医学
心脏病学
肥厚性心肌病
内科学
射血分数
危险分层
临床终点
心力衰竭
磁共振成像
心源性猝死
心脏磁共振
代理终结点
冲程容积
心肌病
生物标志物
细胞外液
弗雷明翰风险评分
舒张期
心脏磁共振成像
试验预测值
前瞻性队列研究
心脏病
危险系数
作者
Hyun‐Jung Lee,Seo‐Yeon Gwak,Suji Lee,Kyu Kim,I K S U N G Cho,Chi Young Shim,Byoung Wook Choi,Jong‐Won Ha,Young Jin Kim,Geu‐Ru Hong
标识
DOI:10.1093/ehjci/jeag146
摘要
AIMS: This study investigated the incremental prognostic value of cardiovascular magnetic resonance (CMR)-derived extracellular volume fraction (ECV), a marker of diffuse interstitial fibrosis, beyond late gadolinium enhancement (LGE) in hypertrophic cardiomyopathy (HCM). METHODS AND RESULTS: We analysed 990 consecutive HCM patients (median age 58 years, male 68.3%) who underwent CMR between 2012 and 2024. LGE and global ECV were quantified, and their associations with the primary endpoint of HCM-related events-a composite of sudden cardiac death (SCD) events, heart failure (HF) events, and HCM-related death-were assessed. During a median follow-up of 3.2 years, 64 (6.5%) patients experienced the primary endpoint. While LGE (median 7.1%, IQR 2.3-16.9%) and ECV (median 29.0%, IQR 26.6-32.0%) were moderately correlated (R = 0.604, P < 0.001), both were significantly associated with increased risk of the primary endpoint and individual outcomes of SCD and HF events, and optimal cutoffs were determined as LGE ≥ 27% and ECV ≥ 35%. Patients with ECV ≥ 35% had more symptoms, a more severe phenotype with greater systolic and diastolic dysfunction, and more pathogenic gene variants. Notably, ECV remained a significant predictor of the primary endpoint (adjusted HR 1.08, 95% CI 1.02-1.15, per 1%) after adjustment for key disease variables, including left ventricular ejection fraction and LGE. Elevated ECV effectively identified high-risk individuals even among lower-risk subgroups, including those with low LGE burden. CONCLUSION: Increased ECV is an independent predictor of HCM-related outcomes. ECV may serve as a novel imaging biomarker to refine risk stratification in HCM patients who do not meet traditional LGE-based high-risk criteria.
科研通智能强力驱动
Strongly Powered by AbleSci AI