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首页> 外文期刊>American Journal of Physiology >QT-RR relationship in healthy subjects exhibits substantial intersubject variability and high intrasubject stability.
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QT-RR relationship in healthy subjects exhibits substantial intersubject variability and high intrasubject stability.

机译：健康受试者中的QT-RR关系显示出显着的受试者间变异性和较高的受试者体内稳定性。

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Recently, it was demonstrated that the QT-RR relationship pattern varies significantly among healthy individuals. We compared the intra- and interindividual variations of the QT-RR relationship. Twenty-four-hour 12-lead digital electrocardiograms (ECGs; SEER MC, GE Marquette; 10-s ECG recorded every 30 s) were obtained at baseline and after 24 h, 1 wk, and 1 mo in 75 healthy subjects (42 women, 33 men, age 27.9 +/- 9.6 vs. 26.8 +/- 7.5 yr, P = not significant). QT interval was measured automatically in each ECG by six different algorithms, and the mean of the six measurements was analyzed. In each recording of each individual, QT-RR relationship was assessed by 10 different regression models including linear (QT = beta + alpha x RR) and parabolic (QT = beta x RR(alpha)) models. Standard deviations (SDs) of regression parameters alpha and beta of consecutive recordings of each individual were compared with SD of the individual means. Intrasubject stability and interindividual variability were further tested by ANOVA. With all models, intraindividual SDs of the regression parameters were highly significantly smaller than SD of individual means (P < 10(-5)-10(-9)). The intrasubject stability was further confirmed by ANOVA (P < 10(-19)-10(-30)). The QT-RR relationship exhibits substantial intersubject variability as well as a high intrasubject stability. This has practical implications for a precise estimation of the heart rate-corrected QT interval in which optimized subject-specific rate correction formulas should be used.
机译：最近，证明了健康个体之间的QT-RR关系模式显着不同。我们比较了QT-RR关系的个体内和个体间差异。在基线以及在75位健康受试者（42名女性）中于24小时，1周和1个月后获得了24小时的12导联心电图（ECG; SEER MC，GE Marquette;每30 s记录10-s ECG）。 ，33名男性，年龄分别为27.9 +/- 9.6岁和26.8 +/- 7.5岁，P =不显着）。通过六种不同的算法在每个ECG中自动测量QT间隔，并分析六次测量的平均值。在每个人的每次记录中，通过10种不同的回归模型（包括线性（QT = beta + alpha x RR）和抛物线（QT = beta xRRα）模型）评估QT-RR关系。将每个个体连续记录的回归参​​数alpha和beta的标准差（SD）与个体平均值的SD进行比较。通过ANOVA进一步测试受试者内部的稳定性和个体间的变异性。对于所有模型，回归参数的个体内SD均显着小于单个均值的SD（P <10（-5）-10（-9））。通过ANOVA进一步证实受试者内部的稳定性（P ＜10（-19）-10（-30））。 QT-RR关系显示出实质性的受试者间变异性以及高的受试者体内稳定性。这对精确估算心率校正后的QT间隔有实际意义，在这种情况下，应使用优化的特定于受试者的心率校正公式。

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