Evidence map›Paper›PMID 31814331›Full record

ArticleESC heart failure2020

Prognostic utility of diastolic dysfunction and speckle tracking echocardiography in heart failure with reduced ejection fraction.

Sune Hansen, Philip Brainin, Morten Sengeløv, Peter Godsk Jørgensen, Niels Eske Bruun, Flemming Javier Olsen, Thomas Fritz-Hansen, Morten Schou, Gunnar Gislason, Tor Biering-Sørensen

Abstract read
In one paragraph

Article in ESC heart failure, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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4 · The record

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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.

Sune HansenDepartment of Cardiology, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark.
Philip BraininDepartment of Cardiology, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark.
Morten SengeløvDepartment of Cardiology, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark.
Peter Godsk JørgensenDepartment of Cardiology, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark.
Niels Eske BruunDepartment of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Flemming Javier OlsenDepartment of Cardiology, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark.
Thomas Fritz-HansenDepartment of Cardiology, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark.
Morten SchouDepartment of Cardiology, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark.
Gunnar GislasonDepartment of Cardiology, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark.
Tor Biering-SørensenDepartment of Cardiology, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark.

Funding

none
6 · The paper itself

Abstract

aimsWe hypothesized that grading of diastolic dysfunction (DDF) according to two DDF grading algorithms and strain imaging yields prognostic information on all-cause mortality in patients with heart failure with reduced ejection fraction (HFrEF). METHODS AND

resultsWe enrolled ambulatory HFrEF (left ventricular ejection fraction < 45%; N = 1 065) patients who underwent echocardiography and speckle tracking assessment of global longitudinal strain (GLS). Patients were stratified according to DDF grades (Grades I-III) according to two contemporary DDF grading algorithms. Prognostic performance was assessed by C-statistics. Of the originally 1 065 enrolled patients, a total of 645 (61%) patients (age: 67 ± 11 years, male: 72%, ejection fraction: 27 ± 9%) were classified according to both DDF grading algorithms. Concordance between the algorithms was moderate (kappa = 0.48) and the reclassification rate was 33%. During a median follow-up of 3.3 years (1.9, 4.7 years), 101 (16%) died from all causes. When comparing DDF Grade I vs. Grade III, both algorithms provided prognostic information [Nagueh: (hazard ratio) HR 2.09, 95% confidence interval (CI),1.32-3.31, P = 0.002; Johansen: HR 2.47, 95% CI, 1.57-3.87, P < 0.001]. However, when comparing DDF Grade II vs. Grade III, only the Johansen algorithm yielded prognostic information (Nagueh: HR 1.04, 95% CI, 0.60-1.77, P = 0.90; Johansen: HR 2.26, 95% CI, 1.35-3.77, P = 0.002). We found no difference in prognostic performance between the two algorithms (C-statistics: 0.604 vs. 0.623, P = 0.24). Assessed by C-statistics, the most powerful predictors of the endpoint from the two algorithms were E/e'-ratio (C-statistics: 0.644), tricuspid regurgitation velocity (C-statistics: 0.625) and E/A-ratio (C-statistics: 0.602). When adding GLS to a combination of these predictors, the prognostic performance increased significantly (C-statistics: 0.705 vs. C-statistics: 0.634, P = 0.028).

conclusionsEvaluation of DDF in patients with HFrEF yields prognostic information on all-cause mortality. Furthermore, adding GLS to contemporary algorithms of DDF adds novel prognostic information.

Indexed as

CardiomyopathiesDiabetes Mellitus, Type 2EchocardiographyHeart FailureAgedFemaleHumansMaleMiddle AgedPrognosisStroke VolumeVentricular Function, LeftDiastolic dysfunctionPrognosisSpeckle tracking

Identifiers

PMID31814331
PMCPMC7083408

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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.