Impact of inadequate adherence on response to subcutaneously administered anti-tumour necrosis factor drugs: results from the Biologics in Rheumatoid Arthritis Genetics and Genomics Study Syndicate cohort

An Exploratory Study of Factors Associated with Medication Adherence in Chinese Rheumatoid Arthritis Patients

Purpose

This study aims to estimate the prevalence of medication adherence in Chinese patients with RA and to identify factors influencing it.

Patients and Methods

A cross - sectional study was conducted, involving 1137 RA patients who were treated at a university hospital in Guizhou, China. Sociodemographic data, medication adherence, patient satisfaction, and quality of life (QoL) were collected through face-to-face interviews, while disease course and comorbidities (including pneumonia and gastrointestinal conditions) were extracted from hospital information systems (HIS). Multifactorial logistic regression analysis was applied to assess the factors influencing patients' adherence. Subsequently, mediation analysis was employed to delve deeper into the interrelationships among the variables.

Results

The proportion of patients with good adherence was 61.57%. Multivariable logistic regression analysis revealed that patient satisfaction (OR=2.079), treatment regimen (OR=0.280), and pulmonary infection (OR=1.695) were independently associated with medication adherence. The QoL scores for the groups demonstrating good adherence and satisfaction were markedly higher compared to those exhibiting non-adherence and dissatisfaction (P<0.001). Medication adherence mediated the positive relationship between patient satisfaction and mental health (MH) in QoL (β= 0.140).

Conclusion

Our study demonstrates a significant positive correlation between patient satisfaction and medication adherence. Improving patients' satisfaction with treatment is feasible approaches to enhancing medication adherence. However, Single-center studies limit the generalizability of results, and potential confounding by unmeasured variables should be considered.

Medication adherence in rheumatoid arthritis: implications for cardiovascular disease risk and strategies to address in U.S. veterans

INTRODUCTION

Rheumatoid arthritis (RA) is a systemic inflammatory disease associated with an increased risk of cardiovascular disease (CVD) and premature mortality. The risk of CVD is closely associated with RA disease activity, and achieving RA remission using disease-modifying anti-rheumatic drugs (DMARDs) can significantly mitigate this risk. However, despite the availability of highly effective DMARDs, many veterans fail to achieve sustained RA remission.

AREAS COVERED

We will discuss DMARD adherence in U.S. veterans with RA as it relates to RA disease activity and CVD risk, describe factors associated with DMARD non-adherence in individuals with RA, and discuss intervention strategies to improve DMARD adherence. For this review, the authors performed an extensive literature search using Embase, PubMed, Google Scholar, MEDLINE, Cochrane Library, Web of Science, and Duke University library resources.

EXPERT OPINION

Barriers to DMARD adherence in veterans with RA are multifactorial and include patient-related factors, systemic barriers, and suboptimal adherence screening practices. Additional research is needed to create validated screening tools for DMARD adherence, train rheumatology providers on how to assess DMARD adherence, develop effective interventions to promote veteran self-efficacy in DMARD management, and to learn how to sustainably utilize multidisciplinary resources to support DMARD adherence in veterans with RA.

Beliefs of Moroccan patients with chronic inflammatory rheumatic diseases regarding medication: related factors and correlation with therapeutic adherence

BACKGROUND

Medication adherence is one of the key elements of the management of patients with chronic inflammatory rheumatic diseases (CIRDs), adherence/medication regimes are prone to being influenced by beliefs about medicines; such beliefs can influence the management and quality of life of patients. Several factors may be associated with these beliefs, including demographic and clinical factors, as well as socio-psychological factors. The aim of this study is to assess beliefs regarding medications among Moroccan patients with CIRDs, the factors associated with these beliefs, and the correlation of these factors with medication adherence.

MATERIAL AND METHOD

This cross-sectional study included patients with CIRDs. Sociodemographic data, comorbidities, and information about CIRDs (type, disease duration, pain evaluation, disease activity and treatments) were collected. Beliefs regarding medication were assessed by the Belief about Medicine Questionnaire (BMQ). Therapeutic adherence was assessed using the Arabic version of the Compliance Questionnaire in Rheumatology (CQR). Sociopsychological factors, such as catastrophism and trust in physicians, were assessed by the Pain Catastrophizing Scale (PCS) and the Trust in Physicians Scale (TPS), respectively.

RESULT

Our sample included 189 patients. The average age was 47.49 ± 13.7; 52.4% had comorbidities; and 49.2% had a low level of education. Of the patients, 49.7% were on glucocorticoids, 61.9% on conventional synthetic disease-modifying antirheumatic drugs and 6.3% on biologics. The median necessity-concern differential was 6 [1-12]. Of the patients, 67.4% strongly believed that medication was essential to maintain their health. The long-term side effects were the main concerns about medicines (51.3%). In a multivariate analysis, there was a statistically significant association between low level of education, catastrophizing, methotrexate use, and trust in the physician as independent factors and the BMQ necessity-concern differential as the dependent factor. There was also a significant correlation between CQR and the BMQ necessity score.

CONCLUSION

Moroccan patients with CIRDs have a rather positive perception of their medication. This perception seems to influence their adherence to treatment. Low levels of education, catastrophizing, methotrexate use, and trust in physicians are the most important factors associated with patients' beliefs regarding medication.

Adherence to the antirheumatic drugs: a systematic review and meta-analysis

Introduction

This systematic review and meta-analysis aimed to analyze the adherence rate for conventional and biological disease-modifying antirheumatic drugs (DMARDs) utilizing different assessment measures.

Method

A systematic literature search was performed in four electronic databases, including PubMed, Scopus, Web of Science, and the Cochrane Central Register of Controlled Trials (CENTRAL), covering the time frame from April 1970 to April 2023. Studies that present data on medication adherence among adult patients with rheumatoid arthritis (RA), specifically focusing on DMARDs (conventional or biological), were included in the analysis. The adherence rate for different assessment measures was documented and compared, as well as for conventional and biological DMARDs. A random-effects meta-analysis was performed to assess adherence rates across different adherence assessment measures and drug groups.

Results

The search identified 8,480 studies, out of which 66 were finally included in the analysis. The studies included in this meta-analysis had adherence rates ranging from 12 to 98.6%. Adherence rates varied across several adherent measures and calculation methods. Using the subjective assessment measures yielded the outcomes in terms of adherence rate: 64.0% [0.524, 95% CI 0.374-0.675] for interviews and 60.0% [0.611, 95% CI 0.465-0.758] for self-reported measures (e.g., compliance questionnaires on rheumatology CQR-5), p > 0.05. In contrast, the objective measurements indicated a lower adherence rate of 54.4% when using the medication event monitoring system (p > 0.05). The recorded rate of adherence to biological DMARDs was 45.3% [0.573, 95% CI 0.516-0.631], whereas the adherence rate for conventional DMARDs was 51.5% [0.632, 95% CI 0.537-0.727], p > 0.05. In the meta-regression analysis, the covariate "Country of origin" shows a statistically significant (p = 0.003) negative effect with a point estimate of -0.36, SE (0.12), 95% CI, -0.61 to -0.12.

Discussion

Despite its seemingly insignificant factors that affect the adherence rate, this meta-analysis reveals variation in adherence rate within the types of studies conducted, the methodology used to measure adherence, and for different antirheumatic drugs. Further research is needed to validate the findings of this meta-analysis before applying them to clinical practice and scientific research. In order to secure high reliability of adherence studies, compliance with available reporting guidelines for medication adherence research is more than advisable.

Estimation of optimal adherence threshold for tumor necrosis factor inhibitors in rheumatoid arthritis

INTRODUCTION

Optimal adherence thresholds can vary across medications and disease states. The objective of the study was to determine the optimal threshold of the proportion of days covered (PDC) for tumor necrosis factor (TNF) inhibitors in patients with rheumatoid arthritis (RA).

METHODS

Patients with RA initiating self-administered TNF inhibitors were identified using 2012-18 Medicare fee-for-service claims. Time-varying PDC was calculated every day for the preceding 90 days during follow-up. Oral and injected glucocorticoid use, hospitalizations, emergency room (ER) visits, serious infections, and a composite of these were measured as outcomes. Time to first occurrence of each outcome as a function of time-varying PDC for TNF inhibitors was evaluated using Cox regression. Incident/dynamic time-dependent receiver operating characteristic curves and Youden's J index were used to obtain the optimal PDC threshold for outcomes at 365 days.

RESULTS

Of the 1190 patients who met the study inclusion criteria, almost 75% (865 patients) experienced at least one of the outcomes. Increasing PDC by 10% was significantly associated with decreased risks of the composite outcome (HR 0.98, 95% CI 0.96-1.00), oral glucocorticoid use (HR 0.93, 95% CI 0.91-0.96), and hospitalization (HR 0.96, 95% CI 0.94-0.99) but an increased risk of ER visits (HR 1.04, 95% 1.01-1.07). Optimal PDC thresholds for the composite outcome, oral glucocorticoid use, and hospitalization were 0.64, 0.59, and 0.56, respectively.

CONCLUSIONS

Increased PDC was associated with a decreased risk of adverse outcomes, except ER visits. The optimal PDC for TNF inhibitors in Medicare patients with RA based on clinical outcomes was about 60%. Key Points • The optimal proportion of days covered threshold for tumor necrosis factor inhibitors at 365 days based on clinical outcomes was found to be about 60%, which is lower than the traditional 80% used to define adherence. • Increased adherence was associated with decreased risks of oral glucocorticoid use, hospitalization, and the composite outcome. However, it was also associated with an increased risk of emergency room visits. • The mean time-varying 90-day proportion of days covered decreased throughout the study starting 92% at day 1 of follow-up to 62% at day 365.

Adherence to Hidradenitis Suppurativa Treatment

Hidradenitis suppurativa (HS) is a chronic, debilitating skin condition that requires multimodal treatment. Adherence remains a significant challenge for many patients due to complex nature of treatment, thus presenting a barrier to management success. This review summarizes the current literature on the factors associated with adherence to medications, and lifestyle behaviors in patients with HS and proposes strategies to improve adherence. In February 2023, a systematic literature search was conducted by two independent authors on PubMed and EMBASE for articles from 2000 to 2023 on hidradenitis suppurativa adherence. A total of 21 articles met inclusion/exclusion criteria for this review. Of the studies, 11 addressed systemic medication adherence, 3 addressed topical medication adherence, 2 addressed both systemic and topical medication adherence, and 5 addressed lifestyle/behavioral modification adherence. The generalizability of results was limited by differences in study design, outcome measures, and sample size. English-only articles with full texts were used. The most reported reasons for non-adherence included presence of side effects, cost of medications, low efficacy, and unclear instructions. Proposed strategies to improve adherence in HS patients include management of side effects, use of reminder systems, improved patient education, patient support groups, aid of family and caregivers, personalization of the medication regimen, and regular follow-ups with patients. PROSPERO Registration Number: CRD42023488549.

Towards Personalized Medicine in Rheumatoid Arthritis

Rheumatoid arthritis (RA) is a chronic, incurable, multisystem, inflammatory disease characterized by synovitis and extra-articular features. Although several advanced therapies targeting inflammatory mechanisms underlying the disease are available, no advanced therapy is universally effective. Therefore, a ceiling of treatment response is currently accepted where no advanced therapy is superior to another. The current challenge for medical research is the discovery and integration of predictive markers of drug response that can be used to personalize medicine so that the patient is started on "the right drug at the right time". This review article summarizes our current understanding of predicting response to anti-rheumatic drugs in RA, obstacles impeding the development of personalized medicine approaches and future research priorities to overcome these barriers.

Satisfaction with the Injection Experience of a New, Citrate-Free Formulation of Ixekizumab

INTRODUCTION

A new, citrate-free ixekizumab formulation, which is bioequivalent to the original formulation, was associated with significant reduction in injection site pain. This study evaluates patient satisfaction with the first injection experience of citrate-free ixekizumab in a real-world setting.

METHODS

A non-interventional, observational, web-based survey of adults (≥ 18 years) with psoriasis, psoriatic arthritis, or axial spondyloarthritis was conducted between August 2022 and March 2023. Patients enrolled in the Taltz US Customer Support Program were identified as receiving either the original ixekizumab or initiating citrate-free ixekizumab. Patients receiving original ixekizumab completed one survey at baseline to assess satisfaction with the formulation and one survey after switching to assess satisfaction, willingness to continue using and recommending citrate-free ixekizumab, and formulation preference. Participants previously exposed to ixekizumab completed one survey to assess their satisfaction and willingness to continue using and recommending citrate-free ixekizumab. Descriptive and comparative statistics are reported for patients that switched from original to citrate-free ixekizumab (n = 361); and descriptive statistics are reported for patients not previously exposed to ixekizumab (n = 90).

RESULTS

A total of 451 patients were included in the analysis. Significantly more patients were satisfied with their first injection with citrate-free ixekizumab compared to original ixekizumab (83.9% vs. 71.7% respectively; p = 0.0001). Almost all patients who switched from original ixekizumab were definitely or mostly willing to continue using and recommending citrate-free ixekizumab (93.9% and 93.4%, respectively). Additionally, 94.2% of patients who switched from original to citrate-free ixekizumab preferred citrate-free ixekizumab or had no preference. Three-fourths of patients not previously exposed to ixekizumab were satisfied with their first injection with citrate-free ixekizumab and 94.5% were definitely or mostly willing to continue using citrate-free ixekizumab.

CONCLUSION

The citrate-free ixekizumab formulation was preferred and well accepted by most patients who switched from the original ixekizumab formulation. Similar findings were seen for those newly initiating citrate-free ixekizumab.

Using Electronic Health Records and Linked Claims Data to Assess New Medication Use and Primary Nonadherence in Rheumatology Patients

OBJECTIVE

The objective of this study was to determine the proportion of new medication prescriptions observed in electronic health records (EHR) that represent true incident medication use, accounting for undocumented previous prescriptions (prevalent medication use) and failure to initiate treatment (primary nonadherence) with linked administrative claims data as the reference standard.

METHODS

Using single-specialty rheumatology EHR data from more than 700 community practices in the United States linked to administrative claims data, we identified first (index) EHR prescriptions and assessed the positive predictive value (PPV) of different EHR-derived new user definitions to identify true incident use (no prior claims). We then assessed how often index EHR prescriptions that met a definition of new use resulted in primary nonadherence (no subsequent claims).

RESULTS

Overall, 12,405 index EHR prescriptions were identified with PPVs of 0.59 to 0.67 for true incident use. PPVs increased to 0.76 to 0.85 by excluding medications listed during the EHR medication reconciliation process and further increased to 0.87 to 0.93 by requiring ≥12 elapsed months since the first rheumatology office visit. Primary nonadherence at three months was observed in 33% to 38% overall and varied substantially by medication class, ranging from 15% to 23% for conventional synthetic disease-modifying antirheumatic drugs (DMARDs) to 54% to 64% for targeted synthetic DMARDs.

CONCLUSION

New DMARD use was accurately distinguished from prevalent use with EHR prescriptions and simple new user definitions that include current medications collected during medication reconciliation. Primary nonadherence was frequent and varied by DMARD class. This has important implications for epidemiologic studies using EHR data and for optimal delivery of clinical care.

Psoriatic arthritis: the role of self-reported non-adherence, non-trough drug levels, immunogenicity and conventional synthetic DMARD co-therapy in adalimumab and etanercept response

Objective

The aim of this study was to assess the relationship between self-reported non-adherence, non-trough drug levels, immunogenicity and conventional synthetic DMARD (csDMARD) co-therapy in TNF inhibitor (TNF-i) drug response in PsA.

Methods

Serum samples and adherence questionnaires were collected at baseline, 3, 6 and 12 months for PsA patients prescribed TNF-i. Non-trough adalimumab (ADL) and etanercept (ETN) drug levels were measured at 3 and 6 months using commercially available ELISAs. Clinical response was assessed using PsA response criteria (PsARC) and change in 28-joint DAS (ΔDAS28) between baseline and 3, 6 and 12 months.

Results

In 244 PsA patients (52.5% ADL and 47.5% ETN), self-reported non-adherence was associated with PsARC non-response over 12 months using generalized estimating equation (GEE) modelling (P = 0.037). However, there was no significant difference between non-trough ADL or ETN drug levels based on self-reported non-adherence. Higher ETN levels at 3 months were associated with PsARC response at 3 (P = 0.015), 6 (P = 0.037) and 12 months (P = 0.015) and over 12 months using GEE modelling (P = 0.026). Increased ADL drug levels at 3 months were associated with greater ΔDAS28 at 3 months (P = 0.019). ADL anti-drug antibody-positive status was significantly associated with lower 3- and 6-month ADL levels (P < 0.001) and ΔDAS28 and PsARC response at 3, 6 and 12 months. Meanwhile, MTX co-therapy was associated with a reduction in immunogenicity at 3 and 6 months (P = 0.008 and P = 0.024).

Conclusion

Although both were associated with reduced response, the objectively measured non-trough drug levels showed more significant associations with drug response than self-reported non-adherence measures.

Therapeutic advances in rheumatoid arthritis

Rheumatoid arthritis (RA) is one of the most common immune mediated inflammatory diseases. People with rheumatoid arthritis present with pain, swelling, and stiffness that typically affects symmetrically distributed small and large joints. Without effective treatment, significant joint damage, disability, and work loss develop, owing to chronic inflammation of the joint lining (synovium). Over the past 25 years, the management of this condition has been revolutionized, resulting in substantially higher levels of disease remission and better long term outcomes. This improvement reflects a paradigm shift towards early and aggressive pharmacological intervention coupled with a proliferation in treatment choice, in turn related to enhanced pathobiological understanding and the advent of new drugs for rheumatoid arthritis. Following an overview of these developments from a historical perspective, and with a general audience in mind, this review focuses on newer, targeted treatments in an ever evolving landscape. The review highlights ongoing areas of debate and unmet need, including the proportion of patients with persistent, difficult-to-treat disease, despite recent advances. Also discussed are personalized, strategic approaches to individual patients, the role for imaging in clinical decision making, and the goal of sustained, drug free remission and disease prevention in the future.

Adherence to biological therapies in patients with rheumatoid arthritis: a retrospective cohort study

The advent of biologic disease-modifying antirheumatic drugs has dramatically changed the comprehensions of treatment and long-term prognosis in patients with rheumatoid arthritis. The potent therapeutic results can only be achieved if the patients adhere to prescribed medications. The objective of this study was to estimate the impact of age, gender, duration of the disease, concomitant Methotrexate therapy, prior exposure to biologic agents, disease activity, functional capacity, and health-related quality of life on adherence to biologic treatment among Bulgarian population with rheumatoid arthritis. This was a retrospective observational cohort study that included 179 patients. At the baseline visit and subsequent follow-up assessments at 6, 12, 24 and 36 months, patients were interviewed by a physician and underwent physical examinations. We monitored the changes in disease activity, functional capacity and health-related quality of life on each time point. Univariate and multivariate binary logistic regression was used to determine the prognostic value of possible predictors of treatment adherence. Our findings showed that only DAS28 score [odd ratio (OR) = 1.174; 95% CI 1.74-2.362] and HAQ score (OR 2.803; 95% CI 1.428-5.503) remained significant for the treatment adherence throughout the study period. The adherence to the biologic disease-modifying anti-rheumatic drugs among Bulgarian patients with rheumatoid arthritis is suboptimal. A multifaceted and comprehensive knowledge of the influencing factors can be useful for the development of different strategies that can improve treatment adherence.

Development of a sensitive biochemical assay for the detection of tofacitinib adherence

Rheumatoid arthritis (RA) is a chronic autoimmune inflammatory disease. Tofacitinib is a Janus Kinase inhibitor licensed for the treatment of RA that, unlike biologic anti-rheumatic drugs, is administered orally, but studies of long-term treatment adherence rates are lacking. The measurement of adherence, however, is challenging and there is currently no gold standard test for adherence. Here, we developed a novel HPLC MS/MS assay for the quantification of tofacitinib. The assay demonstrated a LLOQ for tofacitinib of 0.1 ng ml-1, within run accuracy was 81-85% at LLOQ and 91-107% at all other levels. To investigate the ability of the assay to detect adherence, tofacitinib was measured in a random selection of serum samples (n = 10) of tofacitinib treated RA patients who self-reported adherent behaviour. The assay measured tofacitinib in all samples above the LLOQ demonstrating the potential of the assay to sensitively measure biochemical adherence in real-world patient samples. This method for detection of adherence has the potential to be a more objective measure that could be used in the future in the clinic but will require further studies to explore factors that may influence measurement of drug levels, such as clinical characteristics of patients.

Continuity of Care Within a Single Patient Support Program for Patients with Rheumatoid Arthritis Prescribed Second or Later Line Advanced Therapy

INTRODUCTION

Guidelines suggest patients with rheumatoid arthritis (RA) inadequately controlled by tumor-necrosis-factor-inhibitors (TNFis) may benefit from switching to Janus-kinase-inhibitors (JAKis); however, care coordination and access can be complicated. Disruptions in transitioning to JAKi treatment could lead to disease flares requiring hospitalization; however, transitioning between products within the same patient support program (PSP) services aimed at ensuring continuity of care may minimize disruptions.

METHODS

A retrospective, longitudinal cohort study of adult patients with RA newly prescribed JAKi following TNFi treatment in the Symphony Health claims database. Patients with baseline TNFi use and ≥ 6 months of data before (baseline) and after (follow-up) the initial JAKi claim (approved or denied) were included. Cohorts were defined by transitions between products within the same PSP [adalimumab (ADA) and upadacitinib (UPA)] or not. Disruptions were defined as gap in care ≥ 15 days due to failure/delay in receiving coverage approval or picking up an approved prescription. Disruptions followed by JAKi dispense were considered temporary and those without permanent. Odds ratios (ORs) of disruption and hospitalization were estimated from logistic regressions controlling for patient characteristics and treatment history.

RESULTS

A total of 2371 patients were included: 317 transitioning from ADA-UPA, 321 TNFi-UPA, 860 ADA-another JAKi, and 873 another TNFi-another JAKi. Temporary and permanent disruptions increased odds of hospitalization by 47% and 123% (both p < 0.05). Temporary disruption rates were lowest for ADA-UPA patients (19%) compared to other TNFi-UPA (25%; OR = 1.46), ADA-other JAKi (29%; OR = 1.59), and other TNFi-other JAKi (31%; OR = 1.74), all p < 0.05. For transitions to UPA, temporary disruptions were lower for patients using the PSP (17%) versus not (24%; OR = 1.45, p < 0.05). No differences were found for permanent disruptions.

CONCLUSION

Disruptions for patients with RA transitioning from TNFi to JAKi treatment are associated with increased hospitalization rates. Transitioning between drugs within the same PSP could lower the risk of disruption.

Customer-centric product presentations for monoclonal antibodies

Delivering customer-centric product presentations for biotherapeutics, such as monoclonal antibodies (mAbs), represents a long-standing and paramount area of engagement for pharmaceutical scientists. Activities include improving experience with the dosing procedure, reducing drug administration-related expenditures, and ultimately shifting parenteral treatments outside of a controlled healthcare institutional setting. In times of increasingly cost-constrained markets and reinforced with the coronavirus pandemic, this discipline of "Product Optimization" in healthcare has gained momentum and changed from a nice-to-have into a must. This review summarizes latest trends in the healthcare ecosystem that inform key strategies for developing customer-centric products, including the availability of a wider array of sustainable drug delivery options and treatment management plans that support dosing in a flexible care setting. Three disease area archetypes with varying degree of implementation of customer-centric concepts are introduced to highlight relevant market differences and similarities. Namely, rheumatoid arthritis and inflammatory bowel disease, multiple sclerosis, and oncology have been chosen due to differences in the availability of subcutaneously dosed and ready-to-use self-administration products for mAb medicines and their follow-on biologics. Different launch scenarios are described from a manufacturer's perspective highlighting the necessity of platform approaches. To unfold the full potential of customer-centric care, value-based healthcare provider reimbursement schemes that incentivize the efficiency of care need to be broadly implemented.

Do genetics contribute to TNF inhibitor response prediction in Psoriatic Arthritis?

Psoriatic arthritis (PsA) is a heterogeneous chronic musculoskeletal disease, affecting up to 30% of people with psoriasis. Research into PsA pathogenesis has led to the development of targeted therapies, including Tumor Necrosis Factor inhibitors (TNF-i). Good response is only achieved by ~60% of patients leading to 'trial and error' drug management approaches, adverse reactions and increasing healthcare costs. Robust and well-validated biomarker identification, and subsequent development of sensitive and specific assays, would facilitate the implementation of a stratified approach into clinical care. This review will summarise potential genetic biomarkers for TNF-i (adalimumab, etanercept and infliximab) response that have been reported to date. It will also comment upon the importance of managing clinical confounders when understanding drug response prediction. Variants in multiple gene regions including TNF-A, FCGR2A, TNFAIP3, TNFR1/TNFR1A/TNFRSF1A, TRAIL-R1/TNFRSF10A, FCGR3A have been reported to correlate with TNF-i response at various levels of statistical significance in patients with PsA. However, results were often from heterogenous and underpowered cohorts and none are currently implemented into clinical practice. External validation of genetic biomarkers in large, well-documented cohorts is required, and assessment of the predictive value of combining multiple genetic biomarkers with clinical measures is essential to clinically embed pharmacogenomics into PsA drug management.

Non-Trough adalimumab and certolizumab drug levels associated with a therapeutic EULAR response in adherent patients with rheumatoid arthritis

OBJECTIVES

Interventions aimed at increasing tumour-necrosis factor-alpha inhibitor serum drug levels (SDLs) may improve treatment response; however, previous studies suggesting SDL cut-offs have not accounted for treatment adherence. The aim of this study was to establish the relationship between Adalimumab/Certolizumab SDLs and EULAR good vs non/moderate response, and to define SDL cut-offs associated with good response in fully adherent patients.

METHODS

In a prospective observational study, 475 patients with RA were treated with Certolizumab (n = 192) or Adalimumab (n = 283). At baseline, 3/6/12-months patients had DAS28, self-reported treatment adherence, and SDLs measured. Fully adherent patients were analysed as a subgroup. Follow-up data at 3/6/12-months was analysed separately. Median SDLs were compared in good vs non/moderate response, and receiver-operator characteristics curves (ROC) were used to establish cut-off SDLs.

RESULTS

Fully adherent good responders had significantly higher median Adalimumab/Certolizumab SDLs compared with non/moderate responders (p= 0·04 and p= 0·0005, respectively). ROC analysis reported 3-month non-trough Adalimumab SDLs discriminated good vs non/moderate response with an AUC of 0·63 (95% CI 0·52-0·75), with a cut-off of 7·5mg/l being 39·1% specific, and 80·9% sensitive. Similarly, 3-month non-trough Certolizumab SDLs discriminated good vs non/moderate response with an AUC of 0·65 (95% CI 0·51-0·78), with a cut-off of 26·0mg/l being 43·9% specific, and 77·8% sensitive.

CONCLUSION

In fully adherent patients, higher SDLs are detected in good responders suggesting that interventions to improve SDLs such as encouraging adherence could improve treatment response. 3-month non-trough SDL cut-offs of 7·5mg/l for Adalimumab and 26·0mg/l for Certolizumab may be useful in clinical practice.

Multilevel factors predict medication adherence in rheumatoid arthritis: a 6-month cohort study

Non-adherence challenges efficacy and costs of healthcare. Knowledge of the underlying factors is essential to design effective intervention strategies.

OBJECTIVES

To estimate the prevalence of treatment adherence in rheumatoid arthritis (RA) and to evaluate its predictors.

METHODS

A 6-month prospective cohort study of patients with RA selected by systematic stratified sampling (33% on first disease-modifying rheumatic drug (DMARD), 33% on second-line DMARD and 33% on biologics). The outcome measure was treatment adherence, defined by a score greater than 80% both in the Compliance Questionnaire in Rheumatology and the Reported Adherence to Medication scale, and was estimated with 95% CIs. Predictive factors included sociodemographic, psychological, clinical, drug-related, patient-doctor relationship related and logistic. Their effect on 6-month adherence was examined by multilevel logistic models adjusted for baseline covariates.

RESULTS

180 patients were recruited (77% women, mean age 60.8). The prevalence of adherence was 59.1% (95% CI 48.1% to 71.8%). Patients on biologics showed higher adherence and perceived a higher medication need than the others; patients on second-line DMARDs had experienced more adverse events than the others. The variables explaining adherence in the final multivariate model were the type of treatment prescribed (second-line DMARDs OR=5.22, and biologics OR=3.76), agreement on treatment (OR=4.57), having received information on treatment adaptation (OR=1.42) and the physician perception of patient trust (OR=1.58). These effects were independent of disease activity.

CONCLUSION

Treatment adherence in RA is far from complete. Psychological, communicational and logistic factors influence treatment adherence in RA to a greater extent than sociodemographic or clinical factors.

Satisfaction and Adherence to Biological Treatment in Patients with Rheumatic Diseases

BACKGROUND

Autoimmune inflammatory rheumatic diseases have long been treated by conventional disease-modifying anti-rheumatic drugs. Biological therapy is a new era in the treatment of rheumatic diseases, but satisfaction and adherence to it is still not well tested.

AIM

To assess the satisfaction and adherence to biological treatment among patients with autoimmune inflammatory rheumatic diseases.

METHODS

A cross sectional study was conducted among 56 patients suffering from inflammatory rheumatic diseases using Morisky 8 questionnaire and Treatment Satisfaction Questionnaire for Medication (TSQM) over a period of one month.

RESULTS

About 76.8% of the patients had medium adherence and the underlying cause of missing doses was the unavailability of the drugs. The mean satisfaction with biological treatment was 62.7±6.9. Patients who did not receive formal education had significantly higher satisfaction with the biological treatment than others 64.94±5.01 at a P value 0.04 (<0.05).

CONCLUSION

Patients with inflammatory rheumatic diseases in our study showed medium adherence and satisfaction. Authorities in the medical field are providing great help to these patients in need of biological therapy, but ensuring the availability of all doses of the biological treatment regimen is still necessary. Patient, family and nurse education programs are also necessary to maximize adherence and satisfaction.

Adherence to self-administered biologic disease-modifying antirheumatic drugs across health-system specialty pharmacies

Disclaimer

In an effort to expedite the publication of articles related to the COVID-19 pandemic, AJHP is posting these manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time.

Purpose

Adherence to self-administered biologic disease-modifying antirheumatic drugs (bDMARDs) is necessary for therapeutic benefit. Health-system specialty pharmacies (HSSPs) have reported high adherence rates across several disease states; however, adherence outcomes in rheumatoid arthritis (RA) populations have not yet been established.

Methods

We performed a multisite retrospective cohort study including patients with RA and 3 or more documented dispenses of bDMARDs from January through December 2018. Pharmacy claims were used to calculate proportion of days covered (PDC). Electronic health records of patients with a PDC of <0.8 were reviewed to identify reasons for gaps in pharmacy claims (true nonadherence or appropriate treatment holds). Outcomes included median PDC across sites, reasons for treatment gaps in patients with a PDC of <0.8, and the impact of adjusting PDC when accounting for appropriate therapy gaps.

Results

There were 29,994 prescriptions for 3,530 patients across 20 sites. The patient cohort was mostly female (75%), with a median age of 55 years (interquartile range [IQR], 42-63 years). The original(ie, prereview) median PDC was 0.94 (IQR, 0.83-0.99). Upon review, 327 patients had no appropriate treatment gaps identified, 6 patients were excluded due to multiple unquantifiable appropriate gaps, and 420 patients had an adjustment in the PDC denominator due to appropriate treatment gaps (43 instances of days’ supply adjusted based on discordant days’ supply information between prescriptions and physician administration instructions, 11 instances of missing fills added, and 421 instances of clinically appropriate treatment gaps). The final median PDC after accounting for appropriate gaps in therapy was 0.95 (IQR, 0.87-0.99).

Conclusion

This large, multisite retrospective cohort study was the first to demonstrate adherence rates across several HSSPs and provided novel insights into rates and reasons for appropriate gaps in therapy.

Pro: Access to advanced therapies for severe asthma should be restricted to patients with satisfactory adherence to maintenance treatment

Inhaled corticosteroids (ICS) are the core component of asthma treatment and the only maintenance therapy known to prevent asthma death. There is currently no evidence that biologics prevent asthma death in people with asthma, and as such, biologics cannot be recommended as an alternative to ICS therapy. Taking the time to assess adherence and provide interventions and education to support patients in asthma self-management has been shown to improve patient outcomes. It is therefore our responsibility as healthcare professionals to ensure that patients are supported, educated and motivated to adhere to ICS therapy before progressing to biologic therapies.

ICS save lives. It is therefore our responsibility as healthcare professionals to ensure that patients are supported, educated and motivated to improve poor ICS adherence before treatment is further escalated to biologic therapy. https://bit.ly/3o2q26i

Adherence and persistence in patients with rheumatoid arthritis at an integrated health system specialty pharmacy

BACKGROUND: Disease-modifying anti-rheumatic drugs (DMARDs) improve symptoms and delay progression of rheumatoid arthritis (RA), but adherence is often sub-optimal and many patients change medication (either "switching" to a medication with a different mechanism of action or "cycling" to a medication with the same mechanism of action) during the first year of therapy. Some integrated health-system specialty pharmacies embed pharmacists in clinics to help patients access and adhere to specialty medication. OBJECTIVE: This study assessed DMARD switching, cycling, adherence, and persistence at an outpatient rheumatology clinic with an integrated health-system specialty pharmacy. METHODS: We conducted a retrospective cohort study of adults with RA, naïve to biologic or targeted synthetic DMARDs, who filled ≥ 2 biologic or targeted synthetic DMARD prescriptions within 12 months. Adherence was measured using proportion of days covered (PDC); persistence was computed at 12 months. Univariate analyses compared adherence and persistence between patients with and without a medication change. Ordinal logistic regression examined whether PDC was associated with patient age, gender, race, insurance type, and medication change. RESULTS: We included 772 patients: 79% female/21% male, 89% White/11% non-White, median age 56 years (interquartile range = 48-63). Most patients (84%) did not change medication during the study period, 5% cycled medication one or more times (but did not switch), 9% switched medication one or more times (but did not cycle), and 2% of patients both switched and cycled during the study period. Median PDC of the sample was 0.94 and 73% of patients were persistent. Patients with a medication change had lower PDC than those without (0.89 vs 0.95, P = 0.004), but rate of persistence did not significantly differ between groups (77 vs 72%, P = 0.300). Odds of higher PDC was more likely for men (Odds ratio [OR] = 1.82, 95% confidence interval [CI]: 1.34-2.48, P < 0.001) and less likely for patients who changed medication (OR = 0.65, CI: 0.47-0.91, P = 0.011); age, race, and insurance type were not significant. CONCLUSIONS: Patients with RA demonstrated high medication adherence and persistence, and low rates of switching and cycling. Findings support evidence that integrated health-system specialty pharmacies with clinical pharmacists embedded in outpatient clinics help patients overcome barriers to medication adherence to persist on therapy. DISCLOSURES: This study was funded by Sanofi, Inc. James and J. Choi were employed by Sanofi, Inc., at the time of this study. Peter, Zuckerman, DeClercq, L. Choi, and Tanner, received research funding from Sanofi, Inc., for work on this study. Tanner has also received advisory board/speaker bureau fees from Pfizer, Regeneron, and Sanofi-Aventis. This study was presented as a poster at AMCP Nexus in October 2019 at National Harbor, MD.

Translating research into clinical practice: quality improvement to halve non-adherence to methotrexate

Objective

MTX remains the cornerstone for therapy for RA, yet research shows that non-adherence is significant and correlates with response to therapy. This study aimed to halve self-reported non-adherence to MTX at the Kellgren Centre for Rheumatology.

Methods

An anonymous self-report adherence questionnaire was developed and data collected for 3 months prior to the introduction of interventions, and then regularly for the subsequent 2.5 years. A series of interventions were implemented, including motivational interviewing training, consistent information about MTX and development of a summary bookmark. Information on clinic times was collected for consultations with and without motivational interviewing. Surveys were conducted to ascertain consistency of messages about MTX. A biochemical assay was used to test MTX serum levels in patients at two time points: before and 2.8 years following introduction of the changes. Remission rates at 6 and 12 months post-MTX initiation were retrieved from patient notes and cost savings estimated by comparing actual numbers of new biologic starters compared with expected numbers based on the numbers of consultants employed at the two time points.

Results

Between June and August 2016, self-reported non-adherence to MTX was 24.7%. Following introduction of the interventions, self-reported non-adherence rates reduced to an average of 7.4% between April 2018 and August 2019. Clinic times were not significantly increased when motivational interviewing was employed. Consistency of messages by staff across three key areas (benefits of MTX, alcohol guidance and importance of adherence) improved from 64% in September 2016 to 94% in January 2018. Biochemical non-adherence reduced from 56% (September 2016) to 17% (June 2019), whilst remission rates 6 months post-initiation of MTX improved from 13% in 2014/15 to 37% in 2017/18, resulting is estimated cost savings of £30 000 per year.

Conclusion

Non-adherence to MTX can be improved using simple measures including focussing on the adherence and the benefits of treatment, and providing consistent information across departments.

Sustained long-term benefits of patient support program participation in immune-mediated diseases: improved medication-taking behavior and lower risk of a hospital visit

BACKGROUND: Patient support programs (PSPs) improve medication-taking behavior in the first 12 months of treatment for patients with immune-mediated diseases, but it is unknown if these benefits are sustained. As immune-mediated diseases continue to increase in prevalence and economic burden, understanding the potential value of PSPs in helping patients adhere to their long-term treatment plan and avoid costly hospital visits is crucial. Launched nationally in 2015, HUMIRA Complete (a PSP for adalimumab patients) provides an opportunity to study long-term effects of PSP participation, including the impact on medication-taking behavior and hospital visits. OBJECTIVE: To evaluate the sustained relationship between PSP participation, long-term medication-taking behavior, and hospital visits. METHODS: A longitudinal, retrospective matched-cohort study was conducted of patients initiating adalimumab between January 2015 and February 2016 with or without enrolling in the PSP, using patient-level data from the HUMIRA Complete PSP linked with Symphony Health claims. The sample included adult, commercially insured patients diagnosed with an indicated disease who were biologic-naive and had data available for ≥ 6 months before and ≥ 12 months after initiating adalimumab. Adherence (proportion of days covered) and hospital visits were assessed at 12, 24, and 36 months for patients with sufficient follow-up data. Multivariable generalized models estimated differences between cohorts, controlling for baseline characteristics and hospital visits. Duration of persistence and time to a hospital visit were compared using Kaplan-Meier analyses. Hazard ratios were estimated using multivariable Cox proportional hazards models. RESULTS: The matched cohort included 2,268 patients (1,134 per cohort), and patient attrition was similar across cohorts. The PSP cohort consistently demonstrated higher adalimumab adherence than the non-PSP cohort at 12 (64.8% vs. 50.1%, P < 0.0001; 29% greater), 24 (49.4% vs. 38.4%; P < 0.0001; 29% greater), and 36 (39.4% vs. 35.1%; P = 0.02; 12% greater) months. PSP participation was associated with a 30% lower hazard of discontinuation (P < 0.0001), and median duration of persistence was 4.8 months longer for the PSP cohort (13.2 vs. 8.4 months; P < 0.0001). The PSP cohort had lower rates of hospital visits at 12 (30% vs. 37%; P < 0.001; 19% lower), 24 (44% vs. 53%; P = 0.01; 17% lower), and 36 (55% vs. 65%; P < 0.01; 16% lower) months, and PSP participation was associated with a 25% lower hazard of a hospital visit (P < 0.0001). Median time to a hospital visit was 10.8 months longer for the PSP cohort (32.7 vs. 21.9 months; P < 0.0001). Findings were consistent across therapeutic areas: hazard of a hospital visit was 28%, 27%, and 37% lower for rheumatology, gastroenterology, and dermatology patients participating in the PSP (all P < 0.05). CONCLUSIONS: Patients with immune-mediated diseases receiving adalimumab and utilizing this PSP had improved long-term medication-taking behavior and lower risk of hospital visits, demonstrating the potential of PSPs to improve patient outcomes and lower the burden to the health care system. DISCLOSURES: Design, study conduct, and financial support for the study were provided by AbbVie Inc., which participated in the interpretation of data, review, and approval of the manuscript. Fendrick has received personal fees from Merck, AstraZeneca, Trizetto, Amgen, Lilly, AbbVie, Johnson & Johnson, and Sanofi; grants from the National Pharmaceutical Council, PhRMA, the Gary and Mary West Health Foundation, the states of New York and Michigan, the Laura and John Arnold Foundation, the Robert Wood Johnson Foundation, and the Agency for Healthcare Research and Quality; and equity in Zansors, Sempre Health, Wellth, and V-BID Health. Brixner has received consulting fees from AbbVie, Novartis, Xcenda, Elevar Therapeutics, Sanofi, UCB Pharma, and the Millcreek Outcomes Group. Rubin has received consulting fees from AbbVie, Abgenomics, Allergan Inc., Amgen, Celgene Corporation, Forward Pharma, Genentech/Roche, Janssen Pharmaceuticals, Merck & Co., Miraca Life Sciences, Mitsubishi Tanabe Pharma Development America, Napo Pharmaceuticals, Pfizer, Salix Pharmaceuticals Inc., Samsung Bioepis, Sandoz Pharmaceuticals, Shire, Takeda, and Target Pharmaceuticals; and research support from AbbVie, Genentech/Roche, Janssen Pharmaceuticals, Prometheus Laboratories, Shire, Takeda, and UCB Pharma. Mease has received grant/research support from AbbVie, Amgen, BMS, Celgene, Janssen, Lilly, Merck, Novartis, Pfizer, SUN Pharma, and UCB; consulting fees from AbbVie, Amgen, BMS, Boehringer Ingelheim, Celgene, Galapagos, Genentech, Gilead, GlaxoSmithKline, Janssen, Lilly, Novartis, Pfizer, SUN Pharma, and UCB; and has served on the speakers bureau for AbbVie, Amgen, Celgene, Janssen, Lilly, Novartis, Pfizer, and UCB. Liu has no financial conflict of interest. Davis is an employee of Medicus Economics, which received payment from AbbVie to participate in this research. Mittal is an employee and stockholder of AbbVie. This study used a cohort of patients previously described in Brixner D, Rubin DT, Mease P, et al. Patient support program increased medication adherence with lower total health care costs despite increased drug spending. J Manag Care Spec Pharm. 2019 Jul;25(7):770-79 (doi: 10.18553/jmcp.2019.18443). As such, the sample selection and select baseline characteristics and 12-month outcomes have been published previously; however, the hospital visit outcomes and the longer-term medication-taking behavior outcomes have not been previously published or presented.

Digital Health Integration Assessment and Maturity of the United States Biopharmaceutical Industry: Forces Driving the Next Generation of Connected Autoinjectable Devices

Autoinjectable devices continue to provide real-life benefits for patients with chronic conditions since their widespread adoption 30 years ago with the rise of macromolecules. Nonetheless, issues surrounding adherence, patient administration techniques, disease self-management, and data outcomes at scale persist despite product design innovation. The interface of drug device combination products and digital health technologies formulates a value proposition for next-generation autoinjectable devices to power the delivery of precision care at home and achieve the full potential of biologics. Success will largely be dependent on biopharma’s digital health maturity to implement this framework. This viewpoint measures the digital health maturity of the top 15 biopharmaceutical companies in the US biologics autoinjector market and establishes the framework for next-generation autoinjectable devices powering home-based precision care and the need for formal digital health training.

Transcriptome-wide study of TNF-inhibitor therapy in rheumatoid arthritis reveals early signature of successful treatment

BACKGROUND

Despite the success of TNF-inhibitor therapy in rheumatoid arthritis treatment, up to 40% of patients fail to respond adequately. This study aimed to identify transcriptome-based biomarkers of adalimumab response in rheumatoid arthritis (RA) to aid timely switching in non-responder patients and provide a better mechanistic understanding of the pathways involved in response/non-response.

METHODS

The Affymetrix Human Transcriptome Array 2.0 (HTA) was used to measure the transcriptome in whole blood at pre-treatment and at 3 months in EULAR good- and non-responders to adalimumab therapy. Differential expression of transcripts was analysed at the transcript level using multiple linear regression. Differentially expressed genes were validated in independent samples using OpenArray™ RT-qPCR.

RESULTS

In total, 813 transcripts were differentially expressed between pre-treatment and 3 months in adalimumab good-responders. No significant differential expression was observed between good- and non-responders at either time-point and no significant changes were observed in non-responders between time-points. OpenArray™ RT-qPCR was performed for 104 differentially expressed transcripts in good-responders, selected based on magnitude of effect or p value or based on prior association with RA or the immune system, validating differential expression for 17 transcripts.

CONCLUSIONS

An early transcriptome signature of DAS28 response to adalimumab has been identified and replicated in independent datasets. Whilst treat-to-target approaches encourage early switching in non-responsive patients, registry evidence suggests that this does not always occur. The results herein could guide the development of a blood test to distinguish responders from non-responders at 3 months and support clinical decisions to switch non-responsive patients to an alternative therapy.

Adherence to subcutaneous biological therapies in patients with inflammatory rheumatic diseases and inflammatory bowel disease: a systematic review

Aim: To assess adherence to subcutaneous biologicals in adults with inflammatory rheumatic diseases or inflammatory bowel disease and evaluate factors possibly associated with adherence. Materials & methods: Systematic searches were conducted of main databases from January 2000 to June 2019. Results: 41 articles (32 full papers and nine abstracts) were included in the review. Among studies which used a medication possession ratio threshold of ≥80% as the end point, adherence varied from 28.8 to 89.4%. Possible predictors of adherence were older age, professional or family member support, belief in medication necessity, lower concerns about medication and monthly versus weekly administration. Conclusion: Considerable variability in adherence rates across published studies reflects study heterogeneity and the absence of a 'gold standard' to measure adherence.

Ranking facilitators and barriers of medication adherence by patients with inflammatory arthritis: a maximum difference scaling exercise

Introduction

Facilitators and barriers of adherence to disease-modifying anti-rheumatic drugs (DMARDs) have been identified by patients with inflammatory arthritis earlier. However, the relative importance from the patients’ perspective of these factors is unknown. Knowledge on this ranking might guide the development of interventions and may facilitate targeted communication on adherence. This study aims to examine 1) the relative importance patients attach to facilitators and barriers for DMARDs adherence, and 2) the relationship between patient characteristics and ranking of these factors.

Methods

One hundred twenty-eight outpatients with inflammatory arthritis; (60% female, mean age 62 years (SD = 12), median disease duration 15 years, IQR (7, 23) participated in a Maximum Difference scaling exercise and ranked 35 items based upon previously identified facilitators and barriers to medication adherence. Hierarchical Bayes estimation was used to compute mean Rescaled Probability Scores (RPS; 0–100) (i.e. relative importance score). Kendall’s coefficient of concordance was used to examine a possible association between patients’ characteristics (i.e. age, sex and educational level) and ranking of the items.

Results

The three most important items ranked by patients were: Reduction of symptoms formulated as “Arthritis medications help to reduce my symptoms” (RPS = 7.30, CI 7.17–7.44), maintaining independence formulated as “I can maintain my independence as much as possible” (RPS = 6.76, CI 6.54–6.97) and Shared decision making formulated as “I can decide –together with my physician- about my arthritis medications” (RPS = 6.48, CI 6.24–6.72). No associations between patient characteristics and ranking of factors were found.

Conclusions

Reducing symptoms, maintaining independency and shared decision making are patients’ most important factors for DMARDs adherence. This knowledge might guide the development of interventions and may facilitate communication between health professionals and their patients on medication adherence.

Predicting treatment response to IL6R blockers in rheumatoid arthritis

Patients with severe, active RA who have not responded to conventional therapy may receive biological disease modifying anti-rheumatic drugs (bDMARDs). However, 40% of cases do not achieve complete disease control, resulting in a negative impact on patient quality of life and representing a waste of healthcare resources. Ongoing research seeks to establish biomarkers, which can be used to predict treatment response to biologics in RA to enable more targeted approaches to treatment. However, much of the work has focused on one class of biologic drug, the TNF inhibitors (TNFi). Here, we will review the current state of research to identify biomarkers predictive of response to the class of bDMARDs targeting the IL6R. While success has been limited thus far, serum drug and low ICAM1 levels have shown promise, with associations reported in independent studies. The challenges faced by researchers and lessons learned from studies of TNFi will be discussed.

Evaluation of Adherence and Persistence Differences Between Adalimumab Citrate-Free and Citrate Formulations for Patients with Immune-Mediated Diseases in the United States

INTRODUCTION

Our aim was to evaluate patient adherence and persistence with citrate-free adalimumab (ADA-CF), introduced in 2018 to reduce injection-site pain, compared with citrate-containing adalimumab (ADA-C).

METHODS

This was a retrospective cohort study using a US claims database (IBM^® MarketScan^® Commercial and Medicare Supplemental Claims Database) from February 2018 to January 2020. Patients at least 18 years of age who were naïve to adalimumab 6 months before the index date (date of first adalimumab claim) and with at least 12 months of continuous medical and pharmacy coverage were eligible for the study. Adherence was assessed by determining the proportion of days covered (PDC) and the percentage of patients with PDC ≥ 80% during the 12-month follow-up period. Persistence was evaluated by measuring the rate of discontinuation and days to discontinuation (i.e., time on treatment) from the index date over the 12-month follow-up period. Continuous adherence outcomes (PDC) were evaluated using linear regression models. Binary adherence outcomes (PDC ≥ 80%) were assessed using logistic regression models. Kaplan-Meier analysis and Cox proportional hazards models were used to assess persistence outcomes.

RESULTS

There were 2195 and 1005 patients in the ADA-CF and ADA-C cohorts, respectively, with most using adalimumab for rheumatoid arthritis (ADA-CF 29.7%, ADA-C 27.2%) and psoriasis (ADA-CF 24.5%, ADA-C 31.9%). Significantly greater adherence was achieved with ADA-CF compared with ADA-C (mean PDC [standard deviation] 0.68 [0.30] vs 0.61 [0.32], P < 0.0001). A significantly greater percentage of patients receiving ADA-CF (47.2%) vs ADA-C (39.6%) had PDC ≥ 80% (P < 0.0001). The discontinuation rate was significantly lower for the ADA-CF cohort (46.4%) compared with ADA-C (55.9%, P < 0.0001), resulting in a 27% lower likelihood of discontinuation during the 12-month follow-up period (hazard ratio 0.73; 95% confidence interval 0.66, 0.82; P < 0.0001) and longer time on treatment (260 vs 232 days, P < 0.0001).

CONCLUSION

Adherence and persistence are significantly improved with ADA-CF compared with ADA-C.

Development and Validation of Adherence Score for Subcutaneous Biologic Disease-Modifying Antirheumatic Drugs

Background: The biologic disease-modifying antirheumatic drugs (bDMARDs) are currently incorporated as part of the pharmacotherapy management of inflammatory arthritis (IA). Adherence to bDMARDs is crucial to ensure treatment success in IA. However, most of the recent studies evaluated adherence level in patients using subcutaneous injections of bDMARDs utilized the indirect methods adapted from adherence assessment for oral medication. Aim: This study aimed to develop a questionnaire to assess adherence to the self-injectable subcutaneous bDMARDs. Methods: The development of the Subcutaneous bDMARDs Adherence Score (SCADS) involved evaluation of content validity. Literature reviews provide the basis for domain identification and item formation. Four experts evaluated the instrument by using a four-point ordinal scale with a rubric scoring on relevance, importance, and clarity of each item in measuring the overarching construct. The item-level content validity index (I-CVI) and the scale-level content validity index (S-CVI) were calculated. The factor structure and internal consistency reliability of SCADS were estimated using principal component analysis (PCA) and Cronbach's alpha, respectively. Results: Both S-CVI/UA (universal agreement) and the average item-level content validity index (S-CVI/Ave) (average) for the entire instrument showed excellent criteria with a value of >0.90. Cronbach's alpha coefficient value for SCADS was 0.707 indicating good internal consistency. All items showed corrected item-total correlation coefficients above 0.244. Questionnaire items with a factor loading of 0.30 or above were considered in the final factor solution. The factor analysis resulted in 3-factor solutions, which corresponded to 66.62% of the total variance. Conclusion: The SCADS is a consistent and reliable instrument for evaluating adherence among IA patients using the subcutaneous bDMARDs. It is simple to use, yet comprehensive but still requiring further clinical and international validation.

Pharmacogenetics of TNF inhibitor response in rheumatoid arthritis utilizing the two-component disease activity score

Aim:

TNF inhibitor drugs are a treatment option for rheumatoid arthritis, but response is not universal. Response is typically measured using the composite 4-component (4C) disease activity score 28 (DAS28) which contains more subjective measures. This study used a validated 2-component (2C) DAS28 score to determine whether SNPs associated with response were replicated in the UK population.

Materials & methods:

A literature review identified TNF inhibitor response SNPs. Linear regression was conducted to replicate associations with 4C or 2C-DAS28 response.

Results:

Eighteen independent SNPs were analyzed in 1828 patients. One and four associations with 4C and 2C-DAS28 response respectively were identified (p ≤ 0.05).

Conclusion:

Further genetic associations were replicated using the 2C-DAS28 which may reflect the objective nature of 2C-AS28.

Predictive validity of the 5-item Compliance Questionnaire for Rheumatology (CQR5) in detecting poor adherence of patients with rheumatoid arthritis to biological medication

Background

Adherence is a key factor for therapeutic success in patients with rheumatoid arthritis (RA). The aim of this study was to determine whether results from the 5-item Compliance Questionnaire for Rheumatology (CQR5) can predict future poor adherence to biological disease-modifying anti-rheumatic drugs (bDMARDs) in patients with RA, using medication possession ratio (MPR) as the gold standard comparator.

Methods

RA patients starting a bDMARD were prospectively followed for 12 months. At baseline, CQR5 was collected in relation to the prescribed bDMARD. Patients were dichotomised into good adherers and poor adherers, categories that were then used as the variable in a predictive function analysis of the CQR5 in order to determine the accuracy of the classification at the end of the study period in comparison with the MPR. The sensitivity, specificity, and likelihood ratio of detecting poor adherers were also determined because this is the clinically important purpose of the questionnaire. Satisfactory adherence was defined as > 80% compliance with the prescribed dose regimen.

Results

Of the 210 RA patients enrolled (147 women and 63 men; mean age 58.6 ± 12.8 years; mean disease duration 7.4 ± 2.5 years), at the end of the 12-month follow-up, 152 patients (72.4%) were good adherers and 58 (27.6%) were poor adherers according to MPR. Predictive analyses showed that the sensitivity and specificity of the CQR5 in detecting poor adherence were respectively 89.9% (95% CI 84.07–94.10%) and 80.8% (95% CI 67.46–90.37%). The accuracy of the CQR5 was 83.04% (95% CI 77.27–87.85%), the positive likelihood ratio (i.e. detecting ≤ 80% adherence) 4.67 (95% CI 2.58–8.18), and the area under curve 0.85 (95% CI 0.79–0.89).

Conclusion

Higher baseline CQR5 scores significantly predict the treatment adherence of RA patients. This suggests that this instrument could be used for screening purposes in order to identify patients who are poorly adherent to bDMARDs.

Correlation of patient preferences to treatment outcomes in patients with rheumatoid arthritis treated with tumour necrosis factor inhibitors in Greece

OBJECTIVES

To investigate possible associations between rheumatoid arthritis (RA) patient-expressed preferences over anti-tumour necrosis factor (anti-TNF) treatment and clinical and patient-reported outcomes.

METHODS

PANORAMA was a non-interventional, prospective, multicentre, cohort study of 12 months duration, in patients with moderate-to-severe RA who initiated or switched to anti-TNF treatment. After initiation of anti-TNF, patients completed a preferences questionnaire on attributes related to anti-TNF treatment. Satisfaction with treatment was assessed with the Treatment Satisfaction Questionnaire for Medication (TSQM); compliance and persistence to treatment were recorded via a patient diary. Univariate and multivariate analyses were applied to assess correlations between patients' preferences over treatment with clinical and patient-reported outcomes.

RESULTS

A total of 254 patients were enrolled; 66.1% (168/254) had highly active disease (DAS28-ESR > 5.1), while 65.4% (166/254) were biological-naïve. The 12-month drug-survival rate was 72.3%, while the respective rates of good EULAR response and remission (DAS28-ESR < 2.6) were 56.5% and 40.8%, respectively. By univariate analysis, fulfilment of patient preferences over treatment was associated with increased probability of remaining on therapy (p = 0.019), good EULAR response (p < 0.001) and satisfaction with treatment (p < 0.001). By multivariate analysis, fulfilment of patient preferences was the most important predictor for good EULAR response (OR 5.56, p < 0.001; finding confirmed and after propensity scoring matching), while seropositivity (HR 1.18, p = 0.047) and a high ESR (> 35 mm/h, HR 1.16, p = 0.071) predicted drug survival.

CONCLUSIONS

In anti-TNF-treated RA patients, fulfilment of treatment preferences was independently associated with a good EULAR response and correlated with drug persistence at 12 months, emphasising the importance of patient preferences in treatment outcomes. Key Points • In anti-TNF treated RA patients, fulfilment of patients' treatment preferences is associated with a good clinical response at 12 months. • A shared decision-making process can maximise treatment's outcome in anti-TNF treated patients.

The predictors of and reasons for non-adherence in an observational cohort of patients with rheumatoid arthritis commencing methotrexate

OBJECTIVE

In order to develop interventions to optimize MTX use for the treatment of RA we evaluated the rate of, reasons for and predictors of MTX non-adherence during the first 6 months of therapy.

METHODS

The Rheumatoid Arthritis Medication Study (RAMS) is a prospective multicentre cohort study of incident MTX users in the UK. Prior to MTX commencement demographic, clinical and psychological data were collected. A weekly patient-completed diary recorded MTX dose, possible side effects and adherence over 26 weeks. The number of non-adherent weeks was calculated. Potential baseline predictors of ever non-adherence (⩾1 week non-adherent) during the first 6 months of MTX therapy were identified using logistic regression analyses.

RESULTS

606 patients with RA were included; 69% female, mean (s.d.) age 60 (13) years and DAS28 score 4.2 (1.2). Over the first 6 months following MTX initiation, 158 (26%) patients were ever non-adherent (71% intentional, 19% non-intentional, 10% unexplained) and mean (s.d.) number of non-adherent weeks was 2.5 (2.1). Multivariable predictors of ever non-adherence included DAS28 [odds ratios (OR) 1.1, 95% CI 1.0, 1.4], fatigue (OR 1.1, 95% CI 1.0, 1.2 per cm), ⩾2 comorbidities vs no comorbidities (OR 1.9, 95% CI 1.1, 3.5) and high medication concerns despite perceived need (OR 1.1, 95% CI 1.0, 1.1 per unit decrease in need/concern differential).

CONCLUSION

This is the largest study evaluating early intentional and non-intentional non-adherence to MTX, which has identified that patient beliefs and multi-morbidity strongly link with non-adherence. These findings can direct the design of and provide potential targets for interventions to improve patient adherence.

A multicenter, open-label study to evaluate the safe and effective use of a new electromechanical auto-injection device for self-injection of certolizumab pegol

BACKGROUND

ava® is a new reusable electromechanical auto-injector (e-Device) with disposable, single-use certolizumab pegol (CZP) dispensing cartridges.

METHODS

RA0098 (NCT03357471) was a US, multicenter, open-label, phase 3 study designed to assess whether the e-Device can be used safely and effectively by self-injecting patients. CZP pre-filled syringe (PFS) self-injecting patients (≥18 years) diagnosed with rheumatoid arthritis, axial spondyloarthritis, psoriatic arthritis, plaque psoriasis, and Crohn's disease received training and self-injected CZP using the e-Device at 2 visits. The primary outcome was the proportion of patients able to self-inject safely and effectively at Visit 2, defined as: 1) complete dose delivery, and 2) no adverse events related to the e-Device precluding its continued use.

RESULTS

65/67 patients (97.0%) completed the study, 64/65 (98.5%) performed safe and effective self-injection at Visit 2, and 67/67 (100%) performed safe and effective self-injection at Visit 1. Patient satisfaction and self-confidence increased over the two visits. Overall, patients reported a preference for the e-Device (58/65; 89.2%) compared to a PFS (4/65; 6.2%).

CONCLUSIONS

Patients were able to safely and effectively self-inject CZP using the e-Device and most preferred ava® over a PFS. No safety-related findings impacting the benefit-risk ratio of CZP were identified.

Adherence to subcutaneous anti-TNFα agents in patients with rheumatoid arthritis is largely influenced by pain and skin sensations at the injection site

AIM

The aims of this prospective study were to determine the dimension of adherence in rheumatoid arthritis (RA) patients receiving subcutaneously administered anti-tumor necrosis factor-α (anti-TNFα) agents and to evaluate the influence of injection site pain and skin perceptions following subcutaneous administration of anti-TNFα drugs on patients' adherence.

METHOD

An inception cohort of patients starting subcutaneously administered anti-TNFα treatment was enrolled. Injection site pain perception was assessed through the Self-Injection Assessment Pain Questionnaire (SIAPQ), and adherence to treatment was ascertained by the Compliance Questionnaire for Rheumatology (CQR5). Associations between beliefs and non-adherence, and the influence of demographic (age, disease duration, educational level), clinical (body mass index, patient global assessment, physician global assessment, Numerical Rating Scale of pain, Health Assessment Questionnaire-Disability Index, Simplified Disease Activity Index, and comorbidities measured by the modified Rheumatic Disease Comorbidty Index), and radiographic (Simple Erosion Narrowing Score) variables were assessed using logistic regression models.

RESULTS

Adherence data over a 12-month interval were available for 193 patients. Of these, 21.7% reported non-adherence to anti-TNFα therapy. No difference (P = .383) was found for anti-TNFα drugs (adalimumab, etanercept, certolizumab pegol and golimumab). In the logistic model, age (P = .0029), higher disease activity (P = .020), low numbers of comorbidity conditions (P = .0004), injection site pain and skin perception (P = .0008), were significantly associated with increased likelihood of medication adherence.

CONCLUSION

Adherence is influenced by both demographic characteristics (age) and clinical factors (disease activity, comorbidity burden and injection site pain and skin perception) in RA patients.

Adding value to real-world data: the role of biomarkers

Adding biomarker information to real world datasets (e.g. biomarker data collected into disease/drug registries) can enhance mechanistic understanding of intra-patient differences in disease trajectories and differences in important clinical outcomes. Biomarkers can detect pathologies present early in disease potentially paving the way for preventative intervention strategies, which may help patients to avoid disability, poor treatment outcome, disease sequelae and premature mortality. However, adding biomarker data to real world datasets comes with a number of important challenges including sample collection and storage, study design and data analysis and interpretation. In this narrative review we will consider the benefits and challenges of adding biomarker data to real world datasets and discuss how biomarker data have added to our understanding of complex diseases, focusing on rheumatoid arthritis.

Adherence to Subcutaneous Anti-TNF Treatment in Chronic Inflammatory Rheumatism and Therapeutic Patient Education

OBJECTIVE

Poor patient adherence to anti-TNF treatment has proven to be a major roadblock to effective management. Therapeutic patient education (TPE) is now recognized as a crucial tool in managing conditions like chronic inflammatory rheumatism and in improving treatment adherence. This study aimed to assess whether different TPE programs might improve adherence to subcutaneous anti-tumor necrosis factor (anti-TNF) treatment in patients with rheumatoid arthritis (RA), ankylosing spondyloarthritis (AS), and psoriatic arthritis (PsA).

METHODS

This was a retrospective, observational, monocentric study of current care practices. We included 193 patients (124 women; mean age 53.3 ± 14.8 years). All patients received subcutaneous anti-TNF treatment and one of three TPE models, delivered by a nurse, from 2009 to 2013. The cohort was grouped according to different educational models: M1: information (N=92); M2: individual TPE (N=80); and M3: individual and group TPE sessions (N=21). Adherence was assessed with the Morisky Medication Adherence Scale (MMAS-4™). Scores were rated as follows: good adherence (MMAS-4 = 4), moderate adherence (MMAS-4 = 2-3), and poor adherence (MMAS-4 = 0-1).

RESULTS

The mean disease duration was 10 years [95% CI: 5 to 18]. The cohort comprised 113 patients with RA, 73 with AS, and seven with PsA. Overall, 146 (75.7%) patients displayed good adherence, 34 (17.6%) displayed moderate adherence, and 13 (6.7%) displayed poor adherence. The M3 group displayed less adherence than the M1 and M2 groups. Old age was the only factor correlated with good adherence (p=0.005). The level of knowledge had no significant impact on adherence.

CONCLUSION

This study demonstrated good adherence to anti-TNF treatment in patients that received TPE, particularly when it was delivered in individual sessions.

Machine Learning to Predict Anti-Tumor Necrosis Factor Drug Responses of Rheumatoid Arthritis Patients by Integrating Clinical and Genetic Markers

OBJECTIVE

Accurate prediction of treatment responses in rheumatoid arthritis (RA) patients can provide valuable information on effective drug selection. Anti-tumor necrosis factor (anti-TNF) drugs are an important second-line treatment after methotrexate, the classic first-line treatment for RA. However, patient heterogeneity hinders identification of predictive biomarkers and accurate modeling of anti-TNF drug responses. This study was undertaken to investigate the usefulness of machine learning to assist in developing predictive models for treatment response.

METHODS

Using data on patient demographics, baseline disease assessment, treatment, and single-nucleotide polymorphism (SNP) array from the Dialogue on Reverse Engineering Assessment and Methods (DREAM): Rheumatoid Arthritis Responder Challenge, we created a Gaussian process regression model to predict changes in the Disease Activity Score in 28 joints (DAS28) for the patients and to classify them into either the responder or the nonresponder group. This model was developed and cross-validated using data from 1,892 RA patients. It was evaluated using an independent data set from 680 patients. We examined the effectiveness of the similarity modeling and the contribution of individual features.

RESULTS

In the cross-validation tests, our method predicted changes in DAS28 (ΔDAS28), with a correlation coefficient of 0.405. It correctly classified responses from 78% of patients. In the independent test, this method achieved a Pearson's correlation coefficient of 0.393 in predicting ΔDAS28. Gaussian process regression effectively remapped the feature space and identified subpopulations that do not respond well to anti-TNF treatments. Genetic SNP biomarkers showed small contributions in the prediction when added to the clinical models. This was the best-performing model in the DREAM Challenge.

CONCLUSION

The model described here shows promise in guiding treatment decisions in clinical practice, based primarily on clinical profiles with additional genetic information.

Translational genomics and precision medicine: Moving from the lab to the clinic

Translational genomics aims to improve human health by building on discoveries made through genetics research and applying them in the clinical setting. This progress has been made possible by technological advances in genomics and analytics and by the digital revolution. Such advances should enable the development of prognostic markers, tailored interventions, and the design of prophylactic preventive approaches. We are at the cusp of predicting disease risk for some disorders by means of polygenic risk scores integrated with classical epidemiological risk factors. This should lead to better risk stratification and clinical decision-making. A deeper understanding of the link between genome-wide sequence and association with well-characterized phenotypes will empower the development of biomarkers to aid diagnosis, inform disease progression trajectories, and allow better targeting of treatments to those patients most likely to respond.

A portfolio of biologic self-injection devices in rheumatology: how patient involvement in device design can improve treatment experience

Biologic drugs (e.g. anti-tumor necrosis factors) are effective treatments for multiple chronic inflammatory diseases including rheumatoid arthritis, axial spondyloarthritis, and psoriatic arthritis. Administration of biologic drugs is usually via subcutaneous self-injection, which provides many patient benefits compared to infusions including increased flexibility, reduced costs, and reduced caregiver burden. However, it is also associated with challenges such as needle phobia, patient treatment misconceptions and incorrect drug administration, and can be impacted by dexterity problems. Evidence suggests these problems, along with other drug administration challenges (e.g. patient forgetfulness, busy lifestyles, and polypharmacy), can reduce patient adherence to treatment. To combat these challenges, patient feedback has been used to develop a range of self-injection devices, including pre-filled syringes, pre-filled pens, and electronic injection devices. Providing different devices for drug administration gives patients the opportunity to choose a device that addresses the challenges they face as an individual. Research suggests involving patients in medical device development, providing patients with a choice of devices and enrolling individuals in patient support programs can empower patients to take control of their treatment journey. By providing a portfolio of self-injection devices, designed based on patient needs, patient experience will improve, potentially improving adherence and hence, long-term treatment outcomes.

Patient Support Program Increased Medication Adherence with Lower Total Health Care Costs Despite Increased Drug Spending

BACKGROUND

The U.S. health care system is currently evolving from a volume-based care to a value-based care approach, which is in part supported by the introduction of patient support programs (PSP). For patients treated with adalimumab (ADA), the addition of a dedicated, trained nurse to the PSP (HUMIRA Complete, rolled out nationally in 2015) provides further emphasis on value-based care.

OBJECTIVE

To determine the effectiveness of the HUMIRA Complete PSP, including the Nurse Ambassador component, in a real-world setting for patients receiving ADA across a broad range of approved indications (rheumatoid arthritis, Crohn's disease, ulcerative colitis, psoriasis, psoriatic arthritis, ankylosing spondylitis, uveitis, and hidradenitis suppurativa).

METHODS

A longitudinal retrospective study was conducted using patient-level data from the HUMIRA Complete PSP data linked to the real-world, patient-level Symphony Health Solutions administrative claims database. Commercially insured patients were included who were aged ≥ 18 years with ≥ 2 diagnoses of an indicated disease who were biologically naive before initiating ADA or who had no claims for synthetic-targeted immune modulator therapy before their earliest ADA claim in the database between January 2015 and February 2017. The first claim had to have occurred in 2015 or later, and continuous medical and drug data coverage were required for ≥ 6 months before and ≥ 12 months after the first ADA claim and index date. PSP patients (with at least an initial and follow-up dedicated nurse call) were matched 1:1 to non-PSP patients based on pharmacy type, indication, and propensity score, estimated with covariates for age, sex, year of first ADA use, and baseline comorbidities. Adherence to ADA was compared using proportion of days covered along with discontinuation of ADA, defined as a gap in treatment greater than the previous days supply with no additional ADA claim, total costs, medical costs, and drug costs (2017 U.S. dollars) over 12 months. Baseline demographic and clinical characteristics were summarized descriptively. Differences between cohorts were assessed using t-tests for adherence and costs and log-rank tests for discontinuation.

RESULTS

2,268 patients (1,134 per group) were included. Baseline characteristics were similar between cohorts after matching. Participation in the PSP was associated with 29.3% higher ADA adherence (64.8% vs. 50.1%; P < 0.0001) and 22.0% lower ADA discontinuation rate (51.4% vs. 65.9%; P < 0.0001). Disease-related medical costs and all-cause medical costs were significantly lower by 35% ($10,162 vs. $15,511; P = 0.005) and 29.2% ($25,074 vs. $35,419; P = 0.0004), respectively, for PSP versus non-PSP patients. Total costs were also lower by 9% ($62,421 vs. $68,706; P = 0.056), and drug costs were 12.2% higher ($37,347 vs. $33,287; P = 0.0016).

CONCLUSIONS

This retrospective study demonstrates that participation in the PSP augments value-based care by improving outcomes for patients with chronic diseases by helping them not only manage a complex treatment regimen but also lower annual health care costs.

DISCLOSURES

Design, study conduct, and financial support for this study were provided by AbbVie. AbbVie participated in the interpretation of data, review, and approval of the manuscript; all authors contributed to the development of the publication and maintained control over the final content. Brixner reports consulting fees from AbbVie, AstraZeneca, Becton Dickinson, Millcreek Outcomes Group, Sanofi, and UCB Pharma. Rubin reports consulting fees from AbbVie, Abgenomics, Allergan, Forward Pharma, Genentech/Roche, Janssen Pharmaceuticals, Merck & Co., Napo Pharmaceuticals, Pfizer, Shire, Takeda, and Target Pharmaceuticals and research support from AbbVie, Genentech/Roche, Janssen Pharmaceuticals, Prometheus Laboratories, Shire, and Takeda. Mease reports grant/research support from AbbVie, Amgen, BMS, Celgene, Genentech, Janssen, Lilly, Merck, Novartis, Pfizer, SUN Pharma, and UCB; consulting fees from AbbVie, Amgen, BMS, Celgene, Genentech, Janssen, Lilly, Merck, Novartis, Pfizer, SUN Pharma, and UCB; and served on the speakers bureaus for AbbVie, Amgen, BMS, Celgene, Genentech, Janssen, Lilly, Merck, Novartis, Pfizer, Roche, and UCB. Mittal and Ganguli are employees and stockholders of AbbVie. Liu has no financial conflict of interest. Davis is an employee of Medicus Economics, which reports payment from AbbVie to participate in this research. Fendrick reports personal fees from Merck, AstraZeneca, Trizetto, Amgen, Lilly, AbbVie, Johnson & Johnson, and Sanofi; grants from the National Pharmaceutical Council, PhRMA, the Gary and Mary West Health Foundation, the states of New York and Michigan, the Laura and John Arnold Foundation, the Robert Wood Johnson Foundation, and the Agency for Healthcare Research and Quality; and has equity in Zansors, Sempre Health, Wellth, and V-BID Health. Data from this study were presented in part at the Academy of Managed Care & Specialty Pharmacy Annual Meeting; April 25, 2018; Boston, MA.

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

BACKGROUND

Individuals with rheumatoid arthritis (RA) are at high risk for depression because of the overall burden of systemic inflammation. Although some evidence suggests that treatment with powerful anti-inflammatory drugs, such as tumor necrosis factor (TNF) inhibitors, may be effective in reducing the risk for depression in patients with RA, it is unclear whether such reduction in risk is dependent on the response to TNF inhibitor therapy.

OBJECTIVE

To evaluate the association between the response to TNF inhibitor therapy and the risk for depression among working-age adults with RA.

METHOD

This retrospective, observational cohort study design was based on data derived from commercial claims data in the QuintilesIMS Real World Data Adjudicated Claims database between October 1, 2009, and September 30, 2015. A total of 4222 working-age adults (18-62 years) with RA who started treatment with TNF inhibitor therapy and were continuously enrolled during the 3 observation periods (ie, 1-year baseline, 1-year treatment, and 1-year follow-up periods) were included in the study. Treatment response to a TNF inhibitor was measured using prescription drug claims based on a published validated algorithm. Multivariable logistic regression was used to examine the association between treatment response to TNF inhibitor therapy and the risk for depression, after controlling for baseline demographic characteristics, clinical characteristics, and RA-related medication use. An inverse probability of treatment weighting technique was used to control for observable differences in TNF inhibitor responders' characteristics versus TNF inhibitor nonresponders.

RESULTS

Overall, 359 (8.5%) patients with RA had depression during the follow-up period and 1679 (39.8%) patients responded to TNF inhibitor treatment during the 1-year treatment period. A significantly lower percentage of TNF inhibitor responders (7.1%, N = 119) had depression than TNF inhibitor nonresponders (9.4%, N = 239). After controlling for other risk factors, responders to TNF inhibitors were 20% less likely to have depression during the follow-up period (adjusted odds ratio, 0.80; 95% confidence interval, 0.64-0.98) than nonresponders to TNF inhibitor therapy.

CONCLUSION

The risk for depression was significantly reduced among patients with RA who responded to TNF inhibitor therapy compared with those who did not respond to such therapy. To determine whether the lower rate of depression observed with TNF inhibition is a direct effect of treatment with a TNF inhibitor, or whether it could be attributed to improvement in RA disease secondary to treatment, future studies need to also incorporate a control population of patients with RA who receive other antirheumatic regimens, such as disease-modifying antirheumatic drugs.

Predicting adherence to therapy in rheumatoid arthritis, psoriatic arthritis or ankylosing spondylitis: a large cross-sectional study

Objective

This analysis explored the association of treatment adherence with beliefs about medication, patient demographic and disease characteristics and medication types in rheumatoid arthritis (RA), psoriatic arthritis (PsA) or ankylosing spondylitis (AS) to develop adherence prediction models.

Methods

The population was a subset from ALIGN, a multicountry, cross-sectional, self-administered survey study in adult patients (n=7328) with six immune-mediated inflammatory diseases who were routinely receiving systemic therapy. Instruments included Beliefs about Medicines Questionnaire (BMQ) and 4-item Morisky Medication Adherence Scale (MMAS-4^©), which was used to define adherence.

Results

A total of 3390 rheumatological patients were analysed (RA, n=1943; PsA, n=635; AS, n=812). Based on the strongest significant associations, the adherence prediction models included type of treatment, age, race (RA and AS) or disease duration (PsA) and medication beliefs (RA and PsA, BMQ-General Harm score; AS, BMQ-Specific Concerns score). The models had cross-validated areas under the receiver operating characteristic curve of 0.637 (RA), 0.641 (PsA) and 0.724 (AS). Predicted probabilities of full adherence (MMAS-4^©=4) ranged from 5% to 96%. Adherence was highest for tumour necrosis factor inhibitors versus other treatments, older patients and those with low treatment harm beliefs or concerns. Adherence was higher in white patients with RA and AS and in patients with PsA with duration of disease <9 years.

Conclusions

For the first time, simple medication adherence prediction models for patients with RA, PsA and AS are available, which may help identify patients at high risk of non-adherence to systemic therapies.

Trial registration number

ACTRN12612000977875.