Determination of central blood pressure by a noninvasive method (brachial BP and QKD interval)

Antoine Cremer1, Mark Butlin, Léopold Codjo

  • 1Cardiology/Arterial Hypertension Unit, Hôpital Saint André, University Hospital, Bordeaux, France. antoine.cremer@voila.fr

Insights

A new method estimates central systolic blood pressure (SBPc) noninvasively using brachial blood pressure (BPb) and the QKD interval. This arterial stiffness marker allows for potential ambulatory monitoring of BPc.

Area of Science:

  • Cardiovascular Research
  • Biomedical Engineering
  • Hypertension Management

Background:

  • Central blood pressure (BPc) measurement is crucial for understanding cardiovascular risk.
  • Therapeutic trials show varied effects of antihypertensives on cardiovascular outcomes despite similar brachial BP (BPb) changes.
  • Differences in BPc response to treatment may explain varying clinical outcomes.

Purpose of the Study:

  • To develop and validate a noninvasive method for automatic measurement of central systolic blood pressure (SBPc).
  • To utilize the QKD interval, an indicator of arterial stiffness, for BPc estimation.
  • To establish a reliable algorithm for estimating SBPc from noninvasive measurements.

Main Methods:

  • Simultaneous invasive measurement of SBPc (pigtail probe) and noninvasive BPb with QKD interval recording.
  • Development of an SBPc estimation algorithm using a cohort of 65 patients (136 measurements).
  • Validation of the developed algorithm in a separate cohort of 80 patients.

Main Results:

  • A regression equation was derived: SBPc = 105 + 1.29 × mBPb - 0.39 × HR - 0.30 × height - 0.11 × QKD.
  • The algorithm explained 81% of the variance in invasive SBPc (± 13 mmHg) in the development cohort.
  • The validated algorithm showed a small difference of 2 ± 14 mmHg between measured and estimated SBPc in the validation cohort.

Conclusions:

  • It is feasible to estimate central systolic blood pressure (SBPc) noninvasively by measuring brachial blood pressure (BPb) and the QKD interval.
  • The developed algorithm demonstrates good accuracy in estimating SBPc.
  • Further research may lead to a noninvasive ambulatory method for monitoring SBPc in clinical practice.
Abstract

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