Speckle-tracking echocardiography in comparison with ejection fraction for prediction of cardiovascular mortality in patients with end-stage renal disease
Clinical Kidney Journal, vol. 14, pp. 1579–1585
Abstract
Abstract 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 (χ2 = 28.34, P ≤ 0.0001, R2 = 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.
Authors 9
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Affiliation as printed
Division of Nephrology and Clinical Immunology, Medical Faculty RWTH Aachen University, Aachen, Germany
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Leiden University Medical Center
Affiliation as printed
Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
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Affiliation as printed
Division of Nephrology and Clinical Immunology, Medical Faculty RWTH Aachen University, Aachen, Germany
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Affiliation as printed
Division of Nephrology and Clinical Immunology, Medical Faculty RWTH Aachen University, Aachen, Germany
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Leiden University Medical Center
Affiliation as printed
Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
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Affiliation as printed
Department of Cardiology, Medical Faculty RWTH Aachen University, Aachen, Germany
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Affiliation as printed
Division of Nephrology and Clinical Immunology, Medical Faculty RWTH Aachen University, Aachen, Germany
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Affiliation as printed
Department of Cardiology, Medical Faculty RWTH Aachen University, Aachen, Germany
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Affiliation as printed
Center for Nephrology, Hypertension, and Metabolic Diseases, Hannover, Germany
Division of Nephrology and Clinical Immunology, Medical Faculty RWTH Aachen University, Aachen, Germany
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