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是否需要新的心电图标准诊断左心室肥厚?以 Peguero-Lo Presti 标准为例。一篇综述。

Do We Need New Electrocardiographic Criteria for Left Ventricular Hypertrophy? The Case of the Peguero-Lo Presti Criterion. A Narrative Review.

机构信息

Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy.

Department of Clinical Sciences and Community Health, University of Milano, Milano, Italy.

出版信息

Am J Hypertens. 2024 Feb 15;37(3):155-162. doi: 10.1093/ajh/hpad117.

Abstract

The cardiovascular risk associated with left ventricular hypertrophy (LVH) in the community and, particularly, in the hypertensive fraction of the general population, represents the rationale for its timely and accurate identification in order to implement adequate preventive strategies. Although electrocardiography (ECG) is the first-line and most economical method of diagnosing LVH its accuracy is largely suboptimal. Over the last 70 years, dozens of different ECG criteria, mostly based on measurements of QRS voltages, have been proposed. In this long journey, a few years ago Peguero et al. developed a novel ECG voltage criterion, currently recognized as Peguero-Lo Presti (PLP) suggesting that it has greater sensitivity than traditional ECG-LVH criteria. Considering that in the last 5 years numerous studies have investigated the diagnostic value of this new index, this review aimed to summarize the data published so far on this topic focusing both on the accuracy in identifying the presence of LVH compared with imaging techniques such as echocardiography (ECHO) and magnetic resonance imaging (MRI) and the value in predicting hard outcomes. The evidence in favor of the greater diagnostic accuracy of the PLP criterion in detecting LVH, phenotyped by ECHO or MRI, and in the stratification of hard outcomes compared with traditional ECG criteria does not appear to be sufficiently proven. Given that the diagnosis of LVH by all ECG criteria (including the PLP) exclusively based on the QRS amplitude is largely imprecise, the development of new multiparametric ECG criteria based on artificial intelligence could represent a real improvement in the diagnostic capacity of the ECG.

摘要

左心室肥厚(LVH)与心血管风险相关,尤其是在普通人群中的高血压患者中,这代表了及时准确识别 LVH 的基本原理,以便实施适当的预防策略。虽然心电图(ECG)是诊断 LVH 的一线且最经济的方法,但它的准确性在很大程度上并不理想。在过去的 70 年中,已经提出了几十种不同的 ECG 标准,这些标准大多基于 QRS 电压的测量。在这漫长的历程中,几年前,Peguero 等人提出了一种新的 ECG 电压标准,目前被称为 Peguero-Lo Presti(PLP)标准,该标准被认为比传统的 ECG-LVH 标准具有更高的敏感性。考虑到在过去的 5 年中,已经有许多研究调查了这个新指标的诊断价值,因此,这篇综述旨在总结迄今为止关于该主题的研究数据,重点关注与超声心动图(ECHO)和磁共振成像(MRI)等成像技术相比,该新指数在识别 LVH 存在方面的准确性,以及在预测硬终点方面的价值。目前看来,PLP 标准在检测由 ECHO 或 MRI 表型的 LVH 方面以及在硬终点分层方面比传统 ECG 标准具有更高的诊断准确性的证据似乎还不够充分。鉴于所有 ECG 标准(包括 PLP)仅基于 QRS 幅度诊断 LVH 的准确性不高,因此基于人工智能的新多参数 ECG 标准的开发可能会极大地提高 ECG 的诊断能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3639/10906064/5f6f055ba034/hpad117_fig2.jpg

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