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  • Title: Rapid and sustained health utility gain in anti-tumour necrosis factor-treated inflammatory arthritis: observational data during 7 years in southern Sweden.
    Author: Gülfe A, Kristensen LE, Saxne T, Jacobsson LT, Petersson IF, Geborek P.
    Journal: Ann Rheum Dis; 2010 Feb; 69(2):352-7. PubMed ID: 19282310.
    Abstract:
    BACKGROUND: Rheumatoid arthritis (RA), psoriatic arthritis (PsA) and other spondylarthritides impose a great impact on the individual in addition to the costs on society, which may be reduced by effective pharmacological treatment. Industry-independent health economic studies should complement studies sponsored by industry. OBJECTIVE: To study secular trends in baseline health utilities in patients commencing tumour necrosis factor (TNF) blockade for arthritis in clinical practice over 7 years; to address utility changes during treatment; to investigate the influence of previous treatment courses; to study the feasibility of health utility measures and to compare them across diagnostic entities. METHODS: EuroQoL 5 dimensions (EQ-5D) utility data were collected from a structured clinical follow-up programme of anti-TNF-treated patients with RA (N = 2554), PsA (N = 574) or spondylarthritides (N = 586). Time trends were calculated. Completer analysis was used. RESULTS: There were weak or non-significant secular trends for increasing baseline utilities over time for RA, PsA and spondylarthritides. The maximum gain in utilities had already occurred after 2 weeks for all diagnoses and remained stable for patients remaining on therapy. The first and second anti-TNF courses performed similarly. CONCLUSIONS: Utilities at inclusion remained largely unchanged for RA, PsA and spondylarthritides over 7 years. Improvement occurred early during treatment and not beyond 6 weeks at the group level. Improvement during the first course was not consistently greater than the second. There were no major differences between RA, PsA and spondylarthritides. EQ-5D proved feasible and applicable across these diagnoses. These "real world" data may be useful for health economic modelling.
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