Andršová Irena, Hnatkova Katerina, Toman Ondřej, Šišáková Martina, Smetana Peter, Huster Katharina M, Barthel Petra, Novotný Tomáš, Schmidt Georg, Malik Marek
Department of Internal Medicine and Cardiology, University Hospital Brno, Brno, Czech.
Department of Internal Medicine and Cardiology, Faculty of Medicine, Masaryk University, Brno, Czech.
Front Physiol. 2022 Aug 30;13:939633. doi: 10.3389/fphys.2022.939633. eCollection 2022.
Three-dimensional angle between the QRS complex and T wave vectors is a known powerful cardiovascular risk predictor. Nevertheless, several physiological properties of the angle are unknown or poorly understood. These include, among others, intra-subject profiles and stability of the angle relationship to heart rate, characteristics of angle/heart-rate hysteresis, and the changes of these characteristics with different modes of QRS-T angle calculation. These characteristics were investigated in long-term 12-lead Holter recordings of 523 healthy volunteers (259 females). Three different algorithmic methods for the angle computation were based on maximal vector magnitude of QRS and T wave loops, areas under the QRS complex and T wave curvatures in orthogonal leads, and weighted integration of all QRS and T wave vectors moving around the respective 3-dimensional loops. These methods were applied to orthogonal leads derived either by a uniform conversion matrix or by singular value decomposition (SVD) of the original 12-lead ECG, giving 6 possible ways of expressing the angle. Heart rate hysteresis was assessed using the exponential decay models. All these methods were used to measure the angle in 659,313 representative waveforms of individual 10-s ECG samples and in 7,350,733 individual beats contained in the same 10-s samples. With all measurement methods, the measured angles fitted second-degree polynomial regressions to the underlying heart rate. Independent of the measurement method, the angles were found significantly narrower in females ( < 0.00001) with the differences to males between 10 and 20, suggesting that in future risk-assessment studies, different angle dichotomies are needed for both sexes. The integrative method combined with SVD leads showed the highest intra-subject reproducibility ( < 0.00001). No reproducible delay between heart rate changes and QRS-T angle changes was found. This was interpreted as a suggestion that the measurement of QRS-T angle might offer direct assessment of cardiac autonomic responsiveness at the ventricular level.
QRS波群与T波向量之间的三维夹角是一种已知的强大心血管风险预测指标。然而,该夹角的一些生理特性尚不清楚或了解甚少。其中包括个体内分布情况、该夹角与心率关系的稳定性、夹角/心率滞后的特征,以及这些特征在不同QRS-T夹角计算模式下的变化。在523名健康志愿者(259名女性)的长期12导联动态心电图记录中对这些特征进行了研究。三种不同的夹角计算算法方法分别基于QRS波群和T波环的最大向量幅值、正交导联中QRS波群和T波曲率下的面积,以及围绕各自三维环移动的所有QRS波群和T波向量的加权积分。这些方法应用于通过统一转换矩阵或原始12导联心电图的奇异值分解(SVD)得到的正交导联,从而产生6种表示夹角的可能方式。使用指数衰减模型评估心率滞后情况。所有这些方法都用于测量659313个10秒心电图样本中个体代表性波形的夹角,以及同一10秒样本中包含的7350733个单个心搏的夹角。使用所有测量方法时,测得的夹角与基础心率拟合二次多项式回归。与测量方法无关,发现女性的夹角明显更窄(<0.00001),与男性的差异在10到20之间,这表明在未来的风险评估研究中,男女需要不同的夹角二分法。结合SVD导联的积分方法显示出最高的个体内可重复性(<0.00001)。未发现心率变化与QRS-T夹角变化之间存在可重复的延迟。这被解释为提示QRS-T夹角的测量可能提供心室水平心脏自主反应性的直接评估。