Peguero-Lo Presti criteria modified by body surface area for the electrocardiographic diagnosis of left ventricular hypertrophy in Thai patients

根据体表面积改良的Peguero-Lo Presti标准用于泰国患者左心室肥厚的心电图诊断

阅读:1

Abstract

BACKGROUND: Several electrocardiographic (ECG) criteria are used to diagnose left ventricular hypertrophy (LVH); however, they have low sensitivity. OBJECTIVE: To assess the sensitivity of LVH diagnosis using Peguero-Lo Presti criteria modified by body surface area (BSA). METHODS: This study used retrospective data from 9,438 patients who attended the Central Chest Institute of Thailand from January 2017 to December 2017 with available echocardiography, and who were categorized into those with and without LVH to determine diagnostic accuracy. We randomly selected 317 patients after excluding others based on various conditions. The left ventricular mass of the 317 patients was estimated using echocardiography. Peguero-Lo Presti criteria were modified by dividing original criteria by BSA. The accuracy of the modified criteria was compared with that of the original Peguero-Lo Presti, Sokolow-Lyon, and Cornell voltage criteria. A McNemar test was used to determine the agreement of all ECG criteria examined with LV mass index. The area under a receiver operating characteristic curve (AUC) was used to assess the performance of the criteria. RESULTS: LVH was diagnosed in 164 of the 317 patients using echocardiography. The sensitivity of modified Peguero-Lo Presti criteria was 50.6% (95% confidence interval [CI] 42.7% to 58.5%), and specificity was 88.2% (95% CI 82.0% to 92.9%), with an AUC of 0.67 (95% CI 0.61-0.73). CONCLUSIONS: Peguero-Lo Presti criteria modified by dividing them by BSA can improve sensitivity with acceptable specificity for the diagnosis of LVH compared with other ECG criteria examined, at least in selected Thai patients. The modified Peguero-Lo Presti criteria have accuracy similar to that for the original criteria.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。