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Original Research

Determinants of Long-Term Persistence with Tiotropium Bromide for Chronic Obstructive Pulmonary Disease

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Figures & data

Table 1.  Characteristics of the study groups

Figure 1. Flow of patients from initial screening to the final study group assignments.

Figure 1. Flow of patients from initial screening to the final study group assignments.

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.

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.

Table 4.   Cox proportional hazards regression analysis of factors correlated with continuation of treatment with tiotropium bromide beyond 1 year

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