Relationship between fiducial points on the peripheral and central blood pressure waveforms: rate of rise of the central waveform is a determinant of peripheral systolic blood pressure

Li, Ye; Guilcher, Antoine; Charlton, Peter; Vennin, Samuel; Alastruey, Jordi; Chowienczyk, Phil

doi:10.1152/ajpheart.00818.2020

Cited by 5 publications

(20 citation statements)

References 30 publications

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“…(C)). The relation between increased LV contractility and aortic root pulse wave morphology produced by our model is consistent with Li et al 18 . The variations in ∆q/∆t and ∆p/∆t followed the same trend as those in PP Di (Fig.…”

Section: Waveform Morphologysupporting

confidence: 93%

“…The variations in ∆q/∆t and ∆p/∆t followed the same trend as those in PP Di (Fig. 5 (J)), in agreement with the morphology of the central pressure wave being a major determinant of peripheral SBP and correlating with the rate of increase in early-systolic aortic flow 18,11 . Moreover, the maximum rate of decrease in late-systolic flow at the aortic root, dq/dt| min,AoRt in Fig.…”

Section: Waveform Morphologysupporting

confidence: 79%

“…Greater contractility augmented AR AoRt−Di (Fig. 5 (K)), hence enhancing the physiological effect of PP amplification towards peripheral sites 8,18 . AR AoRt−Di decreased with impaired AV, caused by the greater increase in PP AoRt compared to PP Di from their baseline values.…”

Section: (I) and (J))mentioning

confidence: 93%

“…∆p is the pulse pressure (PP), i.e. the difference between systolic (SBP) and diastolic (DBP) blood 190 pressures 18 . ∆t is the time interval in-between the occurrences of either q min and q max or DBP and SBP.…”

Section: Model Parametersmentioning

confidence: 99%

“…This study also offers valuable insight into in the field of hypertension. Lately, the importance of LV contractility in hypertension has been studied, showing that LV function is a major determinant in blood pressure elevation 12,44,17,11,18 . Our results support this thesis, as PP increased with increasing LV contractility.…”

Section: (I) and (J))mentioning

confidence: 99%

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Assessment of cardiac function by pulse wave analysis. A computational study

Piccioli

Valiani

Alastruey

et al. 2022

Preprint

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The development of methodologies that provide a comprehensive assessment of cardiac function from pulse wave analysis in the systemic circulation could avoid current practice using expensive, invasive and operator-dependent measurement techniques. This work addressed this topic computationally. A cardiovascular model, constituted of a lumped-parameter model of the left part of the heart coupled to a one-dimensional model of the arterial network, was validated using reference pulse waveforms in turn verified by comparison with in vivo measurements. The validation was specifically designed to verify the performance of the model in returning physiological pulse waves for assigned cardiac properties. Successively, a sensitivity analysis was performed to assess the effects of variations in cardiac parameters on central and peripheral pulse waves. Results show that left ventricle contractility, stroke volume, cardiac cycle duration and heart valves impairment are determinants of central waveforms morphology, pulse pressure and its amplification. Contractility of the left atrium has negligible effects on vascular pulse waves. Results also suggest that it may be possible to infer left ventricular dysfunction by analysing the timing of the dicrotic notch. This study suggests which cardiac properties can be extracted from central and peripheral pulse waves to assess cardiac function.

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Section: Waveform Morphologysupporting

confidence: 93%

Section: Waveform Morphologysupporting

confidence: 79%

Section: (I) and (J))mentioning

confidence: 93%

Section: Model Parametersmentioning

confidence: 99%

Section: (I) and (J))mentioning

confidence: 99%

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Assessment of cardiac function by pulse wave analysis. A computational study

Piccioli

Valiani

Alastruey

et al. 2022

Preprint

Self Cite

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The effect of cardiac properties on arterial pulse waves: An in‐silico study

Piccioli

Valiani

Alastruey

et al. 2022

Numer Methods Biomed Eng

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This study investigated the effects of cardiac properties variability on arterial pulse wave morphology using blood flow modelling and pulse wave analysis. A lumped‐parameter model of the left part of the heart was coupled to a one‐dimensional model of the arterial network and validated using reference pulse waveforms in turn verified by comparison with in vivo measurements. A sensitivity analysis was performed to assess the effects of variations in cardiac parameters on central and peripheral pulse waveforms. Results showed that left ventricle contractility, stroke volume, cardiac cycle duration, and heart valves impairment are determinants of central waveforms morphology, pulse pressure and its amplification. Contractility of the left atrium has negligible effects on arterial pulse waves. Results also suggested that it might be possible to infer left ventricular dysfunction by analysing the timing of the dicrotic notch and cardiac function by analysing PPG signals. This study has identified cardiac properties that may be extracted from in vivo central and peripheral pulse waves to assess cardiac function.

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Vascular Aging Entails Arterial Dilatation in Addition to Increased Arterial Stiffness

Schaafsma,

Molanus,

van Rooijen

2024

Journal for Vascular Ultrasound

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Introduction: The increase in arterial blood pressure occurring with aging is considered an important risk factor for end-organ damage in, among others, the brain. How exactly this risk emerges is largely unknown. Methods: We investigated the effect of aging on middle cerebral flow velocity (MCAFV) and noninvasive arterial blood pressure (NIBP) in 105 healthy volunteers aged 18 to 82 years. Both pulsatile signals were analyzed determining the first (Sys1) and second systolic peak (Sys2) and the diastolic flow velocity 560 ms after stroke onset (D560). Results: For NIBP, a linear increase was found with aging for Sys2 and D560 (0.72 and 0.14 mm Hg/year, respectively) but not for Sys1. For MCAFV, a linear decrease was found with aging for all variables, being more rapid for Sys1 than for Sys2 or D560 (−0.94, −0.41, and −0.54 cm/s/year, respectively). Both signals change from Sys1 dominant in young adults to increasingly Sys2 dominant in the elderly. Discussion: That MCAFV decreases with aging, whereas NIBP increases can best be explained by assuming arterial dilatation. Apart from the generally accepted increase in arterial stiffness, arterial dilatation may be an important additional factor in vascular aging: the loss of elastin allows arteries to dilate until restricted by arterial collagen. Conclusion: Normal values collected in this study support protocols for non-invasive monitoring that require a correction for age.

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Relationship between fiducial points on the peripheral and central blood pressure waveforms: rate of rise of the central waveform is a determinant of peripheral systolic blood pressure

Cited by 5 publications

References 30 publications

Assessment of cardiac function by pulse wave analysis. A computational study

Assessment of cardiac function by pulse wave analysis. A computational study

The effect of cardiac properties on arterial pulse waves: An in‐silico study

Vascular Aging Entails Arterial Dilatation in Addition to Increased Arterial Stiffness

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