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Pulse Wave Velocities Derived From Cuff Ambulatory Pulse Wave Analysis.

ABSTRACT: Pulse wave velocity (PWV), a measure of arterial stiffness, is an independent risk factor for cardiovascular morbidity and mortality. We investigated the relationship of ambulatory brachial cuff-based oscillometric PWV (oPWV) to 2 known correlates: age and brachial systolic blood pressure (SBP). In 234 participants in the Masked Hypertension Study, we analyzed 7284 validated hourly ambulatory SBP and oPWV readings using the Mobil-O-Graph monitor, which uses a proprietary pulse wave analysis algorithm to determine oPWV. Carotid-femoral PWV (cfPWV) was also measured. Mixed linear models were developed to estimate oPWV from age and ambulatory SBP. Participants were 34% male, with mean (SD) age 52.8 (9.9) years, SBP 123.8 (18.4) mm?Hg, and oPWV 7.6 (1.3) m/s and cfPWV of 7.7 (1.7) m/s. The relationship of oPWV to age and SBP is given below: [Formula: see text] Age uniquely accounted for an estimated 75% of the total variation of oPWV, whereas SBP uniquely accounted for 20%; these findings were confirmed in an external validation dataset. Together, age and SBP accounted for 99.1% of the total variance of oPWV but (only) 40.2% of the variance of cfPWV. The correlation between oPWV and cfPWV was 0.58 but was only 0.11 after controlling for age and SBP. We conclude that the Mobil-O-Graph's oPWV is nearly completely explained by age and SBP and its relationship to cfPWV is because of their shared associations with age and SBP. Other hemodynamic variables derived from oscillometric pulse wave analysis may be useful and deserve additional scrutiny.

SUBMITTER: Schwartz JE

PROVIDER: S-EPMC6679929 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

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Pulse Wave Velocities Derived From Cuff Ambulatory Pulse Wave Analysis.

Schwartz Joseph E JE Feig Peter U PU Izzo Joseph L JL

Hypertension (Dallas, Tex. : 1979) 20190528 1

Pulse wave velocity (PWV), a measure of arterial stiffness, is an independent risk factor for cardiovascular morbidity and mortality. We investigated the relationship of ambulatory brachial cuff-based oscillometric PWV (oPWV) to 2 known correlates: age and brachial systolic blood pressure (SBP). In 234 participants in the Masked Hypertension Study, we analyzed 7284 validated hourly ambulatory SBP and oPWV readings using the Mobil-O-Graph monitor, which uses a proprietary pulse wave analysis algo ...[more]

PMID: 31132952

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Project description:BackgroundMeasurement of peak velocities is important in the evaluation of heart failure. This study compared the performance of automated 4D flow cardiac MRI (CMR) with traditional transthoracic Doppler echocardiography (TTE) for the measurement of mitral inflow peak diastolic velocities.MethodsPatients with Doppler echocardiography and 4D flow cardiac magnetic resonance data were included retrospectively. An established automated technique was used to segment the left ventricular transvalvular flow using short-axis cine stack of images. Peak mitral E-wave and peak mitral A-wave velocities were automatically derived using in-plane velocity maps of transvalvular flow. Additionally, we checked the agreement between peak mitral E-wave velocity derived by 4D flow CMR and Doppler echocardiography in patients with sinus rhythm and atrial fibrillation (AF) separately.ResultsForty-eight patients were included (median age 69 years, IQR 63 to 76; 46% female). Data were split into three groups according to heart rhythm. The median peak E-wave mitral inflow velocity by automated 4D flow CMR was comparable with Doppler echocardiography in all patients (0.90 ± 0.43 m/s vs 0.94 ± 0.48 m/s, P = 0.132), sinus rhythm-only group (0.88 ± 0.35 m/s vs 0.86 ± 0.38 m/s, P = 0.54) and in AF-only group (1.33 ± 0.56 m/s vs 1.18 ± 0.47 m/s, P = 0.06). Peak A-wave mitral inflow velocity results had no significant difference between Doppler TTE and automated 4D flow CMR (0.81 ± 0.44 m/s vs 0.81 ± 0.53 m/s, P = 0.09) in all patients and sinus rhythm-only groups. Automated 4D flow CMR showed a significant correlation with TTE for measurement of peak E-wave in all patients group (r = 0.73, P < 0.001) and peak A-wave velocities (r = 0.88, P < 0.001). Moreover, there was a significant correlation between automated 4D flow CMR and TTE for peak-E wave velocity in sinus rhythm-only patients (r = 0.68, P < 0.001) and AF-only patients (r = 0.81, P = 0.014). Excellent intra-and inter-observer variability was demonstrated for both parameters.ConclusionAutomated dynamic peak mitral inflow diastolic velocity tracing using 4D flow CMR is comparable to Doppler echocardiography and has excellent repeatability for clinical use. However, 4D flow CMR can potentially underestimate peak velocity in patients with AF.

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Pulse Wave Velocities Derived From Cuff Ambulatory Pulse Wave Analysis.

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Pulse Wave Velocities Derived From Cuff Ambulatory Pulse Wave Analysis.

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