Suppr超能文献

转甲状腺素蛋白淀粉样心肌病患者的超声心动图表现

Echocardiographic findings of patients with transthyretin amyloid cardiomyopathy.

作者信息

Usuku Hiroki, Oike Fumi, Kuyama Naoto, Hirakawa Kyoko, Takashio Seiji, Izumiya Yasuhiro, Tsujita Kenichi

机构信息

Department of Laboratory Medicine, Kumamoto University Hospital, 1-1-1 Honjo, Chuo-ku, Kumamoto, 860-8556, Japan.

Department of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.

出版信息

J Echocardiogr. 2025 Mar;23(1):1-9. doi: 10.1007/s12574-024-00672-w. Epub 2024 Dec 27.

Abstract

Transthyretin amyloid cardiomyopathy (ATTR-CM) is becoming increasingly recognized with the aging population, advancements in understanding of disease pathobiology and the potential benefits of emerging therapies. Bone scintigraphy, including Tc-labeled pyrophosphate scintigraphy, is currently considered the first-line modality for identifying ATTR-CM. Therefore, it is important to increase the preset probability using inexpensive and simple tests including echocardiography. Although there were a lot of typical echocardiographic findings of amyloid cardiomyopathy, unexplained left ventricular (LV) wall thickness, LV apical sparing, and a discrepancy between LV wall thickness and QRS voltage were selected as red flags/clues for ATTR-CM in various current diagnostic algorithms. Although echocardiography is useful for ATTR-CM screening, there are several limitations. Therefore, it is important to perform echocardiography and combine it with physical examination, laboratory findings, and other imaging data.

摘要

随着人口老龄化、对疾病病理生物学认识的进步以及新兴疗法的潜在益处,转甲状腺素蛋白淀粉样变心肌病(ATTR-CM)越来越受到关注。骨闪烁显像,包括锝标记焦磷酸盐闪烁显像,目前被认为是识别ATTR-CM的一线检查方法。因此,使用包括超声心动图在内的廉价且简单的检查来提高预设概率很重要。虽然淀粉样变心肌病有许多典型的超声心动图表现,但在目前各种诊断算法中,无法解释的左心室(LV)壁厚度、LV心尖 sparing以及LV壁厚度与QRS电压之间的差异被选为ATTR-CM的警示信号/线索。虽然超声心动图对ATTR-CM筛查有用,但也有一些局限性。因此,进行超声心动图检查并将其与体格检查、实验室检查结果及其他影像学数据相结合很重要。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验