Literature DB >> 30109991

Pre-ejection period, the reason why the electrocardiogram Q-wave is an unreliable indicator of pulse wave initialization.

Joel Balmer1, Christopher Pretty, Shaun Davidson, Thomas Desaive, Shun Kamoi, Antoine Pironet, Philippe Morimont, Nathalie Janssen, Bernard Lambermont, Geoffrey M Shaw, J Geoffrey Chase.   

Abstract

OBJECTIVE: Pulse wave velocity measurements are an indicator of arterial stiffness and possible cardiovascular dysfunction. It is usually calculated by measuring the pulse transit time (PTT) over a known distance through the arteries. In animal studies, reliable PTT measures can be obtained using two pressure catheters. However, such direct, invasive methods are undesirable in clinical settings. A less invasive alternative measure of PTT is pulse arrival time (PAT), the time between the Q-wave of an electrocardiogram (ECG) and the arrival of the foot of the beats pressure waveform at one pressure catheter. Since the Q-wave signifies the start of ventricular contraction, PAT includes the pre-ejection period (PEP), a time where no blood is ejected. Thus, inter- or intra- subject variation in PEP could result in poor correlation between pulse arrival time (PAT) and the desired pulse transit time (PTT). APPROACH: This study looks at the relationship between PAT and PTT, over a range of common critical care therapies and determines the effect of PEP on PAT as a possible surrogate of PTT in a critical care environment. The analysis uses data from five porcine experiments, where ECG, aortic arch and abdominal aortic pressure were measured simultaneously, over a range of induced hemodynamic conditions.
RESULTS: The resulting correlations of PAT verse PTT varied within pigs and across interventions (r 2  =  0.32-0.69), and across pigs (r 2  =  0.05-0.60). Variability was due to three main causes. First, the interventions themselves effect PEP and PTT differently, second, pig specific response to the interventions, and third, inter- and intra- pig variability in PEP, independent of PTT. SIGNIFICANCE: The overall analysis shows PAT is an unreliable measure of PTT and a poor surrogate under clinical interventions common in a critical care setting, due to intra- and inter- subject variability in PEP.

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Year:  2018        PMID: 30109991     DOI: 10.1088/1361-6579/aada72

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  6 in total

1.  Leveraging the potential of machine learning for assessing vascular ageing: state-of-the-art and future research.

Authors:  Vasiliki Bikia; Terence Fong; Rachel E Climie; Rosa-Maria Bruno; Bernhard Hametner; Christopher Mayer; Dimitrios Terentes-Printzios; Peter H Charlton
Journal:  Eur Heart J Digit Health       Date:  2021-10-18

2.  Pulse transit time estimation of aortic pulse wave velocity and blood pressure using machine learning and simulated training data.

Authors:  Janne M J Huttunen; Leo Kärkkäinen; Harri Lindholm
Journal:  PLoS Comput Biol       Date:  2019-08-15       Impact factor: 4.475

3.  A Comparative Study of Brachial-Ankle Pulse Wave Velocity and Heart-Finger Pulse Wave Velocity in Korean Adults.

Authors:  Jaegeol Cho; Hyun Jae Baek
Journal:  Sensors (Basel)       Date:  2020-04-07       Impact factor: 3.576

4.  Pulse arrival time as a surrogate of blood pressure.

Authors:  Eoin Finnegan; Shaun Davidson; Mirae Harford; João Jorge; Peter Watkinson; Duncan Young; Lionel Tarassenko; Mauricio Villarroel
Journal:  Sci Rep       Date:  2021-11-23       Impact factor: 4.379

5.  Real-Time Cuffless Continuous Blood Pressure Estimation Using Deep Learning Model.

Authors:  Yung-Hui Li; Latifa Nabila Harfiya; Kartika Purwandari; Yue-Der Lin
Journal:  Sensors (Basel)       Date:  2020-09-30       Impact factor: 3.576

Review 6.  Assessing hemodynamics from the photoplethysmogram to gain insights into vascular age: a review from VascAgeNet.

Authors:  Peter H Charlton; Birutė Paliakaitė; Kristjan Pilt; Martin Bachler; Serena Zanelli; Dániel Kulin; John Allen; Magid Hallab; Elisabetta Bianchini; Christopher C Mayer; Dimitrios Terentes-Printzios; Verena Dittrich; Bernhard Hametner; Dave Veerasingam; Dejan Žikić; Vaidotas Marozas
Journal:  Am J Physiol Heart Circ Physiol       Date:  2021-12-24       Impact factor: 4.733

  6 in total

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