The Use of Rheumatic Disease Comorbidity Index for Predicting Clinical Response and Retention Rate in a Cohort of Rheumatoid Arthritis Patients Receiving Tumor Necrosis Factor Alpha Inhibitors

Comorbidities in Nigerian patients with rheumatoid arthritis

INTRODUCTION

Rheumatoid arthritis has been infrequently reported among African black populations. Recent data have shown increasing reportage. Comorbidities are increasingly recognised as important in the overall morbidity, mortality and response to management. There have been few reports from Africa on the frequency and role of comorbidities associated with rheumatoid arthritis (RA) in Africans.

METHODS

This 20-year retrospective study looked at the frequency of various comorbidities among Nigerian patients with rheumatoid arthritis from a rheumatology facility. Data were obtained from the case record files of 283 RA patients. The chi-square test was used to assess the relationship between patient characteristics and the presence of comorbidity, while logistic regression was used to determine factors that were independently associated with the occurrence of comorbidities in these patients.

RESULTS

The frequency of comorbidities among RA patients is high at 52.3%, mainly from common conditions such as hypertension (22.3%), dyslipidaemia (11.3%), osteoarthritis (8.1%), diabetes mellitus (7.1%), peptic ulcer disease (6.4%) and interstitial lung disease (3.5%). Increasing age (χ2 47.74, P<0.001) and prolonged duration of symptoms before diagnosis (χ2 9.0, P = 0.02) were significantly associated with the presence of comorbidity on univariate analysis, and only age was found to be independently associated with comorbidities on logistic regression.

CONCLUSION

The frequencies of these comorbidities are similar in certain aspects to other such reports but differ from others. An important factor may be the delay in presentation to a rheumatologist. It is hoped that other more extensive studies will elucidate some of these findings.

Multimorbidity in Rheumatoid Arthritis: Literature Review and Future Directions

PURPOSE OF REVIEW

To offer a narrative review of literature and an update on rheumatoid arthritis (RA) multimorbidity research over the past five years as well as future directions.

RECENT FINDINGS

Patients with RA experience higher prevalence of multimorbidity (31-86% vs 18-71% in non-RA) and faster accumulation of comorbidities. Patients with multimorbidity have worse outcomes compared to non-RA multimorbid patients and RA without multimorbidity including mortality, cardiac events, and hospitalizations. Comorbid disease clusters often included: cardiopulmonary, cardiometabolic, and depression and pain-related conditions. High-frequency comorbidities included interstitial lung disease, asthma, chronic obstructive pulmonary disease, cardiovascular disease, fibromyalgia, osteoarthritis, and osteoporosis, thyroid disorders, hypertension, and cancer. Furthermore, patients with RA and multimorbidity are paradoxically at increased risk of high RA disease activity but experience a lower likelihood of biologic use and more biologic failures. RA patients experience higher prevalence of multimorbidity and worse outcomes versus non-RA and RA without multimorbidity. Findings call for further studies.

Retention rate of tumor necrosis factor inhibitors, anti-interleukin 17, and anti-interleukin 12/23 drugs in a single-center cohort of psoriatic arthritis patients

The objective of this study was to evaluate biological disease-modifying anti-rheumatic drugs (bDMARDs) survival in several therapy courses of patients affected by psoriatic arthritis (PsA) and to compare tumor necrosis factor inhibitors (TNFi) and non-TNFi retention rates. A total of 241 bDMARD therapy courses (155 TNFi drugs, 65 anti-interleukin (IL)-17 drugs, and 21 anti-IL12/23) were analyzed. Bivariate analyses were performed to assess the presence of demographic and clinical features, as well as comorbidities, associated with bDMARD discontinuation in TNFi and non-TNFi groups. In the bivariate analyses of TNFi and non-TNFi groups, we found a lower age at the start of TNFi therapy in the former group [46 years, interquartile range (IQR) 45-54 vs 50.5 years, IQR 42-61; p=0.004] as well as a lower proportion of patients with skin psoriasis (65.8% vs 88.4%; p<0.001). Survival analysis showed no significant differences between TNFi and non-TNFi groups. Cox regression found fibromyalgia as a predictor of drug failure [hazard ratio (HR) 3.40, confidence interval (CI) 1.92-6.03; p<0.001] and first-line bDMARDs as a protective factor (HR 0.46, CI 0.25-0.88; p=0.019). Lastly, among TNFi courses, fibromyalgia was associated with drug suspension (HR 6.52, CI 3.16-13.46; p<0.001), while only a trend of significance for skin psoriasis as a risk factor for drug failure was shown (HR 2.38, CI 1.00-5.66, p=0.05). This study provides information about clinical and demographic factors associated with retention rates of bDMARDs from a real-life, single-center cohort of PsA patients.

Association between Rheumatic Disease Comorbidity Index and factors of poor prognosis in a cohort of 280 patients with rheumatoid arthritis

BACKGROUND

Rheumatoid arthritis (RA) is commonly associated with higher rates of comorbidities. Recent recommendations highlight screening comorbidities during the disease course because of their impact on patients' ability to function, on disease outcome, but also on treatment choices. Hence the interest of our study that aimed to quantify the impact of comorbidities among RA patients using a validated tool the Rheumatic Disease Comorbidity Index (RDCI) and to explore the association between comorbidities and disease characteristics.

METHODS

We conducted a cross-sectional study over 12 months period, including patients followed for an established RA according to the ACR/EULAR 2010 criteria and hospitalized in our rheumatology department. Patients' characteristics and disease features were collected for each patient. Comorbidities were quantified using the RDCI. We looked for the association between RDCI and patients characteristics and RA parameters. Univariable and multivariable analysis were made.

RESULTS

They were 280 patients: 233 female (83.2%) and 47 male (16.8%) with a mean age of 58.07 (SD 11.12) years. The mean follow-up period was 14.74 (SD 1.63) years. Comorbidities were noted in 133 patients (47.5%). The mean comorbidity score measured by the RDCI was 1.05 (SD 1.23). RDCI was positively correlated with age (p < 0.001, r = 0.359). RA patients whose age of disease onset exceeds 40 years have significantly higher RDCI (1.8 (SD 1.3) [CI 95%: 1.36-1.88] vs. 1.5 (SD 1.2), p = 0.007). Moreover, RDCI was significantly associated with the presence pulmonary involvement (p < 0.001) and ocular involvement (p = 0.002). RDCI was also associated with erosive RA (p = 0.006), the presence of atlanto-axial dislocation (p = 0.014), and coxitis (p = 0.029). Regarding therapy regimen, RDCI was statistically increased in patients receiving bDMARDs compared to patients under csDMARDs (2.8 (SD 1.6) vs. 1.0 (SD 1.0), p = 0.021).

CONCLUSION

In this study, comorbidity index was associated with signs of poor prognosis such as erosions, coxitis, and atlanto-axial dislocation. This confirmed the hypothesis that comorbidity can be a threat to the improvement in the long-term prognosis in RA patients.

Predictors of remission in rheumatoid arthritis patients treated with biologics: a systematic review and meta-analysis

Biologics have emerged as an effective treatment of rheumatoid arthritis (RA). However, there is a significant proportion of patients who fail to respond to biologics. Identifying the predictors that affect the response to biologics remains challenging. A comprehensive literature search of PubMed, Embase, and Web of Science databases was conducted through May 1, 2022. We included all studies that used a multivariate model to assess for the predictors of remission in RA patients treated with biologics. We calculated pooled odds ratios (OR) with 95% confidence intervals (CI) for risk factors reported in ≥ 3 studies using a random-effects model. A total of 16,934 patients with RA who were treated with biologics were included in twenty-one studies. Our study showed that old age (OR 0.98 (0.97, 0.99), P < 0.00001), female gender (OR 0.66 (0.56, 0.77), P < 0.00001), smoking history (OR 0.86 (0.75, 0.99), P 0.04), obesity (OR 0.95 (0.91, 0.99), P 0.02), poor functional status (OR 0.62 (0.48, 1.27), P < 0.00001), high disease activity (OR 0.90 (0.85, 0.96), P 0.0005), and elevated erythrocyte sedimentation rate (OR 0.99 (0.98, 1.00), P 0.009) were poor predictors of remission. On the other hand, positive anti-citrullinated protein antibodies (OR 2.52 (1.53, 4.12), P 0.0003) was associated with high remission rate. Old age, female gender, obesity, smoking history, poor functional status, high disease activity, and elevated ESR at the time of diagnosis have been associated with poor response to biologics. Our findings could help establish a risk stratification model for predicting the remission rate in RA patients receiving biologics.

Differential retention of adalimumab and etanercept biosimilars compared to originator treatments: Results of a retrospective French multicenter study

Objectives

Previous studies demonstrated equivalence in terms of efficacy and safety of biosimilars (bsDMARDs) compared to original treatments (boDMARDs) and in switching situations. Less is known about what happens when initiating a bsDMARD in a molecule naïve patient. The objectives of our study were to compare the retention of treatment of subcutaneous boDMARDs and bsDMARDs globally, depending on the disease [rheumatoid arthritis (RA), spondyloarthritis (SpA), or psoriatic arthritis (PsA)], molecule [etanercept (ETN) or adalimumab (ADA)], line of treatment, or presence of citrate in the context of first use of each molecule (namely initiation) and to analyze treatment retention's predictive factors.

Materials and methods

This multicenter retrospective study used data from shared medical records of the RIC-FRANCE network, encompassing the prescription of hospital rheumatologists and attached practitioners, of patients with RA, SpA, or PsA, with the starting ETN between 03/10/2016 and 31/07/2020, or ADA between 23/10/2018 and 31/07/2020. Clinical data were collected from medical records. Retention analysis was performed using Kaplan-Meier curves and the log-rank test. Retention's predictive factors were analyzed using Cox proportional-hazard ratio.

Results

Eight hundred forty-five prescriptions were analyzed: 340 boDMARDs and 505 bsDMARDs. About 57% of prescriptions concerned women. The mean age was 51.8 years. About 38% were prescriptions for RA, 16% for PsA, and 46% for SpA. An increase in the initiation over time was observed for both ETN and ADA. The retention rate of bsDMARDs was superior to boDMARDs' one (39 vs. 23 months; p = 0.045). When molecules are compared, the difference was significant only for ETN (45 vs. 19 months for boDMARD; p = 0.0265). When comparing diseases, the difference in favor of bsDMARDs was significant in patients with RA only (p = 0.041). Citrated treatments displayed better retention compared to citrate-free treatments (p = 0.0137). Multivariable analysis of predictive factors for the cessation of treatment found shorter disease duration, boDMARD prescription, hospital practitioner prescription, late line of treatment, and female sex as significant. More side effects were observed with boDMARDs, especially more infections (17.8% vs. 7.8%).

Conclusion

Even if bsDMARDs' prescription increases over time, its penetration rate is still below expectations. bsDMARDs displayed better retention compared to boDMARDs, especially for ETN, and in patients with RA. Citrated treatments had better retention. Prescription by a full-time hospital-based rheumatologist is associated with poorer retention.

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.

What Factors Influence Treatment Effectiveness in Rheumatoid Arthritis: An Evidence-Based Approach to Multidimensional Measurement of Treatment Effectiveness

Purpose: The aim of the study was to examine the effects of socio-demographic characteristics, disease-related characteristics and health care use related-characteristics on the treatment effectiveness of rheumatoid arthritis patients, both separately and together. Methods: The sample of the study consisted of 440 rheumatoid arthritis patients for 99% confidence level, and this sample was reached based on the convenience sampling method. Patients who received at least one anti-TNF therapy were included in the study. Treatment effectiveness levels of rheumatoid arthritis patients were measured with a questionnaire. In the analysis of the study, four different regression models were established. In the first model, socio-demographic characteristics; in the second model, disease characteristics; in the third model, health care use characteristics: in the fourth model, the effect of all these variables on treatment effectiveness was examined. Results: In the study, smoking status, age (socio-demographic characteristics), drug regimen complexity, comorbidity status, education about the disease, disease duration (disease characteristics), and a number of admissions (health care use characteristics), were found to have a significant effect on treatment effectiveness. Conclusion: In the study, the factors affecting the treatment effectiveness were determined. Therefore, it is important to consider these factors revealed in this study in order to increase the treatment effectiveness in patients with rheumatoid arthritis.

Impact of multimorbidity on disease modifying anti-rheumatic drug therapy in early rheumatoid arthritis: data from the Espoir cohort

OBJECTIVE

Multimorbidity is frequent in rheumatoid arthritis (RA) and could interfere with the therapeutic response. The aim of this study was to evaluate multimorbidity in the French cohort of early arthritis, the ESPOIR cohort, and its possible impact on the therapeutic response.

METHODS

We included patients fulfilling 2010 ACR/EULAR criteria for RA. An adapted MultiMorbidity Index (aMMI) was developed. Each patient was assigned scores of binary aMMI (0= no comorbidity, 1= at least 1 comorbidity) and counted and weighted aMMI. The primary endpoint was achievement of Clinical Disease Activity Index (CDAI) low disease activity after initiation of a first disease-modifying anti-rheumatic drug (DMARD) according to the aMMI. We collected data from the visit preceding the first DMARD initiation and the visit after at least 3 months of treatment. The impact of aMMI on therapeutic maintenance at 1, 3, 5 and 10 years was evaluated.

RESULTS

Analyses involved 472 patients: 302 (64%) had at least 1 comorbidity. Overall, 45.3% and 44.7% with binary aMMI= 0 or 1, respectively (non significant), achieved CDAI low disease activity. Similar results were found with counted and weighted aMMI. Therapeutic maintenance was significantly better with binary aMMI = 1 than binary aMMI = 0 (OR at 10 years= 14.0 [CI 95% 3.3-59.4]). Increased counted aMMI was associated with increased probability of still being on the first initiated DMARD at each time point.

CONCLUSION

In the ESPOIR cohort, therapeutic response to a first DMARD was not affected by multimorbidity but therapeutic maintenance was better in multimorbid patients.

Comparison of Indexes to Measure Comorbidity Burden and Predict All-Cause Mortality in Rheumatoid Arthritis

Objectives: To examine the comorbidity burden in patients with rheumatoid arthritis (RA) patients using a nationwide population-based cohort by assessing the Charlson Comorbidity Index (CCI), Elixhauser Comorbidity Index (ECI), Multimorbidity Index (MMI), and Rheumatic Disease Comorbidity Index (RDCI) scores and to investigate their predictive ability for all-cause mortality. Methods: We identified 24,767 RA patients diagnosed from 1998 to 2008 in Taiwan and followed up until 31 December 2013. The incidence of comorbidities was estimated in three periods (before, during, and after the diagnostic period). The incidence rate ratios were calculated by comparing during vs. before and after vs. before the diagnostic period. One- and 5-year mortality rates were calculated and discriminated by low and high-score groups and modified models for each index. Results: The mean score at diagnosis was 0.8 in CCI, 2.8 in ECI, 0.7 in MMI, and 1.3 in RDCI, and annual percentage changes are 11.0%, 11.3%, 9.7%, and 6.8%, respectively. The incidence of any increase in the comorbidity index was significantly higher in the periods of “during” and “after” the RA diagnosis (incidence rate ratios for different indexes: 1.33–2.77). The mortality rate significantly differed between the high and low-score groups measured by each index (adjusted hazard ratios: 2.5–4.3 for different indexes). CCI was slightly better in the prediction of 1- and 5-year mortality rates. Conclusions: Comorbidities are common before and after RA diagnosis, and the rate of accumulation accelerates after RA diagnosis. All four comorbidity indexes are useful to measure the temporal changes and to predict mortality.

Tumor necrosis factor inhibitor (TNFi) persistence and reasons for discontinuation in a predominantly male cohort with axial spondyloarthritis

Although tumor necrosis factor inhibitors (TNFi) have favorably altered the treatment landscape for patients with axial spondyloarthritis (axSpA), there is limited data regarding TNFi persistence and reasons for discontinuation. This is an observational time-to-event study utilizing data collected for a prospective multiple-disease registry of US Veterans with axSpA treated with TNFi therapies and recruited over a 10 year period. Clinical, serological, and comorbid parameters were collected. Corporate Data Warehouse Pharmacy files provided courses of the 5 TNFi agents, and response to treatment was documented. Individual TNFi persistence was established utilizing univariate and multivariate Cox proportional models, and reasons for discontinuation were obtained by physician chart review. Two-hundred and fifty-five axSpA patients received 731 TNFi courses. A majority of patients (84.3%) had TNFi persistence at 12 months; 63.5% and 47.1% at 24 and 36 months, respectively. Compared to adalimumab, infliximab demonstrated greater persistence, certolizumab the least. Age, smoking status, BMI, comorbidity burden, inflammatory markers and HLA-B27 did not predict TNFi persistence or discontinuation. Stroke and peripheral arterial disease increased the probability of TNFi discontinuation. Secondary non-response (SNR) was the most common reason for discontinuation (46% of all courses); non-adherence (6%) and clinical remission (2%) were uncommon. Pain score at enrollment, myocardial infarction, African American race and inflammatory bowel disease (IBD) predicted TNFi response. While initial persistence of TNFi treatment was high, a large proportion of the patients discontinued initial TNFi therapy by 3 years, primarily due to loss of efficacy. While further research identifying potential predictors of TNFi discontinuation in axSpA is warranted, access to alternate disease-modifying therapies is needed.

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

OBJECTIVES

Rheumatoid arthritis (RA), psoriatic arthritis (PsA) and spondyloarthritis (SpA) are chronic inflammatory rheumatic conditions with high levels of comorbidity requiring additional therapeutic attention. We aimed to compare the 3-year comorbidity incidence and pain medication prescription in patients diagnosed with RA, PsA or SpA versus controls.

METHODS

Data between 1999 and 2012 were obtained from Intego, a general practitioner (GP) morbidity registry in Flanders, Belgium. Cases were identified by International Classification of Primary Care (ICPC-2) codes representing 'rheumatoid/seropositive arthritis (L88)' or 'musculoskeletal disease other (L99)'. The registered keywords mapped to these ICPC-2 codes were further verified and mapped to a RA/SpA/PsA diagnosis. Controls were matched on age, gender, GP practice and diagnosis date. We analysed the 3-year comorbidity burden in cases and controls, measured by the Rheumatic Diseases Comorbidity Index (RDCI). All electronically GP-prescribed drugs were registered.

RESULTS

In total, 738, 229 and 167 patients were included with a diagnosis of RA, SpA or PsA, respectively. Patients with RA or PsA had comparable median RDCI scores at baseline, but higher scores at year 3 compared with controls (RA: p=0.010; PsA: p=0.008). At baseline, depression was more prevalent in PsA patients vs controls (p<0.003). RA patients had a higher 3-year incidence of cardiovascular disease including myocardial infarction than controls (p<0.035). All disease population were given more prescriptions than controls for any pain medication type, even opioids excluding tramadol.

CONCLUSIONS

This study highlights the increasing comorbidity burden of patients with chronic inflammatory rheumatic conditions, especially for individuals with RA or PsA. The high opioid use in all populations was remarkable.

The use and context of the term 'multimorbidity' in rheumatoid arthritis: a systematic literature review

This systematic literature review aimed to analyse terms describing coexisting conditions in the RA literature, informing the need for an operationalized definition of multimorbidity. Articles discussing RA with multimorbidity, published 1946 until August 2020, were identified. The primary outcome was the use and/or definition of 'multimorbidity' in RA. Information extracted included terms defining coexisting conditions, the use of a comorbidity/multimorbidity score and the use of 'index disease' to describe RA (more applicable to comorbidity than multimorbidity). Thirty-nine articles were included. Eight articles used the term 'multimorbidity', 18 used 'comorbidity' and 12 used both terms, 7 synonymously. One used no term. Fourteen articles fully defined the term. The number of co-existing conditions described in included studies was one-121. Twelve articles used a comorbidity/multimorbidity score. Four articles described RA as the 'index disease'. Our results demonstrate inconsistent use of the term multimorbidity. Improved assessment of multimorbidity is indicated in RA patients, including an operationalized use and definition.

Clinical pharmacology of filgotinib in the treatment of rheumatoid arthritis: current insights

INTRODUCTION

Rheumatoid arthritis (RA) is a chronic autoimmune disease, whose natural course has been deeply modified thanks to the development of new therapeutic approaches. The Janus kinase inhibitors (Jakinibs) represent the newest class of drugs introduced for treating RA. Among these, Filgotinib (FIL) has been developed as Janus kinase1 (JAK1) selective inhibitor, specifically targeting key pro-inflammatory mediators in RA pathogenesis.

AREAS COVERED

This narrative review provides an overview on FIL as new therapeutic approach for RA, with focus on its pharmacological properties, clinical efficacy, and safety profile. The following electronic databases were adopted for the study search: PubMed, Google Scholar, ClinicalTrials.gov and Abstract archive from the American College of Rheumatology and the European Alliance of Associations for Rheumatology.

EXPERT OPINION

The phase II and phase III randomized controlled trials (RCTs) performed so far and their long-term extensions showed a comparable clinical efficacy of FIL to biologic treatments, with an acceptable safety profile. Thanks to these data, FIL was approved in Europe and Japan for the treatment of active RA, increasing the spectrum of therapeutic approaches and improving the possibility of a more tailored therapeutic strategy. Real-life data and head-to-head clinical trials will be needed to confirm its efficacy and safety.

Role of comorbidities on therapeutic persistence of biological agents in rheumatoid arthritis: results from the RECord-linkage On Rheumatic Disease study on administrative healthcare databases

Objectives: This study aimed to evaluate the impact of different comorbidities on thereflecting its safety profile persistence of biological disease-modifying anti-rheumatic drugs (bDMARDs) in rheumatoid arthritis (RA), taking advantage of a retrospective analysis of administrative healthcare databases (AHDs).Method: A retrospective observational study was conducted on AHDs of the Lombardy region, Italy (2004-2013). Among RA patients treated with bDMARDs, drug survival was estimated using Cox proportional hazard models [hazard ratio (HR), 95% confidence interval (CI)], crude and adjusted for prespecified confounders (gender, age, disease duration, concomitant use of non-steroidal anti-inflammatory drugs, glucocorticoids, conventional DMARDs, specific bDMARDs), in first-line and subsequent lines of treatment. The role of comorbidities in administration of specific bDMARDs was analysed through multinomial logistic models.Results: The study included 4657 RA patients. In the first-line treatment strategy, the Charlson Comorbidity Index (CCI) (RA excluded) was significantly associated with an increased rate of bDMARD failure (CCI = 1: HR 1.28, 95% CI 1.13-1.46; CCI ≥ 2: HR 1.26, 95% CI 1.03-1.53). Among selected comorbidities, chronic obstructive pulmonary disease (HR 1.38, 95% CI 1.01-1.91), diabetes (HR 1.18, 95% CI 1.01-1.37), and previous-year bacterial infections (HR 1.18, 95% CI 1.07-1.30) were slightly associated with risk of bDMARD failure, while acute myocardial infarction (HR 1.30, 95% CI 0.97-1.75), mild liver disease (HR 1.21, 95% CI 0.91-1.60), and solid tumours (HR 1.19, 95% CI 0.93-1.53) were not. In the following treatment lines, neoplasms were associated with reduced risk of failure (HR 0.64, 95% CI 0.41-0.99). Multiple comorbidities were associated with first-line abatacept and rituximab administration.Conclusions: Comorbidities affect treatment decisions in RA and influence bDMARD failure, and should be considered when analysing the persistence of biological therapy.

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.

Understanding the Role of Interleukin-6 (IL-6) in the Joint and Beyond: A Comprehensive Review of IL-6 Inhibition for the Management of Rheumatoid Arthritis

Rheumatoid arthritis (RA) is a chronic, debilitating autoimmune disorder involving inflammation and progressive destruction of the joints, affecting up to 1% of the population. The majority of patients with RA have one or more comorbid conditions, the most common being cardiovascular disease, osteoporosis, and depression, the presence of which are associated with poorer clinical outcomes and lower health-related quality of life. RA pathogenesis is driven by a complex network of proinflammatory cells and cytokines, and of these, interleukin-6 (IL-6) plays a key role in the chronic inflammation associated with RA. Through cell signaling that can be initiated by both membrane-bound and soluble forms of its receptor, IL-6 acts both locally to promote joint inflammation and destruction, and in the circulation to mediate extra-articular manifestations of RA, including pain, fatigue, morning stiffness, anemia, and weight loss. This narrative review describes the role of IL-6 in the pathogenesis of RA, its comorbidities, and extra-articular systemic manifestations, and examines the effects of the IL-6 receptor inhibitors sarilumab and tocilizumab on clinical endpoints of RA, patient-reported outcomes, and common comorbidities and extra-articular manifestations.

Prevalence and pattern of comorbidities in chronic rheumatic and musculoskeletal diseases: the COMORD study

Increased risk of comorbidities has been reported in Rheumatic and Musculoskeletal Diseases (RMD). We aimed to evaluate the prevalence and pattern of comorbidities in RMD patients nationwide, to identify multimorbidity clusters and to evaluate the gap between recommendations and real screening. Cross-sectional, multicentric nationwide study. Prevalence of comorbidities was calculated according to six EULAR axes. Latent Class Analysis identified multimorbidity clusters. Comorbidities' screening was compared to international and local recommendations. In 769 patients (307 RA, 213 OA, 63 SLE, 103 axSpA, and 83 pSA), the most frequent comorbidities were cardiovascular risk factors and diseases (CVRFD) (hypertension 36.5%, hypercholesterolemia 30.7%, obesity 22.7%, smoking 22.1%, diabetes 10.4%, myocardial infarction 6.6%), osteoporosis (20.7%) and depression (18.1%). Three clusters of multimorbidity were identified: OA, RA and axSpA. The most optimal screening was found for CVRF (> = 93%) and osteoporosis (53%). For malignancies, mammograms were the most optimally prescribed (56%) followed by pap smears (32%) and colonoscopy (21%). Optimal influenza and pneumococcus vaccination were found in 22% and 17%, respectively. Comorbidities were prevalent in RMD and followed specific multimorbidity patterns. Optimal screening was adequate for CVRFD but suboptimal for malignant neoplasms, osteoporosis, and vaccination. The current study identified health priorities, serving as a framework for the implementation of future comorbidity management standardized programs, led by the rheumatologist and coordinated by specialized health care professionals.

Comorbidity burden and clinical characteristics of patients with difficult-to-control rheumatoid arthritis

INTRODUCTION

Difficult-to-treat rheumatoid arthritis (RA) is a significant clinical problem despite no clear definition. We aimed to provide clinical characteristics and associated comorbidities of RA patients in relation to disease control.

METHODS

RA characteristics and physician-recorded comorbidities were analyzed in a sample of 1937 RA patients. Patients treated for RA for 5.2 y (IQR, 2.1-11.3) were classified as difficult-to-control when presenting with DAS28-ESR > 3.2 despite previous use of at least 2 csDMARDs. A comparison of demographic and RA-related characteristics between difficult-to-treat and low disease activity patients (DAS28-ESR ≤ 3.2) was performed. Comorbidity burden was assessed by calculating Rheumatic Diseases Comorbidity Index (RDCI). Logistic regression model was constructed for difficult-to-control disease.

RESULTS

Hypertension (46.9% (95%CI, 44.7-49.2)), coronary artery disease (CAD) (18.5% (95%CI, 16.8-20.3)), and diabetes (14.4% (95%CI, 12.9-16.0)) were the most prevalent conditions in RA patients. When compared with the adequate control group, difficult-to-control patients were increasingly burdened with hypertension (52.7% (95%CI, 47.5-57.8) vs. 42.0% (95%CI, 36.6-47.6); p = 0.006), cardiovascular diseases (24.2% (95%CI, 20.1-28.9) vs. 11.1% (95%CI, 8.0-15.1); p < 0.001), respiratory system diseases (7.0% (95%CI, 4.8-10.2) vs. 3.3% (95%CI, 1.8-5.9); p = 0.03) and gastroduodenal ulcers (2.3% (95%CI, 1.2-4.4) vs. 0.3% (95%CI, 0.1-1.8); p = 0.04). Patients with higher RDCI had lower chance to obtain low disease activity (OR 0.69 (95%CI, 0.61-0.79); p < 0.001). In multivariate analysis, RDCI was independently associated with difficult-to-control disease (OR 1.46 (95%CI, 1.21-1.76); p < 0.001).

CONCLUSIONS

RA patients suffer from a variety of comorbidities. Cardiovascular and respiratory system diseases occur twice as often in difficult-to-control patients. RDCI may provide a valuable tool in evaluating a risk for difficult-to-control RA. Key Points • Hypertension, coronary artery disease and diabetes are the most prevalent comorbidities in rheumatoid arthritis. • Cardiovascular and respiratory tract diseases as well as gastroduodenal ulcers are more common among difficult-to-control patients, when compared with subjects with adequately controlled RA. • Rheumatic Diseases Comorbidity Index is an independent predictor for difficult-to-control RA.