Chen Xiaoxia, Li Li, Xu Xuanhao, Xia Lei, Liu Chao, Shen Chengxing, Luo Yukun
Department of Cardiology, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.
General Medicine Department, Fuzhou NO. 1 Hospital Affiliated with Fujian Medical University, Fuzhou, Fujian, China.
Front Cardiovasc Med. 2025 May 27;12:1577662. doi: 10.3389/fcvm.2025.1577662. eCollection 2025.
Magnetocardiography (MCG), as a high-sensitivity, non-contact and non-invasive technology, is assumed to detect weak electrophysiological changes. MCG can detect early signs of myocardial ischemia that may be missed by other diagnostic tools. Present research aims to evaluate the possibility of using MCG to detect left ventricular hypertrophy (LVH).
The study included 481 participants, categorized into two groups according to echocardiographic criteria: the LVH group and the non-LVH group. We evaluated the performance of the MCG-derived diagnostic model for detecting LVH in the retrospective cohort and performed external validation in the prospective cohort. Using echocardiography as the reference standard, we assessed the model's area under the curve (AUC) value, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy.
MCG parameters (S + R, QRS area, QRS-T area, DM, TT_MA) were incorporated into a logistic regression model, which produced an AUC of 0.844 (95% CI: 0.792-0.895) for the retrospective cohort. The sensitivity, specificity, PPV, NPV, and accuracy were 72.2%, 85.8%, 67.3%, 88.4%, and 81.9%. In the prospective cohort, the model exhibited an AUC of 0.782 (95% CI: 0.697-0.866), and the sensitivity, specificity, PPV, NPV, and accuracy were 63.6%, 86.5%, 74.5%, 79.4%, and 77.8%, respectively.
Besides myocardial ischemia, MCG also provides useful information suggestive of LVH.
磁心动图(MCG)作为一种高灵敏度、非接触且无创的技术,被认为能够检测到微弱的电生理变化。MCG可以检测出其他诊断工具可能遗漏的心肌缺血早期迹象。目前的研究旨在评估使用MCG检测左心室肥厚(LVH)的可能性。
该研究纳入了481名参与者,根据超声心动图标准分为两组:LVH组和非LVH组。我们在回顾性队列中评估了基于MCG的诊断模型检测LVH的性能,并在前瞻性队列中进行了外部验证。以超声心动图作为参考标准,我们评估了该模型的曲线下面积(AUC)值、灵敏度、特异性、阳性预测值(PPV)、阴性预测值(NPV)和准确性。
将MCG参数(S + R、QRS面积、QRS - T面积、DM、TT_MA)纳入逻辑回归模型,该模型在回顾性队列中的AUC为0.844(95% CI:0.792 - 0.895)。灵敏度、特异性、PPV、NPV和准确性分别为72.2%、85.8%、67.3%、88.4%和81.9%。在前瞻性队列中,该模型的AUC为0.782(95% CI:0.697 - 0.866),灵敏度、特异性、PPV、NPV和准确性分别为63.6%、86.5%、74.5%、79.4%和77.8%。
除了心肌缺血外,MCG还提供了提示LVH的有用信息。