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PULSE WAVE VELOCITY IN VESSELS
38th Aniversary Panhellenic Congress 70 years of Cardiology, Hellenic Society of Cardiology PULSE WAVE VELOCITY IN VESSELS Theodore G. Papaioannou Associate Professor Biomedical Engineering Unit, First Department of Cardiology Medical School, National & Kapodistrian University of Athens
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Term Stiffness Elasticity Compliance Distensibility Viscoelasticity
Arterial Mechanical Properties Term Stiffness Elasticity Compliance Distensibility Viscoelasticity Strain
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Term Stiffness Elasticity Compliance Distensibility Viscoelasticity
Arterial Mechanical Properties Term Stiffness Elasticity Compliance Distensibility Viscoelasticity Strain
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Moens–Korteweg equation
Adriaan Isebree Moens Dutch physician and physiologist ( ) Diederik Johannes Korteweg Dutch mathematician ( )
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Pulse wave velocity Estimation of regional arterial stiffness
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Pulse wave velocity Estimation of regional arterial stiffness Estimation of local arterial stiffness
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Pulse wave velocity Estimation of regional arterial stiffness Estimation of local arterial stiffness Estimation of total arterial stiffness
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Arterial stiffness Total Methodological & Technological Advances Local
Regional
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Devices and techniques
Complior PoPmetre CAVI SphygmoCor Xcel Vicorder MobiloGraph ABPM
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Sensors / Devices for pulse recording Algorithms for signal processing
Advancements Sensors / Devices for pulse recording Algorithms for signal processing
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Asynchronous, non-simultaneous recordings
Regional arterial stiffness Asynchronous, non-simultaneous recordings Pulse Transit Time (PTT)
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Regional arterial stiffness
Pulse Transit Time (PTT) Max 1st Derivative Max 2nd Derivative Minimum method Tangential method Characteristic Points
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Chiu YC, et al. Am Heart J. 1991; 121: 1460–1470
Foot-to-foot methods for PTT estimation Chiu YC, et al. Am Heart J. 1991; 121: 1460–1470
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Absolute difference in PWV (m/sec)
Foot-to-foot methods for PTT estimation Reproducibility issues … Absolute difference in PWV (m/sec) PWV ≤0.25 m/s 0.50 – 0.99 ≥1.0 1st – 2nd measure 21 (35%) 19 (31.7%) 9 (15%) 11 (18.3%) Papaioannou TG, Protogerou A, et al. J Hum Hypertens. 2012;26(10):
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Foot-to-foot methods for PTT estimation
Tangential Method
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Foot-to-foot methods for PTT estimation
Validation of a novel and existing algorithms for the estimation of pulse transit time: advancing the accuracy in pulse wave velocity measurement. Vardoulis O, Papaioannou TG, Stergiopulos N. Am J Physiol Heart Circ Physiol. 2013; 304:H
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Foot-to-foot methods for PTT estimation
Validation of a novel and existing algorithms for the estimation of pulse transit time: advancing the accuracy in pulse wave velocity measurement. Vardoulis O, Papaioannou TG, Stergiopulos N. Am J Physiol Heart Circ Physiol. 2013; 304:H
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Foot-to-foot methods for PTT estimation
The “Diastole – Patching” method Vardoulis O, Papaioannou TG, Stergiopulos N. Am J Physiol Heart Circ Physiol. 2013; 304:H
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Foot-to-foot methods for PTT estimation
The “Diastole – Patching” method Vardoulis O, Papaioannou TG, Stergiopulos N. Am J Physiol Heart Circ Physiol. 2013; 304:H
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Foot-to-foot methods for PTT estimation
The “Diastole – Patching” method in-vivo Papaioannou TG, Vardoulis O, Protogerou A, et al. Physiol Meas. 2015;36:149-61
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Foot-to-foot methods for PTT estimation
Accuracy and Precision of PWV measurement Clinical value of PWV ???
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“Heart rate variability” 21.837 papers
“c reactive protein” papers
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Measurements issues - Consensus Documents
Expert consensus document on the measurement of aortic stiffness in daily practice using carotid-femoral pulse wave velocity. Van Bortel L, et al. J Hypertens. 2012; 30(3):445-8. Expert consensus document on arterial stiffness: Methodological issues and clinical applications. Laurent S, et al. Eur. Heart J. 2006; 27:
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Normal and Reference Values of PWV
Eur Heart J Oct;31(19):
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PWV and cardiovascular risk
Ben-Shlomo et al, JACC; 2014; 63:
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The main finding of the current study is that aortic stiffness, assessed by measurement of aPWV, can predict future cardiovascular events and mortality, even after accounting for other established cardiovascular risk factors. The predictive value of aPWV was stronger in younger versus older subjects but was not modified by hypertension, smoking, sex, diabetes, or kidney disease. Addition of aPWV into risk prediction models also increased the number of participants who were correctly classified, particularly among younger individuals at intermediate risk, and it improved the overall 10-year classification by 13%. Ben-Shlomo et al, JACC; 2014; 63:
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Guidelines
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Thank you Étienne-Jules Marey (1863)
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