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Personalization of biologic therapy in patients with rheumatoid arthritis: less frequently accounted choice-driving variables.

ABSTRACT: Objective:To propose appropriate statements that drive the choice of biologic therapies in patients with rheumatoid arthritis (RA), factoring in their impact on the following issues: anti-drug antibody (ADAb) formation, suspicion and management of infections, lupus-like syndrome (LLS), effects on bone mass and sexual sphere, and relationship between RA and periodontal disease (PD). Methods:An overview of existing evidence was undertaken by an expert panel on behalf of the Italian board for the TAilored BIOlogic therapy (ITABIO). Data were extracted from controlled trials, national registries, national health care databases, post-marketing surveys, and, when required by the paucity of controlled studies, from open-label clinical series. Anti-tumor necrosis factor (anti-TNF) and non-anti-TNF-targeted biologics approved for RA were investigated. Results:ADAb formation is chiefly associated with anti-TNFs, and it is reduced by combination therapy with methotrexate. To date, ADAb titration is not advisable for clinical practice, and, in case of anti-TNF secondary failure, a non-anti-TNF biologic is indicated. LLS is observed in anti-TNF receivers and, in most cases, resolves without anti-TNF withdrawal. A non-anti-TNF biologic is advisable in patients experiencing LLS. Non-anti-TNFs demonstrated a low or absent infection risk and are preferable in patients with comorbidities. Due to their positive effects on bone mass, anti-TNFs are indicated in women at osteoporosis risk, whereas non-anti-TNF have been poorly investigated. The emerging evidence of the relationship between RA and PD and the effects on anti-TNF efficacy should lead clinicians to consider the periodontal status in RA patients. Anti-TNFs may exert a positive effect on fertility and sexuality, and clinicians should explore these aspects in RA patients. Conclusion:The optimization of biologic therapies by taking into proper account the above issues would improve patient outcomes.

SUBMITTER: Niccoli L

PROVIDER: S-EPMC6207089 | biostudies-other | 2018

REPOSITORIES: biostudies-other

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Personalization of biologic therapy in patients with rheumatoid arthritis: less frequently accounted choice-driving variables.

Niccoli Laura L Nannini Carlotta C Blandizzi Corrado C Mantarro Stefania S Mosca Marta M Di Munno Ombretta O Goletti Delia D Benucci Maurizio M Gobbi Francesca Li FL Cassarà Emanuele E Kaloudi Olga O Cantini Fabrizio F

Therapeutics and clinical risk management 20181024

<h4>Objective</h4>To propose appropriate statements that drive the choice of biologic therapies in patients with rheumatoid arthritis (RA), factoring in their impact on the following issues: anti-drug antibody (ADAb) formation, suspicion and management of infections, lupus-like syndrome (LLS), effects on bone mass and sexual sphere, and relationship between RA and periodontal disease (PD).<h4>Methods</h4>An overview of existing evidence was undertaken by an expert panel on behalf of the Italian ...[more]

PMID: 30498353

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Project description:IntroductionTo compare biologic disease-modifying antirheumatic drug therapy persistence between biologics among patients with rheumatoid arthritis (RA) who previously used ?1 other biologic.MethodsUsing a large United States administrative claims dataset, we identified adult patients with RA initiating abatacept, adalimumab, certolizumab, etanercept, golimumab, infliximab, or tocilizumab between January 1, 2010 and January 1, 2012 (initiation date = index). Patients were required to have used ?1 other biologic before index. Outcomes were biologic persistence, defined in two alternative ways: (1) time from initiation until switching to a different biologic (time to switch) and (2) time from initiation until switching or the first occurrence of a 90-day gap in treatment with the initiated biologic (time to switch/discontinuation). Rituximab was excluded from analyses due to retreatment based on clinical evaluation, which complicates the measurement of persistence. Multivariable survival analyses compared persistence outcomes between tocilizumab and the other biologics, adjusting for patient characteristics.ResultsThe sample comprised 9,782 biologic initiations; mean age 54 years and 82% female. Compared with tocilizumab, the hazards of switching biologic therapy were significantly higher for abatacept [hazard ratio (HR) = 1.19, P = 0.041], adalimumab (HR = 1.39, P < 0.001), certolizumab (HR = 1.39, P < 0.001), golimumab (HR = 1.20, P = 0.047), and infliximab (HR = 1.33, P < 0.001), but not significantly different for etanercept (HR = 1.19, P = 0.095); the hazards of switching/discontinuing biologic therapy were significantly higher for adalimumab (HR = 1.16, P = 0.014) and certolizumab (HR = 1.15, P < 0.012), but not significantly different for abatacept (HR = 1.08, P = 0.229), etanercept (HR = 0.97, P = 0.644), golimumab (HR = 0.99, P = 0.829), and infliximab (HR = 0.97, P = 0.721).ConclusionsThis is one of the first studies of biologic persistence to focus specifically on patients with RA who are not naïve to biologic treatment. Among patients with RA who previously used ?1 other biologic, tocilizumab-treated patients had similar or significantly better biologic persistence compared with other biologics.

Project description:The goal of this study was to investigate (1) the associations of rheumatoid arthritis (RA)-related inflammation or rheumatoid factor/anti-cyclic citrullinated peptide (anti-CCP) positivity with lipid profiles and insulin resistance (IR), (2) the effects of biologic therapy on lipid profiles and IR, and (3) potential predictors for the presence of subclinical atherosclerosis.Serum levels of lipid profiles were determined by enzymatic methods in 32 adalimumab-treated patients, 16 etanercept-treated patients, 24 tocilizumab-treated patients, and 20 biologic-naïve patients. Atherogenic index, which corresponds to the ratio of total cholesterol to high-density lipoprotein cholesterol (HDL-C), was calculated. IR was measured by homeostasis model assessment. Pro-inflammatory cytokine levels were examined by enzyme-linked immunosorbent assay. Common carotid artery intima-media thickness was determined by using sonography.There was an inverse correlation between disease activity (disease activity score for 28 joints, or DAS28) and low-density lipoprotein cholesterol (LDL-C) levels (r=-0.226, P<0.05) and a positive correlation between DAS28 and IR (r=0.361, P<0.005). Anti-CCP-positive patients had significantly higher DAS28 and IR compared with anti-CCP-negative patients. There was also a positive correlation between IR and levels of interleukin-6 or tumor necrosis factor-alpha (TNF-?). HDL-C levels significantly increased in patients receiving 6-month anti-TNF-? therapy, and levels of total cholesterol, LDL-C, and triglyceride increased in tocilizumab-treated patients. IR significantly decreased in patients under biologic therapy but was unchanged in biologic-naïve patients. Age, IR, and DAS28 were significant predictors of severe subclinical atherosclerosis (odds ratios of 1.08, 2.77, and 2.52, respectively).Significant associations of RA-related inflammation with lipid profiles and IR indicate the involvement of RA in atherosclerosis pathogenesis. Biologic therapies were associated with IR reduction without change in atherogenic index, but their beneficial effects on atherosclerosis reduction need to be verified in the future.

Project description:IntroductionA clinical trial (RACAT) reported the noninferiority of triple therapy compared to biologic agents (etanercept + methotrexate), and previous studies confirmed that biologic disease-modifying antirheumatic drugs (bDMARDs) are more expensive but less beneficial than triple therapy for patients with rheumatoid arthritis (RA) in whom methotrexate (MTX) fails. However, from the perspective of the Chinese healthcare system, the cost-effectiveness of triple therapy versus bDMARD treatment sequences as a first-line therapy for patients with RA is still unclear.MethodsAn individual patient simulation model was used to extrapolate the lifetime cost and health outcomes by tracing patients from initial treatment through switches to further treatment lines in a sequence. Therapeutic efficacy and physical function were evaluated using the American College of Rheumatology (ACR) response, 28-Joint Disease Activity Score (DAS28), and Health Assessment Questionnaire score. All input parameters in the model were derived from published studies, national databases, local hospitals, and experts' opinions. Both direct costs and indirect costs were taken into consideration. Probabilistic and one-way sensitivity analyses were performed to test the uncertainty of the model, as were multiple scenario analyses.ResultsThe lifetime analysis demonstrated that triple therapy was associated with lower costs and quality-adjusted life years (QALYs) than bDMARD sequences. These resulted in incremental cost-effectiveness ratios (ICERs) ranging from $87,090/QALY to $104,032/QALY, higher than the willingness-to-pay (WTP) threshold in China ($30,950/QALY). The baseline DAS28 impacted the model outcomes the most. Scenario analyses indicated that adding triple therapy to bDMARD sequences as a first-, second-, third-, or fourth-line therapy is very cost-effective, at a WTP of $10,316/QALY.ConclusionsFrom a Chinese payer perspective, triple therapy as first-line treatment in treatment sequence could be regarded as cost-effectiveness option for patients who failed MTX, compared to bDMARDs as first-line treatment, and instead of prescribing triple therapy as a substitute for bDMARDs as a first-line treatment, adding triple therapy to the bDMARD treatment sequence is likely to be very cost-effective for patients with active RA compared to bDMARD sequences.

Dataset Information

Personalization of biologic therapy in patients with rheumatoid arthritis: less frequently accounted choice-driving variables.

Publications

Personalization of biologic therapy in patients with rheumatoid arthritis: less frequently accounted choice-driving variables.

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