Department of Surgical Sciences, Radiology Unit, University of Turin, Turin, Italy.
Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Eur Radiol. 2024 Nov;34(11):7321-7333. doi: 10.1007/s00330-024-10815-3. Epub 2024 Jun 6.
To perform a systematic review and meta-analysis of studies investigating the diagnostic value of cardiac magnetic resonance (CMR) features for arrhythmic risk stratification in mitral valve prolapse (MVP) patients.
EMBASE, PubMed/MEDLINE, and CENTRAL were searched for studies reporting MVP patients who underwent CMR with assessment of: left ventricular (LV) size and function, mitral regurgitation (MR), prolapse distance, mitral annular disjunction (MAD), curling, late gadolinium enhancement (LGE), and T1 mapping, and reported the association with arrhythmia. The primary endpoint was complex ventricular arrhythmias (co-VAs) as defined by any non-sustained ventricular tachycardia, sustained ventricular tachycardia, ventricular fibrillation, or aborted sudden cardiac death. Meta-analysis was performed when at least three studies investigated a CMR feature. PROSPERO registration number: CRD42023374185.
The meta-analysis included 11 studies with 1278 patients. MR severity, leaflet length/thickness, curling, MAD distance, and mapping techniques were not meta-analyzed as reported in < 3 studies. LV end-diastolic volume index, LV ejection fraction, and prolapse distance showed small non-significant effect sizes. LGE showed a strong and significant association with co-VA with a LogORs of 2.12 (95% confidence interval (CI): [1.00, 3.23]), for MAD the log odds-ratio was 0.95 (95% CI: [0.30, 1.60]). The predictive accuracy of LGE was substantial, with a hierarchical summary ROC AUC of 0.83 (95% CI: [0.69, 0.91]) and sensitivity and specificity rates of 0.70 (95% CI: [0.41, 0.89]) and 0.80 (95% CI: [0.67, 0.89]), respectively.
Our study highlights the role of LGE as the key CMR feature for arrhythmia risk stratification in MVP patients. MAD might complement arrhythmic risk stratification.
LGE is a key factor for arrhythmogenic risk in MVP patients, with additional contribution from MAD. Combining MRI findings with clinical characteristics is critical for evaluating and accurately stratifying arrhythmogenic risk in MVP patients.
MVP affects 2-3% of the population, with some facing increased risk for arrhythmia. LGE can assess arrhythmia risk, and MAD may further stratify patients. CMR is critical for MVP arrhythmia risk stratification, making it essential in a comprehensive evaluation.
对评估二尖瓣脱垂(MVP)患者心律失常风险分层的心脏磁共振(CMR)特征的研究进行系统回顾和荟萃分析。
在 EMBASE、PubMed/MEDLINE 和 CENTRAL 中检索报告 MVP 患者接受 CMR 评估的研究:左心室(LV)大小和功能、二尖瓣反流(MR)、脱垂距离、二尖瓣环分离(MAD)、卷曲、晚期钆增强(LGE)和 T1 映射,并报告与心律失常的相关性。主要终点是由任何非持续性室性心动过速、持续性室性心动过速、心室颤动或心源性猝死引起的复杂室性心律失常(co-VAs)。当至少有 3 项研究评估了 CMR 特征时,进行荟萃分析。PROSPERO 注册号:CRD42023374185。
荟萃分析纳入了 11 项研究共 1278 例患者。MR 严重程度、瓣叶长度/厚度、卷曲、MAD 距离和映射技术未报告<3 项研究。LV 舒张末期容积指数、LV 射血分数和脱垂距离显示出较小的非显著效应大小。LGE 与 co-VA 具有强烈且显著的关联,MAD 的对数优势比为 0.95(95%置信区间(CI):[0.30, 1.60])。LGE 的预测准确性较高,分层汇总 ROC AUC 为 0.83(95%CI:[0.69, 0.91]),灵敏度和特异性分别为 0.70(95%CI:[0.41, 0.89])和 0.80(95%CI:[0.67, 0.89])。
我们的研究强调了 LGE 作为 MVP 患者心律失常风险分层的关键 CMR 特征的作用。MAD 可能补充心律失常风险分层。
LGE 是 MVP 患者致心律失常风险的关键因素,MAD 有额外贡献。将 MRI 发现与临床特征相结合对于评估和准确分层 MVP 患者的致心律失常风险至关重要。
MVP 影响 2-3%的人群,其中一些人面临心律失常风险增加。LGE 可评估心律失常风险,MAD 可进一步分层患者。CMR 对 MVP 心律失常风险分层至关重要,因此在综合评估中必不可少。