扩张型心肌病患者磁共振下心肌特征与室性心律失常的关系

目的:探究非缺血性扩张型心肌病(NIDCM)患者磁共振下心肌强化特征与发生室性心律失常(VA)事件的关系,找出相关危险因素。方法:将2019年11月—2021年7月于郑州大学第一附属医院就诊的154例NIDCM患者纳入研究。根据发生VA事件的情况将其分为对照组及失常组,比较两组患者的一般资料及心脏磁共振延迟强化(LGE-CMR)下心肌特征。通过logistic回归分析相关危险因素,并应用受试者工作特征(ROC)曲线分析危险因素的诊断价值。结果:失常组的左室心肌质量(LVM)低于对照组,而年龄、左室舒张末期容积(EDV)、收缩末期容积(ESV)和胺碘酮的应用人数高于对照组(P<0.05)。LGE-CMR下失常组心肌的灰色区占比高于对照组(P<0.05),灰色区体积、强化区体积及占比无明显差异。logistic回归提示灰色区占比增加、年龄增大及ESV增大是发生VA的危险因素,而高LVM则为保护因素(P<0.05)。其中灰色区占比、年龄及LVM诊断VA的曲线下面积(AUC)分别为0.662、0.646和0.607。结论:年龄和灰色区占比增大是NIDCM患者发生VA的独立危险...

The relationship between ventricular arrhythmia and myocardial characteristics in magnetic resonance imaging in patients with dilated cardiomyopathy

Objective: The study was performed to explore the relationship between the characteristics of myocardial enhancement and ventricular arrhythmia(VA) in patients with non-ischemic dilated cardiomyopathy(NIDCM) by using magnetic resonance imaging, and identify relevant risk factors. Methods: A total of 154 NIDCM patients in the First Affiliated Hospital of Zhengzhou University from November 2019 to July 2021 were enrolled. The patients were divided into control and arrythmia groups based on the occurrence of VA events. The basic data and myocardial characteristics in late gadolinium-enhanced cardiac magnetic resonance(LGE-CMR) of the two groups were compared. The risk factors were analyzed by logistic regression and used to analyze the diagnostic value by ROC curve. Results: The left ventricular mass(LVM) in the control group was higher than that in the arrythmia group, but the age, left ventricular end diastolic volume(EDV), end systolic volume(ESV) and number of amiodarone users were lower than those in the arrythmia group(P<0.05). Using the LGE-CMR, the proportion of gray zone in the control group was lower than that in the arrythmia group(P<0.05), and there was no significant difference in the volume of gray zone, the volume and proportion of enhancement area(P>0.05). Logistic regression showed that the increase of age, ESV and proportion of gray zone were the risk factors of VA, while the high LVM was the protective factor. And the area under curve(AUC) of proportion of gray zone, age and LVM in VA diagnosis were 0.662, 0.646 and 0.607 respectively. Conclusion: The increase in age and the proportion of gray zone are independent risk factors for VA in NIDCM patients, and higher LVM plays a protective role.