1st Department of Cardiology, AHEPA Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Department of Medicine, Jacobi Medical Center, Albert Einstein College of Medicine, Bronx, New York.
JACC Cardiovasc Imaging. 2020 Feb;13(2 Pt 1):385-392. doi: 10.1016/j.jcmg.2019.03.029. Epub 2019 Jul 17.
The aim of this systematic review was to explore the prognostic value of late gadolinium enhancement (LGE) in patients with aortic stenosis (AS).
Myocardial fibrosis is a common feature of many cardiac diseases. Cardiac magnetic resonance (CMR) has the ability to noninvasively detect regional fibrosis by using the LGE technique. Several studies have explored whether LGE is associated with adverse outcome in patients with AS.
Electronic databases were searched to identify studies investigating the ability of LGE to predict all-cause mortality in patients with AS. A random effects model meta-analysis was conducted. Heterogeneity was assessed with the I statistic.
Six studies comprising 1,151 patients met our inclusion criteria. LGE was present in 49.1% of patients with AS. In the pooled analysis, LGE was found to be a strong univariate predictor of all-cause mortality (pooled unadjusted odds ratio: 2.56; 95% confidence interval: 1.83 to 3.57; I = 0%). Four of the included studies reported adjusted hazard ratios for mortality. LGE was independently associated with mortality, even after adjusting for baseline characteristics (pooled adjusted hazard ratio: 2.50; 95% confidence interval: 1.64 to 3.83; I = 0%).
Fibrosis on LGE-CMR is a powerful predictor of all-cause mortality in patients with AS and may serve as a novel marker for risk stratification. Future studies should explore whether LGE-CMR can also be used to optimize timing of AS-related interventions.
本系统评价旨在探讨晚期钆增强(LGE)在主动脉瓣狭窄(AS)患者中的预后价值。
心肌纤维化是许多心脏疾病的共同特征。心脏磁共振(CMR)具有使用 LGE 技术无创检测局部纤维化的能力。几项研究探讨了 LGE 是否与 AS 患者的不良预后相关。
电子数据库检索旨在评估 LGE 预测 AS 患者全因死亡率的能力的研究。进行随机效应模型荟萃分析。使用 I ² 统计评估异质性。
符合纳入标准的研究共 6 项,包括 1151 例患者。AS 患者中有 49.1%存在 LGE。荟萃分析发现,LGE 是全因死亡率的强单变量预测因素(合并未调整优势比:2.56;95%置信区间:1.83 至 3.57;I² = 0%)。纳入的 4 项研究报告了死亡率的调整后危险比。即使在调整了基线特征后,LGE 也与死亡率独立相关(合并调整后危险比:2.50;95%置信区间:1.64 至 3.83;I² = 0%)。
LGE-CMR 上的纤维化是 AS 患者全因死亡率的有力预测指标,可能作为风险分层的新标志物。未来的研究应探讨 LGE-CMR 是否也可用于优化 AS 相关干预的时机。