Comorbidity burden in the first three years after diagnosis in patients with rheumatoid arthritis, psoriatic arthritis or spondyloarthritis: a general practice registry-based study

Arthritis prevalence is associated with metabolic syndrome risk factors but not with physical activity in middle-aged and older patients - a cross-sectional study

BACKGROUND

In light of the aging population, increasingly suffering from the metabolic syndrome (MS), strategies need to be developed to address global public health challenges known to be associated with MS such as arthritis. As physical activity (PA) may play a crucial role in tackling those challenges, this study aimed to determine the association between the number of MS risk factors, PA and arthritis in people ≥ 50 years old.

METHODS

Data from the Survey of Health, Ageing, and Retirement in Europe (SHARE) were used to estimate the prevalence of arthritis and MS risk factors in the European population ≥ 50 years and to evaluate the associations between MS risk factors, PA and arthritis. Binary logistic regression was performed to calculate the odds ratio of different factors.

RESULTS

73,125 participants were included in the analysis. 55.75% of patients stated at least one of the three MS risk factors. The prevalence of rheumatoid arthritis (RA) and osteoarthritis (OA)/other rheumatism among ≥ 50 years population was 10.19% and 19.32% respectively. Females showed a higher prevalence of arthritis than males. Prevalence did not differ between groups with different levels of PA. Arthritis prevalence was positively correlated with the number of MS risk factors (P < 0.01) but not with PA (P > 0.05).

CONCLUSION

Middle-aged and older Europeans with multiple comorbidities suffered from RA, OA or other rheumatism more frequently than participants with fewer comorbidities, while the level of physical activity was not associated with the number of metabolic risk factors in patients with RA and OA/other rheumatism.

Impact of multimorbidity on the first ts/bDMARD effectiveness and retention rate after two years of follow-up in patients with rheumatoid arthritis from the BIOBADASER registry

BACKGROUND

Patients with Rheumatoid Arthritis (RA) have a higher prevalence of comorbidities compared to the general population. However, the implications of multimorbidity on therapeutic response and treatment retention remain unexplored.

OBJECTIVES

(a) To evaluate the impact of multimorbidity on the effectiveness of the first targeted synthetic or biologic disease-modifying antirheumatic drug (ts/bDMARD), in patients with RA after 2-year follow-up; (b) to investigate the influence of multimorbidity on treatment retention rate.

METHODS

Patients with RA from the BIOBADASER registry exposed to a first ts/bDMARDs were included. Patients were categorized based on multimorbidity status at baseline, defined as a Charlson Comorbidity index (CCI) score ≥ 3. A linear regression model, adjusted for sex and age, was employed to compare the absolute DAS28 score over time after ts/bDMARD initiation between the two groups. The Log-Rank test and Kaplan-Meier curve were used to compare the retention rates of the first ts/bDMARD between the groups.

RESULTS

A total of 1128 patients initiating ts/bDMARD were included, with 107 (9.3%) exhibiting multimorbidity. The linear regression model showed significantly higher DAS28 (beta coefficient 0.33, 95%CI:0.07-0.58) over a two-year period in patients with multimorbidity, even after adjusting for age and sex. Finally, no differences in the ts/bDMARD retention rate were found between groups (median 6.94-6.96 years in CCI < 3 vs. 5.68-5.62 in CCI ≥ 3; p = 0.610).

CONCLUSIONS

Multimorbidity in patients with RA was associated with greater DAS28 scores within the first two years after ts/bDMARD initiation, in comparison with patients without multimorbidity. A slightly shorter retention rate was found in patients with multimorbidity, although the difference was non-significant.

Effectiveness and feasibility of a mobile health self-management intervention in rheumatoid arthritis: study protocol for a pragmatic multicentre randomised controlled trial (AEGORA)

BACKGROUND

Rheumatoid arthritis (RA) considerably impacts patients' lives. Patients' confidence in their ability to manage this impact, or self-efficacy, can be supported with self-management interventions. One approach is to use mobile health (mHealth) applications, which can additionally provide insight into disease impact by remotely monitoring patient-reported outcomes. However, user engagement with mHealth-apps is variable, and concerns exist that remote monitoring might make patients overly attentive to symptoms.

METHODS

App-based Education and GOal setting in RA (AEGORA) is a multicentre, pragmatic randomised controlled trial investigating an mHealth-based self-management intervention to improve self-efficacy and remotely monitor disease impact in patients with RA. The intervention is provided via an adapted version of the application Sidekick (Sidekick Health, Reykjavik, Iceland) and consists of education, goal setting, lifestyle advice, and remote assessment of the Rheumatoid Arthritis Impact of Disease (RAID) questionnaire. Across two centres, 120 patients will be recruited and randomised (2:1:1) to usual care or intervention group A/B (study app with weekly/monthly prompts to complete the RAID, respectively). Outcomes are assessed at baseline and after 4-6 months. The primary endpoint is a clinically important improvement (≥ 5.5/110) in the Arthritis Self-Efficacy Scale in the combined intervention group compared to usual care. Secondary endpoints are (a) non-inferiority regarding pain catastrophising, as a measure of symptom hypervigilance; (b) superiority regarding the RAID, sleep quality, and physical activity; and (c) participant engagement with the study app. Finally, the relationship between engagement, prompted frequency of RAID questionnaires, and the primary and secondary outcomes will be explored.

DISCUSSION

The AEGORA trial aims to study the effectiveness of mHealth-based, multicomponent self-management support to improve self-efficacy in the context of RA, while providing potentially valuable insights into temporal disease activity dynamics and the feasibility and possible negative effects of remote symptom monitoring in this population.

TRIAL REGISTRATION

Clinicaltrials.gov NCT05888181. Retrospectively registered on March 23, 2023. Study inclusion started on March 3, 2023.

High burden of polypharmacy and comorbidity in persons with psoriatic arthritis: an analysis of claims data, stratified by age and sex

OBJECTIVE

To assess polypharmacy in women and men with psoriatic arthritis (PsA).

METHODS

From the German BARMER health insurance database, 11 984 persons with PsA and disease-modifying antirheumatic drug therapy in 2021 were included and compared with sex-matched and age-matched controls without inflammatory arthritis. Medications were analysed by Anatomical Therapeutic Chemical (ATC) groups. Polypharmacy (≥5 concomitant drugs) was compared by sex, age and comorbidity using the Rheumatic Disease Comorbidity Index (RDCI) and the Elixhauser Score. The mean difference in the number of medications between persons with PsA and controls was estimated using a linear regression model.

RESULTS

Compared with controls, all ATC drug classes were significantly more frequent in persons with PsA, most commonly musculoskeletal (81% vs 30%), immunomodulatory (56% vs 2.6%), cardiovascular (62% vs 48%), alimentary tract/metabolic (57% vs 31%) and nervous system (50% vs 31%) drugs. Polypharmacy was significantly higher in PsA (49%) compared with controls (17%), more frequent in women (52%) compared with men (45%) and strongly increased with age and comorbidity. For each unit increase of the RDCI, the age-adjusted number of medications increased by 0.98 (95% CI 0.95 to 1.01) units in men and 0.93 (95% CI 0.90 to 0.96) units in women. Compared with controls, the number of medications in PsA (mean 4.9 (SD 2.8)) was 2.4 (95%CI 2.34; 2.43) units higher in women and 2.3 (95% CI 2.21 to 2.35) units higher in men.

CONCLUSIONS

Polypharmacy is common in PsA and is composed of PsA-specific medication as well as frequent medications for comorbidities, equally affecting women and men.

Associations of Polypharmacy With Clinical Parameters, Function, and Health-Related Quality of Life in Psoriatic Arthritis

OBJECTIVE

The aim of this study was to assess predictors of polypharmacy and its effect on health-related quality of life in patients with psoriatic arthritis (PsA).

METHODS

This cross-sectional study was performed between February and December 2019. The number of medications was grouped into minor (2-4) and major (≥5) polypharmacy. Functional status and quality of life were assessed using the Health Assessment Questionnaire and Short-Form 36, respectively. Clinical and demographic characteristics, physical function, and quality of life of the polypharmacy group were compared. Predictive factors for major polypharmacy were evaluated using a logistic regression analysis.

RESULTS

The mean age of the 100 patients (70 females and 30 males) with PsA was 48.43 ± 12.94 years. The proportion of patients with major polypharmacy was 19%. The physical function subscale of Short-Form 36 was lower in the major polypharmacy group ( p = 0.009). Univariable analysis revealed that sex, body mass index, disease duration, disease activity, psoriasis severity, dactylitis, enthesitis, PsA subtypes, smoking, and Health Assessment Questionnaire were not associated with major polypharmacy ( p > 0.10). In the multivariable model, the number of comorbidities (odds ratio, 3.151; 95% confidence interval, 1.828-5.429; p < 0.001) and age ≥60 years (odds ratio, 4.864; 95% confidence interval, 1.159-20.418; p = 0.031) were significantly associated with major polypharmacy.

CONCLUSIONS

The number of comorbid diseases and age ≥60 years were the factors associated with major polypharmacy in patients with PsA. Although physical function was not associated with polypharmacy, patients with major polypharmacy had poorer quality of life.

The burden of progression of psoriatic arthritis. All-Russian register data

Background. Psoriatic arthritis (PsA) is a complex immune-mediated disease in which a third of patients with psoriasis (PsO) have a inflammatory lesion of both the musculoskeletal system (peripheral joints and axial structures) and extra-articular manifestations (dactylitis, enthesitis, nail PsO, uveitis and inflammatory bowel disease). Aim. To assess the burden of PsA progression in real practice according to the Russian register of PsA patients. Materials and methods. Seven hundred thirty seven M/F=350 (47.5%)/387 (52.5%) patients with PsA from the Russian register of PsA patients were included. Mean age 47.412.7 yrs., duration of PsO 200.6158.9 mo., PsA 79.681.9 mo. All patients were divided into 2 groups by PsA duration: 1st gr 36 mo 288 (39.1%) and 2nd gr 36 mo 449 (60.9%). All patients underwent standard clinical examination of PsA activity. Tender (68) and swelling (66) joint count (TJC, SJC), DAPSA, LEI, tenderness of the plantar fascia, PsO BSA (%), PASI, HAQ-DI, PsAID-12, BMI (kg/m2), ESR (mm/h), CRP (mg/l) and comorbidities by ICD-10 were evaluated. Parametric and non-parametric methods of statistical analysis were used. All p0.05 were considered to indicate statistical significance. Results. In patients with PsA duration 36 mo we found significant prevalence of erosions by X-Ray, axial PsA, BMI30 kg/m2, HAQ-DI1, PsAID-124, arterial hypertension, metabolic syndrome and overall comorbidity (p0.05). There were no significant differences between groups in PsO severity by BSA3%, PASI1, LEI1, TJC, SJC, dactylitis, ESR30 mm/h, CRP10 mg/l, DAPSA, diabetes mellitus, hyperlipidemia, coronary heart disease and liver damage (p0.05). Сonclusion. Long-standing stage PsA is associated with erosions, axial PsA, worst health related quality of life, functional disability and increased cardio-metabolic disorders and overall comorbidity. Our results support the idea to start bDMARDs at early stage of PsA, it can improve better outcomes.

Early Real-World Experience of Tofacitinib for Psoriatic Arthritis: Data from a United States Healthcare Claims Database

Introduction

This study characterized real-world demographic and baseline clinical characteristics, as well as treatment persistence and adherence, in patients with psoriatic arthritis (PsA) who had newly initiated tofacitinib treatment.

Methods

This retrospective cohort study included patients aged 18 years or older in the IBM MarketScan™ US database with at least one tofacitinib claim (first = index) between December 14, 2017 and April 30, 2019; PsA diagnoses on/within 12 months pre-index; and no diagnoses of rheumatoid arthritis any time pre-index. Patients were continuously enrolled for 12 months pre-index and 6 months post-index, with no pre-index claims for tofacitinib. Patient demographic and clinical characteristics on the day of index, and history of advanced treatments (including tofacitinib monotherapy or combination therapy), were recorded. Outcomes at 6 months post-index included tofacitinib persistence (less than 60-day gap without tofacitinib treatment) and adherence (proportion of days covered [PDC] and medication possession ratio 80% or higher).

Results

Of the 10,354 patients with tofacitinib claims within the study period, 318 patients with PsA met the inclusion criteria. More than 60% of patients received tofacitinib monotherapy post-index, with a mean duration of PsA of 760.5 days at index. For patients who received tofacitinib combination therapy post-index, methotrexate was the most common concomitant conventional synthetic disease-modifying antirheumatic drug. At 6 months post-index, persistence was similar in patients receiving tofacitinib monotherapy (69.8%) versus combination therapy (73.1%); adherence (as measured by PDC ≥ 0.8) was numerically lower in patients receiving tofacitinib monotherapy (56.8%) versus combination therapy (65.5%).

Conclusions

This analysis of US-based claims data described patients who had newly initiated tofacitinib treatment an average of 2 years after PsA diagnosis, with approximately two-thirds of patients receiving tofacitinib monotherapy. Observed rates of tofacitinib persistence were similar across patients who received tofacitinib monotherapy and combination therapy 6 months after initiation; adherence rates were numerically lower in patients receiving monotherapy.

Graphical Abstract

Tofacitinib is a drug approved to treat patients with psoriatic arthritis (PsA) that has been shown to improve PsA symptoms and quality of life in controlled clinical trials. However, there is not much information on everyday use of tofacitinib outside of clinical trials in the USA. This study is one of the first to describe the characteristics of patients with PsA in the USA who take tofacitinib, including their typical age, sex, where they live, how long they have had PsA, and how they use tofacitinib. Use of tofacitinib included how patients followed tofacitinib prescription timings and dose (adherence) and how long they took tofacitinib for after it was prescribed (persistence). We used data collected from a US health insurance claims database (IBM MarketScan™) for patients with PsA and at least one claim for tofacitinib. In total, 318 patients were included and over 60% of them received tofacitinib therapy only (monotherapy; no conventional synthetic disease-modifying antirheumatic drug [csDMARD] therapy). For patients treated with both tofacitinib and a csDMARD (combination therapy), methotrexate was the most common drug prescribed. Six months after their first prescription of tofacitinib, around 70% of patients were still taking tofacitinib (monotherapy or combination therapy). However, a slightly lower number of patients taking tofacitinib monotherapy were taking it as originally instructed (adherence 57%), compared with those taking tofacitinib combination therapy (adherence 66%). Our results provide valuable information on the use of tofacitinib in US real-life settings outside of clinical trials and could help to improve the quality of care for patients with PsA.

Pathway Phenotypes Underpinning Depression, Anxiety, and Chronic Fatigue Symptoms Due to Acute Rheumatoid Arthritis: A Precision Nomothetic Psychiatry Analysis

Rheumatoid arthritis (RA) is a chronic inflammatory and autoimmune disorder which affects the joints in the wrists, fingers, and knees. RA is often associated with depressive and anxiety symptoms as well as chronic fatigue syndrome (CFS)-like symptoms. This paper examines the association between depressive symptoms (measured with the Beck Depression Inventory, BDI), anxiety (Hamilton Anxiety Rating Scale, HAMA), CFS-like (Fibro-fatigue Scale) symptoms and immune–inflammatory, autoimmune, and endogenous opioid system (EOS) markers, and lactosylcer-amide (CD17) in RA. The serum biomarkers were assayed in 118 RA and 50 healthy controls. Results were analyzed using the new precision nomothetic psychiatry approach. We found significant correlations between the BDI, FF, and HAMA scores and severity of RA, as assessed with the DAS28-4, clinical and disease activity indices, the number of tender and swollen joints, and patient and evaluator global assessment scores. Partial least squares analysis showed that 69.7% of the variance in this common core underpinning psychopathology and RA symptoms was explained by immune–inflammatory pathways, rheumatoid factor, anti-citrullinated protein antibodies, CD17, and mu-opioid receptor levels. We constructed a new endophenotype class comprising patients with very high immune–inflammatory markers, CD17, RA, affective and CF-like symptoms, and tobacco use disorder. We extracted a reliable and replicable latent vector (pathway phenotype) from immune data, psychopathology, and RA-severity scales. Depression, anxiety, and CFS-like symptoms due to RA are manifestations of the phenome of RA and are mediated by the effects of the same immune–inflammatory, autoimmune, and other pathways that underpin the pathophysiology of RA.