Pulse Wave Velocities Derived From Cuff Ambulatory Pulse Wave Analysis

Schwartz, Joseph; Feig, Peter U.; Izzo, Joseph L.

doi:10.1161/hypertensionaha.119.12756

Cited by 57 publications

(48 citation statements)

References 41 publications

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“…Recently, criticism of cuff-based, or algorithm-based devices like the Mobil-O-Graph, which has been used in this study, has been expressed. It is being criticized that the estimation of PWV is largely dependent on age and blood pressure, thus arguably providing no extra information 62 , 63 .…”

Section: Discussionmentioning

confidence: 99%

Low muscle strength and increased arterial stiffness go hand in hand

König

Buchmann

Seeland

et al. 2021

Sci Rep

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Low handgrip strength and increased arterial stiffness are both associated with poor health outcomes, but evidence on the relationship between handgrip strength and arterial stiffness is limited. In this cross-sectional analysis of combined baseline datasets from the LipidCardio and Berlin Aging Study II cohorts we aimed to examine whether handgrip strength (HGS) is associated with arterial stiffness. 1511 participants with a median age of 68.56 (IQR 63.13–73.08) years were included. Arterial stiffness was assessed by aortal pulse wave velocity (PWV) with the Mobil-O-Graph device. Handgrip strength was assessed with a handheld dynamometer.The mean HGS was 39.05 ± 9.07 kg in men and 26.20 ± 7.47 kg in women. According to multivariable linear regression analysis per 5 kg decrease in handgrip strength there was a mean increase in PWV of 0.08 m/s after adjustment for the confounders age, sex, coronary artery disease, systolic blood pressure, body mass index, cohort, and smoking. Thus, there was evidence that low handgrip strength and increased arterial stiffness go hand in hand. Arterial stiffness can possibly create the missing link between low handgrip strength and increased cardiovascular morbidity and mortality. Causality and direction of causality remain to be determined.

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Section: Discussionmentioning

confidence: 99%

Low muscle strength and increased arterial stiffness go hand in hand

König

Buchmann

Seeland

et al. 2021

Sci Rep

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“…We are aware that the SphygmoCor and Mobil‐O‐Graph use different methods of measuring arterial stiffness. Furthermore, since the planning and conclusion of our study new data have raised questions regarding the technology of PWV measurements by the Mobil‐O‐Graph and whether the PWV measurements are independent of BP and age (Schwartz et al, ). It could therefore be argued that the results cannot be compared.…”

Section: Discussionmentioning

confidence: 99%

“…Any change in PWV after short‐term treatment is therefore more likely to be caused by a decrease in these parameters, rather than any change in the morphology of the arterial wall. Arterial stiffness and BP are strongly related (Schwartz, Feig, & Izzo, ). In our study, we found a significant decrease in office BP as well as in office PWV measured with the Mobil‐O‐Graph.…”

Section: Discussionmentioning

confidence: 99%

Effect of 12 weeks continuous positive airway pressure on day and night arterial stiffness and blood pressure in patients with type 2 diabetes and obstructive sleep apnea: A randomized controlled trial

Krogager

Banghøj

Poulsen

et al. 2020

Journal of Sleep Research

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The objective of this study was to evaluate the effect of continuous positive airway pressure treatment on pulse wave velocity and blood pressure in patients with type 2 diabetes and obstructive sleep apnea. A randomized controlled study was performed, including 72 patients with type 2 diabetes and newly diagnosed obstructive sleep apnea recruited from outpatient clinics at three Danish hospitals. The patients were randomized to continuous positive airway pressure for 12 weeks or no continuous positive airway pressure. Office measurements were performed at baseline, 4 weeks and 12 weeks. At baseline and 12 weeks, a 24-hr measurement of pulse wave velocity and blood pressure was performed. No significant change was observed in the primary outcome variable of carotid-femoral pulse wave velocity measured with SphygmoCor. With the Mobil-O-Graph, changes in office pulse wave velocity between the groups were significant: 0.3 m/s; 95% confidence interval, 0.1-0.6; p = .02. The group receiving continuous positive airway pressure had a larger decrease in pulse wave velocity than controls but none of the changes within the groups were significant. No significant change in ambulatory blood pressure was observed in any of the two groups after 12 weeks. In conclusion, continuous positive airway pressure treatment for 12 weeks does not significantly reduce pulse wave velocity or blood pressure in patients with type 2 diabetes and obstructive sleep apnea. | 7 of 11 KROGAGER Et Al.

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“…A possible explanation could be a high impact of age in the determination of the eaPWV in the algorithm. Recently, the clinical relevance of the eaPWV beyond the impact of age and SBP has been questioned ( Schwartz et al, 2019 ). Despite the known shot-cuts of the oszillometric PWV estimation this method is valid, feasible and easy to apply in the clinical practice.…”

Section: Discussionmentioning

confidence: 99%

Would Oscillometry be Able to Solve the Dilemma of Blood Pressure Independent Pulse Wave Velocity – A Novel Approach Based on Long-Term Pulse Wave Analysis?

et al. 2020

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The utility of pulse wave velocity (PWV) as a surrogate parameter of arterial vessel damage (AVD) beyond the traditional brachial blood pressure (BP) measurement may be questioned as changes in BP are often accompanied by the corresponding changes in PWV. We sought to establish a new way for BP-independent estimation of AVD with PWV. We retrospectively analyzed data from 507 subjects with at least one available 24 h ambulatory BP- and pulse wave analysis, performed with Mobil-O-Graph (I.E.M., Stolberg, Germany). Individual relationship between eaPWV and central systolic BP (cSBP) was analyzed for every 24 h recording. The analysis revealed linear relation between eaPWV and cSBP in all subjects, which is described by equation eaPWV = a ∗ cSBP + b. We termed “a” as PWVslope and “b” as PWVbaseline. All available demographic parameters and clinical data were correlated with eaPWV, PWVslope and PWVbaseline. 108 subjects had repeated 24 h recordings. Mean age was 60.7 years and 48.7% were female. 92.5% had hypertension, 22.9% were smoker, 20.5% had diabetes mellitus and 29.6% eGFR < 60 ml/min/1,73 m 2 . Direct correlation was observed between age, SBP and eaPWV, while diastolic BP (DBP) and eGFR correlated inversely with eaPWV. PWVbaseline correlated directly with age and inversely with DBP, while PWVslope didn’t correlate with any inputted parameter. Using simple mathematical approach by plotting eaPWV and cSBP values obtained during ABPM, it is possible to visualize unique course of individual PWV related to BP. Using PWVslope and PWVbaseline as novel parameters could be a feasible way to approach BP-independent PWV, though their clinical relevance should be tested in future studies. Our data underline the importance of BP-independent expression of PWV, when we use it as a clinical surrogate parameter for the vascular damage.

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Pulse Wave Velocities Derived From Cuff Ambulatory Pulse Wave Analysis

Cited by 57 publications

References 41 publications

Low muscle strength and increased arterial stiffness go hand in hand

Low muscle strength and increased arterial stiffness go hand in hand

Effect of 12 weeks continuous positive airway pressure on day and night arterial stiffness and blood pressure in patients with type 2 diabetes and obstructive sleep apnea: A randomized controlled trial

Would Oscillometry be Able to Solve the Dilemma of Blood Pressure Independent Pulse Wave Velocity – A Novel Approach Based on Long-Term Pulse Wave Analysis?

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