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BMC Pregnancy and Childbirth logoLink to BMC Pregnancy and Childbirth
. 2018 Jun 27;18:264. doi: 10.1186/s12884-018-1900-4

Heart rate variability in healthy term newborns is related to delivery mode: a prospective observational study

Marek Kozar 1, Ingrid Tonhajzerova 2,3, Michal Mestanik 2,3, Katarina Matasova 1, Mirko Zibolen 1, Andrea Calkovska 2,3, Kamil Javorka 2,3,
PMCID: PMC6020381  PMID: 29945544

Abstract

Background

Early postnatal period is characterized by dramatic adaptation changes of cardiovascular and respiratory systems in newborns. There is still insufficient data regarding maturation of autonomic regulatory mechanisms in neonates early after delivery. Aim of this study was to analyze cardiac autonomic regulation in newborns within the first few postnatal days in relation to different modes of delivery using time and spectral heart rate variability analysis.

Methods

Eutrophic healthy term newborns (n = 46) were divided into three groups according to the delivery mode: vaginal delivery (VD group; n = 16), vaginal delivery with epidural analgesia (EDA group; n = 16), and caesarean section under general anesthesia (CS group; n = 14). Heart rate variability (HRV), blood pressure (BP), and blood oxygen saturation (SpO2) were measured within the first two hours after birth and on the third to fourth postnatal day. HRV parameters were evaluated in the time domain (RR intervals, mean square of successive differences – MSSD) and frequency domain (total spectral power – TP, absolute and relative low and high frequency powers).

Results

The HRV spectral analysis showed significantly higher relative power of the high-frequency band (HF%) in the VD group compared to the CS group early after delivery (p = 0.002). HRV parameters and BP significantly increased on the third to fourth postnatal day in all groups (p < 0.05). No significant differences in basic characteristics, BP and SpO2 were identified between groups during both measurements.

Conclusions

HRV analysis revealed higher cardiovagal modulation in spontaneously born newborns without analgesia compared to neonates born by caesarean section. It could represent a potential pathomechanism that leads to discrete abnormal neurocardiac regulation associated with higher risk for worsened postnatal adaptation of cardiovascular system in surgically delivered neonates.

Keywords: Heart rate variability, Full-term newborn, Delivery mode, Postnatal adaptation

Background

The neonatal period is a vulnerable age characterized by dramatic physiological changes. The cardiovascular and respiratory systems play crucial roles in early postnatal adaptation after delivery [1]. Postnatal cardiovascular adaptation starts within the first few minutes of the onset of spontaneous breathing, but the complex process continues for several hours to days [1]. In this context, study of the cardiovascular regulatory mechanisms could provide important information about early postnatal adaptation.

The heart rate is primarily controlled through the sympathetic and parasympathetic parts of the autonomic nervous system. Newborns have high heart rate, which corresponds to cardiac-linked sympathetic predominance associated with decreased vagal activity. Thus, the development of the cardiac autonomic innervation is not complete after birth [2]. Heart rate variability (HRV) describes the oscillation in the interval between consecutive heartbeats as well as the oscillations between consecutive instantaneous heart rates [3]. In this context, HRV could provide a unique noninvasive tool to obtain information about the early regulatory mechanisms of the cardiac dynamic sympathovagal balance. This information could indicate physiological maturation and postnatal adaptation in newborns.

Recent studies revealed higher HRV associated with a tendency to increase within the first postnatal days in full-term neonates compared to preterm neonates [4]. In pathological conditions, reduced HRV is associated with hypoxic-ischemic encephalopathy [5], intraventricular hemorrhage [6], respiratory distress syndrome [7], persisting ductus arteriosus [8], infection and sepsis [9], hyperbilirubinemia requiring phototherapy treatment [10], etc. Therefore, HRV analysis has become a promising and sensitive tool in neonatal practice, which allows early detection of disease onset, even within several hours before its clinical manifestation [11].

The neonatal HRV is characterized by certain physiological mechanisms. Specifically, respiratory sinus arrhythmia (RSA) represents the most important mechanism influencing short-term HRV. Two major mechanisms are recognized in RSA generation. The first is a central mechanism characterized by the interaction between the respiratory and cardiomotoric centers, resulting in increased heart rate during inspiration (i.e., decreased vagal activity) and vice versa during expiration (i.e., increased vagal activity). The second is a peripheral mechanism involving lung inflation, which inhibit vagal activity during inspiration, as well as peripheral chemoreceptors that detect oscillations in blood oxygen, carbon dioxide, and pH [12].

With regard to HRV, the high-frequency band (HF) represents the cardiac parasympathetic modulation linked to RSA, while the low-frequency band (LF) is considered an index of baroreflex activity that is mediated by both the sympathetic and parasympathetic compartments of the autonomic nervous system [13, 14]. However, recent studies dispute that the LF is related to sympathetic activity, thus “the clinical significance of the association of cardiac sympathetic overactivity with LF power related indices is questionable” [15, 16]. Furthermore, in newborns, the higher respiratory rate (40–60 breaths per minute) should be taken into account in the modification and consequent extension of the HF range up to 1.0–2.0 Hz [2].

Moreover, HRV in newborns is influenced by other factors, such as heritability, maternal factors (e.g., maternal blood pressure (BP) and blood oxygen saturation (SpO2)), sleep phase, and potentially the delivery mode [17]. In surgically born neonates, recent studies observed reduced heart rate [18], HRV [19], BP [20], and SpO2 [21] early after delivery. Thus, we addressed the hypothesis that cardiac autonomic regulation indexed by HRV analysis could be related to delivery modes in newborns. The main objective was to study the cardiac autonomic regulatory mechanisms in healthy full-term newborns within the early postnatal period in relation to different modes of delivery using HRV analysis. Specifically, several factors were hypothesized to affect the cardiovascular regulation early after birth: the absence of physiological delivery mechanisms in babies born by caesarean section, the effect of general anesthesia / epidural analgesia and the difference in early postnatal management of newborns (absence of bonding in surgically delivered babies). Secondly, we aimed to assess the influence of delivery mode on BP and SpO2, which are physiological parameters that indicate postnatal adaptation. To the best of our knowledge, our study is the first one to evaluate HRV within the first few postnatal days in healthy eutrophic full-term newborns from the perspective of delivery modes.

Compared to previous brief report of the preliminary findings of this study in a recent review [22], the present paper provides a complete description of the evolution of HRV parameters and hemodynamic characteristics within the early postnatal period in relation to different modes of delivery.

Methods

The study was performed from January 2013 to December 2015 at the Department of Neonatology in University Hospital in Martin, Slovakia - as the essential part of the first author’s PhD thesis [23].

Study design

This prospective study included 46 healthy term newborns divided into three groups according to the mode of delivery. The VD group (vaginal delivery without analgesia) included 16 subjects (7 boys, 9 girls). The EDA group (vaginal delivery with epidural analgesia) consisted of 16 subjects (8 boys, 8 girls). A combination of bupivacaine (15 mg) and sufentanil (10 μg) was used for epidural analgesia. The CS group (caesarean section in general anesthesia) involved 14 subjects (7 boys, 7 girls). Intravenously administrated thiopental (500 mg) along with the inhaled anesthetic sevofluran were given to women who underwent caesarean sections. Only newborns with indications of elective caesarean sections were included (breech presentation, repeat caesarean section, primary maternal indication for caesarean section). Newborns in VD and EDA groups were delivered spontaneously and without the need for instrumental delivery (i.e., forceps and vacuum extractor).

The inclusion criteria were 37–40 weeks of gestation at birth, delivery without complications followed by physiological immediate postnatal adaptation (Apgar score ≥ 8 in 1 min and ≥ 9 in 5 min after birth) without signs of intrauterine hypoxia (umbilical arterial pH > 7.2 immediately after birth, physiological acid-base parameters), normotrophic status (birth weight between the 10th and 90th percentiles for appropriate gestational age according to Fenton growth charts), normothermia (core body temperature between 36.0 and 37.5 °C), and physiological respiratory rate indicating appropriate postnatal adaptation of the respiratory system (40–60 breaths per min). The exclusion criteria included pathological gravidity (preterm birth, preeclampsia, intrauterine growth restriction, etc.), maternal systemic disease (including gestational and other types of diabetes) and smoking during pregnancy. Subjects were also excluded in the event of congenital anomaly, perinatal infection, hypotension, hypoglycemia, or hyperbilirubinemia requiring phototherapy during the observed time.

Measurements and data processing

Newborns underwent two measurements - the first was performed early after birth (between the first and second hour after birth) and the second measurement on the third to fourth postnatal day. The measured data (ECG signal for short-term HRV analysis, BP, and SpO2) were acquired in a supine position during the sleep period in neonates who were placed in an incubator (first measurement) or a neonatal cot covered with a blanket (second measurement). The second measurement was performed at least 30 min after feeding to minimize its effect on HRV.

Heart rate variability processing

Three neonatal ECG electrodes were placed on the newborn’s chest to record the RR intervals using a telemetric system (Var Cor PF7, Neonatal, Dimea Olomouc, Czech Republic) with the sampling frequency 1000 Hz – signal sampling and digitization was done periodically with a period of 1 ms. The time interval for ECG recording was 20 min for each measurement. Recording of ECG signal was initiated after the period of approximately 30 min of heart rate stabilization. RR intervals were filtered by the elimination of artifacts caused by occasional arrhythmias or disturbances during ECG recordings using a recognition algorithm (automatic filtration method eliminating RR interval values differing by more than 20% from the preceding interval) and then controlled manually. Consecutively, the 300 RR intervals were used for the time and spectral HRV analysis. The calculation of the spectral HRV analysis was performed by using the fast Fourier transformation method with partially modified Coarse-graining Spectral Analysis (window length 256 samples). The algorithm provides optimum suppression of nonharmonic and noise components of analyzed signal.

For the time analysis, the evaluated HRV parameters were the mean duration of RR interval (ms) and mean square of successive differences (MSSD; ms). For the spectral analysis, the evaluated HRV parameters were the absolute and relative spectral power in the high-frequency band (HF: 0.15–1.5 Hz) and low-frequency band (LF: 0.04–0.15 Hz), as well as the total spectral power (TP: 0.04–1.5 Hz) [2]. The percentual expression of spectral power in each band (LF%, HF%) is related to total spectral power. Since there are no standard recommendations for HRV analysis in newborns [24], only HF frequency band was adapted (up to 1.5 Hz) reflecting high respiratory rate in newborns.

Other physiological parameters

The physiological parameters BP and SpO2 were measured using a vital functions monitor (Carescape Monitor V100, GE Healthcare). The measurements were acquired immediately after the ECG recording using an oscillometric method for BP and Masimo pulse oximetry method for SpO2. Respiratory rate was measured visually using a stopwatch every 5 min during the ECG recording. Additionally, the status and clinical condition were evaluated based on the core body temperature measured using a standard neonatal thermometer, basic characteristic data (gestational age, birth weight, Apgar score), and selected laboratory parameters (acid-base parameters, glycaemia, serum bilirubin).

Statistical analysis

Data were analyzed using the statistical software package Systat (Cranes Software International Ltd., USA). The normality of the distribution was tested using the Shapiro-Wilk test, and the variables with a non-normal distribution (MSSD, LF, HF, and TP) were logarithmically transformed. The equality of variance was tested using Levene’s test and all variables except for serum bilirubin showed equal variances across the evaluated samples.

One-way analysis of variance (ANOVA) was used for between-groups comparison of the parameters evaluated only early after birth (gestational age, birth weight, body temperature, respiratory rate, and acid-base parameters) or on the third to fourth postnatal day (glycaemia) (Table 1). The between-groups differences in serum bilirubin were analyzed using Kruskal-Wallis test (Table 1). HRV, BP, and SpO2 were tested for the effects of group and the postnatal age using a two-way repeated-measures ANOVA and post hoc Holm-Sidak multiple comparison test with alpha = 0.05 (Tables 2 and 4). The effect of group was entered as a between-subjects factor and the effect of postnatal age as a within-subjects factor. Data were additionally analysed using linear regression modelling with LF% or HF% early after birth as dependent variables and delivery mode group, gestational age, birth weight, respiratory rate and heart rate as candidate predictors. Delivery mode group was included as a categorical variable with categories “Vaginal delivery without analgesia”, “Vaginal delivery with epidural analgesia”, and “Caesarean section under general anesthesia”. Gestational age, birth weight, respiratory rate and heart rate were included as continuous variables (Table 3). The subsets of the variables which best contributed to prediction of the LF% and HF% were assessed using Mallows Cp statistics as best criterion. Presence of multicollinearity was checked using assessment of the variance inflation factor (VIF). A value of p < 0.05 was considered statistically significant. The presented data are expressed as the mean (x̅) ± standard deviation (SD), or median (M) with interquartile range (IQR).

Table 1.

Characteristics of subjects

Variable VD EDA CS
Sex Boys n (%) 7 (43.8) 8 (50) 7 (50)
Girls 9 (56.2) 8 (50) 7 (50)
Gestational age (weeks) x¯ ± SD 39.3 ± 1.2 39.3 ± 0.9 38.8 ± 1.4
Birth weight (grams) 3507 ± 453 3402 ± 363 3535 ± 552
Acid - base pH x¯ ± SD 7.32 ± 0.04 7.31 ± 0.05 7.33 ± 0.04
BE (mmol/l) −2.6 ± 1.3 −2.9 ± 1.6 −1.4 ± 1.9
Lactate (mmol/l) 2.9 ± 1.1 3.2 ± 0.7 2.6 ± 1.3
Temperature (° C) x¯ ± SD 36.6 ± 0.4 36.8 ± 0.4 36.6 ± 0.3
Respiratory rate (/min) x¯ ± SD 47.6 ± 7.2 50.5 ± 5.3 49.8 ± 10.9
Glycaemia (II) (mmol/l) x¯ ± SD 3.9 ± 0.8 3.9 ± 0.6 4.1 ± 0.7
Bilirubin (II) (umol/l) M (IQR) 152 (116–199) 159 (109–177) 120 (112–130)

VD spontaneous vaginal delivery, EDA spontaneous delivery with epidural analgesia, CS caesarean section, BE base excess, II 2nd measurement, x¯ arithmetic mean, SD standard deviation, M median, IQR interquartile range

Table 2.

Values of HRV parameters in time and frequency domains

Parameters Group
VD (n = 16) EDA (n = 16) CS (n = 14)
Time domain RR1 (s) x¯ ±SD (SEM) 0.501 ± 0.03 (0.008) 0.513 ± 0.05 (0.012) 0.498 ± 0.03 (0.008)
RR2 (s) x¯ ±SD (SEM) 0.573 ± 0.06 (0.015) 0.55 ± 0.05 (0.012) 0.564 ± 0.054 (0.014)
log MSSD1 (ms) x¯ ±SD (SEM) 4.14 ± 1.1 (0.28) 4.08 ± 1.5 (0.4) 3.49 ± 0.83 (0.22)
log MSSD2 (ms) x¯ ±SD (SEM) 6.42 ± 1.1 (0.28) 6.13 ± 0.96 (0.24) 6.21 ± 1.23 (0.33)
Frequency domain log LF1 (ms2) x¯ ±SD (SEM) 2.45 ± 1.05 (0.26) 2.86 ± 1.3 (0.32) 3.12 ± 1.02 (0.27)
log LF2 (ms2) x¯ ±SD (SEM) 4.89 ± 1.4 (0.35) 4.45 ± 1.46 (0.37) 5.37 ± 0.96 (0.26)
log HF1 (ms2) x¯ ±SD (SEM) 3.02 ± 0.92 (0.23) 3.18 ± 1.55 (0.39) 2.7 ± 1.1 (0.3)
log HF2 (ms2) x¯ ±SD (SEM) 5.38 ± 1.22 (0.31) 5.1 ± 0.93 (0.23) 5.2 ± 1.08 (0.29)
LF1% x¯ ±SD (SEM) 37.3 ± 14.7 (3.7) ** 43.3 ± 19 (4.7) 59.2 ± 18.4 (4.9) **
LF2% x¯ ±SD (SEM) 40.2 ± 20.9 (5.2) 37.6 ± 21.3 (5.3) 54.1 ± 20.6 (5.5)
HF1% x¯ ±SD (SEM) 62.7 ± 14.7 (3.7) ** 56.7 ± 19 (4.7) 40.8 ± 18.4 (4.9) **
HF2% x¯ ±SD (SEM) 59.8 ± 20.9 (5.2) 62.4 ± 21.3 (5.3) 45.9 ± 20.3 (5.4)
log TP1 (ms2) x¯ ±SD (SEM) 3.52 ± 0.91 (0.23) 3.81 ± 1.42 (0.36) 3.69 ± 0.98 (0.26)
log TP2 (ms2) x¯ ±SD (SEM) 5.96 ± 1.21 (0.3) 5.64 ± 0.98 (0.24) 6.09 ± 0.92 (0.25)

VD spontaneous vaginal delivery, EDA spontaneous delivery with epidural analgesia, CS caesarean section, RRi duration of RR intervals, log MSSDi common logarithm of mean square of succesive differences, log LFi common logarithm of low-frequency power band, log HFi common logarithm of high-frequency power band, LFi % relative power of low-frequency band, HFi % relative power of high-frequency band, log TPi common logarithm of total spectral power, s second, ms milisecond, ms2 squared milisecond, x¯ arithmetic mean, SD standard deviation, SEM standard error of the mean

**p value < 0.001. The parameters are indicated as i = 1 for the value at the 1st measurement and i = 2 for the value at the 2nd measurement

Table 4.

Values of blood pressure and blood oxygen saturation

Parameters Group
VD (n = 16) EDA (n = 16) CS (n = 14)
Blood pressure SYS BP1 (mmHg) x¯ ±SD (SEM) 71.3 ± 7.7 (1.9) 74.4 ± 10.1 (2.5) 66.8 ± 7.4 (1.9)
SYS BP2 (mmHg) x¯ ±SD (SEM) 80.9 ± 11.5 (2.9) 78.5 ± 9.5 (2.4) 74.3 ± 9.1 (2.4)
DIA BP1 (mmHg) x¯ ±SD (SEM) 37.1 ± 6.3 (1.6) 38.3 ± 8.6 (2.1) 35 ± 5.1 (1.4)
DIA BP2 (mmHg) x¯ ±SD (SEM) 44.2 ± 7.1 (1.8) 45.3 ± 9.6 (2.4) 41.3 ± 9.7 (2.6)
MEAN BP1 (mmHg) x¯ ±SD (SEM) 48.6 ± 5.9 (1.5) 49.8 ± 7.4 (1.8) 45.6 ± 4.8 (1.3)
MEAN BP2 (mmHg) x¯ ±SD (SEM) 55.9 ± 8.1 (2.0) 56.2 ± 8.0 (2.0) 51.8 ± 8.8 (2.4)
Blood oxygen saturation PRE SpO21 (%) x¯ ±SD (SEM) 96.9 ± 1.3 (0.3) 96.9 ± 1.3 (0.3) 97.4 ± 1.7 (0.5)
PRE SpO22 (%) x¯ ±SD (SEM) 97.7 ± 1.4 (0.3) 97.2 ± 1.5 (0.4) 98.4 ± 1.2 (0.3)
POST SpO21 (%) x¯ ±SD (SEM) 97.4 ± 1.4 (0.4) 97.2 ± 1.3 (0.3) 97.5 ± 1.7 (0.5)
POST SpO22 (%) x¯ ±SD (SEM) 98.5 ± 1.3 (0.3) 98.0 ± 1.7 (0.4) 98.6 ± 1.5 (0.4)

VD spontaneous vaginal delivery, EDA spontaneous delivery with epidural analgesia, CS caesarean section, SYS BPi systolic blood pressure, DIA BPi diastolic blood pressure, MEAN BPi mean blood pressure, PRE SpO2i preductal blood oxygen saturation, POST SpO2i postductal blood oxygen saturation, x¯ arithmetic mean, SD standard deviation, SEM standard error of the mean, mmHg milimeter of mercury

The parameters are indicated as i = 1 for the value at the 1st measurement and i = 2 for the value at the 2nd measurement

Table 3.

Estimated effects of delivery mode and heart rate on relative spectral powers early after birth – regression analysis

Parameter Coefficient Std. error Units Standardised β p-value
LF%
 Intercept −87.496 30.614 0.007
 EDA 7.609 5.278 0.189 0.157
 CS 20.401 5.462 0.491 < 0.001
 Heart rate 1.044 0.254 bpm−1 0.476 < 0.001
HF%
 Intercept 187.488 30.613 < 0.001
 EDA −7.609 5.278 −0.189 0.157
 CS −20.408 5.462 −0.491 < 0.001
 Heart rate −1.044 0.254 bpm− 1 −0.476 < 0.001

EDA vaginal delivery with epidural analgesia, CS caesarean section in general anaesthesia, bpm− 1: a change of the dependent parameter per a difference of heart rate one beat per minute. EDA and CS are dummy-coded and indicate the difference between EDA/CS mode of delivery and vaginal delivery without analgesia

Results

Preliminary HRV data of our study were briefly described as a part of the extensive review concerning various factors and variables affecting HRV in newborns [22]. Despite the fact that prior work included all participants, this original study presents final results including values of HRV, BP and SpO2 together with the clinical characteristic data after consistent and appropriate statistical analysis comparing not only the between-groups differences of the variables, but also the evolution of the HRV parameters and hemodynamic characteristics within the early postnatal period in relation to different modes of delivery, that is not included in the previous study.

The detailed characteristics of the neonates are summarized in Table 1. No significant differences were found between the evaluated groups (VD, EDA, CS) in gestational age, birth weight, body temperature, respiratory rate, acid-base parameters, glycaemia, and serum bilirubin. The postnatal age of subjects was 1.44 ± 0.48 h, 1.77 ± 0.5 h, and 1.40 ± 0.4 h at the beginning of the first measurement, and 75.0 ± 3.2 h, 80.9 ± 12.5 h and 78.9 ± 8.5 h at the beginning of the second measurement in VD, EDA, and CS, respectively.

Heart rate variability parameters

Between-groups comparison

The statistical analysis revealed a significant effect of the delivery mode (VD vs. EDA vs. CS) for the parameters LF% and HF% (F [2] = 6.300, p = 0.004; F [2] = 7.256, p = 0.002; respectively). No significant effect was found for other parameters. Post hoc tests revealed that early after birth, LF% was significantly higher and HF% was significantly lower in the CS group compared to the VD group (p = 0.003, p = 0.002, respectively). However, LF% and HF% in the EDA group were not significantly different from the CS and VD groups. No significant between-groups differences were found on the third to fourth postnatal day.

The effect of postnatal age

A significant effect of postnatal age (third to fourth postnatal day vs. early after birth) was found in the mean RR interval (F [1] = 46.029, p < 0.001), logMSSD (F [1] = 136.615, p < 0.001), logLF (F [1] = 82.186, p < 0.001), logHF (F [1] = 141.737, p < 0.001), and logTP (F [1] = 142.573, p < 0.001). Post hoc tests revealed that the mean RR interval was significantly longer on the third to fourth postnatal day in all the evaluated groups (p < 0.001 for VD and CS, p = 0.014 for EDA group). LogMSSD, logLF, logHF, and logTP were also significantly higher on the third to fourth postnatal day in all the evaluated groups (p < 0.001 for all comparisons). No significant effect of interaction between the two factors (delivery mode vs. postnatal age) was found in the evaluated variables. The values of the HRV parameters are presented in Table 2.

Regression analysis

The linear regression models with only delivery mode group and heart rate best predicted LF% as well as HF% (R2 = 0.447, p < 0.001 for both). Early after birth, HRV parameter LF% showed a significant positive association with heart rate of 1.044 bpm− 1 (p < 0.001). When compared to VD group, LF% was significantly increased by 20.401 in newborns in CS group (p < 0.001). Parameter HF% was associated negatively with heart rate (− 1.044 bpm− 1, p < 0.001), and was significantly decreased by − 20.408 in CS group compared to VD group (p < 0.001). The results of regression analysis are presented in Table 3.

Blood pressure and blood oxygen saturation

Between-groups comparison

ANOVA revealed a significant effect of the delivery mode (VD vs. EDA vs. CS) in preductal SpO2 (F [2] = 3.529, p = 0.038). However, the post hoc test showed no significant differences between the groups within single measurements. No other significant effects of delivery mode were found.

The effect of postnatal age

The statistical analysis revealed a significant effect of postnatal age (third to fourth postnatal day vs. early after birth) for systolic, diastolic, and mean BP (F [1] = 17.908, p < 0.001; F [1] = 21.745, p < 0.001; F [1] = 27.578, p < 0.001; respectively) and for preductal and postductal SpO2 (F [1] = 8.191, p = 0.006; F [1] = 14.585, p < 0.001; respectively). Post hoc tests revealed that systolic BP was significantly higher on the third to fourth postnatal day in the VD and CS groups (p = 0.001, p = 0.017, respectively), but not in the EDA group (p = 0.159). Diastolic and mean BPs were significantly higher on the third to fourth postnatal day in all groups (VD: p = 0.006, p = 0.001; EDA: p = 0.007, p = 0.005; CS: p = 0.021, p = 0.010; respectively). Postductal SpO2 was significantly higher on the third to fourth postnatal day in the VD and CS groups (p = 0.019, p = 0.026, respectively), but the EDA group showed only a tendency toward significantly higher values (p = 0.069). No significant pairwise differences were found in preductal blood oxygen saturation. No significant effect of interaction between the two factors (delivery mode vs. postnatal age) was found in the evaluated variables. The values of BP and SpO2 are presented in Table 4.

Discussion

This study investigated the potential effects of the delivery mode on cardiac autonomic regulation evaluated by the time and spectral HRV analysis. The main findings are the following: 1) Newborns born by vaginal delivery without analgesia (VD group) were characterized by significantly higher HF% compared to surgically delivered neonates (CS group). This indicates the highest cardiovagal regulation in spontaneously born neonates by physiological vaginal delivery without analgesia within the first postnatal day. 2) Significant increases in RR intervals and all HRV parameters were observed in all groups (VD, EDA, and CS) between the measurements. This indicates cardiac autonomic maturation within the third to fourth postnatal day in spontaneously delivered and surgically delivered neonates. 3) There were significant increases in BP and postductal SpO2 in all groups on the third to fourth postnatal day, which indicate appropriate postnatal cardiorespiratory adaptation.

Several mechanisms are assumed for these observations. Firstly, vaginal delivery is spontaneous natural way for postnatal adaptive processes. Specifically, mechanical forces (squeezing of the fetal body during passage through the birth canal) support the effective clearance of lung fluid from the airways and lungs, and delivery stress is accompanied by elevated stress hormones (particularly catecholamines) during physiological vaginal delivery [25, 26]. In contrast, these mechanisms are reduced in surgically delivered neonates, who thus have a higher risk for inadequate postnatal adaptation, that is associated with higher rates of respiratory morbidity [27], resulting in reduced HRV [28].

It seems that the absence of physiological delivery mechanisms could represent an important pathomechanism that leads to decreased HRV found in our groups of neonates born by caesarean section early after delivery. These findings are in accordance with another study that indicated higher LF compared to HF early after delivery, along with a rapid increase in both bands within the first hours of life [29]. With regard to the delivery mode, only one study compared the HRV between spontaneously and surgically born newborns, showing decreased HRV in neonates delivered by caesarean section within three days postpartum [19]. Despite the fact that these results are similar to our findings during the first measurement (significantly lower HF% in the CS group vs. the VD group), we did not identify these differences during the second measurement (on the third to fourth postnatal days). This discrepancy could be explained by unequal inclusion criteria for the CS group [19], which included neonates born by urgent caesarean section due to pathological intrauterine conditions for HRV. Nevertheless, it seems that HRV parameters could indicate subtle differences in cardiac chronotropic regulation according to the delivery mode.

Moreover, the anesthesia represents another potential factor in the HRV of surgically delivered newborns. In particular, the thiopental used in our study has an inhibitory effect on both the sympathetic and parasympathetic nervous systems [2]. Thus, we suggest a potential effect of thiopental on HRV in surgically delivered newborns in our study. In contrast, the epidural analgesia applied prior to spontaneous delivery (EDA group) did not significantly affect HRV during the first measurement, indicating a short-lasting EDA duration without significant influence on the HRV, as reported previously [30].

Consideration is warranted for the different management of newborns early after birth (skin-to-skin contact observed in spontaneously born neonates in both the VD and EDA groups). In our study, spontaneously born healthy newborns were laid on the chest of the mother immediately after birth to bond for 20 min. Higher cardiovagal regulation can result from appropriate stimulation of the receptors, including skin, olfactory and visual stimuli, during the close emotional attachment that forms between the newborn and mother [31, 32]. Thus, it seems that our findings of higher HF% in spontaneously born newborns might reflect neurophysiological mechanisms included in “skin-to-skin” attachment, which was absent in the CS group.

The lowest values of HF power observed early after delivery in the CS group could be important for future clinical observations. In particular, vagal abnormalities early after birth are associated with higher risk of neurodevelopmental disorders, such as autism [33]. Therefore, it is questionable whether the discrete HRV abnormalities in different delivery modes in this study could represent a potential mechanism leading to altered neurocardiac integrity that could result in diseases later in life, or whether they reflect a pathological sign of disorders or complications. However, this question is hypothetical and longitudinal studies are required.

In regard to early developmental changes, our results revealed significant increases in HRV in all three groups on the third to fourth postnatal day. Several studies demonstrated higher LF associated with a dominant HF increase within few days after delivery [4, 34]. We suggest that acceleration in the HRV indices within the first days after delivery could reflect the maturation of cardiovascular regulatory mechanisms, the influence of respiration leading to the amplification of respiratory sinus arrhythmia and the gradual withdrawal of postpartal stress [17].

Among other physiological parameters, our results revealed the lowest values of BP in the CS group compared to spontaneously born newborns (VD, EDA) early after birth, but the differences were not significant. Several studies demonstrated similar results of higher BP in newborns after spontaneous delivery [20, 35] as a result of longer and more intensive effects of stress hormones [36]. Studies related to the impact of delivery mode on BP development later after birth are rare. Previous works reported a persisting significant difference in BP between spontaneously and surgically delivered newborns (lower BP in the CS group) from the first few days [37] until three weeks postpartum [38]. However, a recent study did not confirm these findings [39]. Developmentally, there was a significant increase in systemic BP in all subjects on the third to fourth postnatal day, regardless of the delivery mode. This finding could potentially be the consequence of gradual stabilization of the hemodynamics and maturation of the cardiovascular regulation mechanisms. Further research with continuous recording of blood pressure is needed.

Our study did not reveal a significant difference in preductal versus postductal SpO2 in all groups early after birth, which contrasts with recent studies reporting higher preductal SpO2 [21, 40]. The higher preductal versus postductal SpO2 immediately after delivery could be attributed to transient pulmonary hypertension resulting in right-to-left blood shunting via the ductus arteriosus. Since SpO2 was measured at approximately 3 h after birth in our study, closure of the ductus arteriosus is expected in the majority of our subjects, which would result in the disappearance of the difference in pre- and postductal SpO2 values.

Recent modern management of deliveries should guarantee equivalent postnatal adaptation of cardiovascular and respiratory systems. However, our results are the first to reveal that the parasympathetic component of cardiac autonomic regulation is the lowest in the CS group compared to spontaneously born neonates (VD, EDA) early after birth. This finding could indicate an association between caesarean section and a higher risk of worsened postnatal cardiovascular adaptation compared to spontaneously born babies.

Limitations of the study

The number of newborns in each group was relatively small, so further research on large groups is needed to confirm our results. Moreover, the sleep stage (active or quiet sleep) in newborns was not specified. From this perspective, research using polysomnographic recording could provide additional important information to elucidate this issue.

Regarding the HRV analysis, the physiological interpretation of the LF band is extensively discussed. Despite the fact that the previous studies indicated that LF could be used as a possible marker of cardiac sympathetic regulation [41, 42], recent evidence showed different results: 1) LF is substantially blocked by vagal, but not sympathetic blockade, 2) physiological and psychological manipulations increasing sympathetic outflow often do not raise the LF, but reduce it, 3) pharmacological interventions, e.g. infusion of isoprenaline, inducing sympathetic activation do not enhance LF, 4) there is a lack of associations between LF and valid indicators of sympathetic cardiac regulation - pre-ejection period or cardiac norepinephrine spillover [43]. This question remains controversial in the research [16], therefore, interpretation of changes in LF, as well as LF% values observed in our study is not straightforward, should be considered only with caution and the main result of this study is the finding of differences in cardiovagal regulation.

Conclusions

This study evaluated cardiac-linked autonomic modulation by the time and spectral HRV analysis. The results revealed that the modulation was higher in newborns spontaneously born without analgesia compared to neonates born by caesarean section. We suggest that low cardiac vagal regulation in babies after surgical delivery could represent a risk factor for later postnatal adaptation.

Acknowledgments

Funding

This work was supported by VEGA grants No. 1/0202/16 and No. 1/0044/18; APVV - 0235-12; “Biomedical Center Martin” ITMS Code 26220220187; and Center of Excellence of Perinatology Research (CEPV).

Availability of data and materials

The datasets supporting the conclusions of current study are available from the corresponding author on reasonable request.

Abbreviations

ANOVA

Analysis of variance

BP

Blood pressure

CS

Caesarean section

EDA

Epidural analgesia

HF

High-fequency spectral power

HF%

Relative high-fequency spectral power

HRV

Heart rate variability

LF

Low-frequency spectral power

LF%

Relative low-frequency spectral power

MSSD

Mean square of successive differences

RSA

Respiratory sinus arrhythmia

SpO2

Blood oxygen saturation

TP

Total spectral power

VD

Vaginal delivery

VIF

Variance inflation factor

Authors’ contributions

Author MK collected the data, performed the measurements and drafted the manuscript. Author KJ performed analysis of HRV and together with author IT assisted in data interpretation and drafting of the manuscript. Author MM processed the statistical analyses. Authors KM a MZ provided important clinical advices and general supervision of study and together with authors AC and KJ contributed to the design of study. All authors have revised the manuscript and approved its final version.

Ethics approval and consent to participate

The study was approved by the Ethical Committee of Jessenius Medical Faculty in Martin and Comenius University in Bratislava (EK 1443/2013). Subjects were enrolled in the study after obtaining informed written consent from their parents or guardians.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

Marek Kozar, Phone: +421 908 042 391, Email: 1marekkozar1@gmail.com.

Ingrid Tonhajzerova, Phone: +421 43 2633 404, Email: tonhajzerova@jfmed.uniba.sk.

Michal Mestanik, Phone: +421 43 2633 466, Email: mestanik@jfmed.uniba.sk.

Katarina Matasova, Phone: +421 43 4203 759, Email: matasova.katarina@gmail.com.

Mirko Zibolen, Phone: +421 43 4203 733, Email: zibolen.mirko.sen@gmail.com.

Andrea Calkovska, Phone: +421 43 2633 422, Email: calkovska@jfmed.uniba.sk.

Kamil Javorka, Phone: +421 905 482 110, Email: javorka@jfmed.uniba.sk.

References

  • 1.van Vonderen JJ, Roest AA, Siew ML, Walther FJ, Hooper SB, et al. Measuring physiological changes during the transition to life after birth. Neonatology. 2014;105:230–242. doi: 10.1159/000356704. [DOI] [PubMed] [Google Scholar]
  • 2.Javorka K. Variabilita frekvencie srdca. Mechanizmy, hodnotenie, klinické využitie. Osveta: Martin; 2008. [Google Scholar]
  • 3.Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology Heart rate variability: standards of measurement, physiological interpretation and clinical use. Circulation. 1996;93:1043–1065. doi: 10.1161/01.CIR.93.5.1043. [DOI] [PubMed] [Google Scholar]
  • 4.Selig FA, Tonolli ER, Silva EV, Godoy MF. Heart rate variability in preterm and term neonates. Arq Bras Cardiol. 2011;96:443–449. doi: 10.1590/S0066-782X2011005000059. [DOI] [PubMed] [Google Scholar]
  • 5.Massaro AN, Govindan RB, Al-Shargabi T, Andescavage NN, Metzler M, et al. Heart rate variability in encephalopathic newborns during and after therapeutic hypothermia. J Perinatol. 2014;34:836–841. doi: 10.1038/jp.2014.108. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Hanna BD, Nelson MN, White-Traut RC, Silvestri JM, Vasan U, et al. Heart rate variability in preterm brain-injured and very-low-birth-weight infants. Biol Neonate. 2000;77:147–155. doi: 10.1159/000014209. [DOI] [PubMed] [Google Scholar]
  • 7.van Ravenswaaij-Arts CM, Hopman JC, Kollée LA, van Amen JP, Stoelinga GB, et al. The influence of respiratory distress syndrome on heart rate variability in very preterm infants. Early Hum Dev. 1991;27:207–221. doi: 10.1016/0378-3782(91)90195-9. [DOI] [PubMed] [Google Scholar]
  • 8.Prietsch V, Maier R, Schmitz L, Obladen M. Long-term variability of heart rate increases with successful closure of patent ductus arteriosus in preterm infants. Biol Neonate. 1992;61:142–149. doi: 10.1159/000243736. [DOI] [PubMed] [Google Scholar]
  • 9.Griffin MP, Moorman JR. Toward early diagnosis of neonatal sepsis and sepsislike illness using novel heart rate analysis. Pediatrics. 2001;107:97–103. doi: 10.1542/peds.107.1.97. [DOI] [PubMed] [Google Scholar]
  • 10.Uhrikova Z, Zibolen M, Javorka K, Chladekova L, Javorka M. Hyperbilirubinemia and phototherapy in newborns: effects on cardiac autonomic control. Early Hum Dev. 2015;91:351–356. doi: 10.1016/j.earlhumdev.2015.03.009. [DOI] [PubMed] [Google Scholar]
  • 11.Fairchild KD, Aschner JL. HeRO monitoring to reduce mortality in ICU patients. Res Rep Neonatol. 2012;2:65–76. [Google Scholar]
  • 12.Tonhajzerova I. Autonomic Nervous System: From Non-Invasive Testing to Clinical perspective. In: Freeman P, editor. Neurological perspectives of Autonomic Dysfunctions. New York: Nova Science Publishers, Inc; 2016. pp. 1–61. [Google Scholar]
  • 13.Akselrod S, Gordon D, Ubel FA, Shannon DC, Berger AC, et al. Power spectrum analysis of heart rate fluctuation: a quantitative probe of beat-to-beat cardiovascular control. Science. 1981;213:220–222. doi: 10.1126/science.6166045. [DOI] [PubMed] [Google Scholar]
  • 14.Giddens DP, Kitney RI. Neonatal heart rate variability and its relation to respiration. J Theor Biol. 1985;113:759–780. doi: 10.1016/S0022-5193(85)80192-2. [DOI] [PubMed] [Google Scholar]
  • 15.Kiyono K, Hayano J, Watanabe E, Yamamoto Y. Heart rate variability (HRV) and sympathetic nerve activity. In: Iwase S, Hayano J, Orimo S, editors. Clinical assessment of the autonomic nervous system. Tokyo: Springer Japan; 2017. pp. 147–161. [Google Scholar]
  • 16.Heathers J, Goodwin M. Dead science in live psychology: a case study from Heart Rate Variability (HRV) 2018. 10.17605/OSF.IO/637YM.
  • 17.Javorka K, Javorka M, Tonhajzerova I, Calkovska A, Lehotska Z, et al. Determinants of heart rate in newborns. Acta Medica Martiniana. 2011;11:7–16. [Google Scholar]
  • 18.Dawson JA, Kamlin CO, Wong C, te Pas AB, Vento M, et al. Changes in heat rate in the first minutes after birth. Arch Dis Child Fetal Neonatal Ed. 2010;95:177–181. doi: 10.1136/adc.2009.169102. [DOI] [PubMed] [Google Scholar]
  • 19.Sheen TC, Lu MH, Lee MY, Chen SR. Nonreassuring fetal heart rate decreases heart rate variability in newborn infants. Ann Noninvasive Electrocardiol. 2014;19:273–278. doi: 10.1111/anec.12139. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Pichler G, Cheung PY, Binder C, O'Reilly M, Schwaberger B, et al. Time course study of blood pressure in term and preterm infants immediately after birth. PLoS One. 2014; 10.1371/journal.pone.0114504. [DOI] [PMC free article] [PubMed]
  • 21.Rüegger C, Bucher HU, Mieth RA. Pulse oximetry in the newborn: is the left hand pre- or post-ductal? BMC Pediatr. 2010;10:1–6. doi: 10.1186/1471-2431-10-35. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Javorka K, Lehotska Z, Kozar M, Uhrikova Z, Kolarovszki B, et al. Heart rate variability in newborns. Physiol Res. 2017;66:S203–S214. doi: 10.33549/physiolres.933676. [DOI] [PubMed] [Google Scholar]
  • 23.Kozar M. Early Postnatal Development of Cardiorespiratory Functions in Term Newborns (in Slovak). PhD Thesis. Comenius University in Bratislava, Jessenius Faculty of Medicine in Martin. 2016; 117 p.
  • 24.Cardoso S, Silva MJ, Guimarães H. Autonomic nervous system in newborns: a review based on heart rate variability. Childs Nerv Syst. 2017;33:1053–1063. doi: 10.1007/s00381-017-3436-8. [DOI] [PubMed] [Google Scholar]
  • 25.te Pas AB, Davis PG, Hooper SB, Morley CR. From liquid to air: breathing after birth. J Pediatr. 2008;152:607–611. doi: 10.1016/j.jpeds.2007.10.041. [DOI] [PubMed] [Google Scholar]
  • 26.Hillman N, Kallapur SG, Jobe A. Physiology of transition from intrauterine to Extrauterine life. Clin Perinatol. 2012;39:769–783. doi: 10.1016/j.clp.2012.09.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Zelop C, Heffner LJ. The downside of cesarean delivery: short- and long-term complications. Clin Obstet Gynecol. 2004;47:386–393. doi: 10.1097/00003081-200406000-00012. [DOI] [PubMed] [Google Scholar]
  • 28.Aarimaa T, Oja R, Antila K, Valimaki I. Interaction of heart rate and respiration in newborn babies. Pediatr Res. 1988;24:745–750. doi: 10.1203/00006450-198812000-00019. [DOI] [PubMed] [Google Scholar]
  • 29.Kume M, Matsuzaki H, Mizote M. Measurement of heart rate variability in early neonates just after birth. First International IEEE EMBS Conference on Neural Engineering 2003;265–267.
  • 30.Toth B, Becker A, Seelbach-Gobel B. Oxygen saturation in healthy newborn infants immediately after birth measured by pulse oxymetry. Arch Gynecol Obstet. 2002;266:105–107. doi: 10.1007/s00404-001-0272-5. [DOI] [PubMed] [Google Scholar]
  • 31.Coria-Avila CA, Manzo J, Garcia LI, Carrillo P, Miquel M, et al. Neurobiology of social attachments. Neurosci Biobehav Rev. 2014;43:173–182. doi: 10.1016/j.neubiorev.2014.04.004. [DOI] [PubMed] [Google Scholar]
  • 32.Porges SW. The polyvagal theory: phylogenetic substrates of a social nervous system. Int J Psychophysiol. 2001;42:123–146. doi: 10.1016/S0167-8760(01)00162-3. [DOI] [PubMed] [Google Scholar]
  • 33.Porges SW. The polyvagal perspective. Biol Psychol. 2007;74:116–143. doi: 10.1016/j.biopsycho.2006.06.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Mehta SK, Super DM, Connuck D, Salvator A, Singer L, et al. Heart rate variability in healthy newborn infants. Am J Cardiol. 2002;89:50–53. doi: 10.1016/S0002-9149(01)02162-2. [DOI] [PubMed] [Google Scholar]
  • 35.Salihoğlu O, Can E, Beşkardeş A, Koç BŞ, Tan I, et al. Delivery room blood pressure percentiles of healthy, singleton, liveborn neonates. Pediatr Int. 2012;54:182–189. doi: 10.1111/j.1442-200X.2011.03520.x. [DOI] [PubMed] [Google Scholar]
  • 36.Le Flore JL, Engle WD. Clinical factors influencing blood pressure in the neonate. NeoReviews. 2002;3:145–150. doi: 10.1542/neo.3-8-e145. [DOI] [Google Scholar]
  • 37.O'Sullivan MJ, Kearney PJ, Crowley MJ. The influence of some perinatal variables on neonatal blood pressure. Acta Paediatr. 1996;85:849–853. doi: 10.1111/j.1651-2227.1996.tb14166.x. [DOI] [PubMed] [Google Scholar]
  • 38.Holland WW, Young LM. Neonatal blood pressure in relation to maturity, mode of delivery, and condition at birth. Br Med J. 1956;2:1331–1333. doi: 10.1136/bmj.2.5005.1331. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Nwokoye IC, Uleanya ND, Ibeziako NS, Ikefuna AN, Eze JC, et al. Blood pressure values in healthy term newborns at a tertiary health facility in Enugu, Nigeria. Niger J Clin Pract. 2015;18:584–588. doi: 10.4103/1119-3077.158944. [DOI] [PubMed] [Google Scholar]
  • 40.Mariani G, Dik PB, Ezquer A, Aguirre A, Esteban ML, et al. Pre-ductal and post-ductal O2 saturation in healthy term neonates after birth. J Pediatr. 2007;150:418–421. doi: 10.1016/j.jpeds.2006.12.015. [DOI] [PubMed] [Google Scholar]
  • 41.Pagani M, Lombardi F, Guzzetti S, Rimoldi O, Furlan R, et al. Power spectral analysis of heart rate and arterial pressure variabilities as a marker of sympatho-vagal interaction in man and conscious dog. Circ Res. 1986;59:178–193. doi: 10.1161/01.RES.59.2.178. [DOI] [PubMed] [Google Scholar]
  • 42.Malliani A, Pagani M, Lombardi F, Cerutti S. Cardiovascular neural regulation explored in the frequency domain. Circulation. 1991;84:482–492. doi: 10.1161/01.CIR.84.2.482. [DOI] [PubMed] [Google Scholar]
  • 43.Reyes del Paso GA, Langewitz W, Mulder LJ, van Roon A, Duschek S. The utility of low frequency heart rate variability as an index of sympathetic cardiac tone: a review with emphasis on a reanalysis of previous studies. Psychophysiology. 2013;50:477–487. doi: 10.1111/psyp.12027. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The datasets supporting the conclusions of current study are available from the corresponding author on reasonable request.


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