SUDEP and heart rate variability.
SUDEP and heart rate variability.
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SUDEP 和心率变异性。
DOI:
10.1016/j.eplepsyres.2010.03.013
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发表时间:
2010
影响因子:
2.2
通讯作者:
DeGiorgio,AndrewC
中科院分区:
文献类型:
--
作者:
DeGiorgio,ChristopherM;DeGiorgio,AndrewC
We read with interest the important article by Surges et al. regarding their case-controlled study of heart rate variability (HRV) and sudden unexplained death in epilepsy (SUDEP)(Surges et al 2009). Surges retrospectively examined multiple measures of HRV in a group of seven SUDEP victims and seven age-matched controls. To the authors' surprise, differences in HRV measures were not significant.However, when one carefully reviews the HRV data, specifically measures of high-frequency HRV (RMSSD and High Frequency Spectral Power), it is clear that there are substantial numerical differences between the two groups (Surges et al 2009). High-frequency HRV is important to consider because it is associated with vagus nerve/parasympathetic control of the heart, and low values indicate dysfunctional central nervous system control of the cardiac rhythm (Stein et al 1993; Kleiger et al 1987). In data gathered from 4: 00–5: 00 pm, mean values of both RMSSD and High Frequency Spectral Power were noticeably lower in the SUDEP group than in the control group (Surges et al 2009). For example, the SUDEP group showed a mean RMSSD of 38 msec (SD 12 msec), while the control group had a mean of 46 msec (SD 23 msec). For High Frequency Spectral Power the magnitude of the difference and standard deviation were even higher. The SUDEP group had a mean of 297 msec2 (SD 178 msec2) versus a mean HFSP of 500 msec2 (SD 449 msec2) for the control group. This represents a 40% difference between the groups. With the small sample size and the large standard deviations in both measures, it is not surprising that a significant difference could not be detected. Surges et al. admit,“The inter-individual variability of HRV parameters is relatively large…” and “… Our failure to detect any difference in inter-ictal HRV in SUDEP and control patients could therefore be due to small sample size”(Surges et al 2009).