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使用微型呼气峰流速（PEF）仪测定了1394例重庆地区健康人的PEF值，建立了正常回归方程式。在此基础上，我们测定了134例哮喘患者的PEF，并计算出哮喘患者PEF占正常预计值的百分比。以上患者单纯按哮喘的临床症状的严重度分为：轻度，中度和重度哮喘。结果表明PEF占预计值的百分比随哮喘的严重增加而降低，各组之间差异显著，提示PEF在一定程度上可以反映哮喘的严重度。但依临床表现和PEF两种哮喘严重度分级并不完全一致。轻度和重度哮喘组与PEF分级的吻合率较高，分别为71．4％和74．5％。而中度哮喘组的吻合率则较低，仅为52．9％。本文结果提示，单纯用临床表现进行哮喘的严重度分级将导致相当多的病入分级错误。其中20．9％的病人被低估病情。正确的评估哮喘的严重度应尽可能测定肺功能。
The PEF value of 1394 healthy people in Chongqing was measured by the miniature expiratory flow rate (PEF) instrument, and a normal regression equation was established. Based on this, we measured PEF in 134 asthmatic patients and calculated the percentage of PEF as a normal predictive value in patients with asthma. More patients according to the severity of the clinical symptoms of asthma are divided into: mild, moderate and severe asthma. The results showed that the percentage of PEF predicted value decreased with the serious increase of asthma, the difference was significant among the groups, suggesting that PEF can reflect the severity of asthma to a certain extent. However, according to clinical manifestations and severity of PEF two asthma grading is not exactly the same. Mild and severe asthma group and PEF grading match rate was higher, respectively 71.4% and 74.5%. In the moderate asthma group, the coincidence rate was lower, only 52.9%. Our results suggest that grading the severity of asthma with clinical manifestations alone will result in a considerable number of patient-grade errors. 20.9% of patients were underestimated. Correct evaluation of the severity of asthma Lung function should be determined as much as possible.