Disease activity trajectories for early and established rheumatoid arthritis: Real-world data from a rheumatoid arthritis cohort

Time-independent disease state identification defines distinct trajectories determined by localised vs systemic inflammation in patients with early rheumatoid arthritis

OBJECTIVES

Patients with rheumatoid arthritis (RA) display different trajectories towards improvement of disease. We aimed to disentangle the heterogeneity of RA disease trajectories from the first clinical visit onwards using graph-based pseudotime analysis.

METHODS

We studied early patients with RA over 1.5 years in 2 data sets: Leiden (Netherlands), n = 1237, with 5017 visits, and Towards a Cure for Early Rheumatoid Arthritis (TACERA) (United Kingdom), n = 243, with 750 visits. We created a pipeline for time-independent clustering of clinical and haematologic features to identify disease states. Sequence analyses of these states defined the trajectories. We studied the predictability of the trajectories with baseline features.

RESULTS

Clustering identified 8 disease states with localised inflammation (joints) and systemic inflammation (erythrocyte sedimentation rate [ESR] or leucocytes) as the main discriminating factors. The disease state sequences consisted of 4 trajectories, which we independently replicated in TACERA: A, high ESR; B, rapid progression from many inflamed joints towards remission; C, high leucocytes; and D, many inflamed joints with poor prognosis. Systemic vs local inflammation patterns showed moderate predictability at baseline (sensitivity of 71% and precision of 0.73 for trajectory A, although lower precision of 0.52 for trajectory B), while other trajectories were less predictable. Trajectories C and D had strong resemblance with B at baseline but deteriorated into less favourable trajectories. Patients in trajectory A were more often female and on average older. The trajectories were not explained by time till disease-modifying antirheumatic drug, baseline disease activity, or symptom duration. The suboptimal trajectories coincided with worse patient-reported outcomes, even when the inflammation was mainly systemic.

CONCLUSIONS

We identified 4 distinct trajectories in early RA, differentiating RA into localised vs systemic inflammation. Our results highlight potential differences in disease pathology and opportunities for further targeted treatment. Inevitably, patterns without linkage to our selected features could not be detected.

Biomarker combination predicting imminent relapse after discontinuation of biological drugs in patients with rheumatoid arthritis in remission

OBJECTIVES

Compared to conventional disease-modifying antirheumatic drugs (DMARDs), biological DMARDs demonstrate superior efficacy but come with higher costs and increased infection risks. The ability to stop and resume biological DMARD treatment while maintaining remission would significantly alleviate these barriers and anxieties. The objective of this study was to identify biomarkers that can predict an imminent relapse, hopefully enabling the timely resumption of biological DMARDs before relapse occurs.

METHODS

Forty patients with rheumatoid arthritis who had been in remission for more than 12 months were included in the study. The patients discontinued their biological DMARD treatment and were monitored monthly for the next 24 months. Out of the 40 patients, 14 (35%) remained in remission at the end of the 24-month period, while 26 (65%) experienced relapses at different time points. Among the relapse cases, 13 patients experienced early relapse within 6 months, and another 13 patients had late relapse between 6 months and 24 months. Seventy-three cytokines in the sera collected longitudinally from the 13 patients with late relapse were measured by multiplex immunoassay. Using cytokines at two time points, immediately after withdrawal and just before relapse, volcano plot and area under the receiver operating characteristic curves (AUC) were drawn to select cytokines that distinguished imminent relapse. Univariate and multivariate logistic regression analyses were used for the imminent relapse prediction model.

RESULTS

IL-6, IL-29, MMP-3, and thymic stromal lymphopoietin (TSLP) were selected as potential biomarkers for imminent relapse prediction. All four cytokines were upregulated at imminent relapse time point. Univariate and multivariate logistic regression showed that a combination model with IL-6, MMP-3, and TSLP yielded an AUC of 0.828 as top predictors of imminent relapse.

CONCLUSIONS

This methodology allows for the prediction of imminent relapse while patients are in remission, potentially enabling the implementation of on- and off-treatments while maintaining remission. It also helps alleviate patient anxiety regarding the high cost and infection risks associated with biological DMARDs, which are the main obstacles to benefiting from their superb efficacy.

Distinct long-term disease activity trajectories differentiate early on treatment with etanercept in both rheumatoid arthritis and spondylarthritis patients: a prospective cohort study

To characterize disease activity trajectories and compare long-term drug retention between rheumatoid (RA) and spondylarthritis (SpA) patients initiating tumor necrosis factor inhibitor (TNFi) treatment (etanercept). Prospective observational study of RA, axial (AxSpA) and peripheral SpA (PerSpA) patients initiating etanercept during 2004-2020. Kaplan-Meier plots were used for drug retention comparisons and multivariable Cox regression models for predictors of discontinuation. Long-term disease activity trajectories were identified by latent class growth models using DAS28-ESR or ASDAS-CRP as outcome for RA and AxSpA respectively. We assessed 711 patients (450 RA, 178 AxSpA and 83 PerSpA) with a median (IQR) follow-up of 12 (5-32) months. At 5 years, 22%, 30% and 21% of RA, AxSpA and PerSpA patients, respectively, remained on therapy. Etanercept discontinuation was independent of the diagnosis and was predicted by gender and obesity in both RA and SpA groups. Four disease activity (DA) trajectories were identified from 6th month of treatment in both RA and AxSpA. RA patients in remission-low DA groups (33.7%) were younger, had shorter disease duration, fewer comorbidities and lower baseline disease activity compared to moderate (40.6%) & high DA (25.7%) groups. In AxSpA 74% were in inactive-low DA and they were more often males, non-obese and had lower number of comorbidities compared to higher ASDAS-CRP trajectories. In RA and AxSpA patients, disease activity trajectories revealed heterogeneity of TNFi treatment responses and prognosis. Male gender, lower baseline disease activity and fewer comorbidities, characterize a favourable outcome in terms of disease burden accrual and TNFi survival.

A Web-Based Patient Empowerment to Medication Adherence Program for Patients With Rheumatoid Arthritis: Feasibility Randomized Controlled Trial

BACKGROUND

Living with a chronic illness such as rheumatoid arthritis (RA) requires medications and therapies, as well as long-term follow-up with multidisciplinary clinical teams. Patient involvement in the shared decision-making process on medication regimens is an important element in promoting medication adherence. Literature review and needs assessment showed the viability of technology-based interventions to equip patients with knowledge about chronic illness and competencies to improve their adherence to medications. Thus, a web-based intervention was developed to empower patients living with RA to adhere to their disease-modifying antirheumatic drugs (DMARDs) medication regimen.

OBJECTIVE

This study aims to discuss the intervention mapping process in the design of a web-based intervention that supports patient empowerment to medication adherence and to evaluate its feasibility among patients living with RA.

METHODS

The theory-based Patient Empowerment to Medication Adherence Programme (PE2MAP) for patients with RA was built upon the Zimmerman Psychological Empowerment framework, a web-based program launched through the Udemy website. PE2MAP was developed using a 6-step intervention mapping process: (1) needs assessment, (2) program objectives, (3) conceptual framework to guide the intervention, (4) program plan, (5) adoption, and (6) evaluation involving multidisciplinary health care professionals (HCPs) and a multimedia team. PE2MAP is designed as a 4-week web-based intervention program with a complementary RA handbook. A feasibility randomized controlled trial was completed on 30 participants from the intervention group who are actively taking DMARD medication for RA to test the acceptability and feasibility of the PE2MAP.

RESULTS

The mean age and disease duration of the 30 participants were 52.63 and 8.50 years, respectively. The feasibility data showed 87% (n=26) completed the 4-week web-based PE2MAP intervention, 57% (n=17) completed all 100% of the contents, and 27% (n=8) completed 96% to 74% of the contents, indicating the overall feasibility of the intervention. As a whole, 96% (n=24) of the participants found the information on managing the side effects of medications, keeping fit, managing flare-ups, and monitoring joint swelling/pain/stiffness as the most useful contents of the intervention. In addition, 88% (n=23) and 92% (n=24) agreed that the intervention improved their adherence to medications and management of their side effects, including confidence in communicating with their health care team, respectively. The dos and do nots of traditional Chinese medicine were found by 96% (n=25) to be useful. Goal setting was rated as the least useful skill by 6 (23.1%) of the participants.

CONCLUSIONS

The web-based PE2MAP intervention was found to be acceptable, feasible, and effective as a web-based tool to empower patients with RA to manage and adhere to their DMARD medications. Further well-designed randomized controlled trials are warranted to explore the effectiveness of this intervention in the management of patients with RA.

Prediction of flare following glucocorticoids withdrawal in rheumatoid arthritis patients with continuation of csDMARDs: a real-life study

OBJECTIVE

To determine the risk factors for flare after glucocorticoids (GC) withdrawal in rheumatoid arthritis (RA) patients with undergoing conventional synthetic disease-modifying anti-rheumatic drugs (csDMARDs).

METHODS

RA patients who discontinued GC with continuation of csDMARD were selected from a longitudinal real-world cohort. Established RA was defined as disease duration over 12 months. Dissatisfied RA control was defined as the proportion of simplified disease activity index (SDAI)-based remission time to total time from GC initiation to discontinuation less than 50%. Logistic regression was used to analyze the independent risk factors for flare after GC discontinuation and results were expressed as odds ratio (OR).

RESULTS

There were 115 eligible RA patients discounted GC with continuation of csDMARDs (methotrexate: 80%; hydroxychloroquine: 61%; csDMARDs combination: 79%). Of these, 24 patients experienced flare after GC discontinuation. Compared with relapse-free patients, flare patients were more likely to have established RA (75% vs 49%, p = 0.025), higher median cumulative prednisolone dosages (3.3 vs 2.2 g, p = 0.004), and higher proportion of dissatisfied RA control during GC usage (66% vs 33%, p = 0.038). In multivariate analysis, significantly increased flare risk was predicted by established RA (OR 2.93 [1.02-8.43]), cumulative prednisolone dose > 2.5 g (OR 3.69 [1.34-10.19]) and dissatisfied RA control (OR 3.00 [1.09-8.30]). Flare risk was increased with increases in number of risk factors with highest OR of 11.56 in patients with three risk factors (p for trend = 0.002).

CONCLUSIONS

Flare following GC withdrawal is not common in RA patients with undergoing csDMARDs therapy. Established RA, higher cumulative GC dose and dissatisfied RA control before GC discontinuation are important factors associated with flare after GC withdrawal.