223
OpenAlexW3122687768

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.