Literature DB >> 24967519

Medication effectiveness with the use of tumor necrosis factor inhibitors among Texas Medicaid patients diagnosed with rheumatoid arthritis.

Abiola Oladapo1, Jamie C Barner, Kenneth A Lawson, Suzanne Novak, Karen L Rascati, Kristin M Richards, David J Harrison.   

Abstract

BACKGROUND: Adalimumab (Humira [ADA]), etanercept (Enbrel [ETN]), and infliximab (Remicade [IFX]) are tumor necrosis factor (TNF) inhibitors indicated for the treatment of a variety of disorders. While their effectiveness has not been directly compared in a clinical trial, results from the majority of the indirect treatment comparisons suggest comparable efficacy and safety profiles. However, these TNF inhibitor agents differ in administration method and dosing flexibility, which may result in differences in medication use profiles (e.g., adherence, persistence, discontinuation, dose escalation, and switching to a new biologic rheumatoid arthritis drug) and effectiveness in clinical practice.
OBJECTIVE: To estimate the effectiveness of ADA, ETN, and IFX in patients with rheumatoid arthritis (RA) using a validated, claims-based algorithm designed for large retrospective databases.
METHODS: Adult (aged 18-63 years) patients diagnosed with RA, and receiving ADA, ETN, or IFX, and insured by Texas Medicaid were included. The index date was the date of the first prescription claim for ADA or ETN or infusion record for IFX with no claim or infusion record of a biologic drug in the preceding 6 months (i.e., biologic naïve). The study time frame was from July 2003 to August 2011, and prescription and medical claims for each subject were analyzed over an 18-month period (6 months pre- and 12 months post-index). Based on a RA medication effectiveness algorithm (Curtis et al. 2011), a RA medication was classified as effective if each of the following 6 criteria were met: (1) high medication adherence (i.e., medication possession ratio [MPR] ≥ 80%, defined as the sum of days' supply for all fills or infusions divided by the number of days in the study period); (2) no switching to (or addition of) new biologic RA drugs; (3) no addition of new nonbiologic RA drugs; (4) no increase in dose or frequency of administration of the RA medication currently evaluated; (5) no more than 1 glucocorticoid (GC) joint injection; and (6) no increase in dose of a concurrent oral GC. Propensity score (PS) matching was employed, and paired tests (i.e., McNemar's) and multivariate conditional logistic regression analysis were used to compare groups. Demographic (i.e., age, gender, race) and clinical (i.e., use of nonbiologic disease-modifying antirheumatic drugs [DMARDs], pain medication use, GC medication use, RA-related and non-RA-related health care visits [i.e., ambulatory and inpatient visits], number of nonstudy RA medications, and comorbidity index) characteristics, including total health care utilization cost at baseline, served as study covariates.
RESULTS: After PS matching, 822 patients (n = 274 per group) were included. The majority of the sample (69.2%) was between 45-63 years, female (88%), and Hispanic (53.7%). Results for each TNF inhibitor differed significantly for 2 of the 6 effectiveness criteria (i.e., medication adherence and dose escalation). A significantly higher proportion of patients on IFX were adherent compared with patients on ETN or ADA (38.3% vs. 16.4% and 21.2%, P  less than  0.0001 for both). Adherence rates between ETN and ADA were not significantly different. A significantly higher (P  less than  0.0001) proportion of patients on ETN had no dose escalation compared with patients on ADA or IFX (98.2% vs. 88.7% and 80.3%, P  less than  0.0001). Dose escalation rate was also significantly lower (P = 0.0106) for ADA compared with IFX. The multivariate conditional logistic regression analysis indicated no significant difference in overall effectiveness using the claims-based algorithm among the 3 TNF inhibitors nor any significant relationship between effectiveness and the study covariates.
CONCLUSION: The study results suggest that when using a medication effectiveness algorithm, IFX, ETN, and ADA have comparable effectiveness in patients with RA. Patient adherence to therapy may be higher if given IFX, and patients who receive ETN are less likely to have a dose escalation.

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Year:  2014        PMID: 24967519     DOI: 10.18553/jmcp.2014.20.7.657

Source DB:  PubMed          Journal:  J Manag Care Spec Pharm


  7 in total

Review 1.  Comparative effectiveness research with administrative health data in rheumatoid arthritis.

Authors:  Marie Hudson; Koray Tascilar; Samy Suissa
Journal:  Nat Rev Rheumatol       Date:  2016-04-15       Impact factor: 20.543

2.  Predictors of Treatment Change Among Patients with Rheumatoid Arthritis Treated with TNF Inhibitors as First-Line Biologic Agent in the USA: A Cohort Study from Longitudinal Electronic Health Records.

Authors:  Yinzhu Jin; Joan E Landon; Whitney Krueger; Alexander Liede; Rishi J Desai; Seoyoung C Kim
Journal:  BioDrugs       Date:  2022-06-30       Impact factor: 7.744

3.  Tumor Necrosis Factor Inhibitor Therapy and the Risk for Depression Among Working-Age Adults with Rheumatoid Arthritis.

Authors:  Arijita Deb; Nilanjana Dwibedi; Traci LeMasters; Jo Ann Hornsby; Wenhui Wei; Usha Sambamoorthi
Journal:  Am Health Drug Benefits       Date:  2019-02

Review 4.  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

5.  Treatment effectiveness and treatment patterns among rheumatoid arthritis patients after switching from a tumor necrosis factor inhibitor to another medication.

Authors:  Machaon Mk Bonafede; Jeffrey R Curtis; Donna McMorrow; Puneet Mahajan; Chieh-I Chen
Journal:  Clinicoecon Outcomes Res       Date:  2016-12-02

Review 6.  Medication adherence and persistence in patients with rheumatoid arthritis, psoriasis, and psoriatic arthritis: a systematic literature review.

Authors:  Mwangi J Murage; Vanita Tongbram; Steven R Feldman; William N Malatestinic; Cynthia J Larmore; Talia M Muram; Russel T Burge; Charles Bay; Nicole Johnson; Sarah Clifford; Andre B Araujo
Journal:  Patient Prefer Adherence       Date:  2018-08-21       Impact factor: 2.711

7.  A Targeted Literature Review Examining Biologic Therapy Compliance and Persistence in Chronic Inflammatory Diseases to Identify the Associated Unmet Needs, Driving Factors, and Consequences.

Authors:  Nikos Maniadakis; Emese Toth; Michael Schiff; Xuan Wang; Maria Nassim; Boglarka Szegvari; Irina Mountian; Jeffrey R Curtis
Journal:  Adv Ther       Date:  2018-08-04       Impact factor: 3.845

  7 in total

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