Ulmer H E, Heupel E W, Weckesser G
Basic Res Cardiol. 1982 Mar-Apr;77(2):197-212. doi: 10.1007/BF01908173.
Systolic time intervals (STI) were measured in 469 normal children, aged 5.0 to 16.9 years, using simultaneous recordings of the electrocardiogram, phonocardiogram and an external carotid pulse tracing. The data were analyzed to define the influence of sex, age, cardiac cycle length, body weight (BW), body length (BL), and body surface area (BSA) on the left ventricular STI. Regression, equations were evaluated for the calculation of normal standards for the following STI: electromechanical systole (QS2), left ventricular ejection time (LVET), pre-ejection period (PEP) systolic quotient (PEP/LVET), isovolumic contraction time (IVCT), electroacustical delay (QS1), and additionally for the so-called tension time (TT), upstroke time (UT), and the ascending index (UT/LVET) of the carotid pulse wave. Heart rate was found to influence all of the STI but the ratio UT/LVET, which revealed to be independent of any variable. Besides heart rate, BSA proved to be a second relevant independent variable for QS2 and LVET, respectively BL for PEP, PEP/LVET and QS1. These findings are in accordance to the results of comparable echocardiographic studies but disagree previous mechanocardiographic studies in smaller groups of children in whom age and not the above-mentioned parameters of the individual development seemed to influence the STI. A second set of equations was evaluated for the calculation of 95%-prediction intervals for the particular STI permitting to define abnormalities of the STI in individual children.
对469名年龄在5.0至16.9岁的正常儿童进行了收缩期时间间期(STI)测量,采用同步记录心电图、心音图和颈外动脉脉搏描记图的方法。对数据进行分析,以确定性别、年龄、心动周期长度、体重(BW)、身长(BL)和体表面积(BSA)对左心室STI的影响。对回归方程进行了评估,以计算以下STI的正常标准:机电收缩期(QS2)、左心室射血时间(LVET)、射血前期(PEP)、收缩期商(PEP/LVET)、等容收缩时间(IVCT)、电声延迟(QS1),此外还包括所谓的张力时间(TT)、上升时间(UT)以及颈动脉脉搏波的上升指数(UT/LVET)。发现心率会影响所有的STI,但UT/LVET比值显示与任何变量无关。除心率外,BSA被证明是QS2和LVET的第二个相关独立变量,而BL是PEP、PEP/LVET和QS1的相关独立变量。这些发现与类似的超声心动图研究结果一致,但与之前对较小儿童群体的机械心动图研究结果不同,在之前的研究中,年龄而非上述个体发育参数似乎影响STI。对第二组方程进行了评估,以计算特定STI的95%预测区间,从而能够确定个体儿童STI的异常情况。