BACKGROUND: Patients with advanced chronic kidney disease (CKD) have high risk for sudden cardiac death (SCD) and may benefit from implantable cardioverter-defibrillators (ICDs). However, the risk for ICD-related complications is also high in this population. Therefore, there is an unmet need for accurate risk stratification tools to identify patients with CKD at risk for ventricular arrhythmias (VAs), who may benefit from ICD implantation. The aim of this hypothesis-generating study was to investigate the association between left ventricular (LV) mechanical dispersion and LV global longitudinal strain (GLS) measured using two-dimensional speckle-tracking echocardiography and VA and SCD in patients with CKD. METHODS: Patients with CKD stages 3b to 5 (estimated glomerular filtration rate < 45 mL/min/1.73 m2 or on dialysis) were included and were divided into two groups according to the occurrence of VA or SCD during follow-up. LV mechanical dispersion, as a measure of the temporal heterogeneity of the LV deformation, was measured as the SD of time to peak longitudinal strain of 17 LV segments. The ability of LV mechanical dispersion, LV ejection fraction, and LV GLS to discriminate patients with VA or SCD during follow-up was evaluated using receiver operating characteristic curve analysis. RESULTS: Of 250 patients (66% men; mean age, 61 ± 14 years), 16 (6%) experienced VA or SCD during a median follow-up duration of 28 months (interquartile range, 16-53 months). Using receiver operating characteristic curve analyses, LV GLS (area under the curve = 0.79; 95% CI, 0.68-0.89) and LV mechanical dispersion (area under the curve = 0.71; 95% CI, 0.61-0.82) showed modest discrimination to identify patients at risk for VA or SCD. In contrast, LV ejection fraction showed poor discrimination (area under the curve = 0.60; 95% CI, 0.41-0.78). CONCLUSIONS: LV mechanical dispersion along with LV GLS may be an additional valuable risk marker of VA and SCD in predialysis and dialysis patients.
BACKGROUND:Patients with advanced chronic kidney disease (CKD) have high risk for sudden cardiac death (SCD) and may benefit from implantable cardioverter-defibrillators (ICDs). However, the risk for ICD-related complications is also high in this population. Therefore, there is an unmet need for accurate risk stratification tools to identify patients with CKD at risk for ventricular arrhythmias (VAs), who may benefit from ICD implantation. The aim of this hypothesis-generating study was to investigate the association between left ventricular (LV) mechanical dispersion and LV global longitudinal strain (GLS) measured using two-dimensional speckle-tracking echocardiography and VA and SCD in patients with CKD. METHODS:Patients with CKD stages 3b to 5 (estimated glomerular filtration rate < 45 mL/min/1.73 m2 or on dialysis) were included and were divided into two groups according to the occurrence of VA or SCD during follow-up. LV mechanical dispersion, as a measure of the temporal heterogeneity of the LV deformation, was measured as the SD of time to peak longitudinal strain of 17 LV segments. The ability of LV mechanical dispersion, LV ejection fraction, and LV GLS to discriminate patients with VA or SCD during follow-up was evaluated using receiver operating characteristic curve analysis. RESULTS: Of 250 patients (66% men; mean age, 61 ± 14 years), 16 (6%) experienced VA or SCD during a median follow-up duration of 28 months (interquartile range, 16-53 months). Using receiver operating characteristic curve analyses, LV GLS (area under the curve = 0.79; 95% CI, 0.68-0.89) and LV mechanical dispersion (area under the curve = 0.71; 95% CI, 0.61-0.82) showed modest discrimination to identify patients at risk for VA or SCD. In contrast, LV ejection fraction showed poor discrimination (area under the curve = 0.60; 95% CI, 0.41-0.78). CONCLUSIONS: LV mechanical dispersion along with LV GLS may be an additional valuable risk marker of VA and SCD in predialysis and dialysis patients.
Authors: Mathilde Musoni Falsing; Phillip Brainin; Ditte Madsen Andersen; Charlotte Ellen Larroudé; Tommi Bo Lindhart; Daniel Modin; Kirstine Ravnkilde; Emil Høegholm Karsum; Gunnar Gislason; Tor Biering-Sørensen Journal: Int J Cardiovasc Imaging Date: 2021-05-28 Impact factor: 2.357
Authors: Tam T Doan; Poyyapakkam Srivaths; Asela Liu; J Kevin Wilkes; Alexandra Idrovo; Ayse Akcan-Arikan; Sarah Swartz; Jessica Geer; Carolyn A Altman; Nancy A Ayres; Robert W Loar; Ricardo Pignatelli Journal: Int J Cardiovasc Imaging Date: 2021-07-21 Impact factor: 2.357
Authors: Sofia Skampardoni; Darren Green; Katerina Hnatkova; Marek Malik; Philip A Kalra; Dimitrios Poulikakos Journal: Front Physiol Date: 2019-02-25 Impact factor: 4.566