Wang Jie, Zhang Jinquan, Pu Lutong, Qi Weitang, Xu Yuanwei, Wan Ke, Zhu Yanjie, Gkoutos Georgios V, Han Yuchi, Chen Yucheng
Department of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
College of Medical and Dental Sciences, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom.
JACC Asia. 2024 Mar 26;4(5):389-399. doi: 10.1016/j.jacasi.2024.01.005. eCollection 2024 May.
The prognostic value of left ventricular (LV) entropy in hypertrophic cardiomyopathy (HCM) is unclear.
This study aimed to assess the prognostic value of LV entropy from T1 mapping in HCM.
A total of 748 participants with HCM, who underwent cardiovascular magnetic resonance (CMR), were consecutively enrolled. LV entropy was quantified by native T1 mapping. A competing risk analysis and a Cox proportional hazards regression analysis were performed to identify potential associations of LV entropy with sudden cardiac death (SCD) and cardiovascular death (CVD), respectively.
A total of 40 patients with HCM experienced SCD, and 65 experienced CVD during a median follow-up of 43 months. Participants with increased LV entropy (≥4.06) were more likely to experience SCD and CVD (all < 0.05) in the entire study cohort or the subgroup with low late gadolinium enhancement (LGE) extent (<15%). After adjustment for the European Society of Cardiology predictors and the presence of high LGE extent (≥15%), LV mean entropy was an independent predictor for SCD (HR: 1.03; all < 0.05) by the multivariable competing risk analysis and CVD (HR: 1.06; 95% CI: 1.03-1.09; < 0.001) by multivariable Cox regression analysis.
LV mean entropy derived from native T1 mapping, reflecting myocardial tissue heterogeneity, was an independent predictor of SCD and CVD in participants with HCM. (Cardiac Magnetic Resonance Imaging Clinical Application Registration Study; ChiCTR1900024094).
肥厚型心肌病(HCM)中左心室(LV)熵的预后价值尚不清楚。
本研究旨在评估HCM中基于T1 mapping的LV熵的预后价值。
连续纳入748例接受心血管磁共振(CMR)检查的HCM患者。通过T1 mapping对LV熵进行定量分析。分别进行竞争风险分析和Cox比例风险回归分析,以确定LV熵与心源性猝死(SCD)和心血管死亡(CVD)之间的潜在关联。
在中位随访43个月期间,共有40例HCM患者发生SCD,65例发生CVD。在整个研究队列或晚期钆增强(LGE)程度较低(<15%)的亚组中,LV熵增加(≥4.06)的参与者发生SCD和CVD的可能性更高(均<0.05)。在调整欧洲心脏病学会预测指标和高LGE程度(≥15%)的存在后通过多变量竞争风险分析显示,LV平均熵是SCD的独立预测因子(HR:1.03;均<0.05),通过多变量Cox回归分析显示其是CVD的独立预测因子(HR:1.06;95%CI:1.03-1.09;<0.001)。
基于T1 mapping得出的LV平均熵反映了心肌组织的异质性,是HCM患者SCD和CVD的独立预测因子。(心脏磁共振成像临床应用注册研究;ChiCTR1900024094)