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Reservoir-excess pressure parameters are independently associated with NT-proBNP in older adults
Kunihiko Aizawa1, Alun D Hughes2, Francesco Casanova1
1Vascular Research Centre, NIHR Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, UK.
Aims:
Parameters derived from reservoir-excess pressure analysis have been demonstrated to predict cardiovascular events. Thus, altered reservoir-excess pressure parameters could have a detrimental effect on highly-perfused organs like the heart. We aimed to cross-sectionally determine whether reservoir-excess pressure parameters were associated with N-terminal pro-brain-type natriuretic peptide (NT-proBNP) in older adults.
Methods:
We studied 868 older adults with diverse cardiovascular risk. Reservoir-excess pressure parameters were obtained through radial artery tonometry including reservoir pressure integral, peak reservoir pressure, excess pressure integral (INTXSP), systolic rate constant (SRC) and diastolic rate constant (DRC). Plasma levels of NT-proBNP, as a biomarker of cardiac overload, were analysed by the Proximity Extension Assay technology.
Results:
Multivariable linear regression analyses revealed that all reservoir-excess pressure parameters studied were associated with NT-proBNP after adjusting for age and sex. After further adjustments for conventional cardiovascular risk factors, INTXSP [β = 0.191 (95% confidence interval, CI: 0.099, 0.283), P < 0.001], SRC [β = -0.080 (95% CI: -0.141, -0.019), P = 0.010] and DRC [β = 0.138 (95% CI: 0.073, 0.202), P < 0.001] remained associated with NT-proBNP. Sensitivity analysis found that there were occasions where the association between SRC and NT-proBNP was attenuated, but both INTXSP and DRC remained consistently associated with NT-proBNP.
Conclusions:
The observed associations between reservoir-excess pressure parameters and NT-proBNP suggest that altered reservoir-excess pressure parameters may reflect an increased load inflicted on the left ventricular cardiomyocytes and could have a potential to be utilized in the clinical setting for cardiovascular risk stratification.
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