Literature DB >> 29148281

Treatment patterns of biologics in US patients with ankylosing spondylitis: descriptive analyses from a claims database.

Jessica A Walsh1, Oluwakayode Adejoro2, Benjamin Chastek2, Yujin Park3.   

Abstract

AIM: Examine treatment patterns among patients with active ankylosing spondylitis (AS) treated with a TNF inhibitor (TNFi). PATIENTS &
METHODS: Patients with AS who initiated a TNFi between 1 January 2013, and 31 January 2015, were identified in the Optum Research Database. Outcomes included adherence, persistence, discontinuation and therapy modifications of the index TNFi during 12-month follow-up.
RESULTS: Of the 426 patients included, 40.6% persisted on the index TNFi for ≥12 months, 31.0% discontinued, 21.4% switched to a different TNFi, and 7.0% discontinued and then restarted. Of the 333 patients who persisted on their TNFi for >90 days, 44.7% received ≥1 add-on medication.
CONCLUSION: A high proportion of patients with AS switched, discontinued or modified their TNFi therapy.

Entities:  

Keywords:  ankylosing spondylitis; biologics; treatment patterns

Mesh:

Substances:

Year:  2017        PMID: 29148281     DOI: 10.2217/cer-2017-0076

Source DB:  PubMed          Journal:  J Comp Eff Res        ISSN: 2042-6305            Impact factor:   1.744


  7 in total

1.  Persistence with biological drugs in patients treated in rheumatology practices in Germany.

Authors:  Louis Jacob; Thomas Chevalier; Karel Kostev
Journal:  Rheumatol Int       Date:  2018-11-24       Impact factor: 2.631

2.  Persistence and treatment-free interval in patients being prescribed biological drugs in rheumatology practices in Germany.

Authors:  Karel Kostev; Louis Jacob
Journal:  Eur J Clin Pharmacol       Date:  2019-01-21       Impact factor: 2.953

3.  Healthcare Utilization and Direct Costs in Patients with Ankylosing Spondylitis Using a Large US Administrative Claims Database.

Authors:  Jessica A Walsh; Xue Song; Gilwan Kim; Yujin Park
Journal:  Rheumatol Ther       Date:  2018-08-18

Review 4.  Application of machine learning in the diagnosis of axial spondyloarthritis.

Authors:  Jessica A Walsh; Martin Rozycki; Esther Yi; Yujin Park
Journal:  Curr Opin Rheumatol       Date:  2019-07       Impact factor: 5.006

5.  Biologic use in psoriatic arthritis and ankylosing spondylitis patients: a descriptive epidemiological study using linked, routine data in Wales, UK.

Authors:  Roxanne Cooksey; Muhammad Azizur Rahman; Jonathan Kennedy; Sinead Brophy; Ernest Choy
Journal:  Rheumatol Adv Pract       Date:  2021-06-27

6.  Treatment pattern, satisfaction, and productivity loss of patients with ankylosing spondylitis treated with tumor necrosis factor inhibitors in Korea: A multicenter cross-sectional observational study.

Authors:  Sang-Hoon Lee; Yong-Gil Kim; Seung-Geun Lee; Soo Hyun Lee; Young-Joo Kim; Ja-Young Jeon; Joo-Young Jo; Hyun-Jeong Yoo; Juneyoung Lee; Tae-Hwan Kim
Journal:  Int J Rheum Dis       Date:  2022-02-20       Impact factor: 2.558

7.  Cohort identification of axial spondyloarthritis in a large healthcare dataset: current and future methods.

Authors:  Jessica A Walsh; Shaobo Pei; Gopi K Penmetsa; Jianwei Leng; Grant W Cannon; Daniel O Clegg; Brian C Sauer
Journal:  BMC Musculoskelet Disord       Date:  2018-09-05       Impact factor: 2.362

  7 in total

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