Estimation of central systolic blood pressure using an oscillometric blood pressure monitor

Hao Min Cheng, Kang Ling Wang, Ying Hwa Chen, Shing Jong Lin, Lung Ching Chen, Shih Hsien Sung, Philip Yu An Ding, Wen Chung Yu, Jaw Wen Chen, Chen Huan Chen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

52 Scopus citations

Abstract

Current noninvasive techniques for assessing central aortic pressure require the recording of an arterial pressure wave using a high-fidelity applanation tonometer. We therefore developed and validated a novel method to estimate the central aortic systolic pressure using an oscillometric blood pressure monitor alone. Invasive high-fidelity right brachial and central aortic pressure waves, and left-brachial pulse volume plethysmography from an oscillometric blood pressure monitor, were obtained at baseline and 3 min after administration of sublingual nitroglycerin in 100 patients during cardiac catheterization. In the initial 50 patients (Generation Group), Central systolic blood pressure was predicted by a multi-variate prediction model generated from the comprehensive analysis of the invasive brachial pressure wave, including brachial late-systolic shoulder pressure value and parameters related to wave reflection and arterial compliance. Another prediction model was similarly constructed from the noninvasively calibrated pulse volume plethysmography. Both models were validated in the subsequent 50 patients (Validation Group) with results: r=0.98 (P<0.001) and mean difference=0.5±4.5 (95% confidence interval-8.3 to 9.3) mm Hg for the invasive model, and r=0.93 (P<0.001) and mean difference0.17.6 (95% confidence interval 15.0 to 14.8) mm Hg for the noninvasive model. Thus, our results indicate that central aortic systolic blood pressure could be estimated by analysis of the noninvasive brachial pressure wave alone from an oscillometric blood pressure monitor.

Original languageEnglish
Pages (from-to)592-599
Number of pages8
JournalHypertension Research
Volume33
Issue number6
DOIs
StatePublished - Jun 2010

Keywords

  • Central blood pressure
  • Oscillometric signals
  • Pressure wave reflection
  • Pulse volume plethysmography

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