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Reservoir-wave parameters and cardiovascular prediction: Analysis of the population-based CARTaGENE cohort

  • Louis‐Charles Desbiens (Author and Speaker)
  • Catherine Fortier (Author)
  • François Madore (Author)
  • Hametner, B. (Author)
  • Wassertheurer, S. (Author)
  • Mohsen Agharazii (Author)
  • Rémi Goupil (Author)

Activity: Talk or presentation / LecturePresentation at a scientific conference / workshop

Description

Background:
The reservoir-wave concept hypothesizes that blood pressure is the sum of a reservoir and an excess pressure.
Nevertheless, the clinical association of reservoir-wave parameters with cardiovascular outcomes remains controversial.

Methods:
We studied individuals aged between 40 and 69 from the CARTaGENE cohort (Canada). Radial waveforms were measured with
aplanation tonometry (SphygmoCor). They were transformed to central waveforms using generalized transfer functions and used to generate reservoir parameters (Reservoir pressure [RP], Reservoir pressure integral [RPI], Excess pressure [XSP], Excess pressure integral [XSPI],
Systolic rate constant [SC], Diastolic rate constant [DC], Optimized asymptotic pressure [PInf]). Major adverse atherosclerotic events (MACE: cardiovascular death, stroke, myocardial infarction) during a 10-year follow-up were obtained using medico-administrative databases. Associations of reservoir parameters with MACE were derived using crude and fully adjusted Cox models. Incremental predictive performance over the ASCVD score (atherosclerotic cardiovascular disease score; using revised pooled cohort equations) for each reservoir parameter was displayed using c-statistic improvement and continuous net reclassifcation indexes (NRI).

Results:
From 17,629 individuals, 2327 had a MACE during the follow-up. All reservoir parameters were signifcantly higher in patients
who experienced a MACE. After full adjustment, RP, XSPI and DC
were associated with increased MACE incidence (Table). Spline analysis did not reveal any non-linear relationships between reservoir parameters and MACEs. When added to the ASCVD prediction score, XSP and DC signifcantly improved c-statistics while RP, XSPI, DC and PInf led to a signifcant net reclassifcation improvement.

Conclusion:
Reservoir parameters, especially the diastolic rate constant, improve cardiovascular prediction in a population-based cohort.

Externe Publikations-IDs
Zusätzliche Quellen-IDORCID: /0000-0003-2048-1019/work/140645015

Copyright © 2022, The Author(s)
This is an open access article distributed under the terms of the Creative Commons CC BY license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Period21 Oct 2022
Event titleArtery 22
Event typeOther
LocationNancy, FranceShow on map
Degree of RecognitionInternational

Research Field

  • Medical Signal Analysis

Keywords

  • Reservoir-wave parameters
  • blood pressure
  • sum of a reservoir
  • excess pressure (XSP)
  • aged between 40 and 69
  • Radial waveforms
  • CARTaGENE cohort (Canada)