Mann M, Patel K, Reardon J Z, Goldstein M, Godar T J, ZuWallack R L
University of Connecticut School of Medicine, Farmington.
Chest. 1993 May;103(5):1369-74. doi: 10.1378/chest.103.5.1369.
To determine whether meteorologic conditions affect the respiratory status of individuals with chronic lung disease, we asked 14 patients who had completed outpatient pulmonary rehabilitation to record the following information daily during the spring and summer of 1991: (1) dyspnea on arising (morning dyspnea); (2) dyspnea throughout the day (daytime dyspnea); (3) peak expiratory flow rate (PEFR); (4) mood; and (5) the presence of lower respiratory tract infection (LRI). The effect of local meteorologic conditions and LRI frequency on morning and daytime dyspnea, PEFR, and mood were analyzed for spring and summer seasons using a linear regression technique that controlled for first-order autocorrelation. The LRI frequency and the preceding day's respiratory status were the most significant predictors of either season's daily variation in respiratory status. During spring, the only meteorologic condition associated with respiratory status was precipitation: rainfall was directly related to increased morning and daytime dyspnea. Meteorologic conditions were not related to changes in PEFR or mood. During summer, the combination of higher temperature, rise in barometric pressure, and increased LRI frequency best predicted increased morning dyspnea, while the combination of higher temperature and rise in barometric pressure best predicted reduced PEFR. Meteorologic conditions were not related to changes in daytime dyspnea or mood. Precipitation in spring and a combination of high temperature and rise in barometric pressure in summer best predicted deterioration in the respiratory status of this group of patients with chronic lung disease.
为了确定气象条件是否会影响慢性肺病患者的呼吸状况,我们让14名完成门诊肺部康复治疗的患者在1991年春夏季每天记录以下信息:(1)起床时的呼吸困难(晨起呼吸困难);(2)全天的呼吸困难(日间呼吸困难);(3)呼气峰值流速(PEFR);(4)情绪;以及(5)下呼吸道感染(LRI)的存在情况。我们使用一种控制一阶自相关的线性回归技术,分析了春季和夏季当地气象条件及LRI频率对晨起和日间呼吸困难、PEFR及情绪的影响。LRI频率和前一天的呼吸状况是两个季节中呼吸状况每日变化的最显著预测因素。在春季,与呼吸状况相关的唯一气象条件是降水:降雨与晨起和日间呼吸困难的增加直接相关。气象条件与PEFR或情绪的变化无关。在夏季,较高温度、气压升高和LRI频率增加的组合最能预测晨起呼吸困难的增加,而较高温度和气压升高的组合最能预测PEFR的降低。气象条件与日间呼吸困难或情绪的变化无关。春季的降水以及夏季较高温度和气压升高的组合最能预测这组慢性肺病患者呼吸状况的恶化。