Hiremath Pranoti, Lawler Patrick R, Ho Jennifer E, Correia Andrew W, Abbasi Siddique A, Kwong Raymond Y, Jerosch-Herold Michael, Ho Carolyn Y, Cheng Susan
From the Cardiovascular Division, Department of Medicine (P.H., P.R.L., R.Y.K., C.Y.H., S.C.) and Department of Radiology (M.J.-H.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Cardiology Division, Department of Medicine, Massachusetts General Hospital, Boston (J.E.H.); SessionM, Boston, MA (A.W.C.); and Division of Cardiology, Department of Medicine, Warren Alpert Medical School of Brown University, Providence, RI (S.A.A.).
Circ Heart Fail. 2016 Sep;9(9). doi: 10.1161/CIRCHEARTFAILURE.116.003026.
The noninvasive assessment of altered myocardium in patients with genetic mutations that are associated with hypertrophic cardiomyopathy (HCM) remains challenging. In this pilot study, we evaluated whether a novel echocardiography-based assessment of myocardial microstructure, the signal intensity coefficient (SIC), could detect tissue-level alterations in HCM sarcomere mutation carriers with and without left ventricular hypertrophy.
We studied 3 groups of genotyped individuals: sarcomere mutation carriers with left ventricular hypertrophy (clinical HCM; n=36), mutation carriers with normal left ventricular wall thickness (subclinical HCM; n=28), and healthy controls (n=10). We compared measurements of echocardiographic SIC with validated assessments of cardiac microstructural alteration, including cardiac magnetic resonance measures of interstitial fibrosis (extracellular volume fraction), as well as serum biomarkers (NTproBNP, hs-cTnI, and PICP). In age-, sex-, and familial relation-adjusted analyses, the SIC was quantitatively different across subjects with overt HCM, subclinical HCM, and healthy controls (P<0.001). Compared with controls, the SIC was 61% higher in overt HCM and 47% higher in subclinical HCM (P<0.001 for both). The SIC was significantly correlated with extracellular volume (r=0.72; P<0.01), with left ventricular mass and E' velocity (r=0.45, -0.60, respectively; P<0.01 for both), and with serum NTproBNP levels (r=0.36; P<0.001).
Our findings suggest that the SIC could serve as a noninvasive quantitative tool for assessing altered myocardial tissue characteristics in patients with genetic mutations associated with HCM. Further studies are needed to determine whether the SIC could be used to identify subclinical changes in patients at risk for HCM and to evaluate the effects of interventions.
对与肥厚型心肌病(HCM)相关基因突变患者心肌改变进行无创评估仍具有挑战性。在这项初步研究中,我们评估了一种基于超声心动图的心肌微观结构新评估方法——信号强度系数(SIC),能否检测出有或无左心室肥厚的HCM肌节突变携带者的组织水平改变。
我们研究了3组基因分型个体:有左心室肥厚的肌节突变携带者(临床HCM;n = 36)、左心室壁厚度正常的突变携带者(亚临床HCM;n = 28)和健康对照者(n = 10)。我们将超声心动图SIC测量值与经过验证的心脏微观结构改变评估方法进行比较,包括心脏磁共振测量的间质纤维化(细胞外容积分数)以及血清生物标志物(NTproBNP、hs-cTnI和PICP)。在年龄、性别和家族关系调整分析中,显性HCM、亚临床HCM患者和健康对照者的SIC在数量上存在差异(P < 0.001)。与对照组相比,显性HCM患者的SIC高61%,亚临床HCM患者的SIC高47%(两者P均< 0.001)。SIC与细胞外容积显著相关(r = 0.72;P < 0.01),与左心室质量和E'速度分别显著相关(r = 0.45、-0.60;两者P均< 0.01),与血清NTproBNP水平显著相关(r = 0.36;P < 0.001)。
我们的研究结果表明,SIC可作为一种无创定量工具,用于评估与HCM相关基因突变患者的心肌组织特征改变。需要进一步研究以确定SIC是否可用于识别HCM风险患者的亚临床变化,并评估干预效果。