Yeragani Vikram Kumar, Rao K A Radhakrishna
Department of Psychiatry, Wayne State University School of Medicine, Detroit, MI, USA.
Psychiatry Res. 2003 Feb 15;117(2):177-90. doi: 10.1016/s0165-1781(02)00319-0.
In this study, we investigated nonlinear measures of chaos of QT interval time series in 28 normal control subjects, 36 patients with panic disorder and 18 patients with major depression in supine and standing postures. We obtained the minimum embedding dimension (MED) and the largest Lyapunov exponent (LLE) of instantaneous heart rate (HR) and QT interval series. MED quantifies the system's complexity and LLE predictability. There was a significantly lower MED and a significantly increased LLE of QT interval time series in patients. Most importantly, nonlinear indices of QT/HR time series, MEDqthr (MED of QT/HR) and LLEqthr (LLE of QT/HR), were highly significantly different between controls and both patient groups in either posture. Results remained the same even after adjusting for age. The increased LLE of QT interval time series in patients with anxiety and depression is in line with our previous findings of higher QTvi (QT variability index, a log ratio of QT variability corrected for mean QT squared divided by heart rate variability corrected for mean heart rate squared) in these patients, using linear techniques. Increased LLEqthr (LLE of QT/HR) may be a more sensitive tool to study cardiac repolarization and a valuable addition to the time domain measures such as QTvi. This is especially important in light of the finding that LLEqthr correlated poorly and nonsignificantly with QTvi. These findings suggest an increase in relative cardiac sympathetic activity and a decrease in certain aspects of cardiac vagal function in patients with anxiety as well as depression. The lack of correlation between QTvi and LLEqthr suggests that this nonlinear index is a valuable addition to the linear measures. These findings may also help to explain the higher incidence of cardiovascular mortality in patients with anxiety and depressive disorders.
在本研究中,我们调查了28名正常对照受试者、36名惊恐障碍患者和18名重度抑郁症患者在仰卧和站立姿势下QT间期时间序列的混沌非线性指标。我们获得了瞬时心率(HR)和QT间期序列的最小嵌入维数(MED)和最大Lyapunov指数(LLE)。MED量化系统的复杂性,LLE量化可预测性。患者的QT间期时间序列的MED显著降低,LLE显著增加。最重要的是,在任何一种姿势下,对照组与两个患者组之间的QT/HR时间序列的非线性指标,即MEDqthr(QT/HR的MED)和LLEqthr(QT/HR的LLE)都有极显著差异。即使在调整年龄后,结果仍然相同。焦虑和抑郁症患者QT间期时间序列的LLE增加与我们之前使用线性技术在这些患者中发现的较高QTvi(QT变异性指数,即校正平均QT平方除以校正平均心率平方的心率变异性后的QT变异性对数比)一致。增加的LLEqthr(QT/HR的LLE)可能是研究心脏复极化的更敏感工具,也是对诸如QTvi等时域测量的有价值补充。鉴于LLEqthr与QTvi的相关性较差且无统计学意义,这一点尤为重要。这些发现表明,焦虑症和抑郁症患者的心脏交感神经相对活动增加,心脏迷走神经功能的某些方面降低。QTvi与LLEqthr之间缺乏相关性表明该非线性指标是对线性测量的有价值补充。这些发现也可能有助于解释焦虑症和抑郁症患者心血管死亡率较高的原因。