Abstract
Abstract
Hamm, Wolfgang, Lukas von Stülpnagel, Mathias Klemm, Monika Baylacher, Konstantinos D. Rizas, Axel Bauer, and Stefan Brunner. Deceleration capacity of heart rate after acute altitude exposure. High Alt Med Biol 19:299–302, 2018.
Background:
The autonomic nervous system plays a crucial role in adaptive changes after high-altitude exposure. Deceleration capacity (DC) of heart rate is an advanced marker of heart rate variability (HRV) that predominantly reflects the vagal activity of the cardiac autonomic nervous system. The impact of high-altitude exposure on DC has not been investigated yet.
Methods:
In eight healthy individuals we performed a high-resolution digital 30-min electrocardiography in Frank leads configuration at baseline (521 m altitude), immediately after ascent to the Environmental Research Station Schneefernerhaus (UFS) at Zugspitze (2650 m altitude) and after a sojourn of 24 hours at this altitude. DC of heart rate was assessed using customized software. In addition, standard parameters of HRV were assessed.
Results:
DC decreased significantly from 10.2 ± 0.8 ms to 8.9 ± 1.0 ms (p < 0.05) after acute altitude exposure. After a sojourn of 24 hours at high altitude, DC remained low at 8.6 ± 1.2 ms. There were no significant changes in standard parameters of HRV.
Conclusion:
Our findings show for the first time a decrease of DC of heart rate providing a novel insight into the dysbalance of autonomic nervous system at high altitude.
Introduction
T
Deceleration capacity (DC) of heart rate is an advanced and robust marker of HRV that is considered to predominantly reflect the vagal activity of the cardiac autonomic nervous system. DC is an integral measure of all deceleration-related oscillations of heart rate, including regulations in the very low-frequency, low-frequency (LF), and high-frequency (HF) bands, depending on the recording time (Bauer et al., 2006a; Rizas et al., 2017). In previous studies, the prognostic value of impaired DC in predicting late mortality after myocardial infarction exceeded that of abnormal standard measures of HRV (Bauer et al., 2006a; Rizas et al., 2017).
In this study, we aimed to investigate alterations of DC after altitude exposure and to compare the results with standard measures of HRV.
Methods
Study population and study procedures
Eight healthy individuals (six males; two females) aged 34.5 ± 2.5 years were included in the study. All individuals were nonsmokers, and were not taking any medication. All individuals abstained from caffeine for at least 24 hours before electrocardiography (ECG) recordings. None of the individuals had a history of cardiovascular, cerebrovascular, or respiratory diseases. All study subjects provided written informed consent. The study protocol was approved by the local ethics committee. In all individuals, a high-resolution digital 30-min ECG was performed in Frank leads configuration under standardized conditions in supine and resting position. The orthogonal Frank XYZ leads are a three-lead ECG that is best suited for three-dimensional (3D) visualization and computer analysis. ECG recordings were done with the long-term ECG recorder Schiller medilog® AR4plus (Schiller AG, Switzerland). Baseline recordings were done in Munich (521 m altitude) in the morning, 3 hours before the ascent. Further recordings were performed in the Environmental Research Station Schneefernerhaus (UFS) at Zugspitze (2650 m altitude) immediately after the ascent by cogwheel train (45 minutes run) (T1) and after a sojourn of 24 hours in the UFS (T2). In addition to ECG recordings, peripheral oxygen saturation (SpO2) was measured at the same time points.
Assessment of DC and HRV parameters
ECG raw signals were preprocessed by an experienced technician. Heart rate, DC, and standard parameters of HRV were assessed according to previously published technologies using customized software (Bauer et al., 2006a). DC is based on a novel mathematical signal analysis method (phase-rectified signal averaging, PRSA), which transforms complex time series (i.e., heart rate recordings) in a significantly shorter signal. To calculate DC in a first step, heartbeat intervals longer than the preceding interval are defined as decelerating anchors. In a second step, segments around anchors are defined, aligned at the anchors (phase rectification) and averaged (signal averaging) to obtain PRSA-signal. The central part of the PRSA signal is quantified by wavelet analysis to obtain the numerical measure of DC (Fig. 1A, B). Using short-term recordings (30 minutes), DC ≤2.5 ms is considered to be abnormal as it indicates increased mortality risk in postinfarction patients (Rizas et al., 2017).

Typical phase-rectified signals
The following standard measures of HRV were assessed: standard deviation of all NN intervals; estimate of overall HRV, the square root of the mean of the sum of the squares of differences between adjacent NN intervals; estimate of short-term components of HRV, and HRV index (total number of all NN intervals/maximum of the sample density distribution; estimate of overall HRV). As spectral components, we calculated LF and HF components and their ratio (LF/HF) from ECG recordings.
Assessment of SpO2
SpO2 was assessed in all study subjects at baseline (521 m altitude), immediately after ascent to the UFS (2650 m altitude), and after a sojourn of 24 hours in the UFS. SpO2 was measured using a pulse oximeter (Radical-7; Masimo, USA).
Statistical analysis
Results are expressed in mean ± standard error of mean. For statistical testing, we used the Wilcoxon signed-rank test. Values of p < 0.05 were considered statistically significant.
Results and Discussion
DC at baseline was 10.2 ± 0.8 ms and decreased significantly to 8.9 ± 1.0 ms (p < 0.05) after acute altitude exposure. After a sojourn of 24 hours in the high-altitude environment, DC remained low at 8.6 ± 3.4 ms (Fig. 1). This significant decrease of DC levels after acute altitude exposure is consistent with an acute withdrawal of vagal activity. The decrease of vagal activity contributes to the dysbalance of the cardiac autonomous nervous system that has been described previously (Kanai et al., 2001).
None of the individuals had a DC ≤2.5 ms that is considered as high risk in patients after myocardial infarction (Bauer et al., 2006a). In one study subject, DC decreased <4.5 ms after altitude exposure, a measure considered as intermediate risk in patients after myocardial infarction if it would persist >24 hours (Bauer et al., 2006a; Rizas et al., 2017). However, the clinical impact of these threshold values in healthy individuals has not been investigated yet. In our study, the individual with a DC <4.5 ms showed symptoms of AMS. Therefore, the DC measure may serve as an early indicator of AMS. Whereas the sensitivity and specificity of low DC levels for indicating AMS have to be analyzed in studies of larger cohorts.
Of note, there was no significant change of standard HRV parameters after altitude exposure in our study (Table 1). In addition, DC levels did not correlate with HRV parameters. These findings suggest that DC may be more sensitive than standard HRV parameters to detect a dysbalance of the autonomous nerve system at high altitude.
HF, high frequency; HRV, heart rate variability; LF, low frequency; n.s., not significant; RMSSD, root mean square of successive differences; SDNN, standard deviation of NN intervals; T1, immediately after high-altitude exposure; T2, after a sojourn of 24 hours in high altitude.
One of the major advantages of DC over standard HRV measures is its robustness against artifacts and noise (Bauer et al., 2006b; Eick et al., 2015). If future studies could confirm the predictive value of DC in identifying beginning AMS, the technology of DC assessment might be particularly useful for implementation in wearables or smartphones.
In parallel to DC changes, SpO2 decreased significantly from 97.8 ± 1.0% to 92.0 ± 1.8% (p < 0.01) but increased to 94.5 ± 1.4% 24 hours thereafter. Heart rate increased slightly immediately after altitude exposure, and further increased with significance compared with baseline after 24 hours (Fig. 2). These effects are well known as physiologic responses to hypoxic environment (Bartsch and Gibbs, 2007). A further response to hypoxia is an increase of respiratory rate. In turn, Wang et al. (2015, 2016) could show that the respiratory rate influences DC levels, and that DC levels correlate with HRV parameters. In our study, we did not detect a correlation of DC levels with standard HRV parameters, neither at baseline under normoxic conditions nor after altitude exposure under hypoxic conditions. We cannot exclude an influence of respiratory rate on DC levels, since we did not assess respiratory rate in our study subjects.

Future studies are necessary to confirm our findings in a larger cohort and in additional altitude levels (>3000 m). Furthermore, future studies may investigate whether altitude-induced DC changes could predict AMS.
To the best of our knowledge, the results of this pilot study show for the first time a decrease of DC of heart rate, providing a novel insight into the dysbalance of autonomic nervous system in high altitude.
Footnotes
Acknowledgments
This study was funded by institutional resources. We want to thank G. Bueschges for excellent technical support.
Author Disclosure Statement
No competing financial interests exist.
