Literature DB >> 18577308

Retrospective claims data analysis of dosage adjustment patterns of TNF antagonists among patients with rheumatoid arthritis.

Eric Wu1, Lei Chen, Howard Birnbaum, Elaine Yang, Mary Cifaldi.   

Abstract

OBJECTIVE: To describe dosing patterns for tumor necrosis factor (TNF) antagonists in patients with rheumatoid arthritis from health care provider and payer point of interest. RESEARCH DESIGN AND METHODS: Using privately insured US claims data from 31 large employers covering 31 companies across the US, rheumatoid arthritis (RA) patients were identified and three cohorts were defined based on first TNF-antagonist treatment (adalimumab, etanercept, or infliximab) administered after January 1, 2003. Dosage-adjustment patterns were assessed during the following 12-month period. Changes in dosage (both increases and decreases) and maintenance of a stable dosage were evaluated. For the health care provider point of interest, a new algorithm was developed to assess treatment patterns with chronic injectable therapies that incorporated the potential inconsistency between days of supply and prescription-gap data, thus providing the actual use of TNF-antagonist treatment. For the payer, usage data addressed whether the TNF antagonist was used at a greater dosage than recommended. Differences in baseline characteristics and dosage change rates between cohorts were tested using Chi-Square tests for categorical variables and Wilcoxon tests for continuous variables.
RESULTS: From the health care provider point of interest, 83.4% of adalimumab-treated patients (n = 205) initially received the recommended dosage, 10.2% received less, and 6.3% received more; 87.7% of etanercept-treated patients (n = 455) initially received the recommended dosage, 11.2% received less, and 1.1% received more; and 83.8% of infliximab-treated patients (n = 148) started with 2-4 vials (the recommended dosage is based on the weight of the patient, not total milligrams). All treatments had similar dosage decrease and discontinuation rates. Maintenance of stable dosage was lower for infliximab (20.9%) than adalimumab (37.1%) and etanercept (39.1%); both p < 0.01. The infliximab dosage-increase rate (35.1%) was greater than adalimumab (3.9%) and etanercept (0); both p < 0.01. From the payer point of interest, dosage-increase rate was greater for infliximab (28.3%) than adalimumab (8.7%) and etanercept (6.9%), both p < 0.01.
CONCLUSIONS: Infliximab had greater dosage-increase rates than adalimumab and etanercept. Adalimumab and etanercept had similar dosage-increase rates. All treatments had similar dosage-decrease and discontinuation rates. Maintenance of stable dosage was lower for infliximab than for adalimumab and etanercept. The study has the usual limitation of claims data analysis in that clinical details might be insufficient to draw causal inference.

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Year:  2008        PMID: 18577308     DOI: 10.1185/03007990802229548

Source DB:  PubMed          Journal:  Curr Med Res Opin        ISSN: 0300-7995            Impact factor:   2.580


  17 in total

Review 1.  Dose modifications of anti-TNF drugs in rheumatoid arthritis patients under real-world settings: a systematic review.

Authors:  Rafael Ferriols-Lisart; Francisco Ferriols-Lisart
Journal:  Rheumatol Int       Date:  2015-02-01       Impact factor: 2.631

2.  Treatment persistence among patients with immune-mediated rheumatic disease newly treated with subcutaneous TNF-alpha inhibitors and costs associated with non-persistence.

Authors:  Johan Dalén; Axel Svedbom; Christopher M Black; Ramon Lyu; Qian Ding; Shiva Sajjan; Vasilisa Sazonov; Sumesh Kachroo
Journal:  Rheumatol Int       Date:  2016-01-16       Impact factor: 2.631

3.  The comparative effectiveness of biologics among older adults and disabled rheumatoid arthritis patients in the Medicare population.

Authors:  Huifeng Yun; Fenglong Xie; Elizabeth Delzell; Lang Chen; Shuo Yang; Kenneth G Saag; George Joseph; David Harrison; Jeffrey R Curtis
Journal:  Br J Clin Pharmacol       Date:  2015-09-30       Impact factor: 4.335

4.  Real-world cost-effectiveness of infliximab, etanercept and adalimumab in rheumatoid arthritis patients: results of the CREATE registry.

Authors:  M Cárdenas; S de la Fuente; P Font; M C Castro-Villegas; M Romero-Gómez; D Ruiz-Vílchez; J Calvo-Gutiérez; A Escudero-Contreras; M A Casado; J R Del Prado; E Collantes-Estévez
Journal:  Rheumatol Int       Date:  2016-02       Impact factor: 2.631

5.  Tumor necrosis factor-blocker dose escalation in rheumatoid arthritis patients in a pharmacy benefit management setting.

Authors:  Steven W Blume; Kathleen M Fox; George Joseph; Chien-Chia Chuang; Jessy Thomas; Shravanthi R Gandra
Journal:  Adv Ther       Date:  2013-06-06       Impact factor: 3.845

6.  Biologic TNF inhibiting agents for treatment of inflammatory rheumatic diseases: dosing patterns and related costs in Switzerland from a payers perspective.

Authors:  Jan Zeidler; Thomas Mittendorf; Rüdiger Müller; Johannes von Kempis
Journal:  Health Econ Rev       Date:  2012-09-28

7.  Biologic TNF inhibiting agents for treatment of rheumatoid arthritis: persistence and dosing patterns in Germany.

Authors:  Sarah Neubauer; Mary Cifaldi; Thomas Mittendorf; Arijit Ganguli; Malte Wolff; Jan Zeidler
Journal:  Health Econ Rev       Date:  2014-11-23

8.  Comparative persistence of the TNF antagonists in rheumatoid arthritis--a population-based cohort study.

Authors:  Anat Fisher; Ken Bassett; James M Wright; M Alan Brookhart; Hugh Freeman; Colin R Dormuth
Journal:  PLoS One       Date:  2014-08-20       Impact factor: 3.240

Review 9.  Claims Data Analysis of Tumor Necrosis Factor Inhibitor Treatment Dosing Among Patients with Rheumatoid Arthritis: A Systematic Review of Methods.

Authors:  Gundula Krack; Henning Zeidler; Jan Zeidler
Journal:  Drugs Real World Outcomes       Date:  2016-09

10.  Cost of tumor necrosis factor blockers per patient with rheumatoid arthritis in a multistate Medicaid population.

Authors:  Machaon Bonafede; George J Joseph; Neel Shah; Nicole Princic; David J Harrison
Journal:  Clinicoecon Outcomes Res       Date:  2014-09-15
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