Hiroshi Kawakami1, Nitesh Nerlekar1, Kristina H Haugaa2, Thor Edvardsen2, Thomas H Marwick3. 1. Baker Heart and Diabetes Institute, Melbourne, Australia. 2. Centre of Cardiological Innovation, Department of Cardiology, Oslo University Hospital, Oslo, Norway. 3. Baker Heart and Diabetes Institute, Melbourne, Australia. Electronic address: tom.marwick@baker.edu.au.
Abstract
OBJECTIVES: The aim of this study was to assess the association between left ventricular mechanical dispersion (LVMD) and the incidence of ventricular arrhythmias (VAs). BACKGROUND: Recent, mainly single-center, studies have demonstrated that LVMD assessed using speckle tracking might be a powerful marker in risk stratification for VA. A systematic review and meta-analysis provides a means of understanding the prognostic value of this parameter, relative to other parameters, the most appropriate cutoff for designating risk. METHODS: A systemic review of studies reporting the predictive value of LVMD for VA was undertaken from a search of MEDLINE and Embase. VA events were defined as sudden cardiac death, cardiac arrest, documented ventricular tachyarrhythmia, and appropriate implantable cardioverter-defibrillator (ICD) therapy. Hazard ratios were extracted from univariate and multivariate models reporting on the association of LVMD and VA and described as pooled estimates with 95% confidence intervals. In a meta-analysis, the predictive value of LVMD was compared with that of left ventricular ejection fraction and global longitudinal strain. RESULTS: Among 3,198 patients in 12 published studies, 387 (12%) had VA events over follow-up ranging from 17 to 70 months. Patients with VAs had greater LVMD than those without (weighted mean difference -20.3 ms; 95% confidence interval: -27.3 to -13.2; p < 0.01). Each 10 ms increment of LVMD was significantly and independently associated with VA events (hazard ratio: 1.19; 95% confidence interval: 1.09 to 1.29; p < 0.01). The predictive value of LVMD was superior to that of left ventricular ejection fraction or global longitudinal strain. CONCLUSIONS: LVMD assessed using speckle tracking provides important predictive value for VA in patients with a number of cardiac diseases and appears to have superior predictive value over left ventricular ejection fraction and global longitudinal strain for risk stratification.
OBJECTIVES: The aim of this study was to assess the association between left ventricular mechanical dispersion (LVMD) and the incidence of ventricular arrhythmias (VAs). BACKGROUND: Recent, mainly single-center, studies have demonstrated that LVMD assessed using speckle tracking might be a powerful marker in risk stratification for VA. A systematic review and meta-analysis provides a means of understanding the prognostic value of this parameter, relative to other parameters, the most appropriate cutoff for designating risk. METHODS: A systemic review of studies reporting the predictive value of LVMD for VA was undertaken from a search of MEDLINE and Embase. VA events were defined as sudden cardiac death, cardiac arrest, documented ventricular tachyarrhythmia, and appropriate implantable cardioverter-defibrillator (ICD) therapy. Hazard ratios were extracted from univariate and multivariate models reporting on the association of LVMD and VA and described as pooled estimates with 95% confidence intervals. In a meta-analysis, the predictive value of LVMD was compared with that of left ventricular ejection fraction and global longitudinal strain. RESULTS: Among 3,198 patients in 12 published studies, 387 (12%) had VA events over follow-up ranging from 17 to 70 months. Patients with VAs had greater LVMD than those without (weighted mean difference -20.3 ms; 95% confidence interval: -27.3 to -13.2; p < 0.01). Each 10 ms increment of LVMD was significantly and independently associated with VA events (hazard ratio: 1.19; 95% confidence interval: 1.09 to 1.29; p < 0.01). The predictive value of LVMD was superior to that of left ventricular ejection fraction or global longitudinal strain. CONCLUSIONS: LVMD assessed using speckle tracking provides important predictive value for VA in patients with a number of cardiac diseases and appears to have superior predictive value over left ventricular ejection fraction and global longitudinal strain for risk stratification.
Authors: Daniel Lavall; Linn Kristin Kuprat; Joscha Kandels; Stephan Stöbe; Andreas Hagendorff; Ulrich Laufs Journal: Int J Cardiovasc Imaging Date: 2020-01-13 Impact factor: 2.357
Authors: Daniel Overhoff; Uzair Ansari; Anna Hohneck; Erol Tülümen; Boris Rudic; Jürgen Kuschyk; Dirk Lossnitzer; Stefan Baumann; Matthias F Froelich; Stephan Waldeck; Ibrahim Akin; Martin Borggrefe; Stefan O Schoenberg; Theano Papavassiliu Journal: ESC Heart Fail Date: 2021-11-24
Authors: Diana M Frodi; Maarten Z H Kolk; Joss Langford; Tariq O Andersen; Reinoud E Knops; Hanno L Tan; Jesper H Svendsen; Fleur V Y Tjong; Soeren Z Diederichsen Journal: Cardiovasc Digit Health J Date: 2021-10-13
Authors: Remy Merkx; Jan M Leerink; Elisabeth Lieke A M Feijen; Leontien C M Kremer; Esmée C de Baat; Louise Bellersen; Elvira C van Dalen; Eline van Dulmen-den Broeder; Margriet van der Heiden-van der Loo; Marry M van den Heuvel-Eibrink; Chris L de Korte; Jacqueline Loonen; Marloes Louwerens; Angela H E M Maas; Yigal M Pinto; Cécile M Ronckers; Arco J Teske; Wim J E Tissing; Andrica C H de Vries; Annelies M C Mavinkurve-Groothuis; Helena J H van der Pal; Gert Weijers; Wouter E M Kok; Livia Kapusta Journal: Echocardiography Date: 2021-05-20 Impact factor: 1.724