Treatment Switch Patterns and Healthcare Costs in Biologic-Naive Patients with Psoriatic Arthritis

银屑病关节炎生物制剂初治患者的治疗转换模式和医疗保健成本

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Abstract

INTRODUCTION: We compared treatment switch patterns and healthcare costs among biologic-naive patients with psoriatic arthritis (PsA) who initiated apremilast or biologics. METHODS: A 1:2 propensity score match was used to adjust administrative claims data for adults initiating apremilast or biologics from January 1, 2014, to September 30, 2016, for possible selection bias. Patients had at least 12 months of pre- and post-index continuous enrollment in the Optum Clinformatics™ Data Mart database. Outcomes included switch frequency, days to switch, adherence on index treatment, and healthcare costs (total and per patient per month). Switch rate was defined as the proportion of patients who switched to a new treatment after initiation of the index treatment, and days to switch was calculated as the days between initiation of the index treatment and initiation of the new treatment. Adherence was calculated using the proportion of days covered and the medication possession ratio. The t test and chi-square, Kaplan-Meier, and Wilcoxon rank-sum tests were used to evaluate differences between the cohorts. RESULTS: Patient characteristics and switch rates were similar between the matched apremilast (n = 170) and biologic (n = 327) cohorts. After matching, patient characteristics were similar between the matched cohorts. The 12-month switch rates were similar for patients initiating apremilast versus those on biologics (17.7% vs. 25.1%, P = 0.06). This trend was similar at 6 months (7.7% vs. 13.2%, P = 0.07) and 18 months (24.4% vs. 29.3%, P = 0.33). Regardless of treatment switching, 12-month total healthcare costs were lower with apremilast versus biologics (all: $28,423 vs. $41,178, P < 0.0001; switched: $39,803 vs. $51,517, P = 0.0040; did not switch: $25,984 vs. $37,717, P < 0.0001). CONCLUSIONS: Biologic-naive patients with PsA who initiated apremilast had switch rates similar to biologic users and significantly lower healthcare costs, regardless of treatment switching.

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