Alteration of Heart Rate Variability as an Early Predictor of Cardiovascular Events: A Look at Current Evidence

2020 ◽  
Vol 125 (5) ◽  
pp. 831
Author(s):  
Girolamo Manno ◽  
Giuseppina Novo ◽  
Salvatore Novo ◽  
Egle Corrado ◽  
Giuseppe Coppola
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Cardiovascular Events ◽  
Current Evidence ◽  
Early Predictor

Leptinemia, parameters of heart rate variability, and prognosis in patients with essential arterial hypertension with obesity

2014 ◽  
Vol 18 (4 (72)) ◽  
Author(s):  
O. Radchenko ◽  
N. Bek ◽  
V. Potapov
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Essential Hypertension ◽  
Arterial Hypertension ◽  
Cardiovascular Events ◽  
Serum Leptin ◽  
Ventricular Systole ◽  
Essential Arterial Hypertension

An examination of 103 patients with essential hypertension and obesity showed the dependence of autonomic cardioregulation, electrical ventricular systole, and prediction of adverse cardiovascular events on the serum leptin concentration (hyper-, normo – or hypoleptinemia).

scholarly journals Does non-invasive vagus nerve stimulation affect heart rate variability? A living and interactive Bayesian meta-analysis

2021 ◽  
Author(s):  
Vinzent Wolf ◽  
Anne Kühnel ◽  
Vanessa Teckentrup ◽  
Julian Koenig ◽  
Nils B. Kroemer
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Vagus Nerve ◽  
Brain Stimulation ◽  
Nerve Stimulation ◽  
Vagus Nerve Stimulation ◽  
Meta Analysis ◽  
Current Evidence ◽  
Beneficial Effects ◽  
Non Invasive

AbstractNon-invasive brain stimulation techniques, such as transcutaneous auricular vagus nerve stimulation (taVNS), have considerable potential for clinical use. Beneficial effects of taVNS have been demonstrated on symptoms in patients with mental or neurological disorders as well as transdiagnostic dimensions, including mood and motivation. However, since taVNS research is still an emerging field, the underlying neurophysiological processes are not yet fully understood, and the replicability of findings on biomarkers of taVNS effects has been questioned. Here, we perform a living Bayesian random effects meta-analysis to synthesize the current evidence concerning the effects of taVNS on heart rate variability (HRV), a candidate biomarker that has, so far, received most attention in the field. To keep the synthesis of evidence transparent and up to date as new studies are being published, we developed a Shiny web app that regularly incorporates new results and enables users to modify study selection criteria to evaluate the robustness of the inference across potential confounds. Our analysis focuses on 17 single-blind studies comparing taVNS versus sham in healthy participants. These newly synthesized results provide strong evidence for the null hypothesis (g = 0.011, CIshortest = [−0.103, 0.125], BF01 = 25.587), indicating that acute taVNS does not alter HRV compared to sham. To conclude, based on a synthesis of the available evidence to date, there is no support for the hypothesis that HRV is a robust biomarker for acute taVNS. By increasing transparency and timeliness, we believe that the concept of living meta-analyses can lead to transformational benefits in emerging fields such as non-invasive brain stimulation.

scholarly journals Heart Rate Variability: An Old Metric with New Meaning in the Era of Using mHealth technologies for Health and Exercise Training Guidance. Part Two: Prognosis and Training

2018 ◽  
Vol 7 (4) ◽  
pp. 1 ◽  
Author(s):  
Nikhil Singh ◽  
Kegan James Moneghetti ◽  
Jeffrey Wilcox Christle ◽  
David Hadley ◽  
Victor Froelicher ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Exercise Training ◽  
Risk Stratification ◽  
Current Evidence ◽  
Health Technologies ◽  
Exercise Ecg ◽  
Prospective Cohorts ◽  
Available Technology ◽  
And Training

It has been demonstrated that heart rate variability (HRV) is predictive of all-cause and cardiovascular mortality using clinical ECG recordings. This is true for rest, exercise and ambulatory HRV clinical ECG device recordings in prospective cohorts. Recently, there has been a rapid increase in the use of mobile health technologies (mHealth) and commercial wearable fitness devices. Most of these devices use ECG or photo-based plethysmography and both are validated for providing accurate heart rate measurements. This offers the opportunity to make risk information from HRV more widely available. The physiology of HRV and the available technology by which it can be assessed has been summarised in Part 1 of this review. In Part 2 the association between HRV and risk stratification is addressed by reviewing the current evidence from data acquired by resting ECG, exercise ECG and medical ambulatory devices. This is followed by a discussion of the use of HRV to guide the training of athletes and as a part of fitness programmes.

scholarly journals 0461 Blunted Baroreflex Sensitivity and Reduced Morning Parasympathetic Activity in Sleep-Onset Insomnia

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A177-A177
Author(s):  
H Tsai ◽  
T Kuo ◽  
C Yang
Keyword(s):  
Blood Pressure ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Cardiovascular Events ◽  
Blood Pressure Variability ◽  
Baroreflex Sensitivity ◽  
Sleep Onset ◽  
Low Frequency ◽  
Sleep Structure ◽  
Frequency Power

Abstract Introduction Insomnia is a risk factor for hypertension and cardiovascular events, and this association is strongest for sleep-onset insomnia. However, little is known about insomnia on cardiovascular modulation, especially soon after morning awakening, the peak period of time for cardiovascular incidents. This study explored morning cardiovascular function in individuals with sleep-onset insomnia by analysing heart rate variability, blood pressure variability, and baroreflex sensitivity. Methods Sleep structure of the participants (15 good sleepers and 13 individuals with sleep-onset insomnia) was measured by laboratory polysomnography, followed by continuous recordings of the participant’s blood pressure and heart rate for 10 min in the morning. Results When compared to the good sleepers, the insomnia group showed significant reductions in total sleep time, a longer sleep-onset latency, and reduced sleep efficiency. The sleep structure, including durations of sleep stages, numbers of awakenings and arousal index did not differ between the groups. After morning awakening (averaged time: 12.33 ± 10.48 min), the shorter R-R intervals, lower total power, and lower high-frequency power of heart rate variability were observed among individuals with sleep-onset insomnia, compared with good sleepers. Elevated slopes of systolic and diastolic blood pressure, as well as lower baroreflex sensitivity, were also shown in the insomnia group. Indices of sympathetic activity, including low-frequency percentage of heart rate variability or low-frequency power of blood pressure variability, did not differ between the groups. Conclusion Weak vagal activity and blunted baroreflex sensitivity were evident among sleep-onset insomnia. These findings indicate difficulty in initiating sleep, without significant sleep fragmentation, can independently affect morning cardiovascular function. This study provides a possible link between sleep-onset insomnia and risk of cardiovascular events. Support N/A

scholarly journals Heart Rate Variability and Risk of All-Cause Death and Cardiovascular Events in Patients With Cardiovascular Disease: A Meta-Analysis of Cohort Studies

2019 ◽  
Vol 22 (1) ◽  
pp. 45-56 ◽  
Author(s):  
Su-Chen Fang ◽  
Yu-Lin Wu ◽  
Pei-Shan Tsai
Keyword(s):  
Heart Failure ◽  
Cardiovascular Disease ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Cohort Studies ◽  
Cardiovascular Events ◽  
Meta Analysis ◽  
Cochrane Central Register ◽  
Coronary Syndrome ◽  
Artery Disease

Lower heart rate variability (HRV) is associated with a higher risk of cardiovascular events and mortality, although the extent of the association is uncertain. We performed a meta-analysis of cohort studies to elucidate the association between HRV and the risk of all-cause death or cardiovascular events in patients with cardiovascular disease (CVD) during a follow-up of at least 1 year. We searched four databases (PubMed, MEDLINE, Embase, and Cochrane Central Register of Controlled Trials) and extracted the adjusted hazard ratio (HR) from eligible studies. We included 28 cohort studies involving 3,094 participants in the meta-analysis. Results revealed that lower HRV was associated with a higher risk of all-cause death and cardiovascular events; the pooled HRs were 2.12 (95% confidence interval [CI] = [1.64, 2.75]) and 1.46 (95% CI [1.19, 1.77]), respectively. In subgroup analyses, the pooled HR of all-cause death was significant for patients with acute myocardial infarction (AMI) but not for those with heart failure. The pooled HR for cardiovascular events was significant for the subgroup of patients with AMI and acute coronary syndrome but not for those with coronary artery disease and heart failure. Additionally, both time and frequency domains of HRV were significantly associated with risk of all-cause death and cardiovascular events in patients with CVD.

scholarly journals Entropy-Based Measures of Hypnopompic Heart Rate Variability Contribute to the Automatic Prediction of Cardiovascular Events

Entropy ◽  
2020 ◽  
Vol 22 (2) ◽  
pp. 241 ◽  
Author(s):  
Xueya Yan ◽  
Lulu Zhang ◽  
Jinlian Li ◽  
Ding Du ◽  
Fengzhen Hou
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Cardiovascular Events ◽  
Predictive Performance ◽  
Time Domain Analysis ◽  
Domain Analysis ◽  
Short Term ◽  
Cvd Risk ◽  
Term Prediction

Surges in sympathetic activity should be a major contributor to the frequent occurrence of cardiovascular events towards the end of nocturnal sleep. We aimed to investigate whether the analysis of hypnopompic heart rate variability (HRV) could assist in the prediction of cardiovascular disease (CVD). 2217 baseline CVD-free subjects were identified and divided into CVD group and non-CVD group, according to the presence of CVD during a follow-up visit. HRV measures derived from time domain analysis, frequency domain analysis and nonlinear analysis were employed to characterize cardiac functioning. Machine learning models for both long-term and short-term CVD prediction were then constructed, based on hypnopompic HRV metrics and other typical CVD risk factors. CVD was associated with significant alterations in hypnopompic HRV. An accuracy of 81.4% was achieved in short-term prediction of CVD, demonstrating a 10.7% increase compared with long-term prediction. There was a decline of more than 6% in the predictive performance of short-term CVD outcomes without HRV metrics. The complexity of hypnopompic HRV, measured by entropy-based indices, contributed considerably to the prediction and achieved greater importance in the proposed models than conventional HRV measures. Our findings suggest that Hypnopompic HRV assists the prediction of CVD outcomes, especially the occurrence of CVD event within two years.

Influence of vertebral manipulations on the autonomic nervous system

2021 ◽  
pp. 106-120
Author(s):  
J. M. Sebastian Rausell ◽  
A. B. Martinez Garcia ◽  
A. S. Jaume Llinas ◽  
I. Escobio Prieto
Keyword(s):  
Blood Pressure ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Nervous System ◽  
Autonomic Nervous System ◽  
Spinal Manipulation ◽  
Parasympathetic Nervous System ◽  
Clinical Effectiveness ◽  
Current Evidence ◽  
Autonomic Nervous

Introduction. Although its neurophysiological effects have not been fully elucidated, current evidence suggests the clinical effectiveness of spinal manipulation. Different studies suggest that manual therapy induces changes in the autonomic nervous system (ANS). Recent studies showed that mobilization produced a sympatheticexcitatory effect. However, studies using thrust manipulation appeared to be less consistent in their results.Objectives. The main objective of this review was to evaluate whether spinal manipulation induces effects on the ANS. Another objective was to correlate the changes in the measured variables with the activation or inhibition of the sympathetic or parasympathetic nervous system and with the level of spinal manipulation.Materials and methods. We performed a literature search in the following databases: PubMed, PEDro, CINAHL and OVID, using the keywords «Manipulation, spinal» and «Autonomic Nervous System». The PEDro scale was used to assess the methodological quality.Results. Nine studies met the inclusion criteria. Six trials measured cardiovascular function indicators (blood pressure, heart rate, Heart Rate Variability). Three other trials measured the pupil reaction. In most studies, cervical or upper thoracic region was manipulated.Conclusions. Our review does not provide definitive evidence of the effects of spinal manipulation on the ANS. However, most studies observed the existence of autonomic effects by modifying parameters such as blood pressure or Heart Rate Variability after manipulation. Increased parasympathetic activation probably occurs after cervical and lumbar treatment and increased sympathetic activation after dorsal treatment.

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