Suppr超能文献

应用快速应变编码心血管磁共振技术对左、右心室应变进行检测,用于诊断扩张型、肥厚型心肌病或心脏淀粉样变性导致的慢性非缺血性心力衰竭患者。

Left and right ventricular strain using fast strain-encoded cardiovascular magnetic resonance for the diagnostic classification of patients with chronic non-ischemic heart failure due to dilated, hypertrophic cardiomyopathy or cardiac amyloidosis.

机构信息

Department of Cardiology, Marien Hospital Hamburg, Hamburg, Germany.

Departments of Cardiology, Vascular Medicine and Pneumology, GRN Academic Teaching Hospital Weinheim, Roentgenstrasse 1, 69469, Weinheim, Germany.

出版信息

J Cardiovasc Magn Reson. 2021 Apr 5;23(1):45. doi: 10.1186/s12968-021-00711-w.

Abstract

AIMS

To compare the ability of left ventricular (LV) and right ventricular (RV) strain measured by fast-strain encoded cardiovascular magnetic resonance (CMR) (fast-SENC) with LV- and RV-ejection fraction for the diagnostic classification of patients with different stages of chronic heart failure (stages A-D based on American College of Cardiology/American Heart Association guidelines) due to non-ischemic cardiomyopathies.

METHODS

Our study population consisted of 276 consecutive patients who underwent CMR for clinical reasons, and 19 healthy subjects. Wall motion score index and non-infarct related late gadolinium enhancement (LGE), LV ejection fraction (LVEF) and RV ejection fraction (RVEF) and global LV- and RV-longitudinal (GLS) and circumferential strain (GCS) based on fast-SENC acquisitions, were calculated in all subjects. The percentage of LV and RV myocardial segments with strain ≤ - 17% (%normal LV and RV myocardium) was determined in all subjects.

RESULTS

LVEF and RVEF, LV-GLS, LV-GCS, RV-GLS, RV-GCS and %normal LV- and RV myocardium depressed with increasing heart failure stage (p < 0.001 for all by ANOVA). By multivariable analysis, %normal LV and RV myocardium exhibited closer associations to heart failure stages than LVEF and RVEF (r = 0.79 versus r = 0.21 for %normal LV myocardium versus LVEF and r = 0.64 versus r = 0.20 for %normal RV myocardium versus RVEF, respectively). Furthermore, %normal LV and RV myocardium exhibited incremental value for the identification of patients (i) with subclinical myocardial dysfunction and (ii) with symptomatic heart failure, surpassing that provided by LVEF and RVEF (ΔAUC = 0.22 for LVEF and ΔAUC = 0.19 for RVEF with subclinical dysfunction, and ΔAUC = 0.19 for LVEF and ΔAUC = 0.22 for RVEF with symptomatic heart failure, respectively, p < 0.001 for all). %normal LV myocardium reclassified 11 of 31 (35%) patients judged as having no structural heart disease by clinical and imaging data to stage B, i.e., subclinical LV-dysfunction.

CONCLUSIONS

In patients with non-ischemic cardiomyopathy, %normal LV and RV myocardium, by fast-SENC, enables improved identification of asymptomatic patients with subclinical LV-dysfunction. This technique may be useful for the early identification of such presumably healthy subjects at risk for heart failure and for monitoring LV and RV deformation during pharmacologic interventions in future studies.

摘要

目的

比较基于快速应变编码心血管磁共振(fast-SENC)的左心室(LV)和右心室(RV)应变与 LV 和 RV 射血分数在诊断非缺血性心肌病引起的不同阶段慢性心力衰竭(基于美国心脏病学会/美国心脏协会指南的 A 至 D 期)患者中的作用。

方法

我们的研究人群包括 276 例因临床原因接受 CMR 的连续患者和 19 例健康受试者。在所有受试者中计算了壁运动评分指数和非梗死相关晚期钆增强(LGE)、LV 射血分数(LVEF)和 RV 射血分数(RVEF)以及基于 fast-SENC 采集的整体 LV 和 RV 纵向(GLS)和周向应变(GCS)。在所有受试者中确定了应变 ≤ - 17%(%正常 LV 和 RV 心肌)的 LV 和 RV 心肌节段百分比。

结果

随着心力衰竭阶段的增加,LVEF 和 RVEF、LV-GLS、LV-GCS、RV-GLS、RV-GCS 和%正常 LV 和 RV 心肌均降低(方差分析,p < 0.001)。通过多变量分析,%正常 LV 和 RV 心肌与心力衰竭阶段的相关性比 LVEF 和 RVEF 更密切(%正常 LV 心肌与 LVEF 的 r 值为 0.79,而%正常 RV 心肌与 RVEF 的 r 值为 0.20)。此外,%正常 LV 和 RV 心肌对识别(i)亚临床心肌功能障碍和(ii)有症状心力衰竭患者具有增量价值,超过了 LVEF 和 RVEF 的价值(LVEF 亚临床功能障碍的 AUC 差异 = 0.22,RVEF 的 AUC 差异 = 0.19,有症状心力衰竭的 AUC 差异 = 0.19,LVEF 的 AUC 差异 = 0.22,RVEF 的 AUC 差异 = 0.22,均 p < 0.001)。%正常 LV 心肌重新分类了 31 名(35%)患者中的 11 名,这些患者根据临床和影像学数据判断为没有结构性心脏病,即亚临床 LV 功能障碍。

结论

在非缺血性心肌病患者中,基于 fast-SENC 的%正常 LV 和 RV 心肌可更好地识别无症状的亚临床 LV 功能障碍患者。该技术可能有助于早期识别此类可能患有心力衰竭风险的健康受试者,并在未来研究中监测药物干预期间的 LV 和 RV 变形。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4736/8025329/a1d4df628d87/12968_2021_711_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验