Response to Determinants of the Ambulatory Arterial Stiffness Index Regression Line

Determinants of the ambulatory arterial stiffness index regression line.

Ambulatory arterial stiffness index: determinants and outcome.

OBJECTIVES We hypothesized that one minus the slope of diastolic on systolic blood pressure in individual 24-h ambulatory blood pressure recordings (ambulatory arterial stiffness index) might reflect arterial stiffness and predict cardiovascular mortality. METHODS In volunteers and a population recruited in China, we studied concordance between ambulatory arterial stiffness index and establis...

Ambulatory arterial stiffness index: rationale and methodology.

OBJECTIVES Increased arterial stiffness is associated with the development of cardiovascular disease and may even predict its development at an early stage. Increased pulse pressure is seen as a marker of increased arterial stiffness and can be readily measured by ambulatory blood pressure monitoring. We propose another surrogate measure of arterial stiffness derived from ambulatory blood press...

Determinants of the ambulatory arterial stiffness index in 7604 subjects from 6 populations.

The ambulatory arterial stiffness index (AASI) is derived from 24-hour ambulatory blood pressure recordings. We investigated whether the goodness-of-fit of the AASI regression line in individual subjects (r(2)) impacts on the association of AASI with established determinants of the relation between diastolic and systolic blood pressures. We constructed the International Database on the Ambulato...

Reproducibility of the ambulatory arterial stiffness index in hypertensive patients.

BACKGROUND We studied the repeatability of the ambulatory arterial stiffness index (AASI), which can be computed from 24-h blood pressure (BP) recordings as unity minus the regression slope of diastolic on systolic BP. METHODS One hundred and fifty-two hypertensive outpatients recruited in Nijmegen (mean age = 46.2 years; 76.3% with systolic and diastolic hypertension) and 145 patients enroll...