Literature DB >> 31220991

Cost-effectiveness of five different anti-tumour necrosis factor tapering strategies in rheumatoid arthritis: a modelling study.

L M Verhoef1, Dpg Bos1, Chm van den Ende1,2, Fhj van den Hoogen1,2, B Fautrel3, M E Hulscher4, W Kievit5, A A den Broeder1,2.   

Abstract

Objective: To investigate the cost-effectiveness of five different tumour necrosis factor inhibitor tapering strategies in patients with rheumatoid arthritis (RA) and stable low disease activity, using a modelling design.Method: Using Markov models based on data from the DRESS and STRASS randomized controlled trials, and the Nijmegen RA cohort, five tapering strategies for etanercept and adalimumab were tested against continuation: 1, four-step tapering (DRESS strategy); 2, five-step tapering; 3, tapering without withdrawal; 4, use of a stricter flare criterion; and 5, use of a theoretical predictor for successful tapering. We also examined how well a biomarker should be able to predict in order for strategy 5 to become cost-effective compared to the other strategies.
Results: All examined tapering strategies were cost saving (range: EUR 5128 to 7873) but yielded more short-lived flares compared to continuation. The change in utilities compared to continuation was minimal and not clinically relevant (range: -0.005 to 0.007 quality-adjusted life-years). Strategy 1 was cost-effective compared to all other strategies [highest incremental net monetary benefit (iNMB)]. However, there was a large overlap in credible intervals, especially between strategies 1 and 2. Scenario analyses showed that 50% reduction of drug prices would result in the highest iNMB for strategy 2. A biomarker only becomes cost-effective when it is inexpensive and has a sensitivity and specificity of at least 84%.
Conclusion: Because our study showed a comparable iNMB for tapering in four or five steps (including discontinuation), we recommend a choice between these strategies, based on shared decision making.

Entities:  

Year:  2019        PMID: 31220991     DOI: 10.1080/03009742.2019.1613674

Source DB:  PubMed          Journal:  Scand J Rheumatol        ISSN: 0300-9742            Impact factor:   3.641


  3 in total

1.  One-year direct costs of biological therapy in rheumatoid arthritis and its predictive factors: data from the Moroccan RBSMR registry.

Authors:  Safaa Fellous; Hanan Rkain; Samir Ahid; Redouane Abouqal; Latifa Tahiri; Ihsane Hmamouchi; Lahsen Achemlal; Imane El Bouchti; Abdellah El Maghraoui; Imad Ghozlani; Hasna Hassikou; Taoufik Harzy; Linda Ichchou; Ouafa Mkinsi; Radouane Niamane; Rachid Bahiri; Fadoua Allali
Journal:  Rheumatol Int       Date:  2021-01-02       Impact factor: 2.631

2.  Prediction Aided Tapering In rheumatoid arthritis patients treated with biOlogicals (PATIO): protocol for a randomized controlled trial.

Authors:  Marianne A Messelink; Matthijs S van der Leeuw; Alfons A den Broeder; Janneke Tekstra; Marlies C van der Goes; Marloes W Heijstek; Floris Lafeber; Paco M J Welsing
Journal:  Trials       Date:  2022-06-16       Impact factor: 2.728

3.  Using real-world data to dynamically predict flares during tapering of biological DMARDs in rheumatoid arthritis: development, validation, and potential impact of prediction-aided decisions.

Authors:  Matthijs S van der Leeuw; Marianne A Messelink; Janneke Tekstra; Ojay Medina; Jaap M van Laar; Saskia Haitjema; Floris Lafeber; Josien J Veris-van Dieren; Marlies C van der Goes; Alfons A den Broeder; Paco M J Welsing
Journal:  Arthritis Res Ther       Date:  2022-03-23       Impact factor: 5.156

  3 in total

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