Key result
GLS outperforms LVEF for predicting cardiovascular mortality in maintenance dialysis patients.
Why the study?
Cardiovascular disease is the major cause of death in ESRD, prompting the need for better methods to assess cardiovascular risk in these patients.
Does 2D speckle-tracking echocardiography-derived global longitudinal strain (GLS) improve prediction of cardiovascular mortality compared to conventional left ventricular ejection fraction (EF) in patients with end-stage renal disease on maintenance dialysis?
Cohort (n=171)
No
Does 2D speckle-tracking echocardiography-derived global longitudinal strain (GLS) improve prediction of cardiovascular mortality compared to conventional left ventricular ejection fraction (EF) in patients with end-stage renal disease on maintenance dialysis?
In chronic dialysis patients, 2D speckle-tracking global longitudinal strain provides superior discrimination, calibration, and model goodness-of-fit compared with conventional left ventricular ejection fraction for predicting cardiovascular mortality.
May support GLS over EF for CV mortality prediction in dialysis patients; leaves open prospective validation before clinical adoption.
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.
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Terhuerne et al. (2021) conducted a cohort in End-stage renal disease on maintenance dialysis (n=171). 2D speckle-tracking echocardiography-derived global longitudinal strain (GLS) vs. Conventional echocardiography-derived left ventricular ejection fraction (EF) was evaluated on Cardiovascular death (death attributed to myocardial infarction, cardiogenic shock, stroke, or sudden cardiac death in patients with known cardiovascular disease and without cancer) (AUC 0.700 vs 0.615, 95% CI 0.603-0.797, p=0.059). Speckle-tracking global longitudinal strain predicted cardiovascular mortality better than conventional ejection fraction (AUC 0.700 vs 0.615, P=0.059) in maintenance dialysis patients.
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