目的 探讨多模态深度学习融合心脏超声与心电图特征对冠心病患者心源性猝死的预测价值。方法 选取2024年1月—2025年6月收治的60例冠心病患者，所有患者均接受心脏超声、心电图检查及多模态深度学习模型预测，随访6个月记录心源性猝死事件。根据随访结果分为事件组（n=15）和非事件组（n=45），比较两组临床资料及各项指标差异。结果 多模态深度学习模型预测敏感度为86.67%，特异度为91.11%，准确率为90.00%，AUC为0.923，显著优于单独心脏超声（AUC=0.761）和单独心电图（AUC=0.788）。结论 多模态深度学习融合心脏超声与心电图特征能够有效预测冠心病患者心源性猝死风险，预测性能优于传统单一模态评估方法。

      Objective To investigate the predictive value of multimodal deep learning integrating echocardiography and electrocardiogram features for sudden cardiac death in patients with coronary heart disease．Methods A total of 60 patients with coronary heart disease admitted from January 2024 to June 2025 were enrolled．All patients underwent echocardiography，electrocardiogram examination，and multimodal deep learning model prediction，with a 6-month follow-up to record sudden cardiac death events．According to the follow-up results，patients were divided into the event group（n=15） and non-event group（n=45），and clinical data and various indicators were compared between the two groups．Results The multimodal deep learning model achieved a sensitivity of 86.67%，specificity of 91.11%，accuracy of 90.00%，and AUC of 0.923，which were significantly superior to echocardiography alone（AUC=0.761） and electrocardiogram alone（AUC=0.788）．Conclusions Multimodal deep learning integrating echocardiography and electrocardiogram features can effectively predict the risk of sudden cardiac death in patients with coronary heart disease，with predictive performance superior to traditional single-modality assessment methods．

目的 探讨心肌细胞RyR2和L型钙通道的基因变异与室性心律失常和心源性猝死的相关性。方法 回顾分析2010年1月—2012年12月在我院就诊的慢性心力衰竭患者622例的临床资料,并选取同一时期体检中心体检的健康人群516例作为对照组,门诊或者电话随访记录慢性心力衰竭患者的死亡为终点,通过候选基因分析可能具有相关功能的4个基因变异,rs41315858(G1885E)、rs3766871(G1886S)、rs790896(G>A)和rs723672(T>C),采用Logestic、Cox回归分析对4个候选基因变异进行相关性研究。结果 入选622例慢性心力衰竭患者和516例对照组,基因分析结果显示RyR2上的基因变异rs376687lA等位基因携带可以增加慢性心力衰竭患者发生室性心律失常的风险性;校正可能与该疾病相关的危险因素后,rs376687lA等位基因携带会增加心源性死亡和心源性猝死的风险,RyR2上的基因变异rs790896A等位基因携带可以降低心源性猝死风险。结论 RyR2上的基因变异rs376687lA是室性心律失常和心源性猝死的遗传学预测因子,而rs790896A等位基因是慢性心力衰竭患者的保护因子,可降低室性心律失常和心源性猝死的风险。

Objective To investigate the myocardial cells RyR2 and L-type calcium channel gene variants with ventricular arrhythmias and sudden cardiac death correlation. Methods Retrospective analysis of patients with chronic heart failure from January 2010 to December 2012 in our hospital including 622 cases of clinical data, and to select 516 cases of healthy people in medical examination center during the same period as a control group.Clinic or telephone follow-up recorded chronic patients with heart failure and sudden death acting as end. We analyzed possible candidate genes, according to four gene variants related functions, rs41315858 (G1885E), rs3766871 (G1886S), rs790896 (G> A) and rs723672 (T> C), by using Logestic, Cox regression analysis of four candidate gene variants for related research. Results 622 cases of chronic heart failure patients were enrolled and 516 patients in the control group. Genetic analysis showed that the gene variant alleles carried rs376687lA RyR2 may increase in patients with chronic heart failure ventricular arrhythmia risk; correction may be associated with the disease after risk factors, rs376687lA allele carries an increased risk of cardiogenic death and sudden cardiac death, and gene mutation alleles carried on rs790896A RyR2 can reduce the risk of sudden cardiac death. Conclusion Gene mutation rs376687lA RyR2 on genetics is predictor of ventricular arrhythmias and sudden cardiac death, and rs790896A allele is protective factor in patients with chronic heart failure which can be reduced ventricular arrhythmias and sudden cardiac death in risk.