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Speckle-tracking echocardiography in comparison with ejection fraction for prediction of cardiovascular mortality in patients with end-stage renal disease

BACKGROUND: Cardiovascular disease is the major cause of death in end-stage renal disease (ESRD). To develop better means to assess cardiovascular risk in these patients, we compared conventional echocardiography-derived left ventricular ejection fraction (EF) with the novel method of 2D speckle-tra...

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Autores principales: Terhuerne, Janna, van Diepen, Merel, Kramann, Rafael, Erpenbeck, Johanna, Dekker, Friedo, Marx, Nikolaus, Floege, Jürgen, Becker, Michael, Schlieper, Georg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8280917/
https://www.ncbi.nlm.nih.gov/pubmed/34276976
http://dx.doi.org/10.1093/ckj/sfaa161
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author Terhuerne, Janna
van Diepen, Merel
Kramann, Rafael
Erpenbeck, Johanna
Dekker, Friedo
Marx, Nikolaus
Floege, Jürgen
Becker, Michael
Schlieper, Georg
author_facet Terhuerne, Janna
van Diepen, Merel
Kramann, Rafael
Erpenbeck, Johanna
Dekker, Friedo
Marx, Nikolaus
Floege, Jürgen
Becker, Michael
Schlieper, Georg
author_sort Terhuerne, Janna
collection PubMed
description BACKGROUND: Cardiovascular disease is the major cause of death in end-stage renal disease (ESRD). To develop better means to assess cardiovascular risk in these patients, we compared conventional echocardiography-derived left ventricular ejection fraction (EF) with the novel method of 2D speckle-tracking echocardiography to determine cardiac strain. METHODS: Predictive performances of conventional EF and speckle-tracking echocardiography-derived global longitudinal strain (GLS) were compared using receiver-operator curve (ROC) analyses and calibration by calibration plots. We also took into account other known cardiovascular risk factors through multivariable logistic regression analysis. RESULTS: The study comprised 171 ESRD patients (mean age 64 years, 64% male) on maintenance dialysis therapy (93% haemodialysis, 7% peritoneal dialysis) for an average period of 39 months. During 2.1 years of follow-up, 42 patients (25%) died from cardiovascular disease. ROC analysis of GLS resulted in an area under the curve of 0.700 [95% confidence interval (CI) 0.603–0.797] compared with an area under the curve of EF of 0.615 (95% CI 0.514–0.716) (P = 0.059 for difference). The total absolute deviation between predicted and observed outcome frequencies obtained by calibration plots were 13.8% for EF compared with only 6.4% for GLS. Best results of ROC analysis (area under the curve = 0.759; P = 0.06), calibration and goodness-of-fit (χ(2) = 28.34, P ≤ 0.0001, R(2) = 0.25) were achieved for GLS added to a baseline model consisting of known cardiovascular risk factors in a multivariate regression analysis. CONCLUSIONS: In summary, in chronic dialysis patients, GLS is a more precise predictor of cardiovascular mortality than conventional echocardiography-derived EF.
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spelling pubmed-82809172021-07-16 Speckle-tracking echocardiography in comparison with ejection fraction for prediction of cardiovascular mortality in patients with end-stage renal disease Terhuerne, Janna van Diepen, Merel Kramann, Rafael Erpenbeck, Johanna Dekker, Friedo Marx, Nikolaus Floege, Jürgen Becker, Michael Schlieper, Georg Clin Kidney J Original Articles BACKGROUND: Cardiovascular disease is the major cause of death in end-stage renal disease (ESRD). To develop better means to assess cardiovascular risk in these patients, we compared conventional echocardiography-derived left ventricular ejection fraction (EF) with the novel method of 2D speckle-tracking echocardiography to determine cardiac strain. METHODS: Predictive performances of conventional EF and speckle-tracking echocardiography-derived global longitudinal strain (GLS) were compared using receiver-operator curve (ROC) analyses and calibration by calibration plots. We also took into account other known cardiovascular risk factors through multivariable logistic regression analysis. RESULTS: The study comprised 171 ESRD patients (mean age 64 years, 64% male) on maintenance dialysis therapy (93% haemodialysis, 7% peritoneal dialysis) for an average period of 39 months. During 2.1 years of follow-up, 42 patients (25%) died from cardiovascular disease. ROC analysis of GLS resulted in an area under the curve of 0.700 [95% confidence interval (CI) 0.603–0.797] compared with an area under the curve of EF of 0.615 (95% CI 0.514–0.716) (P = 0.059 for difference). The total absolute deviation between predicted and observed outcome frequencies obtained by calibration plots were 13.8% for EF compared with only 6.4% for GLS. Best results of ROC analysis (area under the curve = 0.759; P = 0.06), calibration and goodness-of-fit (χ(2) = 28.34, P ≤ 0.0001, R(2) = 0.25) were achieved for GLS added to a baseline model consisting of known cardiovascular risk factors in a multivariate regression analysis. CONCLUSIONS: In summary, in chronic dialysis patients, GLS is a more precise predictor of cardiovascular mortality than conventional echocardiography-derived EF. Oxford University Press 2021-01-19 /pmc/articles/PMC8280917/ /pubmed/34276976 http://dx.doi.org/10.1093/ckj/sfaa161 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of ERA-EDTA. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Terhuerne, Janna
van Diepen, Merel
Kramann, Rafael
Erpenbeck, Johanna
Dekker, Friedo
Marx, Nikolaus
Floege, Jürgen
Becker, Michael
Schlieper, Georg
Speckle-tracking echocardiography in comparison with ejection fraction for prediction of cardiovascular mortality in patients with end-stage renal disease
title Speckle-tracking echocardiography in comparison with ejection fraction for prediction of cardiovascular mortality in patients with end-stage renal disease
title_full Speckle-tracking echocardiography in comparison with ejection fraction for prediction of cardiovascular mortality in patients with end-stage renal disease
title_fullStr Speckle-tracking echocardiography in comparison with ejection fraction for prediction of cardiovascular mortality in patients with end-stage renal disease
title_full_unstemmed Speckle-tracking echocardiography in comparison with ejection fraction for prediction of cardiovascular mortality in patients with end-stage renal disease
title_short Speckle-tracking echocardiography in comparison with ejection fraction for prediction of cardiovascular mortality in patients with end-stage renal disease
title_sort speckle-tracking echocardiography in comparison with ejection fraction for prediction of cardiovascular mortality in patients with end-stage renal disease
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8280917/
https://www.ncbi.nlm.nih.gov/pubmed/34276976
http://dx.doi.org/10.1093/ckj/sfaa161
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