Evidence map›Paper›PMID 34095889›Full record

ArticleAmerican heart journal plus : cardiology research and practice2021

Understanding the role of left and right ventricular strain assessment in patients hospitalized with COVID-19.

Jakob Park, Yekaterina Kim, Jason Pereira, Kerrilynn C Hennessey, Kamil F Faridi, Robert L McNamara, Eric J Velazquez, David J Hur, Lissa Sugeng, Vratika Agarwal

Abstract read
In one paragraph

Article in American heart journal plus : cardiology research and practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

10 authors.

Jakob ParkDepartment of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
Yekaterina KimSection of Cardiovascular Medicine, Department of Medicine, Yale School of Medicine, New Haven, CT, USA.
Jason PereiraSection of Cardiovascular Medicine, Department of Medicine, Yale School of Medicine, New Haven, CT, USA.
Kerrilynn C HennesseySection of Cardiovascular Medicine, Department of Medicine, Yale School of Medicine, New Haven, CT, USA.
Kamil F FaridiSection of Cardiovascular Medicine, Department of Medicine, Yale School of Medicine, New Haven, CT, USA.
Robert L McNamaraSection of Cardiovascular Medicine, Department of Medicine, Yale School of Medicine, New Haven, CT, USA.
Eric J VelazquezSection of Cardiovascular Medicine, Department of Medicine, Yale School of Medicine, New Haven, CT, USA.
David J HurSection of Cardiovascular Medicine, Department of Medicine, Yale School of Medicine, New Haven, CT, USA.
Lissa SugengSection of Cardiovascular Medicine, Department of Medicine, Yale School of Medicine, New Haven, CT, USA.
Vratika AgarwalSection of Cardiovascular Medicine, Department of Medicine, Yale School of Medicine, New Haven, CT, USA.

Funding

Institutional Career Development CoreKL2TR001862 · NCATS · YALE UNIVERSITY · PI CANTLEY, LLOYD G, EDELMAN, E. JENNIFER · 2016 to 2025
$12.2M
NCATS NIH HHS KL2 TR001862
6 · The paper itself

Abstract

backgroundCoronavirus disease 2019 (COVID-19) can cause cardiac injury resulting in abnormal right or left ventricular function (RV/LV) with worse outcomes. We hypothesized that two-dimensional (2D) speckle-tracking assessment of LV global longitudinal strain (GLS) and RV free wall strain (FWS) by transthoracic echocardiography can assist as markers for subclinical cardiac injury predicting increased mortality.

methodsWe performed 2D strain analysis via proprietary software in 48 patients hospitalized with COVID-19. Clinical information, demographics, comorbidities, and lab values were collected via retrospective chart review. The primary outcome was in-hospital mortality based on an optimized abnormal LV GLS value via ROC analysis and RV FWS.

resultsThe optimal LV GLS cutoff to predict death was -13.8%, with a sensitivity of 85% (95% CI 55-98%) and specificity of 54% (95% CI 36-71%). Abnormal LV GLS >-13.8% was associated with a higher risk of death [unadjusted hazard ratio 5.15 (95% CI 1.13-23.45),

conclusionAbnormal LV strain with a cutoff of >-13.8% in patients with COVID-19 is associated with significantly higher risk of death. Despite normal LVEF, abnormal LV GLS predicted worse outcomes in patients hospitalized with COVID-19. There was no mortality difference based on RV strain.

Indexed as

2D, Two-dimensionalARDS, acute respiratory distress syndromeCOVID-19COVID-19, Coronavirus Disease 2019EF, ejection fractionFAC, fractional area changeFWS, free wall strainGLS, global longitudinal strainHFrEF, heart failure reduced ejection fractionHs-TNT, high sensitivity troponin TICC, intra-class correlation coefficientLeft ventricular strainLV, left ventricleNT-proBNP, NT-pro-brain natriuretic peptideRV, right ventricleSpeckle-tracking echocardiographyTTE, transthoracic echocardiography

Identifiers

PMID34095889
PMCPMC8168299

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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.