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心脏磁共振特征追踪技术分析左心房应变对急性心肌炎患者的预后价值

Prognostic value of left atrial strain analysis using cardiac magnetic resonance feature tracking technology for patients with acute myocarditis.

作者信息

Chen Yu, Tang Chaohui, Wang Guokun, Li Yunling, Zhao Yanming, Lian Jianxiu, Xu Bing, Sun Changbin, Li Zhenhua, Li Shuo, Jin Cheng, Yu Bo, Liu Shengliang, Gu Xia

机构信息

Department of Cardiology, the Second Affiliated Hospital of Harbin Medical University, Harbin, China.

The Key Laboratory of Myocardial Ischemia, Chinese Ministry of Education, Harbin, China.

出版信息

Quant Imaging Med Surg. 2025 Sep 1;15(9):7862-7873. doi: 10.21037/qims-2025-849. Epub 2025 Aug 14.

Abstract

BACKGROUND

Acute myocarditis (AM) is induced by multiple factors, and its clinical symptoms and prognosis vary significantly. Existing diagnostic and prognostic assessment methods have certain limitations. Myocardial strain analysis based on cardiac magnetic resonance feature tracking (CMR-FT) can detect myocardial damage in the subclinical stage, but studies on the correlation between left atrial (LA) strain and the prognosis of AM are relatively limited. This study aimed to assess whether impaired LA strain parameters based on CMR-FT-derived techniques can be used to predict AM outcomes.

METHODS

A retrospective cohort study was conducted on the clinical and functional parameters, including LA strain, of 91 patients diagnosed with AM between September 2020 and June 2022. The patients were stratified into the following two groups according to the presence or absence of major adverse cardiovascular events (MACEs): the MACE group, and the non-MACE group. The MACEs identified in our study were: (I) cardiovascular death; (II) hospital admission for heart failure; (III) severe arrhythmia (frequent ventricular extrasystole, ventricular tachycardia, or ventricular fibrillation); and (IV) dilated cardiomyopathy (DCM). The receiver operating characteristic (ROC) curve was used to define a threshold value for the classification between MACEs and no MACEs, and a Cox regression analysis was then used to evaluate the effects of the cardiac magnetic resonance (CMR)-derived parameters on the occurrence of MACEs in the AM patients.

RESULTS

Of the 91 AM patients (34.9±18.6 years; 51 males), 13 (14.3%) experienced MACEs during the 1-year follow-up period. In our study, LA longitudinal strain parameters, including reservoir, conduit, and booster function, were significantly reduced in the AM patients in the MACE group compared to the non-MACE group. Specifically, LA reservoir strain was 44.4% (interquartile range, 31.1-66.1%) and 20.6% (interquartile range, 9.9-33.1%) (P=0.002), conduit strain was 22.6% (interquartile range, 15.8-35.1%) and 10.5% (interquartile range, 4.7-13.0%) (P=0.003), and booster strain was 21.4%±14.7% and 10.6%±7.7% (P=0.004) in the non-MACE group and the MACE group, respectively. Among the parameters, reservoir LA longitudinal strain was valuable in diagnosing the development of MACEs in the AM patients [area under the curve (AUC) =0.772, P<0.05], and the survival rate was higher in those with reservoir LA longitudinal strain >25.6%.

CONCLUSIONS

CMR-derived LA reservoir strain could be used to predict the long-term survival prognosis of AM patients.

摘要

背景

急性心肌炎(AM)由多种因素诱发,其临床症状和预后差异显著。现有的诊断和预后评估方法存在一定局限性。基于心脏磁共振特征追踪(CMR-FT)的心肌应变分析能够在亚临床阶段检测到心肌损伤,但关于左心房(LA)应变与AM预后相关性的研究相对有限。本研究旨在评估基于CMR-FT衍生技术的LA应变参数受损是否可用于预测AM的预后。

方法

对2020年9月至2022年6月期间确诊为AM的91例患者的临床和功能参数(包括LA应变)进行回顾性队列研究。根据是否发生主要不良心血管事件(MACE)将患者分为以下两组:MACE组和非MACE组。本研究确定的MACE包括:(I)心血管死亡;(II)因心力衰竭住院;(III)严重心律失常(频发室性早搏、室性心动过速或心室颤动);以及(IV)扩张型心肌病(DCM)。采用受试者工作特征(ROC)曲线确定MACE与非MACE分类的阈值,然后使用Cox回归分析评估心脏磁共振(CMR)衍生参数对AM患者发生MACE的影响。

结果

91例AM患者(年龄34.9±18.6岁;男性51例)中,13例(14.3%)在1年随访期内发生MACE。在本研究中,与非MACE组相比,MACE组AM患者的LA纵向应变参数,包括储存、管道和增强功能,均显著降低。具体而言,非MACE组和MACE组的LA储存应变分别为44.4%(四分位间距,31.1 - 66.1%)和20.6%(四分位间距,9.9 - 33.1%)(P = 0.002),管道应变分别为22.6%(四分位间距,15.8 - 35.1%)和10.5%(四分位间距,4.7 - 13.0%)(P = 0.003),增强应变分别为21.4%±14.7%和10.6%±7.7%(P = 0.004)。在这些参数中,储存LA纵向应变对于诊断AM患者MACE的发生具有价值[曲线下面积(AUC) = 0.772,P < 0.05],储存LA纵向应变>25.6%的患者生存率更高。

结论

CMR衍生的LA储存应变可用于预测AM患者的长期生存预后。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb16/12397619/4bd8998a3eef/qims-15-09-7862-f1.jpg

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