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ȣ - 520426 245 |
Estimation of central aortic pressure using automated carotid arterial tonometry |
아주대학교 의과대학 순환기내과학교실 |
최운정, 황정원, 양형모, 박진선, 임홍석, 강수진, 최병주, 최소연, 윤명호, 황교승, 탁승제, 신준한 |
Purpose : The aim of this study was to evaluate whether automated carotid pressure wave analysis can provide information comparable with central aortic and radial arterial pulse wave analyses.
Methods : Twenty-six patients (mean age: 63 ± 11 years-old, 10 males) with angina, who received elective coronary angiography, were enrolled. Central aortic pressure obtained with a fluid-filled catheter placed in the aortic root. We simultaneously measured right brachial pressure, and carotid and femoral arterial pulse waves non-invasively using automated vascular testing device (VP-2000, BP-203RPEII + TU-100). In a subset (n=15), we immediately measured radial arterial pulse waves by an applanation tonometry-based automated device (HEM-9000AI). Estimated central arterial pressure (c-SBPca) was calculated using carotid augmentation index (c-AI) and brachial pressure (c-SBPca = 1.06*{(0.0065c-AI + 0.53)*brachial pulse pressure + brachial diastolic pressure}+7.4). In addition, nineteen patients were prospectively analysed.
Results : The a-SBP correlated well with c-SBPca, central arterial pressure calculated with radial pulses (c-SBPra), early and late estimated radial pressure (r-SBP and r-SBP2), and brachial pressure (br-SBP). The c-AI correlated with central aortic augmentation index (a-AI) and radial augmentation index (r-AI) (Table 1).
Conclusions : Non-invasively automatic carotid arterial pressure waveform analysis with ordinary measurement of brachial blood pressure may be more accurately applied method to assess invasively measure systolic blood pressure and augmentation in the aorta
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N=26 |
Prospective (n=19) |
Total (n=45) |
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Mean ± SD |
r |
Mean ± SD |
r |
Mean ± SD |
r |
a-SBP |
135±20 |
- |
138±24 |
- |
137±22 |
- |
c-SBPca |
127±19 |
0.882 |
128±21 |
0.884 |
128±20 |
0.882 |
c-AI |
23±15 |
- |
20±20 |
- |
22±17 |
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a-AI |
27±12 |
0.843 |
25±16 |
0.948 |
26±14 |
0.902 |
r-AI |
68±20 |
0.536 |
76±23 |
0.813 |
71±21 |
0.693 |
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