Evidence map›Paper›PMID 28438216›Full record

ArticleBiomedical engineering online2017

Improved pressure contour analysis for estimating cardiac stroke volume using pulse wave velocity measurement.

Shun Kamoi, Christopher Pretty, Joel Balmer, Shaun Davidson, Antoine Pironet, Thomas Desaive, Geoffrey M Shaw, J Geoffrey Chase

Open access · goldAbstract read
In one paragraph

Article in Biomedical engineering online, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.2field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. A structural approach to 3D-printing arterial phantoms with physiologically comparable mechanical characteristics: Preliminary observations.Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine · 2022
    Article
  4. Article
  5. Article
  6. Estimating central blood pressure from aortic flow: development and assessment of algorithms.American journal of physiology. Heart and circulatory physiology · 2021
    Article
  7. Review
  8. Article
  9. Frontiers in pediatrics · 2018
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Shun KamoiDepartment of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand. shun.kamoi@pg.canterbury.ac.nz.
Christopher PrettyDepartment of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand.
Joel BalmerDepartment of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand.
Shaun DavidsonDepartment of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand.
Antoine PironetGIGA Cardiovascular Science, University of Liege, Liege, Belgium.
Thomas DesaiveGIGA Cardiovascular Science, University of Liege, Liege, Belgium.
Geoffrey M ShawIntensive Care Unit, Christchurch Hospital, Christchurch, New Zealand.
J Geoffrey ChaseDepartment of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand.
University of Canterbury · NZUniversity of Liège · BEChristchurch Hospital · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPressure contour analysis is commonly used to estimate cardiac performance for patients suffering from cardiovascular dysfunction in the intensive care unit. However, the existing techniques for continuous estimation of stroke volume (SV) from pressure measurement can be unreliable during hemodynamic instability, which is inevitable for patients requiring significant treatment. For this reason, pressure contour methods must be improved to capture changes in vascular properties and thus provide accurate conversion from pressure to flow.

methodsThis paper presents a novel pressure contour method utilizing pulse wave velocity (PWV) measurement to capture vascular properties. A three-element Windkessel model combined with the reservoir-wave concept are used to decompose the pressure contour into components related to storage and flow. The model parameters are identified beat-to-beat from the water-hammer equation using measured PWV, wave component of the pressure, and an estimate of subject-specific aortic dimension. SV is then calculated by converting pressure to flow using identified model parameters. The accuracy of this novel method is investigated using data from porcine experiments (N = 4 Pietrain pigs, 20-24.5 kg), where hemodynamic properties were significantly altered using dobutamine, fluid administration, and mechanical ventilation. In the experiment, left ventricular volume was measured using admittance catheter, and aortic pressure waveforms were measured at two locations, the aortic arch and abdominal aorta.

resultsBland-Altman analysis comparing gold-standard SV measured by the admittance catheter and estimated SV from the novel method showed average limits of agreement of ±26% across significant hemodynamic alterations. This result shows the method is capable of estimating clinically acceptable absolute SV values according to Critchely and Critchely.

conclusionThe novel pressure contour method presented can accurately estimate and track SV even when hemodynamic properties are significantly altered. Integrating PWV measurements into pressure contour analysis improves identification of beat-to-beat changes in Windkessel model parameters, and thus, provides accurate estimate of blood flow from measured pressure contour. The method has great potential for overcoming weaknesses associated with current pressure contour methods for estimating SV.

Indexed as

Models, CardiovascularAlgorithmsAnimalsBlood Flow VelocityBlood PressureBlood Pressure DeterminationComputer SimulationDiagnosis, Computer-AssistedHeart Function TestsPulse Wave AnalysisReproducibility of ResultsSensitivity and SpecificityStroke VolumeSwineVascular StiffnessCardiovascular systemHemodynamic monitorIntensive carePhysiological modellingPressure contour analysisPulse wave velocityReservoir–wave pressureStroke volumeWater hammerWindkessel model

Identifiers

PMID28438216
PMCPMC5404318
OpenAlexW2607889689

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.