Abstract

The two most common modes of death among chronic heart failure (CHF) patients are sudden cardiac death (SCD) and pump failure death (PFD). Periodic repolarization dynamics (PRD) quantifies low-frequency oscillations in the T wave vector of the electrocardiogram (ECG) and has been postulated to reflect sympathetic modulation of ventricular repolarization. This study aims to evaluate the prognostic value of PRD to predict SCD and PFD in a population of CHF patients. 20-min high-resolution (1000 Hz) ECG recordings from 569 CHF patients were analyzed. Patients were divided into two groups, PRD+ and PRD-, corresponding to PRD values above and below the optimum cutoff point of PRD in the study population. Univariate Cox regression analysis showed that SCD risk in the PRD+ group was double the risk in the PRD- group [hazard ratio (95% CI) 2.001 (1.127–3.554), p<0.05]. The combination of PRD with other Holter-based ECG indices, such as turbulence slope (TS) and index of average alternans (IAA), improved SCD prediction by identifying groups of patients at high SCD risk. PFD could be predicted by PRD only when combined with TS [hazard ratio 2.758 (1.572–4.838), p<0.001]. In conclusion, the combination of PRD with IAA and TS can be used to stratify the risk for SCD and PFD, respectively, in CHF patients.

Details

Title
Periodic repolarization dynamics as predictor of risk for sudden cardiac death in chronic heart failure patients
Author
Palacios Saúl 1 ; Cygankiewicz Iwona 2 ; Bayés de Luna Antoni 3 ; Pueyo, Esther 4 ; Martínez, Juan Pablo 4 

 Universidad de Zaragoza, BSICoS Group, Aragón Institute of Engineering Research, IIS Aragón, Zaragoza, Spain (GRID:grid.11205.37) (ISNI:0000 0001 2152 8769) 
 Medical University of Lodz, Department of Electrocardiology, Lodz, Poland (GRID:grid.8267.b) (ISNI:0000 0001 2165 3025) 
 Cardiovascular Research Foundation, Cardiovascular ICCC-Program, Research Institute Hospital de la Santa Creu i Sant Pau, IIB-Sant Pau, Barcelona, Spain (GRID:grid.413396.a) (ISNI:0000 0004 1768 8905) 
 Universidad de Zaragoza, BSICoS Group, Aragón Institute of Engineering Research, IIS Aragón, Zaragoza, Spain (GRID:grid.11205.37) (ISNI:0000 0001 2152 8769); CIBER en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Zaragoza, Spain (GRID:grid.429738.3) (ISNI:0000 0004 1763 291X) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2582275984
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.