Heart rate dependence of aortic pulse wave velocity at different arterial pressures in rats

Isabella Tan, Mark Butlin, Ying Yi Liu, Keith Ng, Alberto P. Avolio*

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    74 Citations (Scopus)

    Abstract

    Arterial stiffness, as measured by aortic pulse wave velocity (PWV), is an independent marker of cardiovascular disease and events in both healthy and diseased populations. Although some cardiovascular risk factors, such as age and blood pressure, show a strong association with PWV, the association between heart rate (HR) and PWV is not firmly established. Furthermore, this association has not been investigated at different arterial blood pressures. To study effects of HR on aortic PWV at different mean arterial pressures (MAPs), adult (12 weeks; n=7), male, anesthetized Sprague-Dawley rats were randomly paced at HRs of between 300 and 450 bpm, at 50-bpm steps. At each pacing step, aortic PWV was measured across a physiological MAP range of 60 to 150 mmHg by infusing sodium nitroprusside and phenylephrine. When compared at the same MAP, increases in HR resulted in significant increases in PWV at all of the MAPs >80 mmHg (ANOVA, P<0.05), with the greatest significant change of 6.03±0.93% observed in the range 110 to 130 mmHg. The positive significant association between HR and PWV remained when PWV was adjusted for MAP (ANOVA, P<0.001). These results indicate that HR dependency of PWV is different at higher pressures than at lower pressures and that HR may be a confounding factor that should be taken into consideration when performing analysis based on PWV measurements.

    Original languageEnglish
    Pages (from-to)528-533
    Number of pages6
    JournalHypertension
    Volume60
    Issue number2
    DOIs
    Publication statusPublished - Aug 2012

    Fingerprint

    Dive into the research topics of 'Heart rate dependence of aortic pulse wave velocity at different arterial pressures in rats'. Together they form a unique fingerprint.

    Cite this