Figures & data
Table 1. Characteristics of the study groups
Table 2. Single variable logistic regression analysis of the factors correlated with continuation of tiotropium bromide beyond 1 year after its introduction
Table 3. Multiple variable logistic regression analysis of the factors correlated with continuation of treatment with tiotropium bromide beyond 1 year after its introduction
Figure 2. Kaplan–Meier estimates of cumulative probability of discontinuation of tiotropium bromide in 255 patients.
![Figure 2. Kaplan–Meier estimates of cumulative probability of discontinuation of tiotropium bromide in 255 patients.](/cms/asset/af0b832a-7647-4d8c-8565-dec7edac2273/icop_a_933795_f0002_c.jpg)
Figure 3. Kaplan–Meier estimates of cumulative probability of discontinuation of tiotropium bromide according to a) former versus current smoker status, b) ≥50% versus <50% FEV1, c) alleviation versus no alleviation of symptoms, and d) exacerbation versus no exacerbation of COPD during first year of treatment with tiotropium bromide. The p-values were calculated by log-rank test.
![Figure 3. Kaplan–Meier estimates of cumulative probability of discontinuation of tiotropium bromide according to a) former versus current smoker status, b) ≥50% versus <50% FEV1, c) alleviation versus no alleviation of symptoms, and d) exacerbation versus no exacerbation of COPD during first year of treatment with tiotropium bromide. The p-values were calculated by log-rank test.](/cms/asset/1e9f66e5-8fe5-4bab-9c5c-e4c1cfc3c6f5/icop_a_933795_f0003_c.jpg)
Table 4. Cox proportional hazards regression analysis of factors correlated with continuation of treatment with tiotropium bromide beyond 1 year