Heart Centre, Clinical Physiology, Department of Surgical and Perioperative Sciences, Umeå University, Umeå, Sweden.
Medicine, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden.
Clin Physiol Funct Imaging. 2021 Sep;41(5):408-416. doi: 10.1111/cpf.12715. Epub 2021 Jun 15.
AIMS/BACKGROUND: Transthyretin amyloid (ATTR) amyloidosis cardiomyopathy is an underdiagnosed, causatively treatable cause of heart failure (HF). The aim of this study was to evaluate the efficacy of electrocardiogram (ECG) and echocardiography on patients with increased interventricular septum diameter (IVSd) to identify ATTR cardiac amyloidosis (ATTR-CA) patients.
We investigated 58 patients with HF and an IVSd > 14 mm. Included were 33 ATTR-CA patients and 25 controls that consisted of non-amyloidosis HFpatients with negative 99mTc-3,3-diphosphono-1,2-propanodicarboxylic acid (DPD) scintigraphy. We used echocardiography including 2D speckle-tracking strain and a 12-lead ECG to test the accuracy to differentiate the groups.
We found high diagnostic accuracy (98%) for differentiating ATTR-CA from HF controls using a combination of R amplitude in -aVR from ECG and relative wall thickness acquired from echocardiography. With this combined model (RWT/R in -aVR), the sensitivity was 100% and specificity was 95% using a cut-off value of 0.90. Furthermore, the area under the curve was 99% and the negative predictive value was 100%.
We found that a simple combination of ECG and echocardiographic parameters used in clinical settings was able to differentiate ATTR-CA from other aetiologies of HF with increased interventricular septum thickness. The high sensitivity and negative predictive value render the algorithm useful for selection of patients for further diagnostic procedures for ATTR-CA.
目的/背景:转甲状腺素蛋白淀粉样变(ATTR)淀粉样变心肌病是一种未被充分诊断的、可病因治疗的心力衰竭(HF)病因。本研究的目的是评估心电图(ECG)和超声心动图对室间隔增厚(IVSd)患者的疗效,以识别ATTR 心脏淀粉样变(ATTR-CA)患者。
我们调查了 58 例 HF 患者和 IVSd>14mm 的患者。其中包括 33 例 ATTR-CA 患者和 25 例对照组,后者由 99mTc-3,3-二膦酸基-1,2-丙二醇(DPD)闪烁显像阴性的非淀粉样变 HF 患者组成。我们使用超声心动图,包括二维斑点追踪应变和 12 导联心电图,以测试区分这些组的准确性。
我们发现使用心电图 R 波振幅在-aVR 和超声心动图获得的相对室壁厚度的组合,对区分 ATTR-CA 与 HF 对照组具有很高的诊断准确性(98%)。使用该联合模型(RWT/R 在-aVR),当截断值为 0.90 时,敏感性为 100%,特异性为 95%。此外,曲线下面积为 99%,阴性预测值为 100%。
我们发现,临床中使用的 ECG 和超声心动图参数的简单组合能够区分 ATTR-CA 与其他导致 IVSd 增厚的 HF 病因。高敏感性和阴性预测值使得该算法对选择需要进一步进行 ATTR-CA 诊断程序的患者有用。