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Prognostic utility of diastolic dysfunction and speckle tracking echocardiography in heart failure with reduced ejection fraction
AIMS: We 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 RESULTS: We enrolled ambulatory HFrEF (...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7083408/ https://www.ncbi.nlm.nih.gov/pubmed/31814331 http://dx.doi.org/10.1002/ehf2.12532 |
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author | Hansen, Sune Brainin, Philip Sengeløv, Morten Jørgensen, Peter Godsk Bruun, Niels Eske Olsen, Flemming Javier Fritz‐Hansen, Thomas Schou, Morten Gislason, Gunnar Biering‐Sørensen, Tor |
author_facet | Hansen, Sune Brainin, Philip Sengeløv, Morten Jørgensen, Peter Godsk Bruun, Niels Eske Olsen, Flemming Javier Fritz‐Hansen, Thomas Schou, Morten Gislason, Gunnar Biering‐Sørensen, Tor |
author_sort | Hansen, Sune |
collection | PubMed |
description | AIMS: We 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 RESULTS: We 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). CONCLUSIONS: Evaluation 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. |
format | Online Article Text |
id | pubmed-7083408 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-70834082020-03-24 Prognostic utility of diastolic dysfunction and speckle tracking echocardiography in heart failure with reduced ejection fraction Hansen, Sune Brainin, Philip Sengeløv, Morten Jørgensen, Peter Godsk Bruun, Niels Eske Olsen, Flemming Javier Fritz‐Hansen, Thomas Schou, Morten Gislason, Gunnar Biering‐Sørensen, Tor ESC Heart Fail Original Research Articles AIMS: We 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 RESULTS: We 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). CONCLUSIONS: Evaluation 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. John Wiley and Sons Inc. 2019-12-09 /pmc/articles/PMC7083408/ /pubmed/31814331 http://dx.doi.org/10.1002/ehf2.12532 Text en © 2019 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of the European Society of Cardiology This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Original Research Articles Hansen, Sune Brainin, Philip Sengeløv, Morten Jørgensen, Peter Godsk Bruun, Niels Eske Olsen, Flemming Javier Fritz‐Hansen, Thomas Schou, Morten Gislason, Gunnar Biering‐Sørensen, Tor Prognostic utility of diastolic dysfunction and speckle tracking echocardiography in heart failure with reduced ejection fraction |
title | Prognostic utility of diastolic dysfunction and speckle tracking echocardiography in heart failure with reduced ejection fraction |
title_full | Prognostic utility of diastolic dysfunction and speckle tracking echocardiography in heart failure with reduced ejection fraction |
title_fullStr | Prognostic utility of diastolic dysfunction and speckle tracking echocardiography in heart failure with reduced ejection fraction |
title_full_unstemmed | Prognostic utility of diastolic dysfunction and speckle tracking echocardiography in heart failure with reduced ejection fraction |
title_short | Prognostic utility of diastolic dysfunction and speckle tracking echocardiography in heart failure with reduced ejection fraction |
title_sort | prognostic utility of diastolic dysfunction and speckle tracking echocardiography in heart failure with reduced ejection fraction |
topic | Original Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7083408/ https://www.ncbi.nlm.nih.gov/pubmed/31814331 http://dx.doi.org/10.1002/ehf2.12532 |
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