桡动脉增强指数：评估血管老化的一个有用且易于获取的参数。

Radial augmentation index: a useful and easily obtainable parameter for vascular aging.

作者信息

Kohara Katsuhiko, Tabara Yasuharu, Oshiumi Akira, Miyawaki Yoshinori, Kobayashi Tatsuya, Miki Tetsuro

机构信息

Department of Geriatric Medicine, Ehime University School of Medicine, Ehime, Japan.

出版信息

Am J Hypertens. 2005 Jan;18(1 Pt 2):11S-14S. doi: 10.1016/j.amjhyper.2004.10.010.

DOI:10.1016/j.amjhyper.2004.10.010

PMID:15683726

Abstract

BACKGROUND

It has been shown that the systolic augmentation index (AI) in the central arteries, including the aorta and carotid arteries, changes with age. The AI can also be obtained from the peripheral arteries. The possible usefulness of AI obtained from the radial artery as an index for vascular aging was investigated.

METHODS

Radial arterial waveforms were obtained from 632 subjects with no cardiovascular disease, using radial tonometry. Radial AI was calculated as follows: (Second peak systolic blood pressure [SBP2] - diastolic blood pressure [DBP]) / (first peak SBP - DBP) x100 (%).

RESULTS

Radial AI was significantly higher in women than in men (81.1% +/- 16.1% compared with 69.5% +/- 16.3%, P < .001). Radial AI was positively related to age in healthy men and women (r = 0.619, P < .001, and r = 0.644, P < .001, respectively). When comparing subjects in their 20s to those in their 70s, radial AI increased 1.56 times (from 53.2% to 83.0%) in men and 1.49 times (from 64.6% to 96.4%) in women. Multiple regression analysis showed that age is a potent predictor of radial AI in addition to gender, DBP and pulse rate.

CONCLUSIONS

These findings indicate that simple and easily-obtainable radial AI is age-dependent and could be a useful index of vascular aging.

摘要

背景

研究表明，包括主动脉和颈动脉在内的中心动脉的收缩期增强指数（AI）会随年龄变化。AI也可从外周动脉获得。本研究探讨了从桡动脉获得的AI作为血管老化指标的潜在用途。

方法

采用桡动脉压计从632例无心血管疾病的受试者获取桡动脉波形。桡动脉AI的计算方法如下：（第二峰收缩压[SBP2] - 舒张压[DBP]）/（第一峰SBP - DBP）×100（%）。

结果

女性的桡动脉AI显著高于男性（分别为81.1%±16.1%和69.5%±16.3%，P <.001）。健康男性和女性的桡动脉AI与年龄呈正相关（r分别为0.619，P <.001和0.644，P <.001）。将20多岁的受试者与70多岁的受试者进行比较时，男性的桡动脉AI增加了1.56倍（从53.2%增至83.0%），女性增加了1.49倍（从64.6%增至96.4%）。多元回归分析表明，除性别、DBP和脉率外，年龄是桡动脉AI的有力预测因素。