Abstract
Purpose: This study evaluated the relationship between HRV and echocardiography indices of cardiac function. Methods: Healthy individuals (N = 30) aged 33 ± 10 years old, underwent short‐term resting HRV assessment and transthoracic echocardiography with speckle tracking analysis. Time domain ‐ (i.e. R‐R interval, root mean square of successive RR interval difference (RMSSD), standard deviation of normal RR intervals (SDNN) and frequency domain‐measures of HRV (i.e. high‐frequency power (HF), low‐frequency power (LF), high‐frequency normalised (HFnorm) and low‐frequency normalised (LFnorm)). Echocardiography indices of cardiac function included; Left ventricular ejection fraction (LVEF), left‐ and right‐ventricular global longitudinal strain (LV‐GLS, and RV GLS), left atrial strain: left atrial reservoir (LAres), left atrial conduit (LAcon) and left atrial contraction (LACT). Results: The mean values for HRV time‐domain measures were: R‐R (991 ± 176 ms), SDNN (50.9 ± 21.5 ms), and RMSSD (46.8 ± 29.4 ms); and frequency‐domain: LF (727 ± 606 ms2), HF (415 ± 35 ms2), LFnorm (56 ± 19.4) and HFnorm (36.5 ± 18.8). Mean values for indices of cardiac function were LVEF (59.9% ± 2.8%), LV‐GLS (19.2% ± 1.4%), RV‐GLS (21.7% ± 2.7%), LAres (36.8% ± 6.99%), LAcon (26.2% ± 6.95%) and LACT (12.3% ± 3.56%). There was a significant negative relationship between HF and LV‐GLS (r = −0.47, p = 0.01) and RMSSD and LVEF (r = −0.39, p = 0.03) respectively. Conclusion: Heart rate variability measures such as high frequency power and RMSSD are associated with left ventricle systolic function in healthy individuals.
Original language | English |
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Journal | Clinical Physiology and Functional Imaging |
Early online date | 5 Nov 2024 |
DOIs | |
Publication status | Published - 17 Dec 2024 |
Data Availability Statement
All data will be available to all authors upon reasonable request.Acknowledgements
The authors thank all the participants who took part in this research. Thank you to all Coventry University laboratory team and Atrium Health team. This work was funded by the Coventry University PhD studentship awarded to MR. DGJ and NCO are supported by the European Horizon 2020 Research and Innovation Programme under grant agreement number 952603. The design of the study, data collection, analyses, interpretation of data, and drafting of the manuscript do not reflect the views and opinions of the funders.Funding
The authors thank all the participants who took part in this research. Thank you to all Coventry University laboratory team and Atrium Health team. This work was funded by the Coventry University PhD studentship awarded to MR. DGJ and NCO are supported by the European Horizon 2020 Research and Innovation Programme under grant agreement number 952603. The design of the study, data collection, analyses, interpretation of data, and drafting of the manuscript do not reflect the views and opinions of the funders.
Funders | Funder number |
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European Horizon 2020 Research and Innovation Programme | 952603 |
Keywords
- echocardiography
- heart rate variability
- speckle tracking echocardiography
ASJC Scopus subject areas
- Physiology
- Physiology (medical)