Division of Cardiology, Weill Cornell Medical College, New York, NY.
AMPS-LLC, New York, NY.
Am Heart J. 2018 Jun;200:1-10. doi: 10.1016/j.ahj.2018.02.014. Epub 2018 Feb 26.
Automated measurements of electrocardiographic (ECG) intervals by current-generation digital electrocardiographs are critical to computer-based ECG diagnostic statements, to serial comparison of ECGs, and to epidemiological studies of ECG findings in populations. A previous study demonstrated generally small but often significant systematic differences among 4 algorithms widely used for automated ECG in the United States and that measurement differences could be related to the degree of abnormality of the underlying tracing. Since that publication, some algorithms have been adjusted, whereas other large manufacturers of automated ECGs have asked to participate in an extension of this comparison.
Seven widely used automated algorithms for computer-based interpretation participated in this blinded study of 800 digitized ECGs provided by the Cardiac Safety Research Consortium. All tracings were different from the study of 4 algorithms reported in 2014, and the selected population was heavily weighted toward groups with known effects on the QT interval: included were 200 normal subjects, 200 normal subjects receiving moxifloxacin as part of an active control arm of thorough QT studies, 200 subjects with genetically proved long QT syndrome type 1 (LQT1), and 200 subjects with genetically proved long QT syndrome Type 2 (LQT2).
For the entire population of 800 subjects, pairwise differences between algorithms for each mean interval value were clinically small, even where statistically significant, ranging from 0.2 to 3.6milliseconds for the PR interval, 0.1 to 8.1milliseconds for QRS duration, and 0.1 to 9.3milliseconds for QT interval. The mean value of all paired differences among algorithms was higher in the long QT groups than in normals for both QRS duration and QT intervals. Differences in mean QRS duration ranged from 0.2 to 13.3milliseconds in the LQT1 subjects and from 0.2 to 11.0milliseconds in the LQT2 subjects. Differences in measured QT duration (not corrected for heart rate) ranged from 0.2 to 10.5milliseconds in the LQT1 subjects and from 0.9 to 12.8milliseconds in the LQT2 subjects.
Among current-generation computer-based electrocardiographs, clinically small but statistically significant differences exist between ECG interval measurements by individual algorithms. Measurement differences between algorithms for QRS duration and for QT interval are larger in long QT interval subjects than in normal subjects. Comparisons of population study norms should be aware of small systematic differences in interval measurements due to different algorithm methodologies, within-individual interval measurement comparisons should use comparable methods, and further attempts to harmonize interval measurement methodologies are warranted.
当前一代数字心电图机对心电图(ECG)间期的自动测量对于基于计算机的心电图诊断声明、心电图的连续比较以及人群心电图结果的流行病学研究至关重要。先前的一项研究表明,在美国广泛使用的 4 种用于自动心电图的算法之间存在普遍较小但通常具有显著意义的系统差异,并且测量差异可能与潜在迹线的异常程度有关。自该出版物发布以来,一些算法已经进行了调整,而其他大型自动化心电图制造商则要求参与该比较的扩展。
七种广泛使用的用于计算机解读的自动化算法参与了这项由心脏安全研究联盟提供的 800 份数字化心电图的盲法研究。所有描记图均与 2014 年报告的 4 种算法的研究不同,所选人群主要偏向于已知会影响 QT 间期的人群:包括 200 名正常受试者、200 名接受莫西沙星作为彻底 QT 研究主动对照臂一部分的正常受试者、200 名遗传性证实的长 QT 综合征 1 型(LQT1)患者和 200 名遗传性证实的长 QT 综合征 2 型(LQT2)患者。
对于 800 名受试者的整个群体,每个平均间隔值的算法之间的成对差异在临床上很小,即使在统计学上有显著差异,PR 间隔为 0.2 至 3.6 毫秒,QRS 持续时间为 0.1 至 8.1 毫秒,QT 间隔为 0.1 至 9.3 毫秒。在 QRS 持续时间和 QT 间隔方面,长 QT 组中所有算法之间的平均差异均高于正常组。LQT1 受试者的 QRS 持续时间差异在 0.2 至 13.3 毫秒之间,LQT2 受试者的差异在 0.2 至 11.0 毫秒之间。未校正心率的 QT 持续时间(QT 持续时间)的测量差异在 LQT1 受试者中为 0.2 至 10.5 毫秒,在 LQT2 受试者中为 0.9 至 12.8 毫秒。
在当前一代基于计算机的心电图机中,个别算法的心电图间期测量存在临床意义较小但统计学意义显著的差异。在长 QT 间期受试者中,QRS 持续时间和 QT 间期算法之间的测量差异大于正常受试者。人群研究规范的比较应注意由于不同算法方法引起的间期测量中的小系统差异,个体间期测量的比较应使用可比方法,进一步协调间期测量方法是合理的。