Ascoop C A, Distelbrink C A, De Lang P A
Br Heart J. 1977 Feb;39(2):212-7. doi: 10.1136/hrt.39.2.212.
The diagnostic performance of automatic analysis of the exercise electrocardiogram in detecting ischaemic heart disease was studied in 147 patients with angiographically documented coronary disease. The results were compared with the results of visual analysis of the same recordings. Using a bicycle ergometer we tried to reach at least 90 per cent of the predicted maximal heart rate of the patient. Two bipolar thoracic leads (CM5, CC5) were used. In the visual analysis the criterion of the so-called ischaemic ST segment was applied. For the automatic analysis the population was divided into a learning group (N=87) and a testing group (N=60). In the learning group first critical values were computed for different ST measurements that provided optimal separation between patients with (CAG POS.) and without (CAG. NEG.) significant coronary stenoses as revealed by coronary arteriography. These critical values were kept unchanged when applied to the testing group. With respect to the visual method an increase of the sensitivity by 0-45 and 0-36 was obtained by the automatic analysis in the learning and testing group, respectively. The best separation between CAG. POS. and CAG. NEG. group was reached using a criterion consisting of a linear combination of the slope of the initial part of the ST segment and the ST depression; the sensitivity being 0-70 and 0-60, respectively, in the learning and testing group. Using a criterion based on the area between the baseline and the ST segment (the SX integral) these values were 0-42 and 0-49, respectively. All specificities were kept to at least 0-90.
对147例经血管造影证实患有冠心病的患者,研究了运动心电图自动分析检测缺血性心脏病的诊断性能。将结果与相同记录的视觉分析结果进行比较。使用自行车测力计,试图达到患者预测最大心率的至少90%。使用两个双极胸导联(CM5、CC5)。在视觉分析中,应用了所谓缺血性ST段的标准。对于自动分析,将人群分为学习组(N = 87)和测试组(N = 60)。在学习组中,首先计算不同ST测量值的临界值,这些临界值能最佳区分经冠状动脉造影显示有(CAG POS.)和无(CAG. NEG.)明显冠状动脉狭窄的患者。将这些临界值应用于测试组时保持不变。与视觉方法相比,自动分析在学习组和测试组中分别使敏感性提高了0 - 45和0 - 36。使用由ST段起始部分斜率和ST段压低的线性组合组成的标准,在CAG. POS.组和CAG. NEG.组之间达到了最佳区分;在学习组和测试组中的敏感性分别为0 - 70和0 - 60。使用基于基线与ST段之间面积(SX积分)的标准,这些值分别为0 - 42和0 - 49。所有特异性均保持在至少0 - 90。