dc.contributor.author
Pilz, Niklas
dc.contributor.author
Heinz, Viktor
dc.contributor.author
Ax, Timon
dc.contributor.author
Fesseler, Leon
dc.contributor.author
Patzak, Andreas
dc.contributor.author
Bothe, Tomas Lucca
dc.date.accessioned
2025-07-29T16:00:07Z
dc.date.available
2025-07-29T16:00:07Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/48492
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-48214
dc.description.abstract
Pulse wave velocity (PWV) has been established as a promising biomarker in cardiovascular diagnostics, providing deep insights into vascular health and cardiovascular risk. Defined as the velocity at which the mechanical wave propagates along the arterial wall, PWV represents a useful surrogate marker for arterial vessel stiffness. PWV has garnered clinical attention, particularly in monitoring patients suffering from vascular diseases such as hypertension and diabetes mellitus. Its utility extends to preventive cardiology, aiding in identifying and stratifying cardiovascular risk. Despite the development of various measurement techniques, direct or indirect tonometry, Doppler ultrasound, oscillometric analysis, and magnetic resonance imaging (MRI), methodological variability and lack of standardization lead to inconsistencies in PWV assessment. In addition, PWV can be estimated through surrogate parameters, such as pulse arrival or pulse transit times, although this heterogeneity limits standardization and, therefore, its clinical use. Furthermore, confounding factors, such as variations in sympathetic tone, strongly influence PWV readings, thereby necessitating careful control during assessments. The bidirectional relationship between heart rate variability (HRV) and PWV underscores the interplay between cardiac autonomic function and vascular health, suggesting that alterations in one could directly influence the other. Future research should prioritize the standardization and increase comparability of PWV measurement techniques and explore the complex physiological variables influencing PWV. Integrating multiple physiological parameters such as PWV and HRV into algorithms based on artificial intelligence holds immense promise for advancing personalized vascular health assessments and cardiovascular care.
en
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
pulse wave velocity
en
dc.subject
heart rate variability
en
dc.subject
measurement of pulse wave velocity
en
dc.subject
clinical applications of pulse wave velocity
en
dc.subject
interplay of pulse wave velocity and heart rate variability
en
dc.subject.ddc
600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit::610 Medizin und Gesundheit
dc.title
Pulse Wave Velocity: Methodology, Clinical Applications, and Interplay with Heart Rate Variability
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.articlenumber
266
dcterms.bibliographicCitation.doi
10.31083/j.rcm2507266
dcterms.bibliographicCitation.journaltitle
Reviews in Cardiovascular Medicine
dcterms.bibliographicCitation.number
7
dcterms.bibliographicCitation.originalpublishername
IMR Press
dcterms.bibliographicCitation.volume
25
refubium.affiliation
Charité - Universitätsmedizin Berlin
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.bibliographicCitation.pmid
39139426
dcterms.isPartOf.issn
1530-6550
dcterms.isPartOf.eissn
2153-8174