P波参数与形态对心房颤动及其他心血管疾病的预测作用

Predictive Role of P-Wave Parameters and Morphology for Atrial Fibrillation and Other Cardiovascular Diseases

心房颤动是最常见的心律失常,其特点是快速和异常的心房激活导致心房功能受损。因P波特征的任何偏转都意味着心房激活时间和传导途径的变化,因此,了解P波典型形态学改变以及异常P波参数与心房颤动间的联系可做到早期心房颤动的精准预测。现重点介绍P波形态、P波参数与心房颤动的联系,探索基于人工智能技术下P波对心房颤动的预测价值,以及P波参数对其他心血管疾病的预测作用,为将来P波对心房颤动和其他心血管疾病发生的早期识别提供一种新的手段。

Atrial fibrillation is the most common arrhythmia,characterized by rapid and abnormal atrial activation leading to impaired atrial function.Any deflection of P-wave characteristics implies changes in atrial activation time and conduction pathway,so understanding the typical morphological changes of P-wave and the relationship between abnormal P-wave parameters and atrial fibrillation can lead to accurate prediction of early atrial fibrillation.This review described the P-wave morphology,the mechanism of association between P-wave parameters and atrial fibrillation,and explore the predictive value of P-wave for atrial fibrillation based on artificial intelligence technology,as well as the predictive effects of P-wave parameters on other cardiovascular disease.It provides a new method for early recognition of P-wave as atrial fibrillation and other cardiovascular diseases in the future.