Bishop J M, Csukas M
Thorax. 1989 Feb;44(2):85-96. doi: 10.1136/thx.44.2.85.
The value of non-invasive procedures for predicting pulmonary arterial pressure was investigated in 370 patients with chronic obstructive lung diseases and in 73 with fibrosing alveolitis in a combined study at nine centres in six European countries. Measurements included forced expiratory volume in one second, arterial blood gas tensions, standard electrocardiogram, radiographic dimensions of pulmonary artery, right ventricle dimensions by M mode echocardiography, and myocardial scintigraphy with thallium-201; and certain clinical signs were also used. No single variable was correlated closely enough to allow accurate prediction of pulmonary arterial pressure. Four methods were used to incorporate several variables into mathematical functions for predicting pulmonary arterial pressure. In patients with chronic obstructive lung disease multiple stepwise regression explained 49% of the variance in pulmonary arterial pressure but was not useful for prediction. Discriminant analysis allowed patients to be allocated to bands of pulmonary arterial pressure, as did two non-parametric procedures, in which decision trees were established using either the Kolmogoroff-Smirnoff statistic or Fisher's exact test. Patients with a pulmonary arterial pressure of 30 mm Hg or more were identified with a sensitivity of 83% and a specificity of 91%. The non-parametric tests gave better results than discriminant function. A further 54 patients were studied to validate the functions. Of these, 90% with a pulmonary arterial pressure above 20 mm Hg were correctly identified, and 80% of those with a pulmonary arterial pressure above 29 mm Hg. Similar results were obtained in subjects with fibrosing alveolitis. These mathematical functions allow the use of combinations of non-invasive procedures to select from populations at risk of pulmonary hypertension those in whom direct measurement is required. The mathematical functions are capable of further development by incorporation of variables from newer non-invasive procedures.
在六个欧洲国家九个中心联合开展的一项研究中,对370例慢性阻塞性肺疾病患者和73例肺纤维化患者进行了无创检查预测肺动脉压价值的研究。测量指标包括一秒用力呼气容积、动脉血气张力、标准心电图、肺动脉的影像学尺寸、M型超声心动图测量的右心室尺寸以及用铊-201进行的心肌闪烁显像;还使用了某些临床体征。没有单一变量与肺动脉压的相关性足够紧密,无法进行准确预测。采用了四种方法将多个变量纳入预测肺动脉压的数学函数中。在慢性阻塞性肺疾病患者中,多元逐步回归解释了肺动脉压变异的49%,但对预测并无帮助。判别分析可将患者分配到不同的肺动脉压区间,另外两种非参数方法也是如此,这两种方法分别使用柯尔莫哥洛夫-斯米尔诺夫统计量或费舍尔精确检验建立决策树。肺动脉压≥30 mmHg的患者被识别出来,其敏感性为83%,特异性为91%。非参数检验的结果优于判别函数。另外对54例患者进行了研究以验证这些函数。其中,肺动脉压>20 mmHg的患者中有90%被正确识别,肺动脉压>29 mmHg的患者中有80%被正确识别。肺纤维化患者也得到了类似结果。这些数学函数可利用无创检查的组合,从有肺动脉高压风险的人群中筛选出需要进行直接测量的患者。通过纳入更新的无创检查变量,这些数学函数还有进一步发展的潜力。