Abatacept and non-melanoma skin cancer in patients with rheumatoid arthritis: a comprehensive evaluation of randomised controlled trials and observational studies.

OBJECTIVES: This study aims to evaluate non-melanoma skin cancer (NMSC) risk associated with abatacept treatment for rheumatoid arthritis (RA). METHODS: This evaluation included 16 abatacept RA clinical trials and 6 observational studies. NMSC incidence rates (IRs)/1000 patient-years (p-y) of exposure were compared between patients treated with abatacept versus placebo, conventional synthetic (cs) disease-modifying antirheumatic drugs (DMARDs) and other biological/targeted synthetic (b/ts)DMARDs. For observational studies, a random-effects model was used to pool rate ratios (RRs). RESULTS: ~49 000 patients receiving abatacept were analysed from clinical trials (~7000) and observational studies (~42 000). In randomised trials (n=4138; median abatacept exposure, 12 (range 2-30) months), NMSC IRs (95% CIs) were not significantly different for abatacept (6.0 (3.3 to 10.0)) and placebo (4.0 (1.3 to 9.3)) and remained stable throughout the long-term, open-label period (median cumulative exposure, 28 (range 2-130 months); 21 335 p-y of exposure (7044 patients over 3 years)). For registry databases, NMSC IRs/1000 p-y were 5-12 (abatacept), 1.6-10 (csDMARDs) and 3-8 (other b/tsDMARDs). Claims database IRs were 19-22 (abatacept), 15-18 (csDMARDs) and 14-17 (other b/tsDMARDs). Pooled RRs (95% CIs) from observational studies for NMSC in patients receiving abatacept were 1.84 (1.00 to 3.37) vs csDMARDs and 1.11 (0.98 to 1.26) vs other b/tsDMARDs. CONCLUSIONS: Consistent with the warnings and precautions of the abatacept label, this analysis suggests a potential increase in NMSC risk with abatacept use compared with csDMARDs. No significant increase was observed compared with b/tsDMARDs, but the lower limit of the 95% CI was close to unity.

Opioid Use and Healthcare Utilization in Adults With Psoriatic Arthritis and Ankylosing Spondylitis.

OBJECTIVE: Opioid use among individuals with spondyloarthritis is common; however, data on whether these individuals have higher utilization of the healthcare system are lacking. We examined the association between opioid use and healthcare utilization and costs among patients with psoriatic arthritis (PsA) and ankylosing spondylitis (AS). METHODS: We included adults with PsA or AS enrolled in the FORWARD registry, with ≥ 1 completed disease activity or disability questionnaire between 2010 and 2019. The exposure was patient-reported opioid use, and the outcomes were annualized healthcare utilization and prescription costs. We used negative binomial regression to assess the association between opioid use and the utilization outcomes, and generalized linear models with γ-distribution and log link function for the association between opioid use and costs. Models were adjusted for age, sex, and hospitalization. AS and PsA were studied separately. RESULTS: Among 828 patients with PsA, 21.4% used opioids; for those with AS, 27.2% of 334 patients reported opioid use. Opioid users had higher healthcare utilization and costs, including increased medical visits, diagnostic tests, direct medical costs, and pharmacy expenses. Opioid users had 32-33% more medical visits annually vs nonusers. Patients using opioids spent more on medical visits annually compared to nonusers (US $3464 vs $2706 for PsA; US $4500 vs $3660 for AS). CONCLUSION: Compared to patients not using opioids, patients with PsA and AS who used opioids had higher healthcare utilization and higher health-related costs. New care pathways are needed to improve care and reduce costs.

Major adverse cardiovascular events and mortality with opioids versus NSAIDs initiation in patients with rheumatoid arthritis.

OBJECTIVE: Assess major adverse cardiovascular event (MACE) risk with opioids compared with non-steroidal anti-inflammatory drugs (NSAIDs) in patients with rheumatoid arthritis (RA) METHODS: We conducted a new-user active comparator cohort study among patients with RA within FORWARD, The National Databank for Rheumatic Diseases, with ≥1 year participation between 1998 and 2021. Each opioid initiator was matched to two NSAID initiators by propensity scores (PSs). Patients were followed until the occurrence of the composite endpoint of MACE (myocardial infarction, stroke, heart failure, cardiovascular disease (CVD) death, venous thromboembolism (VTE)) and all-cause mortality. The risk of outcomes was estimated using Cox proportional hazards with adjustment for PS weights and imbalanced covariables. RESULTS: Among 6866 opioid initiators and 13 689 NSAID initiators, 212 vs 253 MACE (20.6/1000 person-years (PY) vs 18.9/1000 PY) and 144 vs 150 deaths (13.5/1000 PY vs 10.8/1000 PY) occurred, respectively. The risk of MACE with opioids was similar to NSAIDs (HR=1.02, 95% CI 0.85 to 1.22), whereas all-cause mortality with opioids was 33% higher than NSAIDs (HR=1.33, 95% CI 1.06 to 1.67) in PS-weighted models. Among the individual outcomes of MACE, VTE risk tended to be higher in opioid initiators than NSAID initiators (HR=1.41, 95% CI 0.84 to 2.35). Strong opioids had a higher risk for all-cause mortality and VTE than weak opioids compared with NSAIDs suggesting a dose-dependent association. CONCLUSION: Opioids had similar MACE risk compared with NSAIDs in patients with RA with increased all-cause mortality and likely VTE, which suggests that opioids are not safer than NSAIDs, as clinicians have perceived.

Smartphone-based behavioral monitoring and patient-reported outcomes in adults with rheumatic and musculoskeletal disease.

BACKGROUND: Rheumatic and musculoskeletal diseases (RMD) are associated with depression, fatigue, and disturbed sleep - symptoms that often impact behavior and activity. Patient reported outcomes (PROs) are a way of collecting information on the patient symptom experience directly from the individual. The purpose of this study was to measure and compare user smartphone sensor and activity data in adults with RMDs and assess associations with PROs. METHODS: We invited adults with RMDs enrolled in the FORWARD Databank to participate by installing a custom app on their smartphone and answering PROs (pain, global, HAQ-II) questions daily and weekly over 3 years. Passive data collected included mobility distance, unique calls and text messages, call durations, and number of missed calls. Confounders included sociodemographic, clinical, passive phone behavior, and seasonal factors. Kappa statistics between PRO and flares were computed to measure agreement. The agreement between daily and weekly VAS pain was estimated using the intraclass (ICC) correlation of a two-way random effect model. The relationship between the weekly PRO outcomes and the passive phone data was analyzed with a linear mixed-effect model (LMM), including a random intercept for participant and slope for time in the study with an unstructured covariate structure. RESULTS: Of the 446 participants, the mean (SD) age was 54 (12) years, most (65.5%) had rheumatoid arthritis (RA), the vast majority (91%) were female, and the US Northeast has the least representation (12%). Longer reaction times, interaction diversity, and higher mobility were associated with worse PROs while longer text messages were associated with better PROs. Participants in this study showed good levels of adherence which holds promise for future interventions using passive behavior measures in self-management and clinical follow-up. CONCLUSION: This is the first study to examine passive smartphone behavior with PROs in RMDs and we found significant associations between these behaviors and important health outcomes of pain and function. As smartphone usage continues to change, future studies should validate and expand on our findings with a goal of finding changes in patient symptoms passively through mobile device monitoring.

Medications associated with fracture risk in patients with rheumatoid arthritis.

OBJECTIVE: To examine the fracture risk with use of disease-modifying antirheumatic drugs (DMARDs), statins, proton pump inhibitors (PPIs), opioids, non-opioid analgesics and psychotropic medications in a US-wide observational rheumatoid arthritis (RA) cohort. METHODS: Patients with RA without prior fracture from 2001 through 2017 in FORWARD, a longitudinal observational registry, were assessed for osteoporosis-related site fractures (vertebra, hip, forearm and humerus). DMARD exposure was assessed in four mutually exclusive groups: (1) methotrexate monotherapy-reference, (2) tumour necrosis factor-α inhibitors (TNFi), (3) non-TNFi biologics and (4) others. Non-DMARDs and glucocorticoids were classified as current/ever use and based on treatment duration. Fracture Risk Assessment Tool (FRAX) scores estimating for 10-year major osteoporotic fractures were calculated. Cox proportional hazard models stratified by FRAX were used to adjust for confounders. RESULTS: During median (IQR) 3.0 (1.5-6.0) years of follow-up in 11 412 patients, 914 fractures were observed. The adjusted models showed a significant fracture risk increase with use of any dose glucocorticoids ≥3 months (HR (95% CI) for <7.5 mg/day 1.26 (1.07 to 1.48) and for ≥7.5 mg/day 1.57 (1.27 to 1.94)), opioids (for weak: 1.37 (1.18 to 1.59); strong: 1.53 (1.24 to 1.88)) and selective serotonin reuptake inhibitors (SSRIs) (1.37 (1.15 to 1.63)). Fracture risk with opioids increased within 1 month of use (1.66 (1.36 to 2.04)) and with SSRIs >3 months of use (1.25 (1.01 to 1.55)). Statins (0.77 (0.62 to 0.96)) and TNFi (0.72 (0.54 to 0.97)) were associated with reduction in vertebral fracture risk only. PPIs and other psychotropic medications were not associated with increased fracture risk. CONCLUSION: Use of opioids, SSRIs and glucocorticoids were associated with increased risk of any fracture in patients with RA, whereas statins and TNFi were associated with decreased vertebral fractures.

The impact of menopause on functional status in women with rheumatoid arthritis.

Objective: The aim of this study was to investigate the association of menopause with functional status outcomes in women with RA. Methods: Participants were women in a US-wide observational cohort who developed RA before menopause. The HAQ measured functional status. We controlled for confounding variables and used univariate and multivariable generalized estimating equation methods with the sandwich estimator of variance. Best models were selected using the quasi-likelihood under the independence model criterion. A sensitivity analysis was performed using linear mixed effects regression models. Results: A total of 8189 women were eligible. Of these, 2005 (24.5%) were pre-menopausal, 611 (7.5%) transitioned through menopause during the study, and 5573 (68.1%) were post-menopausal. Within each respective group, the mean (s.d.) ages were 39.7 (7.8), 50.7 (3.4) and 62.3 (9.3) years. Our results showed that women who were pre-menopausal had less functional decline as measured by the HAQ compared with women who were post-menopausal; these results were robust and strong even after adjustment for other significant factors. The ever-use of hormonal replacement therapy, ever having a pregnancy, and longer length of reproductive life were associated with less functional decline. After menopause, the trajectory of functional decline worsened and accelerated in women with RA. Conclusion: The results suggest that menopausal status is associated with functional decline in women with RA. Furthermore, menopause is associated with a worsening progression of functional decline. These data indicate that menopause has a significant impact on the level and rate of functional decline in women with RA.

Risk of diabetes mellitus associated with disease-modifying antirheumatic drugs and statins in rheumatoid arthritis.

OBJECTIVE: To investigate the rate of incident diabetes mellitus (DM) in patients with rheumatoid arthritis (RA) and the impact of disease-modifying antirheumatic drug (DMARD) and statin treatments. METHODS: We studied patients with RA and ≥1 year participation in the National Data Bank for Rheumatic Diseases without baseline DM from 2000 through 2014. DM was determined by self-report or initiating DM medication. DMARDs were categorised into four mutually exclusive groups: (1) methotrexate monotherapy (reference); (2) any abatacept with or without synthetic DMARDs (3) any other DMARDs with methotrexate; (4) all other DMARDs without methotrexate; along with separate statin, glucocorticoid and hydroxychloroquine (yes/no) variables. Time-varying Cox proportional hazard models were used to adjust for age, sex, socioeconomic status, comorbidities, body mass index and RA severity measures. RESULTS: During a median (IQR) 4.6 (2.5-8.8) years of follow-up in 13 669 patients with RA, 1139 incident DM cases were observed. The standardised incidence ratio (95% CI) of DM in patients with RA (1.37, (1.29 to 1.45)) was increased compared with US adult population. Adjusted HR (95% CI) for DM were 0.67 (0.57 to 0.80) for hydroxychloroquine, 0.52 (0.31 to 0.89) for abatacept (compared with methotrexate monotherapy), 1.31 (1.15 to 1.49) for glucocorticoids and 1.56 (1.36 to 1.78) for statins. Other synthetic/biological DMARDs were not associated with any risk change. Concomitant use of glucocorticoids did not alter DM risk reduction with hydroxychloroquine (HR 0.69 (0.51 to 0.93)). CONCLUSIONS: In RA, incidence of DM is increased. Hydroxychloroquine and abatacept were associated with decreased risk of DM, and glucocorticoids and statins with increased risk.

Treatment Adherence and Adherence Patterns of Tofacitinib and Self-Injectable TNFi Use in People with Rheumatoid Arthritis.

OBJECTIVE: To assess tofacitinib and self-injectable tumor necrosis factor inhibitor (TNFi) adherence using the Medication Event Monitoring System (MEMS) and characterize association with adherence in patients with rheumatoid arthritis (RA). METHODS: Eligible patients were enrolled from the Forward Databank within 6 months of initiating tofacitinib or injectable TNFi or from participating clinics where these were first prescribed. MEMS caps and patient diaries were used to compile dosing over 9 months. Demographics and disease characteristics were collected every 6 months, and the Beliefs about Medicines Questionnaire only at baseline. Adherence along with its components, initiation, implementation, and persistence, were calculated. RESULTS: Of the 112 consented to participate, 82 (73%) remained in the final analysis with recruitment from clinics 47 (57%) and Forward 35 (43%). Sixty-two (76%) initiated tofacitinib with 87% taking it quaque die and twenty (24%) TNFi. At 9 months, 77% of tofacitinib were persistent versus 70% for TNFi (P = 0.65), and implementation was similar (0.84 vs. 0.82; P = 0.57). In multivariable models, increased baseline patient global assessment was consistently associated with discontinuation (hazard ratio 1.31 [1.07-1.61]). There was increased adherence to methotrexate (MTX) when taking tofacitinib that led to higher combined adherence for tofacitinib than TNFi (0.81 vs. 0.69; P = 0.03), but no significant differences remained in multivariable models. In sensitivity analysis, consistent morning intake for tofacitinib and evening intake for MTX was associated with improved adherence. CONCLUSION: We found no statistical differences in adherence between patients with RA initiating tofacitinib and self-injectable TNFi, although 15% to 30% were nonadherent. Concomitant MTX, patient global assessment, and a consistent time of day intake were associated with adherence.

The Burden of Glucocorticoids: Patterns of Use, Adverse Health Conditions, and Health Care Use in Two Cohorts With Systemic Lupus Erythematosus.

OBJECTIVE: Glucocorticoids (GCs) can be beneficial from both clinical and patient perspectives, but side effects are well documented. We examined patterns of GC use over 15 years (2006-2021) and occurrence of adverse health conditions (AHCs) and health care use by GC exposure in two longitudinal cohorts with systemic lupus erythematosus (SLE). METHODS: Data from the Lupus Outcomes Study (LOS; 2003-2015) and FORWARD cohort (2015-2021) were used. AHCs examined were diabetes, osteoporosis, nontraumatic fractures, cataracts, and infections. Health care use measures examined were the number of rheumatology and other provider visits, hospitalizations, and specific diagnostic tests. Kaplan-Meier analyses examined time to occurrence of each AHC. Cox regression analyses estimated the risk of occurrence of AHCs, controlling for covariates by GC use and by GC dose (0, 1-5, 5-7.5, and ≥7.5 mg). RESULTS: GC use was relatively consistent over time. At baseline, individuals who used GCs in the LOS were more likely to report osteoporosis (adjusted odds ratio [aOR] 1.7, 95% confidence interval [CI] 1.2-2.6) and cataracts (aOR 1.6, 95% CI 1.04-2.6); individuals who used GCs in the FORWARD cohort were more likely to report diabetes (aOR 5.1, 95% CI 2.2-12.0), osteoporosis (aOR 4.5, 95% CI 2.6-8.0), and fractures (aOR 6.5, 95% CI 3.8-11.1). Individuals who used high doses of GCs in the LOS had greater incidence of osteoporosis, fracture, and cataracts. In the FORWARD cohort, a significant difference in incidence was noted only for infections. In both cohorts, individuals who used GCs had more rheumatology and other physician visits, and greater risk of hospitalization. CONCLUSION: Despite recommendations on steroid sparing, a large portion of people with SLE appear to remain on steroids. These analyses provide additional evidence of the potential health and health care burden of GC use, underscoring the need for other effective treatments for individuals with SLE.

Malignancy outcomes in patients with rheumatoid arthritis treated with abatacept and other disease-modifying antirheumatic drugs: Results from a 10-year international post-marketing study.

OBJECTIVE: To evaluate the risk of malignancy (overall, breast, lung, and lymphoma) in patients with rheumatoid arthritis treated with abatacept, conventional synthetic (cs) disease-modifying antirheumatic drugs (DMARDs), and other biologic/targeted synthetic (b/ts)DMARDs in clinical practice. METHODS: Four international observational data sources were included: ARTIS (Sweden), RABBIT (Germany), FORWARD (USA), and BC (Canada). Crude incidence rates (IRs) per 1000 patient-years of exposure with 95% confidence intervals (CIs) for a malignancy event were calculated; rate ratios (RRs) were estimated and adjusted for demographics, comorbidities, and other potential confounders. RRs were then pooled in a random-effects model. RESULTS: Across data sources, mean follow-up for patients treated with abatacept (n = 5182), csDMARDs (n = 73,755), and other b/tsDMARDs (n = 37,195) was 3.0-3.7, 2.9-6.2, and 3.1-4.7 years, respectively. IRs per 1000 patient-years for overall malignancy ranged from 7.6-11.4 (abatacept), 8.6-13.2 (csDMARDs), and 5.0-11.8 (other b/tsDMARDs). IRs ranged from: 0-4.4, 0-3.3, and 0-2.5 (breast cancer); 0.1-2.8, 0-3.7, and 0.2-2.9 (lung cancer); and 0-1.1, 0-0.9, and 0-0.6 (lymphoma), respectively, for the three treatment groups. The numbers of individual cancers (breast, lung, and lymphoma) in some registries were low; RRs were not available. There were a few cases of lymphoma in some of the registries; ARTIS observed an RR of 2.8 (95% CI 1.1-6.8) with abatacept versus csDMARDs. The pooled RRs (95% CIs) for overall malignancy with abatacept were 1.1 (0.8-1.5) versus csDMARDs and 1.0 (0.8-1.3) versus b/tsDMARDs. CONCLUSIONS: This international, post-marketing observational safety study did not find any statistically significant increase in the risk of overall malignancies in pooled data in patients treated with abatacept compared with csDMARDs or with other b/tsDMARDs. Assessment of larger populations is needed to further evaluate the risks for individual cancers, especially lymphoma.

Infection outcomes in patients with rheumatoid arthritis treated with abatacept and other disease-modifying antirheumatic drugs: Results from a 10-year international post-marketing study.

OBJECTIVE: To evaluate risk of infections requiring hospitalization and opportunistic infections, including tuberculosis, in patients with rheumatoid arthritis (RA) treated with abatacept versus conventional synthetic (cs) disease-modifying antirheumatic drugs (DMARDs) and other biologic/targeted synthetic (b/ts) DMARDs. METHODS: Five international observational data sources were used: two biologic registries (Sweden, Germany), a disease registry (USA) and two healthcare claims databases (Canada, USA). Crude incidence rates (IRs) per 1000 patient-years, with 95 % CIs, were used to estimate rate ratios (RRs) comparing abatacept versus csDMARDs or other b/tsDMARDs. RRs were adjusted for demographic factors, comorbidities, and other potential confounders and then pooled across data sources using a random effects model (REM). RESULTS: The data sources included 6450 abatacept users, 136,636 csDMARD users and 54,378 other b/tsDMARD users, with a mean follow-up range of 2.2-6.2 years. Across data sources, the IRs for infections requiring hospitalization ranged from 16 to 56 for abatacept, 19-46 for csDMARDs, and 18-40 for other b/tsDMARDs. IRs for opportunistic infections were 0.4-7.8, 0.3-4.3, and 0.5-3.8; IRs for tuberculosis were 0.0-8.4, 0.0-6.0, and 0.0-6.3, respectively. The pooled adjusted RR (95 % CI), only reported for infections requiring hospitalization, was 1.2 (0.6-2.2) for abatacept versus csDMARDs and 0.9 (0.6-1.3) versus other b/tsDMARDs. CONCLUSIONS: Data from this international, observational study showed similar hospitalized infection risk for abatacept versus csDMARDs or other b/tsDMARDs. IRs for opportunistic infections, including tuberculosis, were low. These data are consistent with the known safety profile of abatacept.

Sleep Disorders Among Individuals With Rheumatoid Arthritis.

OBJECTIVE: Self-reported sleep problems are common in rheumatoid arthritis (RA), with potential negative health implications, yet relatively little research has focused on sleep in RA. We examined the prevalence of obstructive sleep apnea (OSA) risk, restless legs syndrome (RLS) symptoms, and short sleep (SS) in a large RA cohort (n = 4,200) and factors associated with each. METHODS: Data are from FORWARD, The National Databank for Rheumatic Diseases. Validated screening measures assessed OSA risk and RLS symptoms. SS was based on self-reported average sleep time (<6 hours). The Medical Outcomes Study Sleep Problems Index I measured self-reported sleep quality. Multivariable logistic regression models identified independent predictors of sleep disorders and sleep quality and the independent association of OSA risk, RLS symptoms, and SS with self-reported poor sleep quality. RESULTS: Twenty-one percent (n = 899) had OSA diagnosis or risk, 30% (n = 1,272) had RLS symptoms or diagnosis, and 43% (n = 1,737) reported SS, and RA disease activity was associated with each sleep disorder. Abatacept use was associated with lower odds of RLS and SS. Use of conventional disease-modifying antirheumatic drugs or abatacept was less frequent in the SS group. No medications were associated with OSA in multivariable analyses. Both RLS and SS was associated with worse perceived sleep quality. DISCUSSION: Almost two-thirds met criteria for at least one sleep disorder. RA disease activity and pain were significantly associated with each sleep condition. Additional research is needed to identify the causal pathway between sleep disorders and RA disease activity and pain and the long-term consequences of sleep disorders in RA.

Urban and Rural Patterns of Health Care Utilization Among People With Rheumatoid Arthritis and Osteoarthritis in a Large US Patient Registry.

OBJECTIVE: Rural residence has been associated with health disparities in rheumatic diseases and other chronic conditions in the United States. This study aimed to determine if a relationship exists between geographic residence and health care utilization outcomes for people with rheumatoid arthritis (RA) and osteoarthritis (OA) in a US-wide rheumatic disease registry. METHODS: Participants were in FORWARD, The National Databank for Rheumatic Diseases, a US-wide rheumatic disease longitudinal cohort completing questionnaires between 1999 and 2019. Health care utilization variables (ie, medical visits and diagnostic tests) from six-month questionnaires were analyzed by geographic categories (small rural/isolated, large rural, and urban). Double selection LASSO with Poisson regression was used to assess the best model when examining the association between health care utilization variables and geographic residence. RESULTS: Among 37,802 participants with RA, urban residents were more likely than small rural residents to use in-person health care by most measures including physician visits and diagnostic tests. Urban residents reported more rheumatologist visits (incidence rate ratio [IRR], 1.22; 95% confidence interval [95% CI], 1.18-1.27) but fewer primary care visits (IRR 0.90; 95% CI 0.85-0.94). Among 8,248 participants with OA, urban residents were also more likely than rural residents to report health care utilization by most measures. CONCLUSION: Individuals residing in urban areas were more likely than those in rural areas to report in-person health care utilization. Specifically, urban residents with RA were more likely to report rheumatologist visits, but less likely to report primary care visits. Less disparity existed in OA health care utilization, although an urban-rural disparity still existed by most measures.

Reduction of Cardiovascular Disease and Mortality Versus Risk of New-Onset Diabetes Mellitus With Statin Use in Patients With Rheumatoid Arthritis.

OBJECTIVE: To assess the effect of statin use on the risk of cardiovascular disease (CVD), all-cause mortality, and type 2 diabetes mellitus (DM) in patients with rheumatoid arthritis (RA). METHODS: We identified a cohort of patients with RA between 1989 and 2018, within the UK Clinical Practice Research Datalink. We employed a prevalent new-user cohort design by which patients initiating statins were each matched to 2 concurrent nonusers by the time-conditional propensity score (TCPS). Patients were followed until the occurrence of the composite end point of myocardial infarction, stroke, hospitalized heart failure or CVD mortality, all-cause mortality, and incident type 2 DM. The Cox proportional hazards model was used to estimate the hazard ratio (HR) of each outcome associated with as-treated statin use, with adjustment for TCPS deciles and imbalanced covariables. RESULTS: Among 1,768 statin initiators and 3,528 nonusers, 63 versus 340 CVD (3.0 per 100 person-years versus 2.7 per 100 person-years) and 62 versus 525 deaths (2.8 per 100 person-years versus 4.1 per 100 person-years) occurred. Incident type 2 DM was noted in 128 of 3,608 statin initiators (3.0 per 100 person-years) and 518 of 7,208 nonusers (2.0 per 100 person-years). Statin initiation was associated with 32% (HR 0.68 [95% confidence interval (95% CI) 0.51-0.90]) reduction in CVD, 54% (HR 0.46 [95% CI 0.35-0.60]) reduction in all-cause mortality, and 33% increase in type 2 DM (HR 1.33 [95% CI 1.09-1.63]). The number needed to treat/number needed to harm to prevent a CVD or all-cause mortality or to cause type 2 DM in 1 year was 102, 42, and 127, respectively. CONCLUSION: Statins are associated with important reductions in CVD and mortality that outweigh the modest increase in type 2 DM risk in RA patients.

Physical Activity Habits Among Older Adults Living With Rheumatic Disease.

OBJECTIVE: To describe levels of physical activity (PA) in older adults with rheumatic and musculoskeletal diseases (RMDs) and study the association between PA level and patient-reported outcomes. METHODS: Using data from FORWARD, a cross-sectional analysis was performed among adults aged 65 years and older with RMDs to assess the levels of PA. PA was categorized as high (vigorously active for at least 30 minutes, 3 times per week), moderate (moderately active for at least 3 times per week) or low (seldom active). We assessed the self-reported levels of PA among patients with different types of RMDs and assessed the association between levels of PA and PROs, including the 29-item Patient Reported Outcomes Measurement Information System (PROMIS-29) assessment. RESULTS: Among the 3343 eligible participants, rheumatoid arthritis (68%) was the most common RMD. High PA was reported by 457 (13.6%) participants, and 1820 (54.4%) reported moderate activity. Overall, participants reported a median of 7 (IQR 0-15) days of moderate to vigorous level of PA for ≥ 30 min per month. Obese participants were significantly more likely to report low levels of activity (44% of obese compared to 25% of nonobese individuals). Participants with low PA levels had higher (worse) pain scores, higher (worse) Health Assessment Questionnaire-Disability Index scores, higher depression rates, and worse PROMIS-29 scores related to pain, sleep and fatigue. CONCLUSION: Among patients with RMDs, levels of high PA were relatively low among older patients. These observations, though descriptive, support a relationship between physical inactivity and obesity, depression, poor sleep, and fatigue in patients with RMDs.

Obesity, Adipokines, and Chronic and Persistent Pain in Rheumatoid Arthritis.

We aimed to determine whether adipokines are associated with pain and polysymptomatic distress in patients with rheumatoid arthritis (RA) over time in a large patient registry. The cohort study was conducted in a subset of Forward; a patient-based multi-disease, multipurpose rheumatic disease registry with patients enrolled from community-based rheumatology practices across the U.S. Adipokines (adiponectin, leptin, and fibroblast growth factor[FGF]-21) were measured on stored serum as part of a multi-analyte panel. Body mass index (BMI), pain, polysymptomatic distress, and other patient-reported outcomes (PROs) were reported on biannual questionnaires. Linear regression was used to evaluate independent associations between BMI, adipokines, and PROs. Cox proportional hazards models evaluated independent associations between adipokines and clinically meaningful changes in pain over time (change in numerical rating>1.1 [range 0-10], sustained over 1 year). Among 645 patients included in these analyses, there were significant differences in RA characteristics, comorbidity, PROs, and adipokines across obesity categories. Of note, severely obese patients were more likely to experience greater pain, polysymptomatic distress, and fatigue. Patients with higher FGF-21 levels had higher pain and polysymptomatic stress at baseline, were more likely to use opioids, and were more likely to have sustained worsening pain over time [HR (per 1 SD) (95% CI): 1.22 (1.02,1.46) P = .03] independent of BMI. Obesity and elevated levels of FGF-21 are associated with pain and polysymptomatic distress in RA. Elevated FGF-21 levels may help identify those at risk of worsening pain trajectories over time, independent of BMI. PERSPECTIVE: This study characterizes the relationship between severe obesity and pain and polysymptomatic distress in patients with rheumatoid arthritis and demonstrates that the adipocytokine fibroblast growth factor-21 is independently associated with pain and predicts a worsening trajectory over time. Further mechanistic studies are needed.

Association of health care utilization and costs with patient-reported outcomes in patients with ankylosing spondylitis.

BACKGROUND: Interventions for ankylosing spondylitis (AS) have improved patient-reported outcomes (PROs) in clinical studies. However, limited data exist associating these improvements with health care resource utilization (HCRU) or cost savings. Few studies have evaluated the economic impact of patient-reported physical status and related disease burden in patients with AS in the United States. OBJECTIVE: To assess the association of PRO measures with HCRU and health care costs in patients with AS from a national US registry. METHODS: This cohort study included adults with a diagnosis of AS enrolled in the FORWARD registry from July 2009 to June 2019 who completed at least 1 questionnaire from January 2010 to December 2019 and completed the Health Assessment Questionnaire Disability Index (HAQ-DI) (0-3) and/or Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) (0-10). Patient-reported data for demographics, clinical characteristics, and PROs were collected through questionnaires administered biannually and reported from the most recent questionnaire. Patient-reported HCRU and total health care costs (2019 US dollars) for hospitalizations, emergency department (ED) visits, outpatient visits, diagnostic tests, and procedures were captured during the 6 months prior to the most recent survey completion. The relationship between HAQ-DI or BASDAI and HCRU outcomes was assessed using negative binomial regression models, and the relationship between HAQ-DI or BASDAI and the cost outcomes was evaluated using generalized linear models with γ distribution and log-link function. RESULTS: Overall, 334 patients with AS who completed the HAQ-DI (n = 253) or BASDAI (n = 81) were included. The mean (SD) HAQ-DI and BASDAI scores at the time of patients' most recent surveys were 0.9 (0.7) and 3.7 (2.3), respectively. HAQ-DI score was positively associated with number of hospitalizations, ED visits, outpatient visits, and diagnostic tests, whereas BASDAI was not associated with HCRU outcomes. Overall annualized mean (SD) total health care, medical, and pharmacy costs for patients with AS were $44,783 ($40,595); $6,521 ($12,733); and $38,263 ($40,595), respectively. Annualized total health care, medical, and pharmacy costs adjusted for confounders increased by 35%, 76%, and 26%, respectively, for each 1.0-unit increase in HAQ-DI score (coefficient [95% CI]: 1.35 [1.15-1.58], 1.76 [1.22-2.55]; both P < 0.01 and 1.26 [1.04-1.52]; P < 0.05, respectively); BASDAI score was not significantly associated with cost outcomes. CONCLUSIONS: Higher HAQ-DI scores were associated with higher HCRU and total health care costs among patients with AS in FORWARD, but BASDAI scores were not. These findings indicate that greater functional impairment may impose an increased economic burden compared with other patient-reported measures of AS. DISCLOSURES: A. Ogdie has received consulting fees from Amgen, AbbVie, Bristol Myers Squibb, Celgene, CorEvitas (formerly Corrona), Gilead, Janssen, Lilly, Novartis, Pfizer, and UCB and has received grant support from the National Institutes of Health/National Institute of Arthritis and Musculoskeletal and Skin Diseases, Rheumatology Research Foundation, National Psoriasis Foundation, Pfizer (University of Pennsylvania), Amgen (FORWARD), and Novartis (FORWARD). M. Hwang has received consulting fees from Novartis and UCB and has received grant support (5KL2TR003168-03) from the University of Texas Health Science Center at Houston Center of Clinical and Translational Sciences KL2 program. P. Veeranki and J. Shafrin were employees of PRECISION-heor at the time of this analysis. A. Portelli and S. Sison are employees of PRECISION-heor. S. Pedro does not have anything to disclose. N. Kim was a postdoctoral fellow at the University of Texas at Austin and Baylor Scott and White Health, providing services to Novartis at the time of this study. E. Yi is an employee of Novartis. K. Michaud received grant funding from the Rheumatology Research Foundation at the time of this analysis. This study was funded by Novartis Pharmaceuticals Corporation, East Hanover, NJ.

Health care utilization and costs associated with functional status in patients with psoriatic arthritis.

BACKGROUND: The Health Assessment Questionnaire Disability Index (HAQ-DI) has been validated and widely used in psoriatic arthritis (PsA) clinical trials for the assessment of patient functional status. Significant improvements in the HAQ-DI have been reported in response to therapeutic interventions; however, few US studies have evaluated the economic impact of functional disability in patients with PsA. OBJECTIVE: To evaluate the association of functional status with health care resource utilization (HCRU) and total health care costs in US patients diagnosed with PsA. METHODS: This retrospective study included adult patients with PsA enrolled in FORWARD between July 2009 and June 2019 who completed 1 or more HAQ-DI questionnaires between January 2010 and December 2019. Patient demographics, clinical characteristics, and patient-reported outcomes were collected from the most recent questionnaire. HCRU and total health care costs (2019 US dollars) for all hospitalizations, emergency department (ED) visits, outpatient visits, diagnostic tests, and procedures were assessed for the 6 months prior to survey completion. Negative binomial regression models (HCRU outcomes) and generalized linear models with γ distribution and log-link function (cost outcomes) were used to assess the relationship between HAQ-DI and HCRU and cost outcomes, respectively. RESULTS: A total of 828 patients with PsA who completed HAQ-DI questionnaires were included. The mean (SD) age was 58.5 (13.5) years, 72.3% were female, and 92.3% were White. The mean (SD) disease duration was 17.5 (12.4) years, and the mean (SD) HAQ-DI score at the time of the patients' most recent questionnaire was 0.9 (0.7). More severe functional disability, measured by higher HAQ-DI score, was significantly associated with increased risk (incident rate ratio [95% CI]) of hospitalizations (1.68 [1.11-2.55]), ED visits (2.09 [1.47-2.96]), outpatient visits (1.14 [1.05-1.24]), and diagnostic tests (1.42 [1.16-1.74]). There was also a significant positive association between greater HAQ-DI score and increased total annualized health care costs (incremental amount [95% CI], 1.13 [1.03-1.23]) and medical costs (1.38 [1.13-1.69]), but there was no significant association found with pharmacy costs. Total adjusted average patient medical costs increased with increasing HAQ-DI score. CONCLUSIONS: Among patients with PsA enrolled in FORWARD, more functional disability-as measured by higher HAQ-DI scores-was associated with greater HCRU and increased total health care costs. These results suggest that improving functional status in patients with PsA may reduce economic burden for health care payers and systems. DISCLOSURES: Dr Ogdie has received consulting fees from Amgen, AbbVie, Bristol Myers Squibb, Celgene, CorEvitas (formerly Corrona), Gilead, Janssen, Lilly, Novartis, Pfizer, and UCB and has received grant support from the National Institutes of Health/National Institute of Arthritis and Musculoskeletal and Skin Diseases, Rheumatology Research Foundation, National Psoriasis Foundation, Pfizer (University of Pennsylvania), Amgen (FORWARD), and Novartis (FORWARD). Dr Hwang has received consulting fees from Novartis and UCB and has received grant support (5KL2TR003168-03) from the University of Texas Health Science Center at Houston Center of Clinical and Translational Sciences KL2 program. Drs Veeranki and Shafrin were employees of PRECISIONheor at the time of this analysis. Ms Portelli and Mr Sison are employees of PRECISIONheor. Ms Pedro has nothing to disclose. Dr Hass is an employee of H. E. Outcomes, providing consulting services to Novartis. Dr Hur was an employee of Novartis at the time of this analysis. Dr Kim was a postdoctoral fellow at the University of Texas at Austin and Baylor Scott and White Health, providing services to Novartis at the time of this analysis. Dr Yi is an employee of Novartis. Dr Michaud received grant funding from the Rheumatology Research Foundation at the time of this analysis. This study was funded by Novartis Pharmaceuticals Corporation, East Hanover, NJ.