Clinical correlates of non-linear indices of heart rate variability in chronic heart failure patients

Roberto Maestri, Gian Domenico Pinna, Rita Balocchi, Gianni D'Addio, Manuela Ferrario, Alberto Porta, Roberto Sassi, Maria Gabriella Signorini, Maria Teresa La Rovere

Research output: Contribution to journalArticlepeer-review

Abstract

We assessed the clinical correlates of a comprehensive set of non-linear heart rate variability (HRV) indices computed from 24-h Holter recordings for 200 stable chronic heart failure (CHF) patients [median age (lower quartile, upper quartile) 54 (47, 58) years, LVEF 23% (19%, 28%)]. A total of 19 non-linear indices belonging to six major families, namely symbolic dynamics, entropy, empirical mode decomposition, fractality-multifractality, unpredictability and Poincaré plots, were considered. Most indices showed a significant association with ejection fraction and with the severity of symptoms, while only two (one each from the fractality and Poincaré plot families) showed an association with aetiology. Only one symbolic dynamics variable was associated with the presence of non-sustained ventricular tachycardia and two symbolic dynamics variables were associated with the rate of ventricular ectopic events. Our results demonstrate the existence of selective links between non-linear indexes of HRV and the clinical status and functional impairment of CHF patients. This indicates that further studies should be designed to investigate the physiopathological mechanisms involved in such links.

Original languageEnglish
Pages (from-to)220-223
Number of pages4
JournalBiomedizinische Technik
Volume51
Issue number4
DOIs
Publication statusPublished - Oct 1 2006

Keywords

  • Chronic heart failure
  • Heart rate variability
  • Non-linear dynamics

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics

Fingerprint

Dive into the research topics of 'Clinical correlates of non-linear indices of heart rate variability in chronic heart failure patients'. Together they form a unique fingerprint.

Cite this