Objectives. Cerebral artery critical closing pressure (CCP) is an estimated parameter with no single accepted method of calculation. Variation between methods could be significant. This study investigates two models to estimate CCP using arterial blood pressure (BP) and middle cerebral artery flow velocity (FV) waveforms, quantifying the difference between radial and aortic BP as the BP input signal. Methods. Suspected and untreated hypertensive subjects (n=445, 203 female, 50±10 years, range 21 to 73 years old), referred to Ruijin Hospital in Shanghai, China, for 24-hours BP monitoring, were recruited. Radial BP and FV waveforms were acquired by applanation tonometry and transcranial Doppler respectively. Aortic BP waveforms were synthesised from the radial waveform using a validated transfer function (SphygmoCor®). CCP was estimated using the relationship between BP and FV waveforms by both linear regression (LR), and the first harmonic (H1) in Fourier decomposition. The difference between the two models was quantified if the BP waveform input signal was radial or aortic and compared by Student's paired t-test. Results. Use of aortic instead of radial BP resulted in a 29% increase in estimated CCP using the LR model, and 25% increase using the H1 model (Figure, p<0.001). Radial BP resulted in variation between the models (4%, p<0.001). Aortic BP did not cause this variation (0.6%, p=0.49). Conclusions. Aortic, but not radial pressure gave a model independent estimate of CCP. However, estimated CCP within a model was significantly different depending on whether radial or aortic pressure was used.
|Number of pages||1|
|Publication status||Published - 2013|
|Event||Association for Research into Arterial Structure and Physiology Conference 2013: ARTERY 2013 - London, United Kingdom|
Duration: 17 Oct 2013 → 19 Oct 2013