心电图指标在慢性肾脏病预后预测中的应用综述

A comprehensive review on the application of electrocardiographic indexes in predicting the prognosis of chronic kidney disease

  • 摘要: 摘要:心血管疾病是导致慢性肾脏病(chronic kidney disease,CKD)患者死亡的主要原因,尤其是心源性猝死和致命性心律失常。心电图(electrocardiogram,ECG)作为一种临床广泛应用且成本低廉的心脏电生理检测工具,对于早期发现心脏病变和预测心血管预后具有重要意义。探究CKD预后预测相关的ECG指标不仅可以作为可靠的预后因子,还可为进一步阐明CKD发病机制提供有效证据,从而为CKD治疗提供靶点,延缓疾病进展。本文将从基于ECG分析的自主神经功能、ECG时间间期以及ECG波形形态学指标三个方面对ECG指标在CKD预后预测中的研究进展进行综述。

     

    Abstract: Abstract: Cardiovascular diseases are the leading cause of death in patients with chronic kidney disease (CKD), especially sudden cardiac death and fatal arrhythmias. The electrocardiogram (ECG), as a widely used and cost-effective cardiac electrophysiological diagnostic tool, plays a significant role in the early detection of cardiac abnormalities and the prediction of cardiovascular prognosis. Investigating ECG indexes related to the prognosis prediction of CKD can not only serve as reliable prognostic indicators but also provide effective evidence for further elucidating the pathogenesis of CKD, thereby offering targets for CKD treatment and slowing disease progression. This article will review the research progress of ECG indexes in predicting the prognosis of CKD from three aspects based on ECG analysis: autonomic nervous function, ECG time interval and ECG waveform morphological indexes.

     

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