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

Louis‐Charles Desbiens (Vortragende:r), Louis‐Charles Desbiens, Catherine Fortier, Annie‑Claire Nadeau‑Fredette, François Madore, Bernhard Hametner, Siegfried Wassertheurer, Mohsen Agharazii, Rémi Goupil

Publikation: Beitrag in Buch oder TagungsbandVortrag mit Beitrag in TagungsbandBegutachtung


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.
TitelSelected Abstracts from Artery 22
UntertitelWednesday 19 – Saturday 22 October 2022, Centre de Congrès Prouvé, Nancy, France
Herausgeber (Verlag)Springer Nature
KapitelOral presentations
Auflagesupplement issue 1, February 2023
PublikationsstatusVeröffentlicht - 7 Feb. 2023
VeranstaltungArtery 22 - Centre de Congés Prouvé, Nancy, Frankreich
Dauer: 19 Okt. 202222 Okt. 2023


NameArtery Research
Herausgeber (Verlag)BMC (BioMed Central) Part of Springer Nature
ISSN (Print)1872-9312
ISSN (elektronisch)1876-4401


SonstigesArtery 22

Research Field

  • Medical Signal Analysis


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