Evidence map›Paper›PMID 32563650›Full record

ArticleJACC. Cardiovascular imaging2020

Cardiac Magnetic Resonance Feature Tracking Global Longitudinal Strain and Prognosis After Heart Transplantation.

Chetan Shenoy, Simone Romano, Andrew Hughes, Osama Okasha, Prabhjot S Nijjar, Pratik Velangi, Cindy M Martin, Mehmet Akçakaya, Afshin Farzaneh-Far

Abstract read
In one paragraph

Article in JACC. Cardiovascular imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Trial
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  5. Enhanced risk stratification in chronic coronary syndrome using the left atrioventricular coupling index.Clinical research in cardiology : official journal of the German Cardiac Society · 2025
    Article
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  13. Review
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  15. Article
  16. Myocardial mechanics in dilated cardiomyopathy: prognostic value of left ventricular torsion and strain.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2021
    Article
  17. Article
  18. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Chetan ShenoyDepartment of Medicine, Cardiovascular Division, University of Minnesota Medical School, Minneapolis, Minnesota. Electronic address: cshenoy@umn.edu.
Simone RomanoDepartment of Medicine, University of Verona, Verona, Italy.
Andrew HughesDepartment of Medicine, Cardiovascular Division, University of Minnesota Medical School, Minneapolis, Minnesota.
Osama OkashaDepartment of Medicine, Cardiovascular Division, University of Minnesota Medical School, Minneapolis, Minnesota; Department of Medicine, University of Missouri-Kansas City, Kansas City, Missouri.
Prabhjot S NijjarDepartment of Medicine, Cardiovascular Division, University of Minnesota Medical School, Minneapolis, Minnesota.
Pratik VelangiDepartment of Medicine, Cardiovascular Division, University of Minnesota Medical School, Minneapolis, Minnesota.
Cindy M MartinDepartment of Medicine, Cardiovascular Division, University of Minnesota Medical School, Minneapolis, Minnesota.
Mehmet AkçakayaDepartment of Electrical and Computer Engineering and Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota.
Afshin Farzaneh-FarSection of Cardiology, Department of Medicine, University of Illinois at Chicago, Chicago, Illinois.

Funding

University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR000114 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R · 2012 to 2015
$35.0M
University of Minnesota Clinical and Translational Science Institute (UMN CTSI)KL2TR000113 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R · 2012 to 2015
$5.4M
Cardiac Fibrosis and Risk Prediction in Cancer Treatment-Related CardiotoxicityK23HL132011 · NHLBI · UNIVERSITY OF MINNESOTA · PI SHENOY, CHETAN N · 2016 to 2020
$884k
Novel Accelerated Contrast-Enhanced High Resolution Coronary MRIR00HL111410 · NHLBI · UNIVERSITY OF MINNESOTA · PI AKCAKAYA, MEHMET · 2015 to 2017
$746k
NCATS NIH HHS KL2 TR000113NCATS NIH HHS UL1 TR000114NHLBI NIH HHS K23 HL132011NHLBI NIH HHS R00 HL111410
6 · The paper itself

Abstract

objectivesThis study determined the long-term prognostic significance of GLS assessed using CMR-FT in a large cohort of heart transplant recipients.

backgroundIn heart transplant recipients, global longitudinal strain (GLS) assessed using echocardiography has shown promise in the prediction of clinical outcomes. We hypothesized that CMR feature tracking (CMR-FT) GLS is independently associated with long-term outcomes in heart transplant recipients.

methodsIn a cohort of consecutive heart transplant recipients who underwent routine CMR for clinical surveillance, CMR-FT GLS was calculated from 3 long-axis cine CMR images. Associations between GLS and a composite endpoint of death or major adverse cardiac events (MACE), including retransplantation, nonfatal myocardial infarction, coronary revascularization, and heart failure hospitalization, were investigated.

resultsA total of 152 heart transplant recipients (age 54 ± 15 years; 29% women; 5.0 ± 5.4 years after heart transplantation) were included. The median GLS was -11.6% (interquartile range: -13.6% to -9.2%). Over a median follow-up of 2.6 years, 59 recipients reached the composite endpoint. On Kaplan-Meier analyses, recipients with GLS worse than the median had a higher estimated cumulative incidence of the composite endpoint compared with recipients with GLS better than the median (log rank p = 0.004). On multivariate Cox proportional hazards regression, GLS was independently associated with the composite endpoint after adjustment for cardiac allograft vasculopathy, history of rejection, left ventricular ejection fraction (LVEF), right ventricular EF, and presence of myocardial fibrosis, with a hazard ratio of 1.15 for every 1% worsening in GLS (95% confidence interval: 1.06 to 1.24; p < 0.001). Similar results were seen in subgroups of recipients with LVEF >50% and with no myocardial fibrosis. GLS provided incremental prognostic value over other variables in the multivariate model as determined by the log-likelihood chi-squared test.

conclusionsIn a large cohort of heart transplant recipients, CMR-FT GLS was independently associated with the long-term risk of death or MACE.

Indexed as

Heart TransplantationVentricular Function, LeftAdultAgedFemaleHumansMagnetic Resonance Imaging, CineMagnetic Resonance SpectroscopyMaleMiddle AgedPredictive Value of TestsPrognosisStroke Volumecardiac magnetic resonanceheart transplantationprognosisstrain

Identifiers

PMID32563650
PMCPMC8423146

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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.