Evidence map›Paper›PMID 34059976›Full record

ArticleThe international journal of cardiovascular imaging2021

Change in global longitudinal strain following acute coronary syndrome and subsequent risk of heart failure.

Kirstine Ravnkilde, Kristoffer Grundtvig Skaarup, Gabriela Lladó Grove, Daniel Modin, Anne Bjerg Nielsen, Mathilde Musoni Falsing, Allan Zeeberg Iversen, Sune Pedersen, Thomas Fritz-Hansen, Søren Galatius and 4 more

Abstract read
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In one paragraph

Article in The international journal of cardiovascular imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

14 authors.

Kirstine RavnkildeCardiovascular Non-Invasive Imaging Research Laboratory, Department of Cardiology, Herlev and Gentofte University Hospital, Copenhagen, Denmark. kirstine.ravnkilde@gmail.com.ORCID http://orcid.org/0000-0002-8504-8630
Kristoffer Grundtvig SkaarupCardiovascular Non-Invasive Imaging Research Laboratory, Department of Cardiology, Herlev and Gentofte University Hospital, Copenhagen, Denmark.
Gabriela Lladó GroveCardiovascular Non-Invasive Imaging Research Laboratory, Department of Cardiology, Herlev and Gentofte University Hospital, Copenhagen, Denmark.
Daniel ModinCardiovascular Non-Invasive Imaging Research Laboratory, Department of Cardiology, Herlev and Gentofte University Hospital, Copenhagen, Denmark.
Anne Bjerg NielsenCardiovascular Non-Invasive Imaging Research Laboratory, Department of Cardiology, Herlev and Gentofte University Hospital, Copenhagen, Denmark.
Mathilde Musoni FalsingCardiovascular Non-Invasive Imaging Research Laboratory, Department of Cardiology, Herlev and Gentofte University Hospital, Copenhagen, Denmark.
Allan Zeeberg IversenCardiovascular Non-Invasive Imaging Research Laboratory, Department of Cardiology, Herlev and Gentofte University Hospital, Copenhagen, Denmark.
Sune PedersenCardiovascular Non-Invasive Imaging Research Laboratory, Department of Cardiology, Herlev and Gentofte University Hospital, Copenhagen, Denmark.
Thomas Fritz-HansenCardiovascular Non-Invasive Imaging Research Laboratory, Department of Cardiology, Herlev and Gentofte University Hospital, Copenhagen, Denmark.
Søren GalatiusDepartment of Cardiology, University Hospital Bispebjerg and Frederiksberg, Copenhagen, Denmark.
Thomas JespersenDepartment of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Amil ShahCardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Gunnar GislasonCardiovascular Non-Invasive Imaging Research Laboratory, Department of Cardiology, Herlev and Gentofte University Hospital, Copenhagen, Denmark.
Tor Biering-SørensenCardiovascular Non-Invasive Imaging Research Laboratory, Department of Cardiology, Herlev and Gentofte University Hospital, Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Global Longitudinal Strain (GLS) is a well-established predictor of heart failure (HF) following acute coronary syndrome (ACS). We aim to investigate the prognostic value of GLS obtained at a follow-up consultation, as well as the change in GLS for long-term risk of incident HF. A total of 235 ACS patients had an echocardiogram performed immediately after percutaneous coronary intervention (PCI) and a follow-up echocardiogram (FUE) median 215 (IQR: 71; 878) days after the first echocardiogram. Endpoint was incident HF. Follow-up time after FUE was median 4.8 (IQR: 3.7; 5.6) years. Patients diagnosed with HF before FUE were excluded. Mean age was 63 ± 11 years and 77% were male. Baseline GLS was on average 12.7 ± 3.9%, FUE GLS was on average 13.5 ± 3.9% and mean improvement in GLS was 0.73 ± 3.68% between the 2 echocardiograms. A total of 57 (24%) patients suffered incident HF following the FUE. FUE GLS provided significantly higher prognostic information for risk of incident HF than ∆GLS when assessed by the C-statistics (C-statistics: 0.71 vs. 0.61, P = 0.021). Furthermore, after multivariable adjustments only FUE GLS [HR = 1.15, 95% CI (1.02; 1.29), P = 0.018, per 1% decrease] remained an independent predictor of incident HF. In patients with ACS, who do not develop HF before FUE, FUE GLS was an independent predictor of long-term risk of incident HF while ∆GLS was not.

Indexed as

Acute Coronary SyndromeHeart FailurePercutaneous Coronary InterventionAgedEchocardiographyHumansMaleMiddle AgedPredictive Value of TestsRisk FactorsStroke VolumeVentricular Function, LeftAcute coronary syndromeEchocardiographyGlobal longitudinal strainHeart failure

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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.