Longhini C, Baracca E, Brunazzi C, Gallucci V, Mazzucco A, Barbaresi F, Pansini R
Cattedra di Fisiopatologia Applicata, Universita' di Sassari, Italy.
Am J Cardiol. 1992 Nov 1;70(13):1164-8. doi: 10.1016/0002-9149(92)90049-5.
Bioprosthetic valves undergo a tissue degeneration of unpredictable onset and amount. This process alters the structure and function of the valve and consequently shortens its lifespan. The echocardiographic technique usually used in the follow-up of these patients does not provide accurate information concerning the amount of prosthesis tissue degeneration. A new technique has been developed based on the spectral analysis of the first heart sound, which enables the evaluation of prosthetic leaflet stiffness. The Young's modulus (E) and stress (s) of the valve leaflets were derived as functions of the inner diameter of the heterograft and its primary vibration frequency, which can be obtained from the frequency spectrum of the first heart sound. Thirty-six patients with a mitral bioprosthetic valve were studied. Fifteen had thickening or calcification, or both, of the valvular leaflets at echocardiographic examination. In patients with a normal valve, E and s showed a good correlation with the duration of implantation (r = 0.909, p < 0.001; and r = 0.828, p < 0.001; respectively). Patients with abnormal leaflets had values of E and s that were greater than the theoretical values expected for their duration of implantation. The procedure is sensitive, accurate and easy to perform, and enables monitoring of the aging of the prosthetic valve and early identification of valve tissue degeneration. Together with echocardiography, this procedure yields a more complete evaluation of prosthetic valves for the follow-up of patients.
生物人工心脏瓣膜会经历组织退化,其发生时间和程度无法预测。这一过程会改变瓣膜的结构和功能,从而缩短其使用寿命。这些患者随访中常用的超声心动图技术无法提供有关人工瓣膜组织退化程度的准确信息。一种基于第一心音频谱分析的新技术已被开发出来,它能够评估人工瓣膜小叶的硬度。瓣膜小叶的杨氏模量(E)和应力(s)是根据异种移植瓣膜的内径及其主要振动频率推导出来的,而这些参数可从第一心音的频谱中获取。对36例二尖瓣生物人工心脏瓣膜患者进行了研究。其中15例在超声心动图检查时发现瓣膜小叶增厚或钙化,或两者皆有。在瓣膜正常的患者中,E和s与植入时间有良好的相关性(分别为r = 0.909,p < 0.001;r = 0.828,p < 0.001)。瓣膜小叶异常的患者,其E和s值高于根据其植入时间预期的理论值。该方法灵敏、准确且易于操作,能够监测人工瓣膜的老化情况并早期识别瓣膜组织退化。与超声心动图一起,该方法可为患者随访中人工瓣膜的评估提供更全面的信息。