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

Adherence with mycophenolate mofetil in patients with autoimmune inflammatory rheumatic diseases in coventry: Signs of progress but challenges remain

OBJECTIVE

The study investigated adherence with MMF treatment among patients attending rheumatology clinics at University Hospitals Coventry and Warwickshire NHS Trust (UHCW) with Autoimmune inflammatory rheumatic diseases (AIIRDs).

METHODS

This retrospective study collated hospital pharmacy data in patients who requested the prescription for MMF between January 2015 and December 2018. Clinical data were obtained from paper and electronic notes. Data were analysed using Microsoft Excel. Ethical approval was obtained through Coventry University.

RESULTS

We recruited 144 patients into this study with age range from 18 to 91 years, including 100 females and 44 males. There were 112 White patients, 22 of South Asian origin, 3 East Asian and 4 black patients. SLE (56), scleroderma (18), mixed connective tissue disease (15), myositis (13), vasculitis (13) were the commonest diagnoses. Overall adherence with Mycophenolate mofetil was 62%. The adherence rates were below 80% for all age groups with ∼60% of patients having adherence levels of >60%. Poor adherence with MMF correlated with 3-fold increase in risk of flares compared to good adherence (p = 0.002). We also found a significant difference between Asian patients (mean adherence 47%) and White patients (mean adherence 65%, p < 0.001).

CONCLUSION

Adherence with MMF has improved considerably compared to historical studies, although these remain suboptimal. Certain population groups such as young adults, elderly and Asian patients continue to have lower adherence and higher risk of flares. Strategies are needed to improve adherence levels overall and specifically in the high-risk groups to reduce risk of flares and organ damage.

An Overview on Causes of Nonadherence in the Treatment of Rheumatoid Arthritis: Its Effect on Mortality and Ways to Improve Adherence

Rheumatoid arthritis is one of the most prevalent musculoskeletal disorders that, when insufficiently treated, results in detrimental sequelae including joint damage and reduced quality of life. Poor patient adherence to medication is a significant blockade to effective management. The purpose of this review is to highlight and discuss the factors responsible for defiance of antirheumatic medication and ways to overcome these barriers. Education level, health literacy, cohabitation status, multi-morbidities, complicated drug regimen, intermittent co-payments, prescribed regimen adverse effects, and cognitive impairment are a few among many common barrier factors leading to poorer outcomes in rheumatoid arthritis. While there is an abundance of inhibitory factors leading to worsening disease progression, they each can be easily dealt with an effective approach at the beginning or during the treatment course to ensure a better outcome.

Association of Arthritis and Antihypertensive Medication Use Among Individuals With Hypertension: A Cross-Sectional Analysis of the 2017 Behavioral Risk Factor Surveillance System

BACKGROUND

The aim of this study was to assess whether arthritis is associated with lower antihypertensive medication (AHM) use among those with hypertension and whether this relationship differs by age or cardiovascular (CV) comorbidity.

METHODS

The data were from the 2017 Behavioral Risk Factor Surveillance System. We employed survey weights to account for the complex sampling design and nonresponse bias. We used generalized linear models to estimate unadjusted and adjusted prevalence ratios (PRs) and 95% confidence intervals comparing AHM use among those with severe or mild arthritis to those without arthritis, stratified by age, sex, and CV comorbidity.

RESULTS

Among 173,098 adults with hypertension, 26.0% had severe arthritis and 22.3% had mild arthritis. Compared with those without arthritis, individuals with mild or severe arthritis were older, predominantly female, with lower income and more comorbidities. After adjustment for sex, race, inability to afford medications, and CV comorbidity, the prevalence ratios for AHM use were stronger for younger versus older age groups. Associations did not differ significantly by sex or CV comorbidity. Associations were similar for mild and severe arthritis, compared with no arthritis.

CONCLUSIONS

Among individuals with hypertension, those with arthritis had significantly higher prevalences of AHM use compared with those without arthritis. Higher prevalences of AHM use were seen with older age categories, although a stronger association of arthritis and AHM use was found in younger age groups. Future studies on hypertension management in arthritis should examine these relationships more closely.

Patient-Reported Nausea and Fatigue Related to Methotrexate: A Prospective, Self-Controlled Study in the ArthritisPower® Registry

Introduction

The magnitude and frequency of temporally related methotrexate (MTX)-associated side effects in rheumatoid arthritis (RA) or psoriatic arthritis (PsA) patients are difficult to quantify using traditional research methods. As proof of concept designed in part to implement digital data collection for remote patient monitoring, we conducted a study implementing self-controlled case series analytic methods to understand MTX-related symptoms in RA or PsA.

Methods

In study phase 1, adults with RA or PsA from the ArthritisPower^® Registry (past or current oral MTX users) participated in a cross-sectional survey. In phase 2, current MTX users participated in a longitudinal study and completed the Patient-Reported Outcomes Measurement Information System (PROMIS^®) 1-day nausea/vomiting and fatigue measure. Within-person change in PROMIS scores between risk (6–36 h post-dose) and control (96–144 h post-dose) windows were compared using mixed models.

Results

The baseline survey was completed by 671 participants (mean age: 54 years, 88% female, 92% white, 79% with RA). Among current MTX users (353/671 [53%]), most reported MTX-associated side effects (216/353 [61%]), most frequently fatigue (161/353 [46%]). Among phase 2 participants with (n = 39) and without (n = 84) baseline nausea, mean increase in PROMIS nausea was 5.1 units (P < 0.0001) and 0.7 units (P = 0.135), respectively; among those with (n = 51) and without (n = 72) baseline fatigue, mean increase in PROMIS fatigue was 3.9 units (P = 0.0003) and 0.4 units (P = 0.554), respectively.

Conclusions

Digital remote patient monitoring presents an opportunity to detect and address medication tolerability in real time. Using a novel study design to control for between-person confounding, the magnitude of nausea and fatigue experienced by participants with RA and PsA temporally related to weekly MTX use was substantial.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40744-021-00398-6.

Evaluation of a medication optimization intervention and predictors of medication adherence, patient satisfaction and medication adverse events in patients with rheumatoid arthritis

BACKGROUND

Because effective treatment for rheumatoid arthritis (RA) is dependent on medication use, medication optimization is critically important. Medication adherence, patient satisfaction with care and medication adverse events are core concepts of medication optimization that are either a significant problem and/or understudied in patients with RA.

OBJECTIVE

To (1) evaluate treatment effects from a medication optimization intervention; (2) assess treatment differences and changes over time in medication adherence, patient satisfaction, and medication adverse events; and (3) to determine whether age, gender, provider trust, and disease activity affect these outcomes.

METHODS

We conducted a prospective, longitudinal intervention study (N = 143 RA patients) using repeated measures models.

RESULTS

We did not identify significant intervention effects. For both the medication adherence and patient satisfaction models, the significant predictors in the model included age, gender and trust in provider. Older age, female gender (relative to male), and greater trust in the provider were associated with increased medication adherence scores and patient satisfaction. For the adverse events model, the only significant predictor in the model was gender. Compared with males, females were more likely to report experiencing adverse events. Time was significantly associated with decreased experiences of adverse events.

CONCLUSION

This study has identified important predictors of medication adherence, patient satisfaction and medication adverse events in a sample of patients with RA which can facilitate targeted approaches to improve adherence in those high-risk groups.

Treatment patterns in rheumatoid arthritis patients newly initiated on biologic and conventional synthetic disease-modifying antirheumatic drug therapy and enrolled in a North American clinical registry

Background

Understanding the evolving treatment patterns in patients with rheumatoid arthritis (RA) is important for rheumatologists to make the best practice decisions and optimize treatment. Here, we describe treatment patterns among patients newly initiated on biologic and/or nonbiologic RA therapy over time after enrollment in the US Corrona RA registry.

Methods

This was a retrospective, cohort study of adult patients with RA enrolled in the Corrona RA registry. Patients were included in this study if they initiated therapy with conventional synthetic disease-modifying antirheumatic drug (csDMARD) monotherapy, TNF inhibitor (TNFi) monotherapy, other (non-TNFi) biologic monotherapy, or combination therapy (index therapy); initiated therapy between January 1, 2004, and December 31, 2015 (index date), after enrollment in the Corrona RA registry; had at least 6 months of follow-up time after the index date; and had at least one follow-up visit. Time periods of interest were based on the year of index therapy initiation: 2004–2007, 2008–2011, and 2012–2015.

Results

This study included 8027 patients. csDMARD monotherapy and TNFi + csDMARD combination therapy were the most common index therapies in the registry (39.9% and 44.9%, respectively, in the 2004–2007 period; 38.6% and 38.2%, respectively, in the 2008–2011 period; and 35.2% for both in the 2012–2015 period). At therapy initiation, a higher proportion of patients who initiated other biologics, whether as monotherapies (54.0%) or in combination with csDMARD (49.9%), had high disease activity than those who initiated csDMARD monotherapy (28.4%). For 2012–2015 vs 2004–2007 and 2008–2011 periods, persistence on a given therapy appeared to decrease for the TNFi monotherapy cohort (48.2% vs 64.3% and 52.4%) and other biologic monotherapy cohort (52.3% vs 71.4% and 54.5%) over 12 months; switching from one therapy to another was common in the Corrona RA registry.

Conclusions

Increased switching from one therapy to another and decreased time on a given therapy was observed in the Corrona RA registry in the 2012–2015 period. This observation is most likely due to the increased availability of additional treatment options and/or the change in clinical focus, particularly the emphasis on achievement of treat-to-target goals of remission or low disease activity along with more aggressive treatment.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13075-021-02599-4.

Prevalence and predictors of adverse events with methotrexate mono- and combination-therapy for rheumatoid arthritis: a systematic review

OBJECTIVES

This systematic review aims to summarize rates of adverse events (AEs) in patients with RA or inflammatory arthritis starting MTX as monotherapy or in combination with other csDMARDs, and to identify reported predictors of AEs.

METHODS

Three databases were searched for studies reporting AEs in MTX-naïve patients with RA. Randomized controlled trials (RCTs) and observational cohort studies were included. Prevalence rates of AEs were pooled using random effects meta-analysis, stratified by study design.

RESULTS

Forty-six articles (34 RCTs and 12 observational studies) were identified. The pooled prevalence of total AEs was 80.1% in RCTs (95% CI: 73.5, 85.9), compared with 23.1% in observational studies (95% CI: 12.3, 36.0). The pooled prevalence of serious AEs was 9.5% in RCTs (95% CI: 7.4, 11.7), and 2.1% in observational studies (95% CI: 1.0, 3.4). MTX discontinuation due to AEs was higher in observational studies (15.5%, 95% CI: 9.6, 22.3) compared with RCTs (6.7%, 95% CI: 4.7, 8.9). Gastrointestinal events were the most commonly reported AEs (pooled prevalence: 32.7%, 95% CI: 18.5, 48.7). Five studies examined predictors of AEs. RF status, BMI and HAQ score were associated with MTX discontinuation due to AEs; ACPA negativity, smoking and elevated creatinine were associated with increased risk of elevated liver enzymes.

CONCLUSION

The review provides an up-to-date overview of the prevalence of AEs associated with MTX in patients with RA. The findings should be communicated to patients to help them make informed choices prior to commencing MTX.

Fatigue in Systemic Lupus Erythematosus and Rheumatoid Arthritis: A Comparison of Mechanisms, Measures and Management

Fatigue is a common constitutional feature of systemic lupus erythematosus (SLE) and rheumatoid arthritis (RA). While the two diseases share a common mechanism of autoimmunity, they differ in their clinical manifestations and treatment. Fatigue is one of the most commonly reported symptoms in both groups, associated with pain, depression and anxiety, and affecting function, work and quality of life. Fatigue is not easy to assess or conceptualise. It can be linked to disease activity, although it is not always, and is challenging to treat. Several measures have been trialled in RA and SLE; however, none have been adopted into mainstream practice. Despite being a common symptom, fatigue remains poorly managed in both RA and SLE—more so in the latter, where there have been relatively fewer studies. Additionally, comorbidities contribute to fatigue, further complicating its management. Pain, depression and anxiety also need to be addressed, not as separate entities, but together with fatigue in a holistic manner. Here, we describe the similarities and differences between fatigue in patients with RA and SLE, discuss concepts and practices applicable to both conditions and identify areas for further research. Through this review, we aim to highlight the importance of the holistic management of fatigue in SLE.

Changes in the illness perceptions of patients with rheumatoid arthritis over the first year of methotrexate therapy

Objectives

To describe the illness perceptions of patients with RA over the first year of MTX treatment, and the association between illness perceptions and outcomes.

Methods

Data came from the Rheumatoid Arthritis Medication Study (RAMS), a UK multicentre cohort study of RA patients starting MTX for the first time. Patients were assessed at baseline, and at 6 and 12 months. Patients completed the Brief Illness Perception Questionnaire (B-IPQ) at each assessment, as well as other patient-reported outcomes (PROs). The inflammation score (2-component DAS28) was calculated. Subgroups of patients with similar trajectories across the eight (B-IPQ) items were identified using a latent class growth model. Predictors of group membership were identified using multinomial logistic regression. Associations between subgroups and PROs over follow-up were assessed using linear mixed models.

Results

Three subgroups were identified in the analysis population (N = 1087): Positive illness perceptions (N = 322), Negative illness perceptions (N = 534) and Improvers (N = 231) who switched from negative to positive illness perceptions over follow-up. Baseline disability was associated with group membership [Positive vs Negative: relative risk ratio (RRR) 0.37, 95% CI: 0.25, 0.54; Improvers vs Negative: RRR 0.60, 95% CI: 0.43, 0.83], as were other PROs (pain, fatigue, anxiety, depression). The Negative group had worse disability, pain and fatigue over follow-up compared with the other groups, controlling for inflammation.

Conclusion

Negative illness perceptions are associated with poor PROs over time. The Improvers subgroup illustrated that illness perceptions can change in RA. Illness perceptions represent a potential therapeutic target that should be assessed using randomized trials.

Fatigue assessment by FACIT-F scale in Pakistani cohort with Rheumatoid Arthritis (FAF-RA) study

Objective:

To fine out fatigue frequency and severity by FACIT-F scale in Pakistani cohort with rheumatoid arthritis.

Methods:

This study was conducted at department of Medicine division of rheumatology CPMC Lahore. After the approval of IRB, 192 patients of RA were recruited. Written, informed consent was taken, demographic details were noted, patients filled the URDU version of FACIT-F (fatigue severity scale). 5-ml of blood was taken for fasting blood sugar, viral markers and ESR by a trained phlebotomist. Each individual’s disease activity was assessed by DAS-28 and FACIT-F score was calculated.

Results:

The Mean age (39.9±10.5) years, (71.9%) were females. Fatigue frequency was 62% (n=126), age, education, hypertension, DAS-28, exercise levels and HCV gives significant association with fatigue score. Linear regression analysis, results showed one unit increase in DAS-28 will gives 2.71 unit increases in fatigue scores(P <0.05).

Conclusions:

We have very high frequency of fatigue in RA, increases with disease activity & associated conditions.

Management of Fatigue in Rheumatoid Arthritis

Fatigue in rheumatoid arthritis is highly prevalent. It is correlated only weakly with disease activity but more so with pain, mood, personality features, poor sleep, obesity and comorbidities. Fatigue can be measured by many standardised questionnaires and more easily with a Visual Analogue Scale or numeric rating scale. Most patients with RA have some fatigue, and at least one in six have severe fatigue. Chronic pain and depressed mood are also common in RA patients with significant fatigue. It affects function and quality of life and is worse on average in women. Evidence-based treatment for fatigue includes treatment of underlying disease activity (with on average modest improvement of fatigue), exercise programmes and supervised self-management programmes with cognitive-behavioural therapy, mindfulness and reinforcement (such as reminders). The specific programmes for exercise and behavioural interventions are not standardised. Some medications cause fatigue such as methotrexate. More research is needed to understand fatigue and how to treat this common complex symptom in RA that can be the worst symptom for some patients.

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.

Infection risk in sarcoidosis patients treated with methotrexate compared to azathioprine: A retrospective 'target trial' emulated with Swedish real-world data

The 6‐month infection risk was 43% lower in patients with sarcoidosis who initiated methotrexate compared to those who started azathioprine. Our findings suggest that unless contraindications exist, methotrexate should be preferred over azathioprine as the primary steroid‐sparing choice in individuals with sarcoidosis.

Background and objective

No clinical trial has examined the risk of infection associated methotrexate and azathioprine, two advocated treatments for sarcoidosis. We aimed to compare the 6‐month risk of infection after the initiation of methotrexate or azathioprine.

Methods

We conducted a retrospective target trial emulation using Swedish pre‐existing data. We searched for eligible participants who were dispensed methotrexate or azathioprine in the Prescribed Drug Register (PDR) every day between January 2007 and June 2013. Adults were eligible if they had ≥2 ICD‐coded visits for sarcoidosis in the National Patient Register (NPR) and were dispensed ≥1 systemic corticosteroid but no methotrexate or azathioprine in the past 6 months (PDR). Within 6 months of methotrexate or azathioprine initiation, diagnosis of infectious disease was identified (visit in the NPR where infectious disease was the primary diagnosis). We estimated RR and risk differences comparing methotrexate (n = 667) to azathioprine initiations (n = 259) using targeted maximum likelihood estimation (TMLE) adjusting for demographic factors, comorbidity and sarcoidosis severity proxies.

Results

There were 43 infections in the methotrexate group (adjusted 6‐month risk 6.8%) and 29 infections in the azathioprine group (12.0%). The RR for infectious disease at 6 months associated with methotrexate compared to azathioprine initiation was 0.57 (95% CI: 0.39, 0.82) and the risk difference was −5.2% (95% CI: −8.5%, −1.8%). The RR at 9 months was attenuated to 0.77 (95% CI: 0.52, 1.14).

Conclusion

Methotrexate appears to be associated with a lower risk of infection in sarcoidosis than azathioprine, but randomized trials should confirm this finding.

Different Associations of Intentional and Non-Intentional Non-Adherence Behaviors with Patient Experience with Healthcare and Patient Beliefs in Medications: A Survey of Patients with Chronic Conditions

PURPOSE

To investigate relationships between intentional and non-intentional non-adherence behaviors and patient experience with healthcare and beliefs in medications.

PATIENTS AND METHODS

This is a post hoc analysis of a cross-sectional anonymous survey distributed between May and September 2017 to patients with rheumatic disease, inflammatory bowel disease, HIV infection or diabetes mellitus from outpatient and primary care clinics in Spain. Patients answered five questions about non-adherence behaviors and completed questionnaires on their experience with healthcare (IEXPAC: Instrument to Evaluate the EXperience of PAtients with Chronic diseases) and beliefs about medicines (BMQ: Beliefs About Medicines Questionnaire).

RESULTS

Among 1530 respondents, 53% showed ≥1 non-adherence behavior; 35% had ≥1 non-intentional non-adherence behavior, and 33% had ≥1 intentional non-adherence behavior. Patients with HIV infection had the lowest frequency of intentional non-adherence behaviors. Non-intentional non-adherence was associated with patient beliefs (inversely with BMQ overall score) and patient experiences (inversely with IEXPAC Factor 3 sub-score, self-management). Intentional non-adherence was strongly associated with beliefs scores (directly with BMQ concerns and inversely with BMQ necessity sub-score) and inversely associated with HIV infection.

CONCLUSION

The different associations of intentional and non-intentional non-adherence behaviors found in this study help to understand how patient experiences and beliefs influence medical non-adherence, and in the development of strategies for reducing non-adherence.