Influence of age on the occurrence of adverse events in rheumatic patients at the onset of biological treatment: data from the BIOBADASER III register

Effectiveness and safety of treat-to-target strategy for methotrexate-naïve rheumatoid arthritis patients >75 years of age

Objectives

To identify differences in effectiveness and safety of a treat-to-target (T2T) strategy comparing late-onset MTX-naïve RA patients (LORA) ≥75 or <75 years of age.

Methods

Treatment was adjusted to target low disease activity with conventional synthetic DMARDs followed by biologic DMARDs (bDMARDs) in LORA ≥75 years (n = 98, mean age 80.0 years) and LORA <75 years (n = 99) with moderate-high disease activity. Achievement of Simplified Disease Activity Index (SDAI) remission at week 156 by non-responder imputation analysis was evaluated as a primary outcome.

Results

LORA ≥75 years had more comorbidities than LORA <75 years, but SDAI and ACPA positivity were similar at baseline. Of the LORA ≥75 years, 70.4% started MTX and 34.1% and 37.1% received a bDMARD at week 52 and 156, respectively (very similar to the LORA <75 years). Glucocorticoid use was more frequent in the LORA ≥75 years than in the LORA <75 years. Comorbidities/adverse events more frequently contributed to the reasons for non-adherence to T2T in the LORA ≥75 than in the LORA <75. At week 156, 32.7% of the LORA ≥75 and 66.7% of the LORA <75 achieved SDAI remission (P < 0.001). The cumulative incidence of serious adverse events (SAEs) over 156 weeks was 42.8% in the LORA ≥75 and 22.1% in the LORA <75. Multivariable analysis indicated an increased risk of SDAI non-remission at week 156 in the LORA ≥75 [odds ratio 2.82 (95% CI 1.29. 6.14)] after adjusting for comorbidities at baseline, non-adherence to T2T and SAEs.

Conclusions

It was more difficult to achieve remission in the LORA ≥75 patients than in the LORA <75 patients due to both poor treatment response and safety issues.

Safety and effectiveness of bDMARDs during pregnancy in patients with rheumatic diseases: Real-world data from the BIOBADASER registry

INTRODUCTION

Inflammatory rheumatic diseases usually affect women of childbearing age treated with biologic drugs. However, there is a lack of literature on the efficacy and toxicity of biologic disease-modifying drugs during pregnancy. The aim of this study was to determine the presence of pregnant patients treated with bDMARDs in a real-world dataset and to examine the impact of pregnancy and lactation on the evolution of rheumatic disease in a registry of Spanish patients.

METHOD

This was a multicentre prospective study with a real-world setting. Information was obtained from BIOBADASER registry. Patients included are women who got pregnant until November 2020 from 19 rheumatology units. We conducted proportions, means, and standard deviations (SD) to describe the study population and the use of treatments. T-test and Chi-square test were applied to assess differences between groups.

RESULT

Ninety cases of pregnancy were registered (n=68 full-term pregnancies; n=22 spontaneous miscarriages). Most of the cases discontinued bDMARDs during pregnancy (78.9%) but 13 cases continued treatment during pregnancy, mainly using certolizumab pegol. These cases were obtaining better management of rheumatic disease, although the differences were not statistically significant [DAS28-CRP, 2.9 (SD: 1.6) vs. 2.0 (1.2), p=.255; DAS28-ESR, 2.2 (1.0) vs. 1.7 (.5), p=.266]. No serious adverse events were reported during pregnancy and lactation.

CONCLUSION

Being pregnant is still an uncommon condition in patients with rheumatic diseases and using bDMARDs. Our results show that rheumatic disease tended to progress better during pregnancy in patients who continued to take bDMARDs.

Response to treatment in psoriatic arthritis, the effect of age: analysis of patients receiving ustekinumab in the PsABio real-world study

BACKGROUND

This post-hoc analysis of PsABio (NCT02627768) evaluated safety, effectiveness and treatment persistence in patients < 60 and ≥ 60 years of age receiving ustekinumab over 3 years.

METHODS

Measures included adverse events (AE), clinical Disease Activity Index for Psoriatic Arthritis (cDAPSA) low disease activity (LDA) including remission, Psoriatic Arthritis Impact of Disease-12 (PsAID-12), Minimal Disease Activity, dactylitis, nail/skin involvement and time to treatment stop. Data were analysed descriptively.

RESULTS

Overall, 336 patients < 60 and 103 ≥ 60 years received ustekinumab, with a similar gender balance. A numerically lower proportion of younger patients reported at least one AE: 124/379 (32.7%) vs 47/115 (40.9%) for patients < 60 and ≥ 60 years, respectively. Serious AEs were low (< 10%) in both groups. At 6 months, the proportion of patients with cDAPSA LDA was 138/267 (51.7%) and 35/80 (43.8%) for patients < 60 and ≥ 60 years, respectively, with the effectiveness being maintained through 36 months. PsAID-12 mean scores reduced for both groups from a baseline mean of 5.73 and 5.61 for patients < 60 and ≥ 60 years, respectively, to 3.81 and 3.88, respectively, at 6 months, and 2.02 and 3.24, respectively, at 36 months. Regarding treatment persistence, 173/336 (51.5%) vs 47/103 (45.6%) patients < 60 and ≥ 60 years, respectively, stopped or switched treatment.

CONCLUSION

Fewer AEs were observed over 3 years for younger versus older patients with PsA. There were no clinically meaningful treatment response differences. Persistence was numerically higher in the older age group.

Late-Onset Psoriatic Arthritis: Are There Any Distinct Characteristics? A Retrospective Cohort Data Analysis

As life expectancy increases, psoriatic arthritis (PsA) in older individuals becomes more prevalent. We explored whether late-onset versus earlier-onset PsA patients display different clinical features at diagnosis and/or during the disease course, as well as different treatment approaches and comorbidity profiles. We retrospectively collected data from consecutive PsA patients attending two rheumatology centers (December 2017–December 2022). Late-onset PsA patients (diagnosis-age: ≥60 years) were compared to those diagnosed before 60 years old. Univariate analyses and logistic regression were performed to examine for factors associated with late-onset PsA. For sensitivity analyses, the cohort’s mean diagnosis age was used as the cut-off value. Overall, 281 PsA patients were included (mean ± SD diagnosis-age: 46.0 ± 13.3 years). Of them, 14.2% (N = 40) had late-onset PsA. At diagnosis, after controlling for confounders, no demographic and clinical differences were identified. During the disease course, the late-onset group exhibited 65% fewer odds of manifesting enthesitis (adjusted Odds-ratio—adOR 0.35; 95% confidence interval 0.13–0.97), but higher frequency of dyslipidemia (adOR 3.01; 1.30–6.95) and of major adverse cardiovascular events (adOR 4.30; 1.42–12.98) compared to earlier-onset PsA group. No differences were found in the treatment approaches. In sensitivity analyses, PsA patients diagnosed after 46 (vs. ≤46) years old had an increased frequency of hypertension (adOR 3.18; 1.70–5.94) and dyslipidemia (adOR 2.17; 1.25–3.74). The present study underpins that late-onset PsA is not uncommon, while the age at PsA onset may affect the longitudinal clinical expression of the disease. Patients with late-onset PsA were less likely to manifest enthesitis but displayed increased cardiovascular risk.

Personalized medicine in rheumatoid arthritis: Combining biomarkers and patient preferences to guide therapeutic decisions

The last few decades have seen major therapeutic advancements in rheumatoid arthritis (RA) therapeutics. New disease-modifying antirheumatic drugs (DMARDs) have continued to emerge, creating more choices for people. However, no therapeutic works for all patients. Each has its own inherent benefits, risks, costs, dosing, and monitoring considerations. In parallel, there has been a focus on personalized medicine initiatives that tailor therapeutic decisions to patients based on their unique characteristics or biomarkers. Personalized effect estimates require an understanding of a patient's baseline probability of response to treatment and data on the comparative effectiveness of the available treatments. However, even if accurate risk prediction models are available, trade-offs often still need to be made between treatments. In this paper, we review the history of RA therapeutics and progress that has been made toward personalized risk predictive models for DMARDs, outlining where knowledge gaps still exist. We further review why patient preferences play a key role in a holistic view of personalized medicine and how this links with shared decision-making. We argue that a "preference misdiagnosis" may be equally important as a medical misdiagnosis but is often overlooked.

Optimizing Medication Use in Older Adults With Rheumatic Musculoskeletal Diseases: Deprescribing as an Approach When Less May Be More

The world population is aging, and the rheumatology workforce must be prepared to care for medically complex older adults. We can learn from our colleagues and experts in geriatrics about how to best manage multimorbidity, polypharmacy, geriatric syndromes, and shifting priorities of older adults in the context of delivering care for rheumatic and musculoskeletal diseases (RMDs). Polypharmacy, a common occurrence in an aging population with multimorbidity, affects half of older adults with RMDs and is associated with increased risk of morbidity and mortality. In addition, potentially inappropriate medications that should be avoided under most circumstances is common in the RMD population. In recent years, deprescribing, known as the process of tapering, stopping, discontinuing, or withdrawing drugs, has been introduced as an approach to improve appropriate medication use among older adults and the outcomes that are important to them. As the rheumatology patient population ages globally, it is imperative to understand the burden of polypharmacy and the potential of deprescribing to improve medication use in older adults with RMDs. We encourage the rheumatology community to implement geriatric principles, when possible, as we move toward becoming an age-friendly health care specialty.

Difficult-to-Treat Rheumatoid Arthritis in Older Adults: Implications of Ageing for Managing Patients

Difficult-to-treat rheumatoid arthritis is a heterogeneous term in which patients may present with difficulties in their management for different reasons. This can ultimately lead to patients being exposed to multiple treatments because of inefficacy (resulting from mechanisms intrinsic to rheumatoid arthritis or from non-inflammatory causes such as chronic pain syndrome or structural damage, among others), toxicity or adverse effects that may be linked to comorbidities. One particular group in which such characteristics may be more patent is older patients. Increasing life expectancy, an ageing population and the late onset of rheumatoid arthritis have led to an increased interest in the particularities of treating older patients. This may pose a challenge for physicians, as ageing has implications for optimal patient treatment owing to the potential presence of comorbidities, the risk of adverse events and perceptions of disease status by both physicians and patients. All of these factors may have implications for classifying and managing patients aged > 65 years as difficult-to-treat rheumatoid arthritis, as these patients could be misclassified. This can occur when a significant proportion may still exhibit signs of active disease but not necessarily be difficult to treat because the treatment criterion has not been fulfilled. Alternatively, patients may be exposed to multiple biologic/targeted disease-modifying antirheumatic drugs because of contraindications and/or comorbid conditions. Treatment-to-target strategies and an adequate assessment of inflammatory rheumatoid arthritis activity in older patients should be undertaken, taking special care with associated comorbidities, polypharmacy and risk profiles. Such an approach can help to ensure appropriate treatment for older adults and avoid the misclassification of difficult-to-treat patients.

Disease-specific ADRs of TNF-α inhibitors as reported by patients with inflammatory rheumatic diseases: a registry-based prospective multicenter cohort study

BACKGROUND

The extent to which adverse drug reactions (ADRs) of biologics differ per immune-mediated inflammatory disease (IMID), and the relevance of tailoring ADR information per IMID is not fully investigated. We aimed to compare patient-reported ADRs attributed to adalimumab and etanercept between different inflammatory rheumatic diseases (IRDs).

RESEARCH DESIGN AND METHODS

ADR reports from IRD patients were extracted from the Dutch Biologic Monitor. ADR frequencies were compared using Fischer-Freeman-Halton exact test and the influence of covariates was assessed using binomial logistic regression.

RESULTS

A total, of 729 participants were included, of which 354 participants reported 887 unique ADRs. ADR frequencies were not significantly different between the IRDs. Rheumatoid arthritis and ankylosing spondylitis including axial spondyloarthritis patients had an increased risk of ADRs related to 'Respiratory, thoracic and mediastinal disorders' and as compared to psoriatic arthritis patients. Etanercept use, combination therapy with methotrexate and/or corticosteroids, and age also influenced the risk of reporting specific ADRs.

CONCLUSIONS

There were no differences in frequencies and nature of patient-reported ADRs attributed to adalimumab and etanercept between different IRDs. However, more research is needed to align patients' and health-care professionals' perspectives to improve knowledge on disease-specific ADRs.

Clinical factors associated with discontinuation of ts/bDMARDs in rheumatic patients from the BIOBADASER III registry

Biologic and targeted synthetic disease-modifying antirheumatic drugs (ts/bDMARDs) play a pivotal role in the treatment of rheumatoid arthritis (RA), psoriatic arthritis (PsA), and ankylosing spondylitis (AS). Persistence of therapy provides an index of a drug’s overall effectiveness. The objective of the study was to identify factors associated with discontinuation of ts/bDMARDs in a real-world dataset. The study population comprised patients diagnosed with RA, PsA, and AS included in the BIOBADASER registry for whom follow-up data were available until November 2019. Patient features and treatment data were included in the analysis. The Kaplan–Meier method was used to study survival of the different drugs according to the reason for discontinuation. Factors associated with discontinuation were studied using Cox regression models and bivariate and multivariate analyses. P values of less than 0.05 were regarded as statistically significant. The study population comprised 4,752 patients who received a total of 8,377 drugs, of which 4,411 (52.65%) were discontinued. The Kaplan–Meier curves showed that survival for first-line treatment was greater in all 3 groups (p < 0.001). Patients with RA had a greater risk of discontinuation if they were younger (HR, 0.99; 95% CI 0.99–1.00), if they were receiving anti-TNFα agents (HR, 0.61; 95% CI 0.54–0.70), and if they had more comorbid conditions (HR, 1.09; 95% CI 1.00–1.17). Patients with PsA had a higher risk if they were women (HR, 1.36; 95% CI 1.15–1.62) and if they were receiving other ts/bDMARDs (HR, 1.29; 95% CI 1.05–1.59). In patients with AS, risk increased with age (HR, 1.01; 95% CI 1.00–1.02), as did the number of comorbid conditions (HR, 1.27; 95% CI 1.12–1.45). The factors that most affected discontinuation of ts/bDMARDs were line of treatment, age, type of drug, sex, comorbidity and the year of initiation of treatment. The association with these factors differed with each disease, except for first-line treatment, which was associated with a lower risk of discontinuation in all 3 diseases.