Gilbert R, Auchincloss J H
Department of Medicine, State University of New York Health Science Center, Syracuse.
Chest. 1990 Mar;97(3):562-5. doi: 10.1378/chest.97.3.562.
Using recently published data, a nomogram was constructed to estimate the likelihood of asthma following methacholine challenge. Based on Bayes' theorem, the nomogram makes use of the sensitivity and specificity of methacholine challenge to calculate the post-test probability of asthma once the physician makes a determination of the pretest probability, that is, the likelihood of asthma before the test results are considered. A family of curves is presented to cover several levels of cumulative breath units at which the test could become positive, and a single curve is presented for a negative test after 224 cumulative breath units. Separate curves are presented for smokers and nonsmokers. The estimate of pretest probability is most crucial in negative tests where likelihood of asthma is considered high, and in positive tests in patients in whom asthma is considered unlikely. Although these curves will not apply precisely to a different data base, the concept of the relationship between pretest and post-test probability helps in the interpretation of the test results and stresses the importance of using all available information in making a diagnosis.
利用最近发表的数据,构建了一个列线图来估计乙酰甲胆碱激发试验后哮喘发生的可能性。基于贝叶斯定理,该列线图利用乙酰甲胆碱激发试验的敏感性和特异性,在医生确定预测试概率(即考虑测试结果之前哮喘的可能性)后,计算哮喘的测试后概率。给出了一组曲线,以涵盖测试可能呈阳性的几个累积呼吸单位水平,并给出了一条在224个累积呼吸单位后测试为阴性的单一曲线。分别给出了吸烟者和非吸烟者的曲线。预测试概率的估计在哮喘可能性被认为较高的阴性测试以及哮喘可能性被认为较低的患者的阳性测试中最为关键。尽管这些曲线不会精确适用于不同的数据库,但预测试概率和测试后概率之间关系的概念有助于解释测试结果,并强调在做出诊断时使用所有可用信息的重要性。