Heart rate variability : reference values and role for clinical profile and mortality in individuals with heart failure

dc.contributor.authorZeid, Silav
dc.contributor.authorBuch, Gregor
dc.contributor.authorVelmeden, David
dc.contributor.authorSöhne, Jakob
dc.contributor.authorSchulz, Andreas
dc.contributor.authorSchuch, Alexander
dc.contributor.authorTröbs, Sven-Oliver
dc.contributor.authorHeidorn, Marc William
dc.contributor.authorMüller, Felix
dc.contributor.authorStrauch, Konstantin
dc.contributor.authorCoboeken, Katrin
dc.contributor.authorLackner, Karl J.
dc.contributor.authorGori, Tommaso
dc.contributor.authorMünzel, Thomas
dc.contributor.authorProchaska, Jürgen H.
dc.contributor.authorWild, Philipp S.
dc.date.accessioned2023-08-28T10:17:33Z
dc.date.available2023-08-28T10:17:33Z
dc.date.issued2023
dc.description.abstractAims 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.en_GB
dc.identifier.doihttp://doi.org/10.25358/openscience-9444
dc.identifier.urihttps://openscience.ub.uni-mainz.de/handle/20.500.12030/9462
dc.language.isoengde
dc.rightsCC-BY-4.0*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subject.ddc610 Medizinde_DE
dc.subject.ddc610 Medical sciencesen_GB
dc.titleHeart rate variability : reference values and role for clinical profile and mortality in individuals with heart failureen_GB
dc.typeZeitschriftenaufsatzde
jgu.journal.titleClinical research in cardiologyde
jgu.journal.volumeVersion of Record (VoR)de
jgu.organisation.departmentFB 04 Medizinde
jgu.organisation.nameJohannes Gutenberg-Universität Mainz
jgu.organisation.number2700
jgu.organisation.placeMainz
jgu.organisation.rorhttps://ror.org/023b0x485
jgu.publisher.doi10.1007/s00392-023-02248-7de
jgu.publisher.issn1861-0692de
jgu.publisher.nameSpringerde
jgu.publisher.placeBerlinde
jgu.publisher.year2023
jgu.rights.accessrightsopenAccess
jgu.subject.ddccode610de
jgu.subject.dfgLebenswissenschaftende
jgu.type.dinitypeArticleen_GB
jgu.type.resourceTextde
jgu.type.versionPublished versionde

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