Please use this identifier to cite or link to this item:
Heidorn, Marc William
Lackner, Karl J.
Prochaska, Jürgen H.
Wild, Philipp S.
|Title:||Heart rate variability : reference values and role for clinical profile and mortality in individuals with heart failure|
|Online publication date:||28-Aug-2023|
|Year of first publication:||2023|
|Abstract:||Aims To establish reference values and clinically relevant determinants for measures of heart rate variability (HRV) and to assess their relevance for clinical outcome prediction in individuals with heart failure. Methods Data from the MyoVasc study (NCT04064450; N = 3289), a prospective cohort on chronic heart failure with a highly standardized, 5 h examination, and Holter ECG recording were investigated. HRV markers were selected using a systematic literature screen and a data-driven approach. Reference values were determined from a healthy subsample. Clinical determinants of HRV were investigated via multivariable linear regression analyses, while their relationship with mortality was investigated by multivariable Cox regression analyses. Results Holter ECG recordings were available for analysis in 1001 study participants (mean age 64.5 ± 10.5 years; female sex 35.4%). While the most frequently reported HRV markers in literature were from time and frequency domains, the data-driven approach revealed predominantly non-linear HRV measures. Age, sex, dyslipidemia, family history of myocardial infarction or stroke, peripheral artery disease, and heart failure were strongly related to HRV in multivariable models. In a follow-up period of 6.5 years, acceleration capacity [HRperSD 1.53 (95% CI 1.21/1.93), p = 0.0004], deceleration capacity [HRperSD: 0.70 (95% CI 0.55/0.88), p = 0.002], and time lag [HRperSD 1.22 (95% CI 1.03/1.44), p = 0.018] were the strongest predictors of all-cause mortality in individuals with heart failure independently of cardiovascular risk factors, comorbidities, and medication. Conclusion HRV markers are associated with the cardiovascular clinical profile and are strong and independent predictors of survival in heart failure. This underscores clinical relevance and interventional potential for individuals with heart failure. ClinicalTrials.gov identifier NCT04064450.|
610 Medical sciences
|Institution:||Johannes Gutenberg-Universität Mainz|
|Department:||FB 04 Medizin|
|Information on rights of use:||https://creativecommons.org/licenses/by/4.0/|
|Journal:||Clinical research in cardiology|
Version of Record (VoR)
|Appears in collections:||DFG-491381577-H|
Files in This Item:
|heart_rate_variability__refer-20230818131538091.pdf||1.92 MB||Adobe PDF||View/Open|