Do We Need New Electrocardiographic Criteria for Left Ventricular Hypertrophy? The Case of the Peguero-Lo Presti Criterion. A Narrative Review.
Andrea FaggianoElisa GherbesiMarijana TadicStefano CarugoGuido GrassiCesare CuspidiPublished in: American journal of hypertension (2024)
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.
Keyphrases
- heart rate variability
- left ventricular
- heart rate
- magnetic resonance imaging
- artificial intelligence
- contrast enhanced
- cardiac resynchronization therapy
- heart failure
- blood pressure
- computed tomography
- diffusion weighted imaging
- magnetic resonance
- machine learning
- healthcare
- deep learning
- diffusion weighted
- randomized controlled trial
- hypertrophic cardiomyopathy
- left atrial
- pulmonary hypertension
- weight loss
- acute coronary syndrome
- mass spectrometry
- photodynamic therapy
- electronic health record
- functional connectivity
- percutaneous coronary intervention
- aortic stenosis
- resting state
- fluorescence imaging
- bioinformatics analysis