Grönemeyer Institute of Microtherapy, University of Witten/Herdecke, Bochum, Germany.
Auton Neurosci. 2013 Nov;178(1-2):24-8. doi: 10.1016/j.autneu.2013.01.005. Epub 2013 Jan 29.
The change in fetal heart rate and its variability (HRV) during the course of gestation has been documented by numerous studies. The overall drop in heart rate and increase in fetal HRV is associated with fetal growth in general and with the increase in neural integration in particular. The increased complexity of the demands on the cardiovascular system leads to more variation in the temporal course of the heart rate. Most studies that document and interpret these changes are based on data acquired in groups of fetuses. The aim of this work was to investigate HRV within single fetuses. We acquired 213 5min fetal magnetocardiograms in 11 fetuses during the second and third trimesters (at least 10 data sets per fetus, median 17). From the magnetocardiograms we determined the fetal RR interval time series and calculated the standard deviation (SDNN), root mean square of successive differences (RMSSD), approximate entropy (ApEn) and temporal asymmetry (Irrev). For each subject and HRV measure, we performed regression analysis with respect to gestational age, alone and in combination with RR interval. The coefficient of determination R(2) was used to estimate goodness-of-fit. The coefficient of quartile dispersion (CQD) was used to compare the regression parameters for each HRV measure. Overall, the HRV measures increased with age and RR interval. The consistency of the HRV measures within the individual fetuses was greater than in the data pooled over all fetuses. The individual R(2) for the model including age and RR interval was best for ApEn (.79, .59-.94; median, 90% CI), followed by RMSSD (.71, .25-.88), SDNN (.55, .18-.90) and Irrev (.16, .01-.39). These values, except for Irrev, were higher than those calculated over all 213 data sets (R(2)=.65, .63, .35, .28, respectively). The slopes of the regressions of each individual's data were most consistent over all subjects for ApEn, followed by RMSSD and SDNN and Irrev. Interindividually, the time domain measures showed discrepancies and the within-fetus courses were more consistent than the course over all fetuses. On the other hand, the course of ApEn during gestation was not only very consistent within each fetus but also very similar between most of subjects. Complexity measures such as ApEn may thus more consistently reflect prenatal developmental factors influencing cardiovascular regulation.
胎儿心率及其变异性(HRV)在妊娠过程中的变化已被许多研究记录下来。心率总体下降和胎儿 HRV 增加与胎儿生长有关,尤其是与神经整合的增加有关。心血管系统需求的复杂性增加导致心率的时间过程变化更大。记录和解释这些变化的大多数研究都是基于从胎儿群体中获得的数据。这项工作的目的是研究单个胎儿的 HRV。我们在 11 名胎儿的第二个和第三个三个月期间获得了 213 个 5 分钟的胎儿磁心电图(每个胎儿至少有 10 个数据集,中位数为 17)。从磁心电图中,我们确定了胎儿 RR 间隔时间序列,并计算了标准偏差(SDNN)、连续差异的均方根(RMSSD)、近似熵(ApEn)和时间不对称性(Irrev)。对于每个受试者和 HRV 测量,我们单独和与 RR 间隔一起进行了关于胎龄的回归分析。决定系数 R²用于估计拟合优度。四分位距分散系数(CQD)用于比较每个 HRV 测量的回归参数。总体而言,HRV 测量值随年龄和 RR 间隔的增加而增加。个体胎儿内的 HRV 测量值的一致性大于所有胎儿的平均值。包含年龄和 RR 间隔的模型的个体 R²对 ApEn 最佳(0.79,0.59-0.94;中位数,90%CI),其次是 RMSSD(0.71,0.25-0.88)、SDNN(0.55,0.18-0.90)和 Irrev(0.16,0.01-0.39)。除了 Irrev 之外,这些值都高于所有 213 个数据集计算的值(R²=0.65、0.63、0.35、0.28)。对于每个个体数据的回归斜率,在所有受试者中,ApEn 的一致性最高,其次是 RMSSD 和 SDNN,最后是 Irrev。个体间,时域测量存在差异,胎儿内的过程比所有胎儿的过程更一致。另一方面,ApEn 在妊娠期间的过程不仅在每个胎儿内非常一致,而且在大多数受试者之间也非常相似。因此,复杂的测量方法,如 ApEn,可能更能反映影响心血管调节的产前发育因素。