scholarly journals Acute effects of ultrafiltration on aortic mechanical properties determined by measurement of pulse wave velocity and pulse propagation time in hemodialysis patients

2015 ◽  
Vol 15 (4) ◽  
pp. 313-317 ◽  
Author(s):  
Banu Sahin Yildiz ◽  
Alparslan Sahin ◽  
Nazire Baskurt Aladag ◽  
Gulgun Arslan ◽  
Hakan Kaptanogullari ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Pulse Wave Velocity ◽  
Wave Velocity ◽  
Pulse Propagation ◽  
Pulse Wave ◽  
Hemodialysis Patients ◽  
Propagation Time ◽  
Acute Effects

05.03 OSTEOPROTEGERIN IS RELATED TO CAROTID-FEMORAL PULSE WAVE VELOCITY AND SURVIVAL IN HEMODIALYSIS PATIENTS

2007 ◽  
Vol 1 (2) ◽  
pp. 49
Author(s):  
J. Nemcsik ◽  
B.C.S. Fekete ◽  
G. Speer ◽  
G. Bakonyi ◽  
J. Egresits ◽  
...  
Keyword(s):  
Pulse Wave Velocity ◽  
Wave Velocity ◽  
Pulse Wave ◽  
Hemodialysis Patients

An Integrated I2C Sensor Network for Transcatheter Heart Valves

2020 ◽  
Author(s):  
Thomas W. Secord ◽  
Lucas J. Koerner ◽  
Robert J. Kopas
Keyword(s):  
Pulse Wave Velocity ◽  
Sensor Network ◽  
Wave Velocity ◽  
Pulse Wave ◽  
Severe Aortic Stenosis ◽  
Blood Oxygenation ◽  
Circuit Board ◽  
Measurement Unit ◽  
Propagation Time ◽  
Arterial Blood

Abstract Transcathether aortic heart valve replacement (TAVR) is a widespread approach to treating patients with severe aortic stenosis. A TAVR implant is ideally positioned to access numerous clinically relevant signals including arterial blood pressure, pulse wave velocity, electrocardiogram (ECG), patient motion, heart rate, respiration, and blood oxygenation. Unlike medical devices such as pacemakers, TAVR implants are purely mechanical structures with no sensing capabilities. In this work, we address this unmet clinical need by incorporating an Inter-Integrated Circuit (I2C) sensor network within a TAVR stent frame and designing sensor modules that can physically connect to the network at various landing zones. To illustrate this approach, we designed and built a sensor circuit board populated with a commercial inertial measurement unit (IMU) that can detect clinically useful metrics including pulse wave velocity at the aortic root. We use two spatially separated accelerometers to measure pulse wave propagation time with a standard deviation of 140 μs, which translates to an uncertainty of the pulse wave velocity of ±0.2 m/s. The sensor modules connect to a customized stent frame containing the necessary I2C conductors. Our data suggest that a fully instrumented TAVR paradigm is feasible using this frame design and modular sensor approach.

Comparison of 24-hour and Office Pulse Wave Velocity for Prediction of Mortality in Hemodialysis Patients

2019 ◽  
Vol 49 (4) ◽  
pp. 317-327 ◽  
Author(s):  
Julia Matschkal ◽  
Christopher C. Mayer ◽  
Pantelis A. Sarafidis ◽  
Georg Lorenz ◽  
Matthias C. Braunisch ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Pulse Wave Velocity ◽  
Wave Velocity ◽  
Cardiovascular Mortality ◽  
Pulse Wave ◽  
Cox Regression ◽  
Hemodialysis Patients ◽  
Cox Regression Analysis ◽  
Kaplan Meier ◽  
All Cause Mortality

Background: Mortality in hemodialysis patients still remains unacceptably high. Enhanced arterial stiffness is a known cardiovascular risk factor, and pulse wave velocity (PWV) has proven to be a valid parameter to quantify risk. Recent studies showed controversial results regarding the prognostic significance of PWV for mortality in hemodialysis patients, which may be due to methodological issues, such as assessment of PWV in the office setting (Office-PWV). Method: This study cohort contains patients from the “Risk stratification in end-stage renal disease – the ISAR study,” a multicenter prospective longitudinal observatory cohort study. We examined and compared the predictive value of ambulatory 24-hour PWV (24 h-PWV) and Office-PWV on mortality in a total of 344 hemodialysis patients. The endpoints of the study were all-cause and cardiovascular mortality. Survival analysis included Kaplan-Meier estimates and Cox regression analysis. Results: During a follow-up of 36 months, a total of 89 patients died, 35 patients due to cardiovascular cause. Kaplan-Meier estimates for tertiles of 24 h-PWV and Office-PWV were similarly associated with mortality. In univariate Cox regression analysis, 24 h-PWV and Office-PWV were equivalent predictors for all-cause and cardiovascular mortality. After adjustment for common risk factors, only 24 h-PWV remained solely predictive for all-cause mortality (hazard ratio 2.51 [95% CI 1.31–4.81]; p = 0.004). Conclusions: Comparing both measurements, 24 h-PWV is an independent predictor for all-cause-mortality in hemodialysis patients beyond Office-PWV.

scholarly journals Influence of Different Measurement Time Points on Brachial-Ankle Pulse Wave Velocity and Ankle-Brachial Index in Hemodialysis Patients

2007 ◽  
Vol 30 (10) ◽  
pp. 965-970 ◽  
Author(s):  
Ho-Ming SU ◽  
Jer-Ming CHANG ◽  
Feng-Hsien LIN ◽  
Szu-Chia CHEN ◽  
Wen-Chol VOON ◽  
...  
Keyword(s):  
Pulse Wave Velocity ◽  
Wave Velocity ◽  
Pulse Wave ◽  
Ankle Brachial Index ◽  
Hemodialysis Patients ◽  
Measurement Time ◽  
Time Points

scholarly journals Acute Effects Of Sauna Exposure Compared To Aerobic Exercise On Pulse Wave Velocity

2020 ◽  
Vol 52 (7S) ◽  
pp. 1004-1004
Author(s):  
Noah John Erb ◽  
Andrew D. Nelson ◽  
Julia D. Jenkins ◽  
Cory L. Butts
Keyword(s):  
Pulse Wave Velocity ◽  
Aerobic Exercise ◽  
Wave Velocity ◽  
Pulse Wave ◽  
Acute Effects

scholarly journals Evaluation of arterial stiffness in hemodialysis patients by increased pulse wave velocity during noradrenaline load

2004 ◽  
Vol 37 (8) ◽  
pp. 1639-1643
Author(s):  
Jun Shiota ◽  
Koji Ito ◽  
Yuji Nakamura ◽  
Masaharu Katae ◽  
Hideaki Tomita ◽  
...  
Keyword(s):  
Arterial Stiffness ◽  
Pulse Wave Velocity ◽  
Wave Velocity ◽  
Pulse Wave ◽  
Hemodialysis Patients
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