Dancy M
Br Heart J. 1986 Feb;55(2):155-61. doi: 10.1136/hrt.55.2.155.
One hundred and nineteen patients with a clinical diagnosis of important aortic stenosis were assessed clinically and by electrocardiography and M mode echocardiography to determine the degree of left ventricular hypertrophy. Predicted left ventricular pressure was calculated from two previously described formulas. Comparisons were made between the various methods for assessing left ventricular hypertrophy to see which method most reliably predicted the severity of the stenosis as defined by invasive measurement of left ventricular pressure and peak aortic valve gradient. Direct measurement of left ventricular wall thickness from the echocardiogram, expressed as the mean of septal and posterior wall thickness, was the most accurate predictor (r = 0.75 for 29 patients with high quality echocardiograms), and surpassed derived indices (left ventricular mass (r = 0.68) and predicted left ventricular pressure derived from the two formulas (r = 0.39 and r = 0.68)) in adults. Echocardiographic results were significantly better than electrocardiographic, but only when the recordings were of very high quality. Average quality echocardiograms were no better than precordial electrocardiographic voltages for predicting the severity of aortic stenosis. The formulas for predicting left ventricular pressure were of more value in children than in adults, but they were still not sufficiently accurate to be predictive in individual cases. Electrocardiographic voltages were more accurate predictors of the severity of aortic stenosis in children than in adults.
对119例临床诊断为重度主动脉瓣狭窄的患者进行了临床、心电图及M型超声心动图评估,以确定左心室肥厚程度。根据之前描述的两个公式计算预测的左心室压力。对评估左心室肥厚的各种方法进行比较,以确定哪种方法能最可靠地预测狭窄的严重程度,狭窄严重程度通过左心室压力和主动脉瓣峰值梯度的有创测量来定义。通过超声心动图直接测量左心室壁厚度,以室间隔和后壁厚度的平均值表示,是最准确的预测指标(对于29例高质量超声心动图患者,r = 0.75),在成人中优于派生指标(左心室质量(r = 0.68)以及根据两个公式得出的预测左心室压力(r = 0.39和r = 0.68))。超声心动图结果明显优于心电图,但只有在记录质量非常高时才如此。对于预测主动脉瓣狭窄的严重程度,平均质量的超声心动图并不比胸前心电图电压更好。预测左心室压力的公式在儿童中比在成人中更有价值,但在个别病例中仍不够准确以进行预测。心电图电压在儿童中比在成人中更能准确预测主动脉瓣狭窄的严重程度。