Wdowczyk Joanna, Makowiec Danuta, Dorniak Karolina, Gruchała Marcin
1st Chair and Clinic of Cardiology, Medical University of Gdańsk Gdańsk, Poland.
Institute of Theoretical Physics and Astrophysics, University of Gdańsk Gdańsk, Poland.
Front Physiol. 2016 Mar 7;7:79. doi: 10.3389/fphys.2016.00079. eCollection 2016.
We present a heart transplant patient at his 17th year of uncomplicated follow-up. Within a frame of routine check out several tests were performed. With such a long and uneventful follow-up some degree of graft reinnervation could be anticipated. However, the patient's electrocardiogram and exercise parameters seemed largely inconclusive in this regard. The exercise heart rate dynamics were suggestive of only mild, if any parasympathetic reinnervation of the graft with persisting sympathetic activation. On the other hand, traditional heart rate variability (HRV) indices were inadequately high, due to erratic rhythm resulting from interference of the persisting recipient sinus node or non-conducted atrial parasystole. New tools, originated from network representation of time series, by visualization short-term dynamical patterns, provided a method to discern HRV increase due to reinnervation from other reasons.
我们介绍一位心脏移植患者，其已进行了17年的无并发症随访。在常规检查过程中进行了多项测试。鉴于如此漫长且无异常的随访情况，可以预期会有一定程度的移植物再神经支配。然而，就这方面而言，患者的心电图和运动参数似乎大多无法得出结论。运动心率动态变化仅表明移植物存在轻微的副交感神经再支配（即便有也很轻微），同时交感神经持续激活。另一方面，由于持续存在的受者窦房结干扰或未传导的房性并行心律导致心律不齐，传统的心率变异性（HRV）指标并未充分升高。源自时间序列网络表示的新工具，通过可视化短期动态模式，提供了一种方法，可辨别因再神经支配导致的HRV增加与其他原因导致的增加。
