scholarly journals Association between short-term heart rate variability and blood coagulation in patients with breast cancer

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Lingling Wang ◽  
Jingfeng Wang ◽  
Peng Li ◽  
Xiangzhi Wang ◽  
Shuang Wu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Thrombin Time ◽  
Linear Regression Models ◽  
Short Term ◽  
Non Invasive ◽  
Relationship Of ◽  
The Relationship ◽  
Routine Coagulation

AbstractThe purpose of this study was to investigate the relationship between heart rate variability (HRV), a non-invasive tool for evaluating autonomic function, and routine coagulation indices (RCIs) in patients with breast cancer (BC). Forty-six BC patients were enrolled in this study. Blood biochemistry tests were performed to extract RCIs, including prothrombin time (PT), activated partial thromboplastin time (APTT), and thrombin time (TT). Five-minute electrocardiograms were collected for analysis of HRV parameters (SDNN, RMSSD, LF, HF, LF n.u., HF n.u., LF/HF). Multiple linear regression models examined the relationship of HRV parameters with RCIs. RMSSD, LF n.u., HF n.u., LF/HF were significantly associated with PT. Specifically, the value of PT increased by 0.192 ± 0.091 or 0.231 ± 0.088 s, respectively for each 1 standard deviation (SD) increase in RMSSD or HF n.u.; it increased by 0.230 ± 0.088 or 0.215 ± 0.088 s, respectively for each 1 − SD decrease in LF n.u. or ln (LF/HF) (all P < 0.05). RMSSD was significantly associated with APTT, i.e., the value of APTT increased by 1.032 ± 0.470 s for each 1 − SD increase in RMSSD (P < 0.05). HRV parameters were associated with RCIs in patients with BC. These observations suggest that the autonomic nervous system and coagulation indices in BC patients are linked, potentially explaining the reason that they are both associated with the prognosis.

HEART RATE VARIABILITY RELATED TO N95 RESPIRATOR USE IN INTERNS DURING COVID-19 PANDEMIC

2021 ◽  
pp. 69-70
Author(s):  
Pakanati Sujana ◽  
Venkata Mahesh Gandhavalla ◽  
K. Prabhakara Rao
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Low Frequency ◽  
Protective Equipment ◽  
Short Term ◽  
Non Invasive ◽  
Critical Components ◽  
The Individual ◽  
N95 Respirators ◽  
Respiratory Droplets

Introduction: COVID19 is caused by SARS-CoV-2 which is primarily transmitted through respiratory droplets and contact routes. WHO recommended the use of personal protective equipment (PPE) for prevention and N95 respirators are critical components of PPE. Breathing through N95 respirator will impart stress in the individual and that can be assessed by heart rate variability (HRV). HRV measures the variation in time between each heartbeat controlled by autonomic nervous system (ANS), which is a non invasive reliable index to identify the ANS imbalances. Aims And Objectives: This study is aimed at assessing the HRV of Interns working in COVID19 wards using N95 respirators. Methodology: This study included 100 interns in whom short term HRV was recorded using the standard protocol. Lead II of ECG was recorded using AD instruments (ADI) 8channel polygraph and HRV was analysed using Labchart 8pro software. The recordings were taken before and 1hour after wearing N95 respirator. Results: Overall HRV (SDRR) was found to decrease signicantly after wearing N95 respirator for 1hr (p=0.000). Similarly, indices representing the parasympathetic component ( RMSSD and HF ) were also found to decrease signicantly with the use of N95 respirator. Low frequency (LF) power and LF/HF ratio increased signicantly with N95 respirator use (p=0.000). Conclusion: We conclude that using N95 respirator increased sympathetic activity reecting decreased HRV in our subjects Hence we recommend that it is better to change the duty pattern for interns.

scholarly journals The relationship of trauma exposure to heart rate variability during wake and sleep in midlife women

2019 ◽  
Vol 57 (4) ◽  
Author(s):  
Rebecca C. Thurston ◽  
Mary Y. Carson ◽  
Karestan C. Koenen ◽  
Yuefang Chang ◽  
Karen A. Matthews ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Trauma Exposure ◽  
Midlife Women ◽  
Relationship Of ◽  
The Relationship

scholarly journals THE RELATIONSHIP OF SHORT-TERM MEASURES OF HRV TO HEART RATE AND EXERCISE INTENSITY 795

1997 ◽  
Vol 29 (Supplement) ◽  
pp. 138
Author(s):  
R. W. Thompson ◽  
J. W. Wilkinson ◽  
R. M.T. Laukkanan ◽  
T. Sepp??nen
Keyword(s):  
Heart Rate ◽  
Exercise Intensity ◽  
Short Term ◽  
Relationship Of ◽  
The Relationship

scholarly journals HEART RATE VARIABILITY AS A REFLECTION OF THE TONE OF THE VEGETATIVE NERVOUS SYSTEM OF SURGERY OF TUMORS OF THE REPRODUCTIVE SYSTEM OF WOMEN

2021 ◽  
Vol 2 (71) ◽  
pp. 6-9
Author(s):  
B. Kozhomberdiev ◽  
Ch. Makimbetova
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Nervous System ◽  
Reproductive System ◽  
Heart Rhythm ◽  
Vegetative Nervous System ◽  
Parasympathetic System ◽  
Relationship Of ◽  
The Relationship

The article presents the results of a study of heart rate variability at women after hysterectomy with appendages. There were showed the relationship of the sympathetic and parasympathetic system in the regulation of the heart rhythm. 

Abstract 17063: Sleep Related Breathing Disorders and Heart Rate Variability in Young and Healthy Adults From the General Population

Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Stefanie Aeschbacher ◽  
Matthias Bossard ◽  
Mirco von Rotz ◽  
Tobias Schoen ◽  
Anna Maseli ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Sleep Apnea ◽  
Large Population ◽  
Healthy Adults ◽  
Apnea Hypopnea Index ◽  
Sleep Related Breathing Disorders ◽  
Breathing Disorders ◽  
Relationship Of ◽  
The Relationship

Background: The influence of sleep related breathing disorders on heart rate variability (HRV), a measure of autonomic nervous function, is not well studied. We therefore assessed the relationship of the Apnea-Hypopnea Index (AHI) and the Oxygen Desaturation Index (ODI) with 24-hour HRV in a large population of young and healthy adults. Methods: Individuals aged between 25-41 years with a body mass index ≤35km/kg2 and without known sleep apnea syndrome (SAS) or cardiovascular disease were included in the population-based GAPP-study. A 24-hour electrocardiogram (ECG) was obtained in every participant, and systematic post-processing performed with a dedicated software. The standard deviation of all normal RR intervals (SDNN) was used as main HRV marker. AHI and ODI were obtained from nighttime pulsoxymetry with nasal airflow measurements. Sleep apnea (SA) was defined as either an AHI ≥5 or an ODI ≥5. Multivariable regression models were constructed to assess the relationship of SDNN with either AHI or ODI and to adjust for a large number of confounders. Results: We included 1266 participants (47% men) with a median age of 35 years. Mean SDNN among men and women was 162 and 148ms (p<0.0001), respectively. The proportion of participants with SA using an AHI- or ODI-based definition was 10 and 11%, respectively. Compared to individuals without SA, the beta coefficient (95% confidence interval (CI)) for SDNN was -7.48 (-14.75; -0.23, p=0.04) among those with an AHI-based SA definition, and was -11.45 (-18.39; -4.52, p=0.001) among those with an ODI-based SA definition. A highly significant inverse trend across different categories of AHI and ODI was observed, as shown in the Table. Conclusion: Early stages of sleep related breathing disorders are strongly associated with decreasing HRV in young and healthy adults, without evidence of a threshold. These findings suggest a tight link between sleep related breathing disorders and autonomic dysfunction.

Heart Rate and Heart-Rate Variability: An Attempt to Clarify

1968 ◽  
Vol 26 (3_suppl) ◽  
pp. 1047-1053 ◽  
Author(s):  
J. Alan Burdick ◽  
John T. Scarbrough
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Linear Relationship ◽  
Repeated Measurements ◽  
Normal Male ◽  
Resting Heart Rate ◽  
Resting Heart Rate Variability ◽  
Temporal Measures ◽  
Relationship Of ◽  
The Relationship

2 experiments were conducted to investigate a possible relationship of heart rate among and within individuals and to investigate the relationship between HR level and two temporal measures of HR variability. In Exp. 1 records for 18 normal male volunteers yielded a linear relationship between the autocorrelation and HR level which was confirmed by the data collected in Exp. 2, in which repeated measurements from 1 S were taken. Another temporal measure of variability was suggested (CVT) which combined this predictable relationship between Ra and MHR. The autocorrelation had no consistent significant association with any noted behavior or training in Exp. 2, but CVT did seem to relate to behavior. The data do not support the hypothesis that resting heart rate and resting heart-rate variability ( Ra or CVT) are reliable measures of “arousal” by themselves, rather that both are highly affected by conditions usually uncontrolled in experiments. The CVT did not significantly relate to EEG measures of arousal, taken during the wakeful state in Exp. 1.

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