Staniforth D H
Br J Clin Pharmacol. 1983 Dec;16(6):615-21. doi: 10.1111/j.1365-2125.1983.tb02230.x.
Twenty-seven healthy male subjects of mean age 24.3 +/- 4.0 years and mean weight 74.9 +/- 9.1 kg took part in an investigation to assess the most suitable correction for the QT interval as a function of cardiac cycle length. 547 sets of data points were generated. Atropine 0.6, 1.2 and 1.8 mg, and hyoscine 0.4 and 0.8 mg, and exercise on a bicycle ergometer at power levels of 50-250 watts together with post-exercise values were employed to obtain a range of heart rates. Simultaneous measurement of cardiac output and total peripheral resistance were made. It was found that the traditional square root formula gave an unsatisfactory correction for the QT for supine subjects following atropine and hyoscine. The formula K = QT/RRN was linearized and fitted to the data by the least squares method and gave a best fit correction with N = 0.35, which is close to the cube root correction of Fridericia (1920). Neither stroke volume nor total peripheral resistance were found to provide a further enhancement of the correction. The relationship between QT and cycle length following the exercise protocol was found to be best represented by Bazett's correction but the complex changes in the QT produced by exercise were noted. These findings support the suggestion that either the cube root correction or the best fit correction with N = 0.35 provides a better correction factor than the traditional square root correction for the QT interval in clinical pharmacology experiments for data generated in resting patients.
27名健康男性受试者参与了一项研究,以评估作为心动周期长度函数的QT间期最合适的校正方法。这些受试者的平均年龄为24.3±4.0岁,平均体重为74.9±9.1千克。共生成了547组数据点。使用0.6毫克、1.2毫克和1.8毫克的阿托品,0.4毫克和0.8毫克的东莨菪碱,以及在功率为50 - 250瓦的自行车测力计上进行运动并记录运动后的值,以获得一系列心率。同时测量心输出量和总外周阻力。结果发现,传统的平方根公式对阿托品和东莨菪碱作用下的仰卧位受试者的QT校正效果不理想。公式K = QT/RRN被线性化,并通过最小二乘法拟合数据,得出N = 0.35时的最佳拟合校正,这与弗里德里西亚(1920年)的立方根校正相近。未发现每搏输出量和总外周阻力能进一步增强校正效果。运动方案后QT与心动周期长度之间的关系被发现最适合用巴泽特校正来表示,但注意到运动产生的QT的复杂变化。这些发现支持了这样的建议,即在临床药理学实验中,对于静息患者产生的数据,立方根校正或N = 0.35的最佳拟合校正比传统的平方根校正提供了更好的QT间期校正因子。