Pre- and post-treatment eosinophil densities, degranulation indexes, and ECP concentrations, respectfully, will be compared using paired t-tests. Changes in density, degranulation index, and ECP from pre- to post-treatment will be compared between responders (Grade > 3) and non-responders (Grade 1 or 2), respectively, by repeat measures ANOVA. Statistical analysis of pharmacokinetic data will utilize a combination of approaches to assess the potential interactions between montelukast disposition and response. Relationships between continuous variables (eg., dose, ECP concentrations) will be evaluated by linear and nonlinear regression techniques. A two-tailed, Student's t test will be used to evaluate differences in disposition (eg., plasma vs. tissue concentrations) and response associated with gender and also, to examine exposure-response relationships for subjects classified by pain relief assessment. Finally, logistic regression techniques will be used to examine the interaction between multiple covariates (eg., pharmacokinetic and pharmacodynamic parameters, biochemical parameters reflective of eosinophil activation, demographic parameters, etc.). All statistical analyses will be completed using the SSPS software package (version 9.0, SPSS Inc., Chicago, IL) and will use a significance limit of α = 0.05.