The prognostic value of right ventricular long axis strain in non-ischaemic dilated cardiomyopathies using standard cardiac magnetic resonance imaging

European radiology(2017)

引用 17|浏览35
暂无评分
摘要
Objective To investigate the association of right ventricular long axis strain (RV-LAS), a parameter of longitudinal function, with outcome in patients with non-ischaemic dilated cardiomyopathy (NIDCM). Methods In 441 patients with NIDCM, RV-LAS was analysed retrospectively by measuring the length between the epicardial border of the left ventricular apex and the middle of a line connecting the origins of the tricuspidal valve leaflets in end-diastole and end-systole on non-contrast standard cine sequences. Results The primary endpoint (cardiac death or heart transplantation) occurred in 41 patients, whereas 95 reached the combined endpoint (including cardiac decompensation and sustained ventricular arrhythmias) during a median follow-up of 4.2 years. Kaplan-Meier survival curves showed a poor outcome in patients with RV-LAS values below −10% (log-rank, p < 0.0001). In a risk stratification model RV-LAS improved prediction of outcome in addition to RV ejection fraction (RVEF) and presence of late gadolinium enhancement. Assessment of RV-LAS offered incremental information compared to clinical symptoms, biomarkers and RVEF. Even in the subgroup with normal RVEF (>45%, n = 213) reduced RV-LAS was still associated with poor outcome. Conclusion Assessment of RV-LAS is an independent indicator of outcome in patients with NIDCM and offers incremental information beyond clinical and cardiac MR parameters. Key points • Impaired right ventricular longitudinal function ( RV - LAS ) is associated with poorer cardiac outcomes . • Poor outcome is associated with decreased RV - LAS even in patients with RVEF > 45 %. • Addition of RV - LAS to known risk factors enhances the power prognostic information .
更多
查看译文
关键词
Right ventricular long axis strain,Longitudinal function,Non-ischaemic dilated cardiomyopathy,Prognosis,Cardiac magnetic resonance imaging
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要