Montefiore Medical Center, Department of Medicine, Division of Cardiology, Bronx, NY.
Albert Einstein College of Medicine, Bronx, NY.
Am J Med. 2020 Sep;133(9):e495-e500. doi: 10.1016/j.amjmed.2020.01.042. Epub 2020 Mar 17.
Electrocardiography (ECG) is poorly sensitive, but highly specific for the diagnosis of left ventricular hypertrophy. However, previous studies documenting this were small and lacked patient diversity. Furthermore, little is known about the impact of patient characteristics on the sensitivity and specificity of ECG for left ventricular hypertrophy. To address this issue, the present study was conducted to ascertain the sensitivity and specificity of ECG for left ventricular hypertrophy in a large, diverse patient population.
We performed a retrospective cohort study using ECG and echocardiography (ECHO) data from a large metropolitan health system. All patients had one ECG and ECHO on file, obtained within 1 week of each other. Sensitivity and specificity of ECG for left ventricular hypertrophy were determined by comparing results from the MUSE® 12-SL (GE Healthcare, Chicago, IL) computer-generated algorithm for ECG to ECHO left ventricular mass index. Subgroup analyses of individual patient characteristics were performed with corresponding chi-squared analyses to determine significance.
A total of 13,960 subjects were included in the study. The typical subject was 60 years of age or older, female, overweight, and hypertensive, and demonstrated low socioeconomic status. The sensitivity and specificity of ECG for left ventricular hypertrophy in the overall cohort were 30.7% and 84.4%, respectively, with multiple patient characteristics influencing these results.
This is the first study to confirm the sensitivity and specificity of ECG for left ventricular hypertrophy in a large, diverse patient population with significant minority representation. Furthermore, although these statistical measures are influenced by patient characteristics, such differences are likely not clinically significant.
心电图(ECG)对左心室肥厚的诊断虽然敏感度较低,但特异性较高。然而,之前记录这些内容的研究规模较小,且缺乏患者多样性。此外,人们对患者特征对心电图诊断左心室肥厚的敏感度和特异性的影响知之甚少。为了解决这个问题,本研究旨在确定心电图在大型、多样化患者群体中诊断左心室肥厚的敏感度和特异性。
我们使用来自一个大型都市卫生系统的心电图和超声心动图(ECHO)数据进行了回顾性队列研究。所有患者均有一份心电图和 ECHO 记录,这些记录在彼此获得后的 1 周内获得。通过比较 MUSE® 12-SL(通用电气医疗集团,芝加哥,IL)心电图计算机生成算法的结果与 ECHO 左心室质量指数,确定心电图诊断左心室肥厚的敏感度和特异性。通过相应的卡方分析对个体患者特征的亚组分析,以确定其显著性。
共有 13960 名患者纳入本研究。典型患者为 60 岁或以上,女性,超重,高血压,且社会经济地位较低。在整个队列中,心电图诊断左心室肥厚的敏感度和特异性分别为 30.7%和 84.4%,多个患者特征影响了这些结果。
这是第一项在具有显著少数民族代表性的大型、多样化患者群体中确认心电图诊断左心室肥厚的敏感度和特异性的研究。此外,尽管这些统计学指标受到患者特征的影响,但这些差异可能在临床上并不显著。