scholarly journals Self-reported and physiological reactions to the third BNT162b2 mRNA COVID-19 (booster) vaccine dose

2021 ◽  
Author(s):  
Merav Mofaz ◽  
Matan Yechezkel ◽  
Grace Guan ◽  
Margaret L. Brandeau ◽  
Tal Patalon ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Booster Dose ◽  
Vaccination Campaign ◽  
Vaccine Dose ◽  
P Value ◽  
Booster Vaccine ◽  
The Third ◽  
Systemic Reactions ◽  
Physiological Reactions

AbstractBackgroundThe rapid rise in hospitalizations associated with the Delta-driven COVID-19 resurgence, and the imminent risk of hospital overcrowding, led the Israeli government to initialize a national third (booster) COVID-19 vaccination campaign in early August 2021, offering the BNT162b2 mRNA vaccine to individuals who received their second dose over five months ago. However, the safety of the third (booster) dose has not been fully established yet.ObjectiveEvaluate the short-term, self-reported and physiological reactions to the third BNT162b2 mRNA COVID-19 (booster) vaccine dose.DesignA prospective observational study, in which participants are equipped with a smartwatch and fill in a daily questionnaire via a dedicated mobile application for a period of 21 days, starting seven days before the vaccination.SettingAn Israel-wide third (booster) vaccination campaign.ParticipantsA group of 1,609 (18+ years of age) recipients of at least one dose of the BNT162b2 vaccine between December 20, 2020, and September 15, 2021, out of a larger cohort of 2,912 prospective study participants. 1,344 of the participants were recipients of the third vaccine dose.MeasurementsDaily self-reported questionnaires regarding local and systemic reactions, mood level, stress level, sport duration, and sleep quality. Heart rate, heart rate variability and blood oxygen saturation level were continuously measured by Garmin Vivosmart 4 smartwatches.ResultsThe extent of systemic reactions reported following the third (booster) dose administration is similar to that reported following the second dose (p-value=0.305) and considerably greater than that reported following the first dose (p-value<0.001). Our analyses of self-reported well-being indicators as well as the objective heart rate and heart rate variability measures recorded by the smartwatches further support this finding. Focusing on the third dose, reactions were more apparent in younger participants (p-value<0.01), in women (p-value<0.001), and in participants with no underlying medical conditions (p-value<0.001). Nevertheless, reported reactions and changes in physiological measures returned to their baseline levels within three days from inoculation with the third dose.LimitationsParticipants may not adequately represent the vaccinated population in Israel and elsewhere.ConclusionOur work further supports the safety of a third COVID-19 BNT162b2 mRNA (booster) vaccine dose from both a subjective and an objective perspective, particularly in individuals 65+ years of age and those with underlying medical conditions.Primary funding sourceEuropean Research Council (ERC) project #949850

Trends in Heart Rate and Heart Rate Variability during Pregnancy and Three Months Postpartum: Continuous Monitoring in a Free-Living Context (Preprint)

2021 ◽  
Author(s):  
Fatemeh Sarhaddi ◽  
Iman Azimi ◽  
Anna Axelin ◽  
Hannakaisa Niela-Vilen ◽  
Pasi Liljeberg ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Pregnant Women ◽  
Time Domain ◽  
Second Trimester ◽  
Third Trimester ◽  
Non Invasive ◽  
The Third ◽  
Invasive Method ◽  
Frequency Power

BACKGROUND Heart rate variability (HRV) is a non-invasive method reflecting autonomic nervous system (ANS) regulations. Altered HRV is associated with adverse mental or physical health complications. ANS also has a central role in physiological adaption during pregnancy causing normal changes in HRV. OBJECTIVE Assessing trends in heart rate (HR) and HRV parameters as a non-invasive method for remote maternal health monitoring during pregnancy and three months postpartum. METHODS Fifty-eight pregnant women were monitored using an Internet-of-Things (IoT)-based remote monitoring system during pregnancy and 3-months postpartum. Pregnant women were asked to continuously wear Gear sport smartwatch to monitor their HR and HRV. In addition, a cross-platform mobile application was utilized for collecting pregnancy-related information. The trends of HR and HRV parameters were extracted using reliable data. We also analyzed the trends of normalized HRV parameters based on HR to remove the effect of HR changes on HRV trends. Finally, we exploited hierarchical linear mixed models to analyze the trends of HR, HRV, and normalized HRV parameters. RESULTS HR increased significantly during the second trimester (P<.001) and decreased significantly during the third trimester (P<.01). Time-domain HRV parameters, average normal interbeat intervals (AVNN), standard deviation of normal interbeat intervals (SDNN), root mean square of the successive difference of normal interbeat intervals (RMSSD), normalized SDNN (nSDNN), and normalized RMSSD (nRMSSD) decreased significantly during the second trimester (P<.001) then increased significantly during the third trimester (P<.01). Some of the frequency domain parameters, low-frequency power (LF), high-frequency power (HF), and normalized HF (nHF) decreased significantly during the second trimester (P<.01), and HF increased significantly during the third trimester (P<.01). In the postpartum period, nRMSSD decreased (P<.05), and the LF to HF ratio (LF/HF) increased significantly (P<.01). CONCLUSIONS Our study showed that HR increased and HRV parameters decreased as the pregnancy proceeded, and the values returned to normal after the delivery. Moreover, our results show that HR started to decrease while time-domain HRV parameters and HF started to increase during the third trimester. Our results also demonstrate the possibility of continuous HRV monitoring in everyday life settings.

scholarly journals Comparison of fetal heart rate variability by symbolic dynamics at the third trimester of pregnancy and low-risk parturition

Heliyon ◽  
2020 ◽  
Vol 6 (3) ◽  
pp. e03485 ◽  
Author(s):  
Cristian Iván Montalvo-Jaramillo ◽  
Adriana Cristina Pliego-Carrillo ◽  
Miguel Ángel Peña-Castillo ◽  
Juan Carlos Echeverría ◽  
Enrique Becerril-Villanueva ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Symbolic Dynamics ◽  
Fetal Heart Rate ◽  
Fetal Heart ◽  
Low Risk ◽  
Third Trimester ◽  
The Third ◽  
Fetal Heart Rate Variability

scholarly journals Biomedical Teleacupuncture between China and Austria Using Heart Rate Variability—Part 2: Patients with Depression

2012 ◽  
Vol 2012 ◽  
pp. 1-5 ◽  
Author(s):  
Gerhard Litscher ◽  
Guangyu Cheng ◽  
Lu Wang ◽  
Weiping Cheng ◽  
Hang Su ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Nervous System ◽  
Autonomic Nervous System ◽  
Frequency Domain ◽  
Chinese Patients ◽  
Clinical Effects ◽  
Autonomic Nervous ◽  
The Third ◽  
Stimulation Period

It has been shown in previous studies that the autonomic nervous system can be affected by acupuncture. Within this study, teleacupuncture between China and Austria is used for quantifying the effects of heart rate (HR) and heart rate variability (HRV) in 33 Chinese patients (27 females, 6 males; mean age ± SD49.5±13.1years; range 22–72 years) suffering from depression. Electrocardiographic signals before, during, and after acupuncture at the acupoint Baihui (GV20) were recorded in Harbin and analyzed in Graz using teleacupuncture. HRV data were analyzed in the time and frequency domain. Mean HR decreased significantly (P<0.05) during and after acupuncture, whereas total HRV increased significantly after the third acupuncture stimulation period (P<0.05) and also 5–10 minutes after (P<0.05) acupuncture. The study shows that HRV could be a useful parameter for quantifying clinical effects of acupuncture on the autonomic nervous system.

scholarly journals Effectiveness of BNT162b2 (Comirnaty, Pfizer-BioNTech) COVID-19 booster vaccine against covid-19 related symptoms in England: test negative case-control study

2021 ◽  
Author(s):  
Nick Andrews ◽  
Julia Stowe ◽  
Freja Kirsebom ◽  
Charlotte Gower ◽  
Mary Ramsay ◽  
...  
Keyword(s):  
Confidence Interval ◽  
Booster Dose ◽  
Secondary Analysis ◽  
Vaccine Dose ◽  
Case Control ◽  
Symptomatic Disease ◽  
Booster Vaccine ◽  
Real World Evidence ◽  
Negative Case ◽  
The Uk

Background In September 2021, the UK Government introduced a booster programme targeting individuals over 50 and those in a clinical risk group. Individuals were offered either a full dose of the BNT162b2 (Comirnaty, Pfizer-BioNTech) vaccine or a half dose of the mRNA-1273 (Spikevax, Moderna) vaccine, irrespective of the vaccine received as the primary course Methods We used a test-negative case-control design to estimate the Vaccine Effectiveness (VE) of the booster dose BNT162b2 (Comirnaty, Pfizer-BioNTech) in those aged over 50 against symptomatic disease in post booster time intervals compared to individuals at least 140 days post a second dose with no booster dose recorded. In a secondary analysis, we also compared to unvaccinated individuals and to the 2 to 6 day period after a booster dose was received. Analyses were stratified by which primary doses had been received and any mixed primary courses were excluded. Results The relative VE estimate in the 14 days after the BNT162b2 (Comirnaty, Pfizer-BioNTech) booster dose, compared to individuals that received a two-dose primary course, was 87.4 (95% confidence interval 84.9-89.4) in those individuals who received two doses ChAdOx1-S (Vaxzevria, AstraZeneca) as a primary course and 84.4 (95% confidence interval 82.8-85.8) in those individuals who received two doses of BNT162b2 (Comirnaty, Pfizer-BioNTech) as a primary course. Using the 2-6 day period post the booster dose as the baseline gave similar results. The absolute VE from 14 days after the booster, using the unvaccinated baseline, was 93.1(95% confidence interval 91.7-94.3) in those with ChAdOx1-S (Vaxzevria, AstraZeneca) as their primary course and 94.0 (93.4-94.6) for BNT162b2 (Comirnaty, Pfizer-BioNTech) as their primary course. Conclusions Our study provides real world evidence of significant increased protection from the booster vaccine dose against symptomatic disease in those aged over 50 year of age irrespective of which primary course was received.

scholarly journals The effect of deep breathing test on heart rate variability in obese and non-obese patients with myocardial infarction

Biomedicine ◽  
2021 ◽  
Vol 41 (1) ◽  
pp. 93-98
Author(s):  
Srinath C. Galag ◽  
R Rajalakshmi ◽  
Nagaraj Desai ◽  
H Basavanagowdappa
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Obese Group ◽  
Total Power ◽  
P Value ◽  
Obese Patients ◽  
Deep Breathing ◽  
Deep Breathing Test

Introduction and Aim:Obesity and metabolic syndrome increases the risk of cardiovascular diseases (CVD).The acute myocardial infarction may be associated with autonomic dysfunction and it may have a bearing on the prognosis. The objective of the study wasto examine the effect of deep breathing test on heart rate variability in obese and non-obese patients with myocardial infarction (MI).   Materials and Methods:The patients with acute myocardial infarction were confirmed by universal definition and treatment was administered. At 12 weeks of follow up, the MI patients were screened and divided into two groups. 30 patients of MI with BMI 25 to 30 kg/m2 formed the obese group.30 patients of MI with BMI 18.5 to 24.9 kg/m2 formed the non-obese group. The baseline ECG was taken for 5 minutes by using Niviqure B3 machine for HRV analysis. Then, deep breathing test (DBT) was performed in a standardized manner.   Results:The two groupswere well matched for the age (53.7±11.5 vs.55.2±9.2years).In the baseline there was a statistically significant decrease in the total power (TP) of the heart i.e., HF plus LF (2178±762ms2 vs2991±771ms2 with a ‘p’ value 0.001) in the obese group when compared to non-obese group. On DBT there was a significant decrease in heart rate (81bpm to 65bpm) in non-obese group. However, in obese group there was no significant decrease in heart rate (79bpm to 72bpm) on DBT.   Conclusion: Accordingly, we concludethat in obese patients with MI there is a reduction in respiratory vagal modulation of heart rate during DBT.  

scholarly journals The Digi-NewB project for preterm infant sepsis risk and maturity analysis

2018 ◽  
Vol 10 (2-3) ◽  
Author(s):  
Alpo Värri ◽  
Antti Kallonen ◽  
Elina Helander ◽  
Andres Ledesma ◽  
Patrick Pladys
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Preterm Infant ◽  
Careful Analysis ◽  
Physiological Signals ◽  
P Value ◽  
Term Infants ◽  
Ecg Signals ◽  
Clinical Observations ◽  
Sepsis Risk

It is known from the literature that the careful analysis of the heart rate variability of a preterm infant can be used as a predictor of sepsis. The Digi-NewB project aims at collecting a database of at least 750 preterm infants including physiological signals, video and clinical observations. These data are used to design a decision support system for the early detection of sepsis and for the evaluation of the infant maturity. The preparation of the data for the exploratory analysis has turned out to be time-consuming. 190 infants have been recorded by March 2018 and of these, the R-R interval analysis of the ECG signals has been completed of 136 infants. The results of the project are still preliminary but seven heart rate variability parameters have been found to be different in preterm and full-term infants with a P value less than 0.01. The video analysis algorithm detecting the presence of personnel or relatives reached 96.8% of sensitivity and 95.1% of specificity.

scholarly journals P936 Early signs of cardiac dysfunction in obesity patients, results of the CARDIOBESE study

2020 ◽  
Vol 21 (Supplement_1) ◽  
Author(s):  
S M Snelder ◽  
L E De Groot - De Laat ◽  
L A Biter ◽  
M Castro Cabezas ◽  
N Pouw ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Cardiovascular Risk ◽  
Standard Deviation ◽  
Cardiovascular Risk Factors ◽  
Cardiac Dysfunction ◽  
P Value ◽  
Early Signs

Abstract Introduction Obesity is becoming a global epidemic. Current knowledge on early signs of cardiac dysfunction in obesity patients is insufficient. The onset of heart failure in obesity patients cannot be fully explained by the presence of traditional cardiovascular risk factors. Purpose To detect early signs of cardiac dysfunction in obesity patients without known cardiovascular disease. Methods The CARDIOBESE-study is a cross-sectional multicentre study of 100 obesity patients scheduled for bariatric surgery (body mass index (BMI) ≥35 kg/m2) without known cardiovascular disease, and 50 age-matched and gender-matched non-obese controls (BMI ≤30 kg/m2). Speckle tracking echocardiography, biomarkers and Holter monitoring were used to identify parameters that are able to show cardiac dysfunction at a very early stage in obesity patients. Results Obesity patients had impaired left ventricular ejection fraction, global longitudinal strain (GLS) and diastolic function parameters (e.g. septal e" velocity, lateral e" velocity, E/e’ and E/A-ratio) as compared to the non-obese controls (Table). C-reactive protein (CRP) and heart rate were increased, whereas heart rate variability (Standard deviation of NN intervals, SDNN) was decreased. Obesity patients were subdivided in patients with impaired (&lt; -17%, n = 56) or normal GLS (n = 36). Comparison between these patients revealed no differences regarding BMI, prevalence of traditional cardiovascular risk factors or CRP value. Nevertheless, patients with abnormal GLS had a higher waist circumference and lower SDNN. Conclusion There is a high prevalence of subclinical cardiac dysfunction as measured by GLS in obesity patients (56%), which appears to be related to abdominal fat and decreased heart rate variability and not to BMI, traditional cardiovascular risk factors or CRP. Non-obese controls (n = 50) Obesity patients (n = 100) p-value Obesity patients with normal GLS (n = 36) Obesity patients with impaired GLS (n = 56) p-value Age (years) 49.2 ± 9.5 47.9 ± 7.6 0.36 47.6 ± 7.1 48.3 ± 7.6 0.68 BMI (kg/m2) 24.9 ± 3.2 42.9 ± 4.1 &lt;0.001 42.7 ± 4.2 42.7 ± 4.1 0.98 Waist circumference (cm) 81.1 ± 10.4 133.1 ± 12.3 &lt;0.001 128.2 ± 11.5 135.2 ± 10.5 0.006 E/A- ratio 1.19 ± 0.26 1.01 ± 0.3 &lt;0.001 1.08 ± 0.2 0.96 ± 0.27 0.048 Septel e" velocity 10.3 ± 9.8 8.1 ± 1.8 0.03 8.2 ± 1.9 7.8 ± 1.7 0.24 E/e" 8.5 ± 2.1 8.9 ± 2.5 0.32 9.5 ± 2.4 8.7 ± 2.5 0.14 CRP (mg/L) 1.9 ± 2.9 8.8 ± 8.8 &lt;0.001 8.5 ± 7.3 9.3 ± 10.1 0.67 SDNN 160.2 ± 35.4 109.4 ± 46.0 &lt;0.001 130.4 ± 48.3 98.9 ± 41.2 0.001 Table: Selection of parameters. Values are means ± SD. SDNN= Standard deviation of NN intervals (heart rate variability)

The Gender Effects of Heart Rate Variability Response during Short-Term Exercise using Stair Stepper from Statistical Analysis

2016 ◽  
Vol 2 (2) ◽  
pp. 359 ◽  
Author(s):  
Nor Aziyatul Izni Mohd Rosli ◽  
Mohd Azizi Abdul Rahman ◽  
Malarvili Balakrishnan ◽  
Takashi Komeda ◽  
Saiful Amri Mazlan ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Nervous System ◽  
Gender Effects ◽  
P Value ◽  
Healthy Male ◽  
Short Term ◽  
Male And Female ◽  
Males And Females ◽  
Female Subjects

This study is aimed to explore the Heart Rate Variability (HRV) response during short-term exercise by stair stepper and to compare the finding between young healthy male and female subjects. The responses were statistically analyzed by applying independent-samples t-test statistical method. The calculation of Coefficient of Variation (CoV (%)) and the slope of the linear regression is used to assess the steadiness of the HRV. Furthermore, the results also demonstrated that female subjects had greater significant p-value of RMSSD feature and significance p-value in a LF feature is greater in male. Thus, the ongoing results demonstrated that males have the sympathetic drive and females have predominant parasympathetic drive using short-term exercise by stepper. Thus, the experiment results indicate the suitability of developing rehabilitation devices in the field of Autonomic Nervous System (ANS), research, control system and rehabilitation enginering, which may help to isolate males and females.

scholarly journals Dietary and Lifestyle Patterns are Associated with Heart Rate Variability

2020 ◽  
Vol 9 (4) ◽  
pp. 1121
Author(s):  
Elena Reginato ◽  
Danila Azzolina ◽  
Franco Folino ◽  
Romina Valentini ◽  
Camilla Bendinelli ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Dietary Patterns ◽  
Multivariable Analysis ◽  
Holter Monitoring ◽  
Additive Models ◽  
P Value ◽  
Inverse Association ◽  
Cross Sectional ◽  
Dietary Recall

Assessment of heart rate variability (HRV) and cardiac ectopic beats is a clinically relevant topic. The present exploratory observational study aimed to inspect the relationships of lifestyle, dietary patterns, and anthropometrics with HRV, premature ventricular complexes (PVCs), and supraventricular premature complexes (SVPCs). A cross-sectional study enrolling subjects undergoing Holter monitoring was performed. Sociodemographic and clinical characteristics, body composition (full-body bio-impedentiometry), dietary patterns (validated food frequency questionnaire and 24 h dietary recall), and quality of life were assessed. Generalized additive models were estimated to evaluate the relationships between outcomes of interest and variables collected. The study enrolled 121 consecutive patients undergoing 24 h Holter monitoring. Upon univariable analysis, HRV was found to have an inverse association with mass of body fat (MBF) (p-value 0.015), while doing physical activity was associated with a significantly higher HRV (p-value 0.036). Upon multivariable analysis, fruit consumption in the 24 h dietary recall was found to be directly associated with HRV (p-value 0.044). The present findings might be useful for improving the management of patients attending cardiac rhythm labs, and to tailor ad hoc prevention strategies (modification of lifestyle and eating habits) based on Holter parameters.

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