scholarly journals The dose–response effects of terbutaline on the variability, approximate entropy and fractal dimension of heart rate and blood pressure

1998 ◽  
Vol 45 (3) ◽  
pp. 277-285 ◽  
Author(s):  
Tuomas T. Jartti ◽  
Tom A. Kuusela ◽  
Timo J. Kaila ◽  
Kari U. O. Tahvanainen ◽  
Ilkka A. T. Välimäki
2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Bastian Brune ◽  
Johannes Korth ◽  
Sebastian Dolff ◽  
Benjamin Wilde ◽  
Winfried Siffert ◽  
...  

Abstract Background and Aims Arterial hypertension is one of the most common diseases of the cardiovascular system worldwide and is still the cause of most deaths in Germany. Data on interactions of the endothelin-system with the renin-angiotensin- and the sympathoadrenergic system in the regulation of systemic hemodynamics in humans are lacking. In our present investigation we study the effects of Endothelin A-, Alpha1- and Angiotensin II-type-1-receptor antagonization on the systemic pressor effects of intravenous Endothelin-1-application in young, healthy men. In addition, we analyzed the effects of the genetic variations of the GNB3 C825T-polymorphism on hemodynamic changes. GNB3 825CT/TT-allele-carriers are considered to have a higher risk for multiple diseases with structural, vascular degeneration, such as arterial hypertension, diabetes mellitus and obesity. Method 21 healthy male volunteers were included in this double- blind, randomized, placebo-controlled cross-over study and were studied on four days. Endothelin-1 (ET-1) (0.5, 1, 2.5, 5 ng/kg/min for 20 min each) was given intravenous 2.0 hours after oral application of either placebo or Doxazosin, 3.5 hours after oral application of Candesartan (Candesartan 8 mg) or in the presence of a continuous infusion of the ET-A-selective antagonist BQ123 (60 μg/min). Blood pressure (BP) and heart rate (HR) were recorded and total peripheral resistance (TPR) was measured using impedance cardiography. ET-1-dose-response curves were analyzed with ANOVA. Data are presented as mean ± SD. Since we suspected an effect of the GNB3 C825T-polymorphism we divided the overall collective into 2 sub-collectives according to the GNB3 C825T-genotypes (n = 21, GNB3 825CC: n = 10, GNB3 825CT/TT: n = 11). Our analyses considered the overall collective and compared the sub-collectives intraday and interday. Results ET-1 increased systolic blood pressure (SBD) (p ≤ 0,01), diastolic blood pressure (DBD) and mean arterial pressure (MBP) as well as total peripheral resistance (TPR) (each p ≤ 0,001) with decreasing heart rate (HR5) (p ≤ 0,05). Elevation of blood pressure existed in both sub-collectives (GNB3 825CC: SBD & MBD: p ≤ 0,01, DBP & TPR: p ≤ 0,05, GNB3 825CT/TT: DBD, MBD & TPR: p ≤ 0,01, SBP p ≤ 0,05). Antagonization of ETA-receptors reversed the effect in the overall collective as well as in the sub-collectives. Both, Doxazosin, as well as Candesartan led to a decrease in blood pressure, however, dose-response relationship was influenced more by doxazosin (DBD: p ≤ 0,001, MBD: p ≤ 0,01) than by candesartan (all values: p > 0,05). For both drugs, blood pressure and TPR remained elevated under maximum ET-1-application compared to baseline measurement. Blood pressure dependent heart rate changes were observed in the overall collective and in GNB3 825CC-allele-carriers under sole ET-1-therapy (p ≤ 0.05) (Fig. 1). Candesartan reversed the effect of ET-1 on the sub-collectives (p > 0.05). GNB3 825CT/TT-allele-carriers showed no reduction in heart rate under ET-1-application, but with accompanying candesartan therapy (p ≤ 0.01) (Fig. 2). The genotype collectives thus behaved oppositely to the drugs in this respect. Conclusion In summary, ET-1 increased systolic, diastolic and mean arterial blood pressure as well as systemic vascular resistance. Doxazosin, Candesartan and BQ123 led to a decrease in blood pressure. Blood pressure and TPR remained elevated under maximum ET-1 application plus Candesartan or Doxazosin. The heart rate changes of the genotype-separated sub-collectives were opposite when ET-1 was administered compared to ET-1 and Candesartan.


1993 ◽  
Vol 75 (6) ◽  
pp. 2429-2438 ◽  
Author(s):  
V. K. Yeragani ◽  
K. Srinivasan ◽  
S. Vempati ◽  
R. Pohl ◽  
R. Balon

Previous studies suggested that heart rate (HR) time series may be more appropriately analyzed by nonlinear techniques because of the nonlinear nature of these data. In this study, we quantified the complexity of the HR time series, using fractal dimension, a previously described measure developed to study axonal growth, which quantifies the space-filling propensity and convolutedness of a waveform, and compared these results with another recently used measure, approximate entropy. Fractal dimension and approximate entropy of HR time series (unfiltered) correlate highly with each other and also with the high-frequency power (0.2–0.5 Hz) and, hence, appear to reflect vagal modulation of HR variability. These measures were also statistically more consistent and effective than measures of spectral analysis. Fractal dimension of the midfrequency time series of HR (filtered with a pass band of 0.05–0.15 Hz) also appears to be a statistically effective measure of relative sympathetic activity, especially in the standing posture.


1998 ◽  
Vol 95 (3) ◽  
pp. 303-309 ◽  
Author(s):  
Sven-Olof GRANSTAM ◽  
Bengt FELLSTRÖM ◽  
Lars LIND

1.Investigations that assess cardiac autonomic function include non-linear techniques such as fractal dimension and approximate entropy in addition to the common time and frequency domain measures of both heart period and heart rate. This article evaluates the differences in using heart rate versus heart period to estimate fractal dimensions and approximate entropies of these time series. 2.Twenty-four-hour ECG was recorded in 23 normal subjects using Holter records. Time series of heart rate and heart period were analysed using fractal dimensions, approximate entropies and spectral analysis for the quantification of absolute and relative heart period variability in bands of ultra low (< 0.0033 ;Hz), very low (0.0033–0.04 ;Hz), low (0.04–0.15 ;Hz) and high (0.15–0.5 ;Hz) frequency. 3.Linear detrending of the time series did not significantly change the fractal dimension or approximate entropy values. We found significant differences in the analyses using heart rate versus heart period between waking up and sleep conditions for fractal dimensions, approximate entropies and absolute spectral powers, especially for the power in the band of 0.0033–0.5 ;Hz. Log transformation of the data revealed identical fractal dimension values for both heart rate and heart period. Mean heart period correlated significantly better with fractal dimensions and approximate entropies of heart period than did corresponding heart rate measures. 4.Studies using heart period measures should take the effect of mean heart period into account even for the analyses of fractal dimension and approximate entropy. As the sleep–awake differences in fractal dimensions and approximate entropies are different between heart rate and heart period, the results should be interpreted accordingly.


1998 ◽  
Vol 95 (3) ◽  
pp. 295-301 ◽  
Author(s):  
Vikram K. YERAGANI ◽  
E. SOBOLEWSKI ◽  
V. C. JAMPALA ◽  
Jerald KAY ◽  
Suneetha YERAGANI ◽  
...  

1.Investigations that assess cardiac autonomic function include non-linear techniques such as fractal dimension and approximate entropy in addition to the common time and frequency domain measures of both heart period and heart rate. This article evaluates the differences in using heart rate versus heart period to estimate fractal dimensions and approximate entropies of these time series. 2.Twenty-four-hour ECG was recorded in 23 normal subjects using Holter records. Time series of heart rate and heart period were analysed using fractal dimensions, approximate entropies and spectral analysis for the quantification of absolute and relative heart period variability in bands of ultra low (< 0.0033 ;Hz), very low (0.0033–0.04 ;Hz), low (0.04–0.15 ;Hz) and high (0.15–0.5 ;Hz) frequency. 3.Linear detrending of the time series did not significantly change the fractal dimension or approximate entropy values. We found significant differences in the analyses using heart rate versus heart period between waking up and sleep conditions for fractal dimensions, approximate entropies and absolute spectral powers, especially for the power in the band of 0.0033–0.5 ;Hz. Log transformation of the data revealed identical fractal dimension values for both heart rate and heart period. Mean heart period correlated significantly better with fractal dimensions and approximate entropies of heart period than did corresponding heart rate measures. 4.Studies using heart period measures should take the effect of mean heart period into account even for the analyses of fractal dimension and approximate entropy. As the sleep–awake differences in fractal dimensions and approximate entropies are different between heart rate and heart period, the results should be interpreted accordingly.


Author(s):  
Yiming Pang ◽  
Jianjun Jiang ◽  
Kexin Li ◽  
Lailai Yan ◽  
Yanqiu Feng ◽  
...  

Solid fuel combustion is an important source of the release of rare earth elements (REEs) into the ambient environment, resulting in potential adverse effects on human cardiovascular health. Our study aimed to identify reliable exposure biomarkers of REE intake and their potential role in blood pressure change. A total of 24 rats were administered with 14 REE chlorides at four doses (six rats per group). Fur samples were collected both before and after administration. Blood samples were collected after 12 weeks of REE intake. The REE concentrations in rat fur and blood samples were measured by inductively coupled plasma mass spectrometry. For each week, blood pressure, as well as heart rate and pulse pressure, were measured. The linear mixed-effect model was used to analyze the relationship between REE administration dose and blood pressure change. We found that the REE concentration in fur, but not blood, samples exhibited significant dose–response relationships with administration dose. It suggested that hair samples are a more efficient matrix for indicating the exposure level of a population to REEs than blood samples. However, there was no dose–response relationships between the administration dose and blood pressure change of rats, or with heart rate and pulse pressure for the 14 REEs. We also did not find a dose–response relationship between REE administration levels and plasma concentration of 8-hydroxy-2’-deoxyguanosine, as an important DNA oxidative stress damage biomarker. In conclusion, hair samples are more suitable as a sample type to reliably assess exposure to REEs than blood samples, and REEs did not have a direct adverse effect on blood pressure in our rat model.


2020 ◽  
pp. 2150028
Author(s):  
Hamidreza Namazi ◽  
Ondrej Krejcar

One of the crucial areas of pregnancy research is to analyze the pregnancy development. For this purpose, scientists analyze the different conditions of fetuses to understand their development. In this paper, we conducted complexity and information-based analyses on Phonocardiogram (PCG) signals to investigate pregnancy development. We calculated the fractal dimension, approximate entropy, and sample entropy as the measures of complexity and the Shannon entropy as the measure of the information content of signals for 24 fetuses in four ranges of gestational weeks. Based on the obtained results, increasing the gestational age of fetuses is reflected on the increment of the complexity of their PCG signals. We also observed similar findings in the case of the information content of PCG signals. Among all calculated measures, the fractal dimension of PCG signals showed significant variations among different gestational weeks. The method of analysis can be used to evaluate the alterations of other biomedical signals of fetuses (e.g., heart rate) to investigate their development.


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