Decision-Analytic Modeling for Time-Effectiveness of the Sequence of Induction Treatments for Moderate to Severe Plaque Psoriasis

中重度斑块状银屑病诱导治疗顺序时间有效性的决策分析模型

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Abstract

IMPORTANCE: Systemic psoriasis treatments vary in efficacy and cost but also in time until onset of action. Patients with no response to a first induction treatment are typically switched to another, and some patients require several treatments before they see an improvement. OBJECTIVE: To determine the most cost-effective sequence of induction treatment through a comparative time-effectiveness analysis of different systemic treatment sequences currently licensed in Germany for moderate to severe plaque psoriasis. DESIGN, SETTING, AND PARTICIPANTS: This time-effectiveness analysis used a decision-analytic model set in the German health care system. The population simulated to receive the treatment sequences consisted of adult men and women with psoriasis vulgaris or plaque type psoriasis eligible for systemic treatment. Systematic reviews were performed to generate model input values. Data were collected from November 1 through December 15, 2017, and analyzed from January through August 2018. INTERVENTIONS: Five treatment sequences frequently used in Germany, identified through an online expert survey (response rate, 10 of 15 [66.7%]), and 4 theoretical sequences starting with a biological agent. Treatments included methotrexate sodium (MTX), cyclosporine (CSA), fumaric acid esters (FAE), adalimumab (ADA), ixekizumab (IXE), infliximab (INF), and secukinumab (SEC). MAIN OUTCOMES AND MEASURES: Two health states were defined: responder (patients achieving a Psoriasis Area Severity Index [PASI] ≥75) and nonresponder (PASI <75). Probability values were defined as response rates of PASI-75. Treatment effects were determined by the mean change in Dermatology Life Quality Index (DLQI) score. Time until onset of action was assessed as weeks until 25% of patients reach PASI-75. Individual time-effectiveness ratios were calculated per treatment sequence as time until onset of action (in weeks) per minimally important difference (MID) in DLQI and were subsequently ranked. RESULTS: Treatment sequences starting with a biological agent, including IXE-INF-SEC (1.4 weeks per DLQI-MID), INF-IXE-SEC (2.05 weeks per DLQI-MID), SEC-IXE-ADA (2.1 weeks per DLQI-MID), and ADA-IXE-SEC (2.8 weeks per DLQI-MID) were more time-effective than frequently used treatment sequences, including MTX-SEC-ADA (6.8 weeks per DLQI-MID), MTX-ADA-IXE (7.0 weeks per DLQI-MID), MTX-ADA-SEC (7.2 weeks per DLQI-MID), MTX-FAE-ADA (10.05 weeks per DLQI-MID), and FAE-MTX-CSA (11.5 weeks per DLQI-MID). The results were robust to deterministic sensitivity analyses. CONCLUSIONS AND RELEVANCE: When allocating monetary resources, policy makers and regulators may want to consider time until patients experience an MID in their quality of life as an additional outcome measure. TRIAL REGISTRATION: PROSPERO Identifier: CRD42017074218.

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