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Pulse wave velocity

Pulse wave velocity (PWV) is the speed at which the pressure wave generated by the heart's ejection of blood travels along the arterial walls, calculated as the distance between two arterial sites divided by the transit time of the wave between them, and it serves as a primary noninvasive indicator of arterial stiffness.^[1] Physiologically, PWV reflects the elastic properties of the arteries, where increased stiffness—due to aging, hypertension, or atherosclerosis—results in faster wave propagation, while greater elasticity slows it down, thereby linking PWV directly to cardiovascular health and vascular aging.^[2] In clinical practice, PWV is recognized as an independent predictor of cardiovascular events, mortality, and target-organ damage, with values above 10 m/s often signaling significant aortic dysfunction and elevated risk.^[3] Measurement of PWV typically employs noninvasive techniques such as applanation tonometry, oscillometry, or ultrasound to detect pulse arrival times at sites like the carotid and femoral arteries, with the carotid-femoral PWV considered the gold standard for assessing central arterial stiffness.^[2] Emerging methods, including magnetic resonance imaging and wearable devices, expand its accessibility for routine monitoring, though validation against reference standards is essential to ensure accuracy within 1.0–1.5 m/s error margins.^[1] Clinically, PWV aids in risk stratification for conditions like hypertension, diabetes, and chronic kidney disease, guiding therapeutic interventions such as antihypertensive therapy or lipid management to potentially mitigate progression of vascular damage.^[3] Normal PWV values range from 5 to 15 m/s in healthy adults, increasing progressively with age and modifiable risk factors, underscoring its role as a dynamic biomarker in preventive cardiology.^[3]

Fundamentals

Definition and physiological basis

Pulse wave velocity (PWV) is defined as the velocity at which the mechanical pressure wave, generated by the ejection of blood from the left ventricle during systole, propagates along the arterial walls.^[2] This propagation occurs through the distensible arterial tree, where the wave's speed is influenced by the biomechanical properties of the vessel walls.^[3] Physiologically, PWV serves as an indirect marker of vascular health by reflecting the distensibility and elasticity of arteries.^[4] In healthy, elastic arteries, the walls expand and recoil efficiently, slowing the pulse wave; conversely, reduced distensibility due to aging, hypertension, or atherosclerosis increases PWV, indicating stiffer vessels and heightened cardiovascular risk.^[2] This relationship positions PWV as a key indicator of arterial compliance, which is essential for buffering pulsatile blood flow and maintaining organ perfusion.^[5] The concept of PWV originated in 19th-century studies on wave propagation in elastic tubes, with Adriaan I. Moens reporting experimental measurements of arterial wave speed in 1877.^[6] Diederik J. Korteweg followed in 1878 with a theoretical derivation that formalized the dependence of wave velocity on wall elasticity and blood density.^[6] Early clinical recognition emerged in the 20th century, notably through studies by Bramwell and Hill in 1922, which applied PWV measurements to assess human arterial elasticity.^[5]^[7] The arterial pulse waveform observed at any site is a composite of the forward-traveling wave originating from cardiac ejection and reflected waves returning from peripheral sites where arterial impedance changes.^[8] These reflections, arising primarily at arteriolar junctions, augment systolic pressure and contribute to the overall shape of the pulse contour.^[8]

Pulse wave propagation principles

The pulse wave originates as a pressure disturbance from the ejection of blood into the aorta during ventricular systole, propagating through the arterial tree as a mechanical wave along the compliant vessel walls rather than solely through the blood itself.^[2] This propagation occurs at a speed significantly faster than the forward blood flow due to the elastic properties of the arterial walls, which distend and recoil in response to the pressure surge, facilitating wave transmission.^[9] In elastic arteries like the aorta, this elasticity allows the wave to travel efficiently, mimicking the behavior of waves on a flexible tube filled with fluid. The speed of pulse wave propagation is modulated by both the geometry and material characteristics of the arteries. Vessel radius inversely affects wave speed, as narrower arteries promote faster propagation by concentrating the pressure effects, while wall thickness directly influences it, with thicker walls supporting higher velocities due to increased structural rigidity.^[10] Material properties, particularly the elastic modulus of the arterial wall, play a central role; a higher modulus, indicative of reduced distensibility, accelerates the wave by limiting wall deformation and enhancing tension transmission.^[10] Reflected waves arise at peripheral sites where impedance mismatches occur, such as bifurcations or transitions to stiffer vessels, causing portions of the forward wave to bounce back toward the central arteries.^[9] These returning waves superimpose on the incident wave, augmenting systolic pressure in the aorta and peripheral arteries by increasing late-systolic peak pressures, which can elevate cardiac workload.^[11] Importantly, pulse wave velocity (typically 3–10 m/s in human arteries) must be distinguished from mean blood flow velocity (approximately 0.5 m/s in the aorta), as the former represents the speed of pressure transmission along the walls, while the latter reflects the bulk movement of blood, which is orders of magnitude slower.^[12]

Theoretical Foundations

Relationship to arterial stiffness

Pulse wave velocity (PWV) serves as a key indicator of arterial stiffness, where reduced arterial distensibility leads to faster pulse wave propagation and thus higher PWV values. This relationship arises because arterial stiffening, often due to aging, hypertension, or pathological conditions like atherosclerosis, diminishes the elastic properties of the vascular wall, impairing its ability to buffer pulsatile blood flow. In healthy arteries, the elastic recoil during diastole helps maintain steady perfusion; however, as stiffness increases, PWV rises proportionally, reflecting a loss of this compliance.^[13] Biophysically, stiffer arterial walls transmit pressure waves more rapidly because the velocity of wave propagation is inversely related to the square root of arterial distensibility, governed by the material properties of the vessel wall such as collagen content and elastin degradation. For instance, in regions affected by atherosclerosis, where plaque formation alters wall mechanics, local PWV can increase substantially; studies in animal models have shown aortic PWV rising by nearly 40% with progressive atherosclerotic load, highlighting how localized stiffening accelerates wave speed in diseased segments. This faster transmission not only exacerbates pulsatile stress on downstream organs but also perpetuates a cycle of further vascular damage.^[14]^[2] Clinically, PWV provides a non-invasive surrogate for central arterial stiffness, offering prognostic value independent of peripheral vascular resistance, as it primarily reflects conduit artery function rather than small vessel tone. Elevated PWV, such as carotid-femoral PWV exceeding 10 m/s, is associated with heightened cardiovascular risk, including a 15% increase in mortality per 1 m/s increment, making it valuable for risk stratification in conditions like hypertension and end-stage renal disease.^[13]^[2] Despite this strong correlation, PWV is not determined solely by arterial stiffness; factors such as arterial geometry, including vessel diameter and branching, as well as preload conditions like acute changes in blood pressure, can modulate measurements and introduce variability. For example, vascular tone and heart rate variations may alter PWV independently of intrinsic wall properties, underscoring the need for standardized assessment to isolate stiffness effects accurately.^[2]

Key equations for pulse wave velocity

The primary mathematical framework for pulse wave velocity (PWV) derives from models of wave propagation in elastic tubes filled with incompressible fluid, linking PWV to arterial wall properties and blood density. The foundational equation is the Moens-Korteweg equation, which assumes a thin-walled, elastic cylindrical tube under small perturbations. It is expressed as

PWV = \sqrt{\frac{E h}{2 \rho r}},

where E is the Young's modulus of the arterial wall, h is the wall thickness, \rho is the density of blood (approximately 1050 kg/m³), and r is the inner radius of the artery. This equation arises from applying Newton's second law to the fluid motion and Hooke's law to the wall deformation, balancing the inertial forces of the fluid column with the restoring force from wall distension during wave propagation. The derivation considers longitudinal conservation of mass and momentum in the tube, yielding a wave speed analogous to that in a taut string, under assumptions of inviscid fluid, negligible wall inertia, and no tapering or branching. The equation was originally derived by A.I. Moens in 1878 and refined by D.J. Korteweg, building on earlier work by Thomas Young.^[15] An alternative formulation, the Bramwell-Hill equation, relates PWV to the distensibility of the arterial segment rather than direct geometric parameters, providing a more physiologically interpretable link to compliance. It is given by

PWV = \sqrt{\frac{V}{\rho \frac{dV}{dP}}},

where V is the arterial volume, \rho is blood density, and \frac{dV}{dP} is the volume compliance (change in volume per unit change in transmural pressure). This equation derives from isobaric volume elasticity principles, assuming uniform pressure changes across the vessel cross-section and integrating the compliance over the segment length. It equates the kinetic energy of the fluid to the potential energy stored in wall distension, under the assumption that the vessel behaves as a pressurized elastic reservoir with negligible viscous losses. Developed by J.C. Bramwell and A.V. Hill in 1922 through experimental correlations in canine arteries, it complements the Moens-Korteweg equation by emphasizing bulk properties like distensibility, which can be measured via pressure-volume relations. Subsequent modifications address limitations in the basic elastic models, particularly for viscoelastic arterial behavior and wave reflections. For viscoelasticity, which introduces frequency-dependent damping due to the arterial wall's collagen and elastin components, adjustments incorporate a complex modulus in place of the static Young's modulus E, leading to dispersion where PWV varies with wave frequency. J.R. Womersley's 1957 theory extends the Moens-Korteweg framework by modeling the wall as a linear viscoelastic material, yielding a phase velocity that accounts for both elastic storage and viscous dissipation, with corrections on the order of 10-20% for physiological frequencies (1-10 Hz). Similarly, D.H. Bergel's 1961 measurements of dynamic stiffness in excised canine arteries quantified viscoelastic contributions, showing that creep and relaxation effects reduce effective PWV by up to 15% compared to purely elastic predictions. For wave reflections, which arise from arterial branching and tapering, the basic equations assume infinite straight tubes without boundaries; modifications include reflection coefficients in transmission line models, adjusting apparent PWV by subtracting backward wave contributions, as formalized in improved estimation techniques that isolate forward propagation speed with errors reduced to under 5%. These adjustments, often termed extensions of early hemodynamic theories by Otto Frank, better capture in vivo complexities like wave superposition. Both the Moens-Korteweg and Bramwell-Hill equations assume thin-walled elastic tubes with incompressible, inviscid fluid, small-amplitude waves, and no gravitational or longitudinal tethering effects, derivations valid for forward-propagating waves in isolated segments. Empirical validations in animal models, such as isolated canine carotid arteries, demonstrate close agreement, with predicted PWV-pressure relationships matching measurements via regression slopes near 1.0 (e.g., 1.0047) and correlation coefficients exceeding 0.90 in physiological pressure ranges (0-200 mmHg). When applied to the human aorta, these models show good fidelity with measured PWV values of 5-10 m/s, typically incurring errors of 5-10% due to unmodeled viscoelasticity and geometry.^[16]

Physiological and Pathophysiological Variations

Variations across the vascular system

Pulse wave velocity (PWV) exhibits significant variations across different segments of the vascular system, primarily due to differences in arterial wall composition and structure. Elastic arteries, such as the aorta, have lower PWV compared to muscular arteries in the periphery, reflecting their greater distensibility and ability to buffer pulsatile flow. In healthy adults, aortic PWV typically ranges from 5 to 10 m/s, influenced by the high elastin content that allows for expansive recoil during the cardiac cycle.^[17] In contrast, peripheral arteries like the femoral artery demonstrate higher PWV, often increasing to 10-12 m/s, as a result of arterial tapering, reduced elasticity, and progressive stiffening from proximal to distal sites. This gradient arises because muscular arteries possess thicker smooth muscle layers relative to elastin, leading to faster wave propagation and reduced compliance. Carotid-femoral PWV, which spans from the elastic aorta to the muscular femoral artery, integrates these regional differences and serves as a composite measure of central-to-peripheral stiffness.^[18] Pulmonary artery PWV is notably lower, approximately 2-3 m/s, owing to the low-pressure, low-resistance pulmonary circulation and thinner arterial walls adapted for gas exchange rather than high-pressure buffering. This value is roughly half that of systemic elastic arteries, highlighting the functional divergence between pulmonary and systemic vascular beds.^[19] PWV increases progressively from proximal to distal arterial sites with advancing age, as elastin degradation and collagen accumulation stiffen the vessel walls more prominently in peripheral segments. In pathological conditions like diabetes, this gradient is exacerbated; for instance, aortic PWV can be up to 20% higher in diabetic individuals compared to non-diabetics, reflecting accelerated glycation-induced stiffening.^[17] Circadian variations in PWV are modest, with diurnal fluctuations around 5% in healthy young adults, often peaking in the morning due to sympathetic tone and hormonal influences. Postural changes and acute exercise further modulate PWV, with reductions observed during physical activity attributable to peripheral vasodilation and enhanced arterial compliance.^[20]

Influences of blood pressure and other factors

Pulse wave velocity (PWV) exhibits a direct dependence on blood pressure, where acute elevations in mean arterial pressure lead to increased PWV primarily through arterial distension, which alters vessel wall tension and stiffness. Studies in hypertensive patients have demonstrated that a reduction in diastolic pressure of approximately 10 mmHg can decrease PWV by about 1 m/s, highlighting the acute load-dependent nature of this relationship. This pressure sensitivity arises from the nonlinear viscoelastic properties of arterial walls, where higher pressures stretch the elastin fibers, reducing compliance and thereby elevating PWV. In clinical contexts, this dependency necessitates normalization techniques for accurate PWV assessment, as unadjusted measurements may overestimate stiffness in hypertensive states.^[21]^[22] Demographic factors significantly modulate PWV, with age being a primary driver due to progressive arterial remodeling and elastin degradation. After age 40, PWV typically increases by approximately 0.1 m/s per year in the general population, accelerating in the presence of risk factors and contributing to heightened cardiovascular vulnerability in older adults. Sex differences also influence PWV, with males generally exhibiting higher values—around 0.8 m/s greater than females—attributable to larger arterial diameters and hormonal effects on vascular tone, though this gap narrows in advanced age. These variations underscore the importance of age- and sex-specific reference values for interpreting PWV in diverse populations.^[23]^[24] Lifestyle factors and comorbidities further elevate PWV independently of blood pressure. Smoking accelerates arterial stiffening, with chronic smokers showing PWV increases of 1-2 m/s compared to nonsmokers, mediated by endothelial dysfunction and oxidative stress that impair vascular compliance. Obesity contributes an additional 0.5-1 m/s elevation, even after adjusting for hemodynamic factors, through inflammatory pathways and adipokine dysregulation that promote collagen deposition in vessel walls. Similarly, hyperlipidemia augments PWV by 0.5-1 m/s via lipid accumulation and atherogenic changes, independent of pressure effects, as observed in dyslipidemic cohorts where PWV correlates with low-density lipoprotein levels. These modifiable influences highlight PWV's utility as a marker for lifestyle-related vascular risk.^[25]^[26]^[27] Pharmacological interventions targeting the renin-angiotensin system can mitigate PWV elevations by enhancing arterial compliance. Angiotensin-converting enzyme (ACE) inhibitors, such as perindopril and ramipril, reduce PWV by 0.5-1 m/s over several months, an effect that persists beyond blood pressure lowering and stems from reduced vascular smooth muscle tone and remodeling inhibition. Meta-analyses of randomized trials confirm this benefit across hypertensive and high-risk patients, with pooled reductions up to 1.7 m/s versus placebo, emphasizing ACE inhibitors' role in vascular protection. These changes reflect improved endothelial function and decreased wave reflections, supporting their use in managing arterial stiffness.^[28]^[29]

Measurement Methods

Experimental techniques

The two-pressure waveform method is a foundational laboratory technique for measuring pulse wave velocity (PWV), involving simultaneous recording of arterial pressure waveforms at two distant sites, such as the carotid and femoral arteries, using applanation tonometers. The time delay (transit time) between the onset of the waveforms is determined to calculate PWV as the distance divided by this delay. Common approaches for identifying the waveform onset include the foot-to-foot method, which detects the foot as the point of maximal upstroke at the end of diastole, and the intersecting tangents method, which identifies the intersection of tangents drawn to the systolic upstroke and diastolic decay for more precise delineation in the presence of overlapping waves. This method provides high-resolution data suitable for research settings, with tonometers (e.g., Millar Mikro-Tip) calibrated against invasive catheters for fidelity.^[30]^[31] Pressure-diameter or volume methods assess local PWV by quantifying arterial distension in response to pressure changes, often using high-resolution ultrasound echo-tracking to measure diameter variations alongside pressure recordings. Echo-tracking systems, such as the Wall Track or Aloka Alpha 10, capture radiofrequency signals for diameter precision up to 0.01 mm, deriving relative area change (ΔA/A) from systolic-diastolic diameter differences (Ds - Dd). PWV is approximated using the Moens-Korteweg relation as:

\text{PWV} = \sqrt{\frac{\Delta P}{\rho \cdot (\Delta A / A)}}

where ΔP is the pulse pressure (systolic minus diastolic), and ρ is blood density (≈1050 kg/m³); brachial cuff pressure often serves as a surrogate for local pressure. Oscillometric devices, like the Arteriograph, complement this by recording brachial pressure-volume oscillations via plethysmography, estimating PWV from waveform analysis without direct diameter imaging. These techniques enable segment-specific stiffness evaluation in isolated vessel studies or in vivo setups.^[32]^[33] Flow-based techniques utilize Doppler ultrasound to track blood velocity waveforms, calculating PWV from the transit time of flow pulses between sites like the aortic arch and abdominal aorta. Pulsed-wave Doppler probes (e.g., 20 MHz) simultaneously acquire velocity-time integrals at two locations, with PWV derived as distance over transit time, often gated by ECG for synchronization. Alternatively, characteristic impedance (Z_c) is computed from pressure-flow loops via Fourier analysis of harmonics (typically Z_2 to Z_10), yielding PWV = (Z_c * A) / ρ, where A is the cross-sectional area, which reflects wave propagation without distance measurements.^[34] These methods are particularly useful in animal models or for validating pressure-based approaches, though they require precise probe alignment to minimize angle errors.^[35] Validation studies in animal models, such as conscious or anesthetized dogs, confirm the accuracy of these techniques against invasive benchmarks like pressure-tipped catheters in the aorta. For instance, Doppler-derived PWV in canine carotid-femoral paths shows strong correlation (r > 0.9) with catheter measurements, with discrepancies typically within 5% due to factors like catheter size or path estimation. Echo-tracking validations in dog aortas demonstrate reproducibility with coefficients of variation <5%, while limitations include artifacts from wave reflections, which can overestimate PWV by 10-20% in branched vessels, and anesthesia-induced vasodilation altering baseline stiffness. These experiments underscore the methods' reliability for preclinical research, with errors minimized through postmortem distance verification or multi-beat averaging.^[36]^[37]

Clinical assessment approaches

Carotid-femoral pulse wave velocity (cfPWV) serves as the gold standard for non-invasive assessment of central arterial stiffness in clinical settings.^[38] It is typically measured using applanation tonometry, which involves manually applying a tonometer to flatten the carotid and femoral arteries to capture pressure waveforms, or oscillometric cuffs placed at the upper arm and thigh to detect volume changes.^[39] The pulse transit time is determined via foot-to-foot analysis synchronized with an electrocardiogram, while the arterial path length is calculated by subtracting the distance from the suprasternal notch to the carotid site from the suprasternal notch to the femoral site, ensuring accurate correction for the true propagation path.^[40] Regional PWV methods extend assessment to peripheral arteries and are particularly valuable for broader vascular evaluation. Brachial-ankle PWV (baPWV) employs volume plethysmography with oscillometric cuffs on both arms and ankles to simultaneously record pulse waveforms, enabling calculation of transit time across the lower limbs; this approach is widely adopted in Asian clinical practice for routine cardiovascular risk screening due to its simplicity and reproducibility.^[41] Devices such as SphygmoCor facilitate integrated pulse wave analysis, combining tonometry at multiple sites with software for automated waveform processing and PWV derivation, supporting efficient clinic-based measurements.^[42] Emerging technologies enhance accessibility and precision in clinical PWV assessment. Magnetic resonance imaging (MRI), particularly phase-contrast techniques, allows for regional PWV quantification by analyzing blood flow velocity profiles across specific arterial segments, offering detailed insights without surface palpation.^[2] Wearable sensors utilizing optical photoplethysmography (PPG) detect pulse waves via light absorption changes at peripheral sites, with validation trials demonstrating approximately 10% accuracy relative to tonometry-based cfPWV in controlled settings.^[43] Standardization is essential for reliable clinical implementation, as outlined in the 2024 ARTERY Society and American Heart Association recommendations for validation of noninvasive arterial pulse wave velocity measurement devices, which specify accuracy criteria such as errors ≤1.0 m/s (good) or ≤1.5 m/s (acceptable) against reference standards, requirements for novel devices including cuff-based and machine learning-based systems, and enhanced reporting including public data and algorithm disclosure.^[1] Quality control involves assessing waveform quality scores for signal clarity and reproducibility, with intra- and inter-observer coefficients of variation targeted below 10% to ensure consistent results across devices and operators.^[38] These protocols build on experimental validations, confirming non-invasive methods' alignment with laboratory standards.^[44]

Clinical Applications

Interpretation of measurements

Interpretation of pulse wave velocity (PWV) measurements requires consideration of established reference values, which vary primarily with age and mean blood pressure (MBP). In healthy individuals, carotid-femoral PWV (cfPWV) typically remains below 10 m/s for adults aged 30 to 60 years, reflecting normal aortic stiffness; values increase progressively with age, reaching a mean of approximately 10 to 12 m/s by age 70 in populations without cardiovascular risk factors.^[45]^[46] These norms are derived from large cohort analyses, such as the Reference Values for Arterial Stiffness' Collaboration, which reported mean cfPWV values of 6.5 m/s (90th percentile: 9.2 m/s) for ages 30-39 and 8.3 m/s (90th percentile: 12.1 m/s) for ages 50-59 in optimal blood pressure groups.^[45] Ethnic variations influence interpretation, with individuals of African descent exhibiting approximately 1 m/s higher cfPWV compared to those of European descent, even after adjusting for age and blood pressure, potentially due to differences in vascular structure and risk factor prevalence.^[47] To account for individual factors, PWV values are often adjusted by indexing to body height (to normalize propagation distance) or MBP, using cohort-derived formulas such as quadratic regressions for age and linear models for MBP. Percentile charts from large European cohorts provide age- and pressure-specific benchmarks, enabling classification as normal (below 75th percentile) or elevated (above 90th percentile).^[45] Sources of measurement error must be evaluated to ensure reliable interpretation. Acute changes in preload, such as those from hydration status or posture, can transiently alter blood pressure and thus PWV by up to 0.5-1 m/s. Arrhythmias, particularly atrial fibrillation, introduce waveform artifacts that distort transit time calculations, necessitating exclusion or averaging of irregular beats. Reproducibility in clinical settings is generally high, with coefficients of variation of 5-10% for repeat cfPWV measures under standardized conditions, though operator-dependent factors like probe placement can contribute to variability.^[48]^[38] Recent advancements in the 2020s have refined PWV norms through large-scale meta-analyses, particularly for obese populations where baseline stiffness is elevated by 0.5-1.5 m/s compared to non-obese individuals, prompting adjusted reference ranges that incorporate body mass index. Additionally, artificial intelligence-based waveform analysis has improved accuracy in noisy signals, enhancing automated detection of pulse foot points and reducing operator error in diverse clinical cohorts. As of 2025, estimated PWV (ePWV), calculated from age and blood pressure, is increasingly used for accessible screening and risk prediction in clinical settings, including associations with stroke and balance control in older adults.^[49]^[50]^[51]

Prognostic and diagnostic significance

Pulse wave velocity (PWV) serves as a robust prognostic marker for cardiovascular disease (CVD) events, with aortic PWV thresholds above 10 m/s indicating increased risk independent of traditional scoring systems such as the Framingham Risk Score.^[52] In a 2023 individual-participant meta-analysis, PWV exceeding this threshold was associated with hazard ratios of 1.40 to 1.68 for composite CVD events and 1.55 to 1.61 for all-cause mortality across validation cohorts.^[52] Each 1 m/s increase in PWV correlates with approximately a 7-15% higher risk of CVD events, for example a 7% increase in men aged 60 years with no risk factors, underscoring its additive value in risk stratification beyond conventional factors like age and blood pressure.^[1] In diagnostic contexts, PWV functions as an early indicator of hypertension-mediated organ damage (HMOD), reflecting subclinical arterial remodeling before overt clinical manifestations.^[1] Elevated carotid-femoral PWV (>10 m/s) is linked to renal, cardiac, and vascular target organ damage in patients with sustained hypertension, enhancing diagnostic precision when integrated with standard assessments.^[1] For diabetes, PWV provides utility in identifying microvascular complications, such as diabetic kidney disease, where brachial-ankle PWV values above 14 m/s independently predict progression in type 2 diabetes mellitus cohorts.^[53] Therapeutically, PWV monitoring tracks interventions' impact on arterial stiffness, with reductions observed in response to lifestyle and pharmacological strategies. Statin therapy yields modest PWV decreases of approximately 0.5-0.7 m/s over 6-12 months in high-risk adults, correlating with slowed atherosclerosis progression.^[54] Aerobic and resistance exercise programs similarly reduce PWV by 0.5-1 m/s within 6 months, particularly in hypertensive and prehypertensive individuals, supporting its role in evaluating treatment efficacy.^[55] The 2024 European Society of Cardiology (ESC) hypertension guidelines recommend PWV assessment (Class IIb) for refining risk in patients with borderline CVD risk (5-10%) and monitoring resistant hypertension, where PWV normalization predicts fewer events.^[56] Despite these applications, gaps persist in PWV's prognostic utility, including limited long-term outcome data in pediatric populations, where normative references exist but prospective CVD event studies are scarce.^[57] Post-2020, PWV is increasingly incorporated into AI-driven risk models, such as machine learning algorithms estimating PWV from routine clinical data to enhance CVD prediction, though validation in diverse cohorts remains ongoing.^[58]

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State of the Art Review: Brachial-Ankle PWV - PMC - PubMed Central
... PWV is a marker of the stiffness of the large- to medium-sized arteries. Brachial-ankle PWV is measured using a volume-plethysmographic apparatus (form PWV ...
[40]
Large Artery Stiffness Assessment Using SphygmoCor Technology
Even though the SphygmoCor PWV device is considered a standard tool for assessing arterial stiffness, the measurement procedure is not ideal for clinical ...
[41]
Accuracy Evaluation of Carotid-Femoral Pulse Wave Velocity ...
Jul 21, 2022 · To evaluate the accuracy of the smartwatch in estimating carotid-femoral pulse wave velocity (cfPWV). A cohort of gender-matched volunteers ...Missing: trials | Show results with:trials
[42]
ARTERY Society guidelines for validation of non-invasive ...
Mar 31, 2010 · The aim of this statement is to provide guidelines for the process of validating new devices. The focus of the article is aortic pulse wave velocity.
[43]
Standardization of Arterial Stiffness Measurements Make Them ...
Aug 5, 2016 · CAROTID-FEMORAL PULSE WAVE VELOCITY IS THE GOLD STANDARD FOR NONINVASIVE MEASUREMENT OF ARTERIAL STIFFNESS. Arterial stiffness can be ...
[44]
Determinants of pulse wave velocity in healthy people and in the ...
Jun 7, 2010 · Determinants of pulse wave velocity in healthy people and in the presence of cardiovascular risk factors: 'establishing normal and reference ...
[45]
[PDF] 2023 ESH Guidelines for the management of arterial hypertension
>18 m/s. cfPWV (in people 50–60 years). >10 m/s. Carotid atherosclerosis. Plaque. IMT 1.5 mm, or focal increase in thickness 0.5 mm, or 50% of surrounding IMT.
[46]
Ethnicity and Arterial Stiffness - American Heart Association Journals
Apr 2, 2020 · An 1 m/s increase in aortic PWV corresponds to an age-, sex-, and risk factor-adjusted increased risk of 14% and 15% for cardiovascular events ...
[47]
What Is the Smallest Change in Pulse Wave Velocity Measurements ...
Jan 25, 2023 · We show that current PWV estimation guidance recommending 2 + 1 measurements is suboptimal because the PWV range was outside of the 1 m/s threshold for most of ...Missing: hyperlipidemia | Show results with:hyperlipidemia
[48]
Global distributions of age- and sex-related arterial stiffness
We investigated age and sex trajectories, regional differences, and global reference values of arterial stiffness as assessed by pulse wave velocity (PWV).
[49]
Estimating pulse wave velocity from the radial pressure wave using ...
In this work, two machine learning pipelines were proposed to estimate cfPWV from the peripheral pulse wave measured at a single site, the radial pressure wave.Missing: 2020s | Show results with:2020s<|control11|><|separator|>
[50]
Derivation of an Outcome-Driven Threshold for Aortic Pulse Wave ...
Jul 20, 2023 · This individual-participant meta-analysis is aimed at defining, testing calibration, and validating an outcome-driven threshold for PWV, using 2 populations ...
[51]
Association between brachial-ankle pulse wave velocity and ...
The baPWV is strongly associated with microvascular complications of T2DM. The DBP, duration of diabetes, FPG, and BUN were all independent associated factors ...
[52]
Effect of statin therapy on pulse wave velocity: A meta-analysis of ...
In the pooled analysis, statin therapy was associated with a −6.8% (95% C.I.: −11.7 to −1.8) reduction in PWV. There was significant heterogeneity among studies ...<|separator|>
[53]
Effects of exercise on pulse wave velocity in hypertensive and ...
Feb 16, 2025 · Subgroup analysis showed that aerobic exercise (WMD, −1.29, P = 0.0004) significantly improved PWV in hypertensive and prehypertensive patients.
[54]
[PDF] 2024 ESC Guidelines for the management of elevated blood ...
Sep 17, 2024 · The 2024 Guidelines define hypertension as a confirmed office sys- tolic BP ... BP, blood pressure; PWV, pulse wave velocity. aClass of ...
[55]
Reference Values of Pulse Wave Velocity in Healthy Children and ...
Jun 21, 2010 · The aim of this study was to create a reference database and to characterize the factors determining pulse wave velocity in children and teenagers.
[56]
Machine Learning Prediction Model for Carotid‐Femoral Pulse ...
May 26, 2025 · Machine learning prediction model for carotid‐femoral pulse wave velocity in cardiovascular health assessments.Missing: 2020s | Show results with:2020s