Dynamical landscape of heart rhythm in long-term heart transplant recipients: a way to discern erratic rhythms
Joanna Wdowczyk , Danuta Makowiec , Marcin Gruchała , Dorota Wejer , Zbigniew Struzik
AbstractIt is commonly believed that higher values of heart rate variability (HRV) indices account for better organization of the network of feedback reflexes driving an organism's response to actual bodily needs. In order to evaluate this organization in heart transplant (HTX) recipients, 58 nocturnal Holter signals of 14 HTX patients were analyzed. Their dynamical properties were evaluated by short-term HRV indices and measures grounded on entropy. Estimates grouped according to the patients' clinical progress: free of complications versus with complications, and arranged in order of the length of time since the HTX, lead us to the conclusion that higher HRV is associated with a worse outcome for HTX patients. Moreover, short-term HRV indices that are constant, rather than increasing over time, serve well in the prognosis of the future state of a HTX patient. These findings suggest that increases observed in HRV indices are related to erratic rhythms resulting from remodeling of the cardiac tissue (including heterogeneous innervation) in long-term HTX patients. Therefore, we hypothesize that dynamical landscape markers (entropy and fragmentation measures together with the short-term HRV indices) can serve as a tool in the exploration of the genesis of (non-respiratory sinus) arrhythmia.
|Journal series||Frontiers in Physiology, ISSN 1664-042X, (A 35 pkt)|
|Publication size in sheets||0.75|
|Keywords in English||heart rate variability, entropic measures, heart transplant patients, erratic rhythm, heart rate fragmentation, autonomic nervous system|
|License||Journal (articles only); published final; ; with publication|
|Score||= 35.0, 05-02-2020, ArticleFromJournal|
|Publication indicators||: 2018 = 0.986; : 2018 = 3.201 (2) - 2018=3.921 (5)|
|Citation count*||6 (2020-03-22)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.