Statistical approaches to the identification of late asthmatic reactions

Late asthmatic reactions can be difficult to recognize because of their prolonged time course and the confounding effects of superimposed circadian rhythms of ventilatory function. Conventional methods of analysis are rather arbitrary. They depend for example on a 15 or 20% fall in forced expiratory volume in one second (FEV1) from baseline or from time-matched control measurements. We have, therefore, investigated whether statistical approaches applied to individual subjects can assist in the identification of late asthmatic reactions. In two separate series of aerosol inhalation tests, three symptomatic workers, three asthmatic controls and three nonasthmatic controls were challenged blindly with increasing doses of two chemical agents, and saline. One of the agents, sodium isononanoyl oxybenzene sulphonate (SINOS) was a suspected cause of occupational asthma. Prior to the challenges, FEV1 was measured hourly on three control days. Cumulative late changes on both control and active challenge days were quantified as the area between a line extrapolated from a 10.00 h baseline and the actual measurements from 12.00-22.00 h (the 2-12 h area decrement). The area decrement measurements on control and active challenge days were compared using Student's t-tests. The sensitivity of this method for detecting late asthmatic reactions among potentially positive tests (SINOS challenge tests in the workers) was examined, as was its specificity. The latter was determined from the false positive rate among the negative tests. A second statistical method based on the pooled standard deviation of serial (hourly) FEV1 measurements was investigated in the same way. In total, the data from 220 challenge and 30 control days were available for analysis.(ABSTRACT TRUNCATED AT 250 WORDS)