Not all moderate disease is the same - Identification of disability trajectories among patients with rheumatoid arthritis and moderate disease activity

Patterns of comorbidities differentially affect long-term functional evolution and disease activity in patients with 'difficult to treat' rheumatoid arthritis

BACKGROUND

Characterisation of the long-term outcome of patients with 'difficult to treat' (D2T) rheumatoid arthritis and factors contributing to its evolution are unknown. Herein, we explored the heterogeneity and contributing factors of D2T long-term outcome.

METHODS

Patients included from a prospective single centre cohort study. The EULAR definition of D2T was applied. Longitudinal clustering of functional status (modified Health Assessment Questionnaire (mHAQ)) and disease activity (Disease Activity Score-28 (DAS28)) were assessed using latent-class trajectory analysis. Multiple linear mixed models were used to examine the impact of comorbidities and their clusters on the long-term outcome.

RESULTS

251 out of 1264 patients (19.9%) were identified as D2T. Younger age, fibromyalgia, osteoarthritis, DAS28-erythrocyte sedimentation rate (ESR) at first biological or targeted synthetic disease-modifying antirheumatic drug (b/ts-DMARD) initiation and failure to reduce DAS28-ESR scores within the first 6 months of b/ts-DMARD therapy were significant predictors of patients becoming D2T. Long-term follow-up (total of 5872 person-years) revealed four groups of functional status evolution: 18.2% had stable, mildly compromised mHAQ (mean 0.41), 39.9% had gradual improvement (1.21-0.87) and two groups had either slow deterioration or stable significant functional impairment (HAQ>1). Similarly, four distinct groups of disease activity evolution were identified. Among the different clusters of comorbidities assessed, presence of 'mental-health and pain-related illnesses' or 'metabolic diseases' had significant contribution to mHAQ worsening (p<0.0001 for both) and DAS28 evolution (p<0.0001 and p=0.018, respectively).

CONCLUSION

D2T patients represent a heterogeneous group in terms of long-term disease course. Mental-health/pain-related illnesses as well as metabolic diseases contribute to long-term adverse outcomes and should be targeted in order to optimise the prognosis of this subset of rheumatoid arthritis.

Latent classes of smartphone dependency trajectories and predictors of classes among middle school students in South Korea

PURPOSE

With widespread use of smartphones, side effects of smartphone dependency among adolescents are emerging as a social problem. Screening high-risk groups is important for appropriate interventions to prevent smartphone dependency in early adolescence. This study thus aimed to identify latent classes of smartphone dependency trajectories and predictors of classes among South Korea's middle school students.

DESIGN AND METHODS

We used data from 2164 middle school students from the Korean Children and Youth Panel Survey (2018-2020). Latent growth curve modeling (LGCM) was performed to confirm the longitudinal trajectory, and latent class growth modeling (LCGM) was performed to identify latent classes of middle school students' smartphone dependency. Then, multinomial logistic regression analysis was conducted to explore predictors of the classes.

RESULTS

The LGCM showed that the trajectory of all middle school students' smartphone dependency increased (intercept 30.65, slope = 1.09). However, the LCGM identified three latent classes: (1) low-stable (intercept 23.01, nonsignificant slope), (2) medium-increasing (intercept 30.37, significant increasing slope), and (3) high-increasing (intercept 37.79, significant increasing slope). Predictors of each latent class included gender, aggressive behavior, self-esteem, parental smartphone dependency, parenting attitude, and negative peer relationships.

CONCLUSION

The results indicate that the smartphone dependency trajectory of all adolescents is not the same, and there are latent classes with different trajectory patterns.

PRACTICAL IMPLICATIONS

These findings may contribute to the development of nursing interventions for the smartphone dependency of adolescents. Such interventions should encourage positive factors and eliminate negative factors and, especially, involve parents.

Inflammatory profile of incident cases of late-onset compared with young-onset rheumatoid arthritis: A nested cohort study

OBJECTIVES

To describe the characteristics of patients between late-onset rheumatoid arthritis (LORA) with young-onset (YORA), and analyze their association with cumulative inflammatory burden.

METHODS

We performed a nested cohort study in a prospective cohort comprising 110 patients with rheumatoid arthritis (RA) and 110 age- and sex-matched controls. The main variable was cumulative inflammatory activity according to the 28-joint Disease Activity Score with erythrocyte sedimentation rate (DAS28-ESR). High activity was defined as DAS28 ≥ 3.2 and low activity as DAS28 < 3.2. The other variables recorded were inflammatory cytokines, physical function, and comorbid conditions. Two multivariate models were run to identify factors associated with cumulative inflammatory activity.

RESULTS

A total of 22/110 patients (20%) met the criteria for LORA (≥ 60 years). Patients with LORA more frequently had comorbid conditions than patients with YORA and controls. Compared with YORA patients, more LORA patients had cumulative high inflammatory activity from onset [13 (59%) vs. 28 (31%); p = 0.018] and high values for CRP (p = 0.039) and IL-6 (p = 0.045). Cumulative high inflammatory activity in patients with RA was associated with LORA [OR (95% CI) 4.69 (1.49-10.71); p = 0.008], smoking [OR (95% CI) 2.07 (1.13-3.78); p = 0.017], anti-citrullinated peptide antibody [OR (95% CI) 3.24 (1.15-9.13); p = 0.025], average Health Assessment Questionnaire (HAQ) score [OR (95% CI) 2.09 (1.03-14.23); p = 0.034], and physical activity [OR (95% CI) 0.99 (0.99-0.99); p = 0.010]. The second model revealed similar associations with inflammatory activity in patients with LORA.

CONCLUSION

Control of inflammation after diagnosis is poorer and comorbidity more frequent in patients with LORA than in YORA patients and healthy controls.

Differences in trajectory of disease activity according to biologic and targeted synthetic disease-modifying anti-rheumatic drug treatment in patients with rheumatoid arthritis

Background

The purpose of this study was to stratify patients with rheumatoid arthritis (RA) according to the trend of disease activity by trajectory-based clustering and to identify contributing factors for treatment response to biologic and targeted synthetic disease-modifying anti-rheumatic drugs (DMARDs) according to trajectory groups.

Methods

We analyzed the data from a nationwide RA cohort from the Korean College of Rheumatology Biologics and Targeted Therapy registry. Patients treated with second-line biologic and targeted synthetic DMARDs were included. Trajectory modeling for clustering was used to group the disease activity trend. The contributing factors using the machine learning model of SHAP (SHapley Additive exPlanations) values for each trajectory were investigated.

Results

The trends in the disease activity of 688 RA patients were clustered into 4 groups: rapid decrease and stable disease activity (group 1, n = 319), rapid decrease followed by an increase (group 2, n = 36), slow and continued decrease (group 3, n = 290), and no decrease in disease activity (group 4, n = 43). SHAP plots indicated that the most important features of group 2 compared to group 1 were the baseline erythrocyte sedimentation rate (ESR), prednisolone dose, and disease activity score with 28-joint assessment (DAS28) (SHAP value 0.308, 0.157, and 0.103, respectively). The most important features of group 3 compared to group 1 were the baseline ESR, DAS28, and estimated glomerular filtration rate (eGFR) (SHAP value 0.175, 0.164, 0.042, respectively). The most important features of group 4 compared to group 1 were the baseline DAS28, ESR, and blood urea nitrogen (BUN) (SHAP value 0.387, 0.153, 0.144, respectively).

Conclusions

The trajectory-based approach was useful for clustering the treatment response of biologic and targeted synthetic DMARDs in patients with RA. In addition, baseline DAS28, ESR, prednisolone dose, eGFR, and BUN were important contributing factors for 4-year trajectories.

Trajectories of Adherence to Biologic Disease-Modifying Anti-Rheumatic Drugs in Tuscan Administrative Databases: The Pathfinder Study

Scanty information on clustering longitudinal real-world data is available in the medical literature about the adherence implementation phase in rheumatoid arthritis (RA). To identify and characterize trajectories by analyzing the implementation phase of adherence to biologic Disease-Modifying Anti-Rheumatic Drugs (DMARDs), we conducted a retrospective cohort drug-utilization study using Tuscan administrative databases. RA patients were identified by a validated algorithm, including the first biologic DMARD supply from 2010 to 2015, RA specialist visit in the year before or after the first supply date and RA diagnosis in the five years before or in the year after the first supply date. We observed users for three years or until death, neoplasia, or pregnancy. We evaluated adherence quarterly through the Medication Possession Ratio. Firstly, we identified adherence trajectories and described the baseline characteristics; then, we focused on the trajectory most populated to distinguish the related sub-trajectories. We identified 952 first ever-biologic DMARD users in RA (712 females, mean age 52.7 years old, standard deviation 18.8). The biologic DMARD mostly supplied was etanercept (387 users) followed by adalimumab (233). Among 935 users with at least 3 adherence values, we identified 49 fully-adherent users, 829 continuous users, and 57 early-discontinuing users. Significant differences were observed among the index drugs. After focusing on the continuous users, three sub-trajectories were identified: continuous-steady users (556), continuous-alternate users (207), and continuous-declining users (66). No relevant differences emerged at the baseline. The majority of first ever-biologic DMARD users showed a continuous adherence behavior in RA. The role of adherence potential predictors and the association with effectiveness and safety outcomes should be explored by further studies.

Targeted literature review of current treatments and unmet need in moderate rheumatoid arthritis in the United Kingdom

OBJECTIVES

The burden and treatment landscape of RA is poorly understood. This research aimed to identify evidence on quality of life, caregiver burden, economic burden, treatment patterns and clinical outcomes for patients with moderate RA in the United Kingdom.

METHODS

A systematic literature review was performed across multiple databases and screened against pre-defined inclusion criteria.

RESULTS

A total of 2610 records were screened; seven studies presenting evidence for moderate RA were included. These patients were found to incur substantial burden, with moderate to severe levels of disability. Compared with patients in remission, moderate RA patients reported higher levels of disability and decreased EQ-5D utility scores. The majority of patients did not feel that their current therapy adequately controlled their disease or provided sufficient symptom relief. In the United Kingdom, the National Institute for Health and Care Excellence (NICE) have not approved advanced therapies (such as biological disease-modifying anti-rheumatic drugs) for patients with moderate disease, which restricts access for these patients.

CONCLUSION

The evidence available on the burden of moderate RA is limited. Despite current treatments, moderate RA still has a substantial negative impact, given that a DAS28 disease activity score defined as being in the moderate range does not qualify them for access to advanced therapies in the United Kingdom. For these patients, there is a particular need for further studies that investigate their burden and the impact of treating them earlier. Such information would help guide future treatment decisions and ensure the most effective use of resources to gain the best outcomes for patients with moderate RA.

Central Aspects of Pain in Rheumatoid Arthritis (CAP-RA): protocol for a prospective observational study

BACKGROUND

Pain and fatigue are persistent problems in people with rheumatoid arthritis. Central sensitisation (CS) may contribute to pain and fatigue, even when treatment has controlled inflammatory disease. This study aims to validate a self-report 8-item questionnaire, the Central Aspects of Pain in Rheumatoid Arthritis (CAP-RA) questionnaire, developed to measure central pain mechanisms in RA, and to predict patient outcomes and response to treatment. A secondary objective is to explore mechanisms linking CS, pain and fatigue in people with RA.

METHODS/DESIGN

This is a prospective observational cohort study recruiting 250 adults with active RA in secondary care. The CAP-RA questionnaire, demographic data, medical history, and patient reported outcome measures (PROMs) of traits associated with central sensitization will be collected using validated questionnaires. Quantitative sensory testing modalities of pressure pain detection thresholds, temporal summation and conditioned pain modulation will be indices of central sensitization, and blood markers, swollen joints and ultrasound scans will be indices of inflammation. Primary data collection will be at baseline and 12 weeks. The test-retest reliability of CAP-RA questionnaire will be determined 1 week after the baseline visit. Pain and fatigue data will be collected weekly via text messages for 12 weeks. CAP-RA psychometric properties, and predictive validity for outcomes at 3 months will be evaluated.

DISCUSSION

This study will validate a simple self-report questionnaire against psychophysical indices of central sensitization and patient reported outcome measures of traits associated with CS in a population of individuals with active RA. The application of this instrument in the clinical environment could provide a mechanism-based stratification tool to facilitate the provision of targeted therapy to individuals with pain and fatigue in RA, alongside treatments that target joint inflammation.

TRIAL REGISTRATION

Clinicaltrials.gov NCT04515589 . Date of registration 17 August 2020.

Examining the relationship between rheumatoid arthritis, multimorbidity and adverse health-related outcomes: a systematic review

OBJECTIVE

Multimorbidity (the co-existence of two or more long-term conditions (LTCs)) is highly prevalent in people with rheumatoid arthritis (RA). This work systematically reviewed the literature to determine the effect of multimorbidity on all-cause mortality, functional status and quality of life in RA.

METHODS

Six electronic databases were searched: CINAHL, Cochrane Library, Embase, Medline, PsycINFO and Scopus. Full-text longitudinal observational studies in English were selected. Quality appraisal of studies was undertaken using the Cochrane-developed QUIPS tool and a narrative synthesis of findings conducted.

RESULTS

5,343 papers were identified by the search strategy, with 19 studies meeting the inclusion criteria. Nine studies had mortality as an outcome, nine reported functional status and/or quality of life and one study reported both mortality and functional status. The number of participants ranged from 183-18,485, with studies conducted between 1985-2018. Mean age of participants ranged from 53.5-66.6 years; with 60.0-84.2% female. Nine studies reported a significant association between multimorbidity and higher risk of mortality in people with RA. Ten studies reported significant associations between multimorbidity and reduced functional status in RA. Three studies also reported a further association with reduced quality of life. Only one study investigated the influence of mental health comorbidities on outcomes.

CONCLUSION

Our review findings indicate that multimorbidity is a significant predictor for higher mortality and poorer functional status/quality of life in people with RA and should be considered in clinical management plans.

Factors associated with disability in patients with rheumatoid arthritis with persistent moderate disease activity: a retrospective cohort study

Background

Many patients with rheumatoid arthritis (RA) do not attain remission/low disease activity, remaining in a moderate disease activity state (MDAS) with ongoing disability and impaired quality of life (QoL). If patients in persistent MDAS with poor future outcomes could be prospectively identified, they could arguably be treated more intensively. We evaluated baseline factors predicting function (Health Assessment Questionnaire-Disability Index [HAQ-DI] scores) and QoL (3-level EuroQol-5 dimensions questionnaire [EQ-5D-3L] index scores) at 12 months in patients with RA in persistent MDAS in a real-world setting.

Methods

Patients with persistent MDAS (Disease Activity Score for 28-joint count based on erythrocyte sedimentation rate [DAS28-ESR] 3.2–5.1 on at least two consecutive outpatient appointments over 12 months) were identified retrospectively from Guy’s Hospital RA Centre and analysed in two groups: (1) biologic naïve at baseline or (2) receiving/ever received biologics. The baseline timepoint was the second-visit MDAS DAS28-ESR score; the endpoint was the closest visit to 12 months. Linear regression analyses evaluated relationships between baseline variables and (1) 12-month HAQ-DI scores, (2) 12-month rank-transformed EQ-5D-3L index scores, (3) 12-month changes in HAQ-DI scores, and (4) 12-month changes in EQ-5D-3L index scores.

Results

The analysis included 207 biologic-naïve and 188 biologic-experienced patients. All patients had moderate disability (mean HAQ-DI 1.21 and 1.46) and impaired QoL (mean EQ-5D-3L index scores 0.52 and 0.50). Many reported moderate/severe pain (93 and 96%) and showed little change in HAQ-DI and EQ-5D-3L index scores over 12 months. In both biologic-naïve and biologic-experienced groups, multivariate analysis revealed a significant association between baseline HAQ-DI scores and endpoint HAQ-DI scores (β = 0.67, P < 0.001 and β = 0.76, P < 0.001, respectively), 12-month changes in HAQ-DI scores (both β = − 0.21, P < 0.001), and 12-month EQ-5D-3L index scores (β = − 0.57, P < 0.001 and β = − 0.29, P = 0.004, respectively). Baseline EQ-5D-3L index scores were significantly associated with 12-month changes in EQ-5D-3L index scores in both groups (β = − 0.73, P < 0.001 and β = − 0.40, P = 0.003, respectively).

Conclusions

Patients with RA in persistent MDAS experience substantial ongoing physical disability, poor QoL, and pain. HAQ-DI is an important predictor of future disability and reduced QoL, supporting current national recommendations to measure HAQ-DI in routine care.

Treatment patterns and achievement of the treat-to-target goals in a real-life rheumatoid arthritis patient cohort: data from 1317 patients

Background

Data regarding the real-life predictors of low disease activity (LDA) in rheumatoid arthritis (RA) patients are limited. Our aim was to evaluate the rate and predictors of LDA and treatment patterns in RA.

Methods

This was a multicenter, prospective, RA cohort study where patients were evaluated in two different time points approximately 12 months apart. Statistical analysis was performed in order to identify predictors of LDA while patterns of disease-modifying anti-rheumatic drug [DMARDs; conventional synthetic (csDMARD) or biologic (bDMARD)] and glucocorticoid (GC) use were also recorded.

Results

The total number of patients included was 1317 (79% females, mean age: 62.9 years, mean disease duration: 10.3 years). After 1 year, 57% had achieved LDA (DAS28ESR<3.2) while 43% did not (34%: moderate disease activity: DAS28ESR ⩾3.2 to <5.1, 9%: high disease activity, DAS28ESR ⩾5.1). By multivariate analysis, male sex was positively associated with LDA [odds ratio (OR) = 2.29 p < 0.001] whereas advanced age (OR = 0.98, p = 0.005), high Health Assessment Questionnaire (HAQ) score (OR = 0.57, p < 0.001), use of GCs (OR = 0.75, p = 0.037) or ⩾2 bDMARDs (OR = 0.61, p = 0.002), high co-morbidity index (OR = 0.86, p = 0.011) and obesity (OR = 0.62, p = 0.002) were negative predictors of LDA. During follow-up, among active patients (DAS28ESR >3.2), 21% initiated (among csDMARDs users) and 22% switched (among bDMARDs users) their bDMARDs.

Conclusion

In a real-life RA cohort, during 1 year of follow-up, 43% of patients do not reach treatment targets while only ~20% of those with active RA started or switched their bDMARDs. Male sex, younger age, lower HAQ, body mass index and co-morbidity index were independent factors associated with LDA while use of GCs or ⩾2 bDMARDs were negative predictors.