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 通过比较二胎孕妇和初产孕妇心电图变化探讨其对妊娠结局的影响。方法 随机选取300例孕妇,其中150例二胎孕妇为观察组,150例初产孕妇为对照组。观察2组孕妇异常心电图的类型及发生率,分析异常心电图与妊娠结局的关系。结果 初产孕妇组异常心电图35例,心电图异常发生率为23.3%,二胎孕妇组异常心电图50例,心电图异常发生率为33.3%,两组心电图异常发生率差别有统计学意义(P<0.05)。二胎孕妇组窦性心动过速、室性早搏及ST-T改变的发生率显著高于初产孕妇组,差异有统计学意义(P<0.05)。二胎孕妇心电图异常组的剖宫产率和早产率均高于二胎孕妇心电图正常组、初产孕妇心电图正常组,差别有统计学意义(P>0.05)。结论 二胎孕妇易合并心电图异常改变,心电图异常会增加剖宫产和早产的发生率,临床医生在诊治此类患者时应提高警惕。

Objective To observe the relationship between electrocardiogram(ECG) and pregnancy outcomes of the second pregnant women. Methods Pregnant women were divided into two groups by parity history: the second pregnancy group and the Primipara group. The incidence of abnormal electrocardiogram was recorded, then the pregnancy outcome including the delivery mode and the premature birth rate were followed up. Results The incidence of abnormal ECG in the second pregnancy group was significantly higher than that in primipara group(P<0.05) and the incidences of Nodal tachycardia, Premature ventricular contraction, ST-T changes in the group of the second pregnancy were higher than that in the group of Primipara (P<0.05). The incidence of cesarean delivery and premature birth in the second pregnancy group with abnormal ECG group was significantly higher than that in pregnant women with normal ECG group (P<0.05). Conclusion The second pregnant women are more likely to have ECG abnormality, the pregnant women with abnormal ECG are easily suffer from cesarean delivery and premature birth.