Author + information
- Received September 4, 2018
- Revision received December 16, 2018
- Accepted December 17, 2018
- Published online February 13, 2019.
- Federico Guerra, MDa,∗ (, )
- Alessandro Malagoli, MDb,
- Daniele Contadini, MDa,
- Erika Baiocco, MDa,
- Alessio Menditto, MDa,
- Paolo Bonelli, MDa,
- Luca Rossi, MDb,
- Concetta Sticozzi, MSb,
- Alessia Zanni, MSb,
- Jianwen Cai, PhDc,
- Poulami Maitra, PhDc,
- Giovanni Q. Villani, MDb and
- Alessandro Capucci, MDa
- aCardiology and Arrhythmology Clinic, Marche Polytechnic University, University Hospital Umberto I, Lancisi-Salesi, Ancona, Italy
- bDepartment of Cardiology, Guglielmo da Saliceto Hospital, Piacenza, Italy
- cDepartment of Biostatistics, University of North Carolina, Chapel Hill, North Carolina
- ↵∗Address for correspondence:
Dr. Federico Guerra, Cardiology and Arrhythmology Clinic, Marche Polytechnic University, University Hospital, Ospedali Riuniti, Via Conca 71, Ancona, Italy.
Objectives This study sought to assess speckle-tracking–derived parameters as predictors of first and subsequent ventricular events in patients with structural heart disease and implantable cardioverter-defibrillators (ICD).
Background Left ventricular ejection fraction (LVEF), the current primary parameter of risk stratification for ventricular arrhythmias (VAs) in structural heart diseases is burdened by many limitations.
Methods In this retrospective, observational study, all consecutive patients with structural heart disease were admitted for ICD implantation. Patients not followed by a home-monitoring system were excluded. Two-dimensional (2D) speckle-tracking analysis was used to derive global longitudinal strain (GLS), mechanical dispersion (MD), and delta contraction duration (DCD) of all patients at enrollment. Home monitoring was checked weekly to detect all VAs and ICD therapies. A recurrent event statistical approach (Prentice, Williams, and Peterson model) was applied to evaluate subsequent events after the first ones.
Results A total of 203 patients were consecutively enrolled and followed for a median of 2.2 years. Kaplan-Meier curves showed an increased risk of antitachycardia pacing or shock (log-rank p = 0.003) and VAs (log-rank p = 0.001) associated with lower quartiles of GLS. An impaired GLS was independently associated with an increased risk for the first ICD therapy (hazard ratio [HR]: 1.94; 95% confidence interval [CI]: 1.30 to 2.91; p = 0.001) and (HR: 1.42; 95% CI: 1.01 to 1.98; p = 0.04) for the first VA. GLS impairment was not significantly associated with an increased risk of recurrent ICD therapies or VAs. LVEF, MD, and DCD were not associated with an increased risk of first, second, and third ICD therapies or VA.
Conclusions Impaired GLS is associated with an increased risk of VAs and appropriate ICD therapies in a consecutive “real-world,” unselected population of remotely monitored patients with structural heart disease, although it does not seem reliable in predicting further arrhythmic events after the first one. MD and DCD do not predict first or subsequent arrhythmic events in ICD patients with structural heart disease.
- implantable cardioverter-defibrillator
- remote monitoring
- ventricular tachycardia
The authors have reported that they have no relationships relevant to the contents of this paper to disclose.
- Received September 4, 2018.
- Revision received December 16, 2018.
- Accepted December 17, 2018.
- 2019 American College of Cardiology Foundation
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