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Aims : Patients with rheumatoid arthritis (RA) have an increased risk of venous thromboembolism (VTE), likely related to underlying inflammation. We examined VTE risk associated with two commonly used immunomodulators in RA patients, methotrexate and hydroxychloroquine. Methods and Results : Using U.S. Medicare claims data (2008-2017), we identified RA patients (≥65 years) who initiated methotrexate or hydroxychloroquine without prior use of any immunomodulators. The primary outcome was VTE, a composite of pulmonary embolism (PE) or deep vein thrombosis (DVT). Secondary outcomes included PE, DVT, and all-cause mortality. After 1:1 propensity score matching for confounding control, we identified 26,534 pairs of methotrexate and hydroxychloroquine initiators (mean (SD) age 74 (7) years; 79% female). During a total of 56,686 person-years of follow-up, 208 methotrexate and 83 hydroxychloroquine initiators developed VTE. The incidence rate of VTE was higher among methotrexate initiators (6.94/1,000 person-years) than hydroxychloroquine initiators (3.11/1,000 person-years) with a hazard ratio (HR) of 2.26 (95%CI 1.75, 2.91). Methotrexate initiators had a greater risk of PE (HR 3.30, 95%CI 2.28, 4.77) and DVT (HR 1.53, 95%CI 1.07, 2.19) than hydroxychloroquine initiators. All-cause mortality was similar between the two groups (HR 0.91, 95%CI 0.83, 1.00). Conclusion : In this large real-world cohort of older RA patients, treatment with methotrexate was associated with a 2-fold increased risk of VTE relative to hydroxychloroquine, although all-cause mortality was similar. Future experimental studies with non-user control groups are needed to determine the causal relationships between the study drugs and VTE and whether methotrexate elevates or hydroxychloroquine reduces the risk of VTE.

OBJECTIVE Identifying pseudogout in large data sets is difficult due to its episodic nature and a lack of billing codes specific to this acute subtype of calcium pyrophosphate (CPP) deposition disease. The objective of this study was to evaluate a novel machine learning approach for classifying pseudogout using electronic health record (EHR) data. METHODS We created an EHR data mart of patients with ≥1 relevant billing code or ≥2 natural language processing (NLP) mentions of pseudogout or chondrocalcinosis, 1991-2017. We selected 900 subjects for gold standard chart review for definite pseudogout (synovitis + synovial fluid CPP crystals), probable pseudogout (synovitis + chondrocalcinosis), or not pseudogout. We applied a topic modeling approach to identify definite/probable pseudogout. A combined algorithm included topic modeling plus manually reviewed CPP crystal results. We compared algorithm performance and cohorts identified by billing codes, the presence of CPP crystals, topic modeling, and a combined algorithm. RESULTS Among 900 subjects, 123 (13.7%) had pseudogout by chart review (68 definite, 55 probable). Billing codes had a sensitivity of 65% and a positive predictive value (PPV) of 22% for pseudogout. The presence of CPP crystals had a sensitivity of 29% and a PPV of 92%. Without using CPP crystal results, topic modeling had a sensitivity of 29% and a PPV of 79%. The combined algorithm yielded a sensitivity of 42% and a PPV of 81%. The combined algorithm identified 50% more patients than the presence of CPP crystals; the latter captured a portion of definite pseudogout and missed probable pseudogout. CONCLUSION For pseudogout, an episodic disease with no specific billing code, combining NLP, machine learning methods, and synovial fluid laboratory results yielded an algorithm that significantly boosted the PPV compared to billing codes.

OBJECTIVE Using a quality improvement approach, our objective was to integrate a treat-to-target approach for rheumatoid arthritis (RA) through routine electronic collection of patient-reported disease activity scores and a multidisciplinary learning collaborative for rheumatologists. METHODS RA patients completed a patient-reported outcome measure, the Routine Assessment of Patient Index Data 3 (RAPID3), at check-in. Nine rheumatologists and their patients were allocated to a learning collaborative intervention group focused on a treat-to-target approach and 13 were allocated to a control group. The primary outcome was documentation of a treat-to-target implementation score: disease activity score, disease activity score used in the medication change decision, the presence of a treatment target, and an indication of shared decision-making. A primary analysis of patient visits with medication changes was conducted using an interrupted time-series analysis. RESULTS We studied 554 individual rheumatology patients with 709 patient visits. Treat-to-target implementation scores among intervention rheumatologists (mean ± SD 44.6% ± 1.63%) were 12.4% higher than in the control group (mean ± SD 32.2% ± 1.50%; P < 0.0001). We observed differences in treat-to-target implementation score components, comparing intervention group to control group rheumatologists: disease activity score present, 77.2% versus 68.0% (P = 0.02); disease activity score used in the medication change decision, 45.2% versus 30.0% (P < 0.01); treatment target, 9.0% versus 0.4% (P < 0.01); and shared decision-making, 46.9% versus 30.0% (P < 0.01). Secondary analysis of patient visits with high RAPID3 scores found that medication changes were 54% less likely in the intervention versus control group (odds ratio 0.46 [95% confidence interval 0.27-0.79], P = 0.005). CONCLUSION This nonrandomized, interrupted time-series trial demonstrated a modest but significant impact of a learning collaborative intervention on rheumatologist documentation of a treat-to-target approach in RA.

OBJECTIVE We previously reported that low-dose methotrexate (MTX) was associated with an increased risk of pulmonary adverse events (AEs) in a large randomized, placebo-controlled trial. Herein, we report details on the predictors and severity of pulmonary AEs. METHODS We conducted a prespecified analysis of pulmonary AEs in the Cardiovascular Inflammation Reduction Trial. Adults with known cardiovascular disease and diabetes/metabolic syndrome were randomly allocated to receive low-dose MTX (target dose 15-20 mg/week) or placebo after a 6-8-week open-label run-in phase in which all patients received low-dose MTX. Individuals with systemic inflammatory diseases were excluded. Pulmonary AEs were adjudicated in a blinded manner. We described severe pulmonary AEs and examined associations of baseline characteristics with pulmonary AEs in patients receiving low-dose MTX. RESULTS A total of 2,391 subjects were randomized to receive low-dose MTX and 2,395 to receive placebo. There were 13 severe pulmonary AEs (0.5%) and 7 cases of possible pneumonitis (0.3%) in the low-dose MTX group, compared to 8 (0.3%) and 1 (

Background: Osteoarthritis is a common inflammatory disorder with no disease-modifying therapies. Whether inhibition of interleukin-1β (IL-1β) can reduce the consequences of large joint osteoarthritis is unclear. Objective: To determine whether IL-1β inhibition with canakinumab reduces incident total hip or knee replacement (THR/TKR). Design: Exploratory analysis of a randomized trial. (ClinicalTrials.gov: NCT01327846) Setting: 1091 clinical sites in 39 countries. Participants: 10 061 CANTOS (Canakinumab Anti-inflammatory Thrombosis Outcomes Study) participants. Intervention: Random allocation to placebo or canakinumab (50, 150, or 300 mg) subcutaneously once every 3 months. Measurements: The primary and secondary outcomes were time to first incident THR/TKR and time to first occurrence of an osteoarthritis-related adverse event (AE). Data were obtained through blinded ascertainment of trial clinical and safety databases. Results: Median follow-up was 3.7 years. For the individual canakinumab dose groups, compared with placebo, hazard ratios (HRs) for incident THR/TKR during follow-up were 0.60 (95% CI, 0.38 to 0.95) for the 50-mg group, 0.53 (CI, 0.33 to 0.84) for the 150-mg group, and 0.60 (CI, 0.38 to 0.93) for the 300-mg group. Thus, in the pooled canakinumab groups, compared with the placebo group, incidence rates for THR/TKR were 0.31 and 0.54 events per 100 person-years (HR, 0.58 [CI, 0.42 to 0.80]; P = 0.001), respectively. The HR for the secondary end point of osteoarthritis-related AEs was 0.73 (CI, 0.61 to 0.87). Similar findings were observed in analyses restricted to participants with a history of osteoarthritis. Limitation: Because the parent trial was not designed to examine the efficacy of IL-1β inhibitors in osteoarthritis, information on structural joint outcomes was not collected. Conclusion: Findings from this exploratory analysis of a randomized controlled trial support further investigation of IL-1β inhibition for treatment of large joint osteoarthritis. Primary Funding Source: Novartis Pharmaceuticals.

BACKGROUND: Less than half of patients with cardiometabolic disease consistently take prescribed medications. While health insurers and some delivery organizations use claims to measure adherence, most clinicians do not have access during routine interactions. Self-reported scales exist, but their practical utility is often limited by length or cost. By contrast, the accuracy of a new 3-item self-reported measure has been demonstrated in individuals with HIV. We evaluated its concordance with claims-based adherence measures in cardiometabolic disease. METHODS: We used data from a recently-completed pragmatic trial of patients with cardiometabolic conditions. After 12 months of follow-up, intervention subjects were mailed a survey with the 3-item measure that queries about medication use in the prior 30 days. Responses were linearly transformed and averaged. Adherence was also measured in claims in Month 12 and Months 1–12 of the trial using proportion of days covered (PDC) metrics. We compared validation metrics for non-adherence for self-report (average

Background Rates of statin use among minority women are unclear. Hypothesis We hypothesized that statin use would vary by race/ethnicity with lower rates among minority women compared with Whites. Methods Data from the study of women's health across the nation, a multiethnic cohort of women collected between 2009 to 2011 were used to examine reported statin use by race/ethnicity and risk profile. Multivariable logistic modeling was performed to estimate the odds ratio (OR) of statin treatment. Results Of the 2399 women included, 234 had a diagnosis of atherosclerotic disease (ASCVD), 254 were diabetic (without ASCVD), 163 had an LDL ≥190 mg/dL, and 151 had a 10 year ASCVD pooled risk score ≥7.5%. Statins were used by 49.6% of women with CVD; 59.8% of women with diabetes without known ASCVD; 42.3% of women with an LDL ≥190 mg/dL; and 19.9% of women with an ASCVD risk ≥7.5%. Rates of statin use were 43.8% for women with ≥ two prior ASCVD events and 69.4% for women with ≥ one prior ASCVD event plus multiple high‐risk conditions. Among women eligible for statins, Black women had a significantly reduced adjusted odds of being on a statin (OR 0.53, 95% confidence interval [CI] 0.36‐0.78) compared with White women. Conclusions In this cohort of multiethnic women, rates of statin use among women who would benefit were low, with Black women having lower odds of statin use than White women.

Purpose Sleep disturbances are common, particularly in middle aged women. Prescription medications for this indication are increasingly used, despite uncertain safety. This study assessed prescription medication use for sleep among a cohort of women with and without sleep disturbances. Methods We examined reports of sleep disturbance and sleep medication use among pre- and early peri-menopausal womenassessed annually or biennially since 1996. Women self-reported medications at visits, and we identified medications that have been used primarily for sleep disturbances. They reported on difficulties falling and staying asleep, and early morning wakening. Sleep medication use across 20 years of follow-up was examined for all women and by race/ethnicity. Women who reported data for both sleep disturbance and sleep medication use were included in the analyses.. Results Among participants in a cohort of 3302 women who were enrolled prior to their menopause transition, 3082 women were included in the analytic sample and 2531 (82%) reported sleep disturbances. They were more likely to endorse higher anxiety and pain scores and more comorbid conditions than women without sleep disturbances. Baseline characteristics were similar among women who did and did not use sleep medications. Among women reporting a sleep disturbance at baseline, 2.5% reported sleep medication use, increasing to 8% over 20 years. However, the proportion of women reporting sleep medication use who did not report a sleep disturbance remained low, approximately 1% to 2% over the entire follow-up. Increases in sleep medication use was observed across women of all race/ethnicities. Conclusions The use of sleep medications among women reporting sleep disturbance grew over the last 20 years. Growth was observed across women of all race/ethnicities.

Erosion healing in rheumatoid arthritis (RA) is difficult to demonstrate. This extension study aimed to determine whether 2 years of teriparatide (TPTD) produces erosion healing. Subjects in a prev...

OBJECTIVE Methotrexate (MTX) increases the risk of alopecia and stomatitis, but the prevalence of these adverse events among rheumatic patients taking MTX is poorly defined. We conducted a systematic literature review and meta-analysis to estimate the prevalence of alopecia and stomatitis with MTX in rheumatic diseases. METHODS We searched PubMed, The Cochrane Library, and CINAHL databases for double-blind randomized controlled trials (RCTs) with an MTX monotherapy arm. Alopecia, stomatitis, and oral/mouth ulcers data were extracted. The quality of trials was assessed by 2 authors. We included trials published since 1990 that used at least 10 mg of MTX weekly, coadministered with folic or folinic acid. We estimated the prevalence using random-effects models because heterogeneity was anticipated. Two estimates of prevalence were included; the lower bound estimate included all trials (assuming no alopecia and stomatitis if not mentioned), and the upper bound estimate included only those that specifically described prevalence estimates of alopecia or stomatitis. RESULTS Of 3,954 studies identified, 20 RCTs were included, with a total of 24 MTX monotherapy arms, of which 10 reported the prevalence of alopecia (n = 1,113), and 21 reported stomatitis or mouth/oral ulcers (n = 2,056). The prevalence of alopecia was between 1.0% and 4.9%. The prevalence of stomatitis was between 5.7% and 8.0%. CONCLUSION This meta-analysis gives more precise estimates of mucocutaneous adverse events that occur in rheumatic disease patients taking MTX. These estimates will help inform patient decision-making regarding MTX.

Objectives Electronic patient-reported outcomes (ePROs) transmitted digitally allow patients to communicate with their clinicians and track the activity of chronic diseases, such as RA. Several ePRO smartphone apps have been developed in rheumatology, yet few data have been reported regarding patient adherence. We developed a PRO app for RA and assessed adherence over 6 months. Methods We developed an app to deliver daily assessments to participants (RA App v.1.0). The app was tested as part of a randomized controlled trial examining potential clinical benefits. The current analyses focus on the adherence to the ePRO app for patients randomized to receive the app. We recruited RA patients from an academic rheumatology practice in the USA. Patients randomized to receive the app received daily notifications regarding ePROs. We examined adherence to the PRO questionnaires over the 6-month study and examined factors related to adherence. Results Seventy-eight patients received the app and have data included in these analyses: 63 (80.7%) were female, mean age was 55.2 years, 71% had attended college or beyond, and the mean Clinical Disease Activity Index at baseline was 9.7 (low disease activity). Median adherence to the daily questions was 79% (interquartile range 48–90%). Significant predictors of increased adherence were age ≥65 (P = 0.03) and low baseline Clinical Disease Activity Index (P = 0.02). Conclusion We developed and tested an ePRO app for RA over a 6-month study. Adherence to the app was strong. There was correlation between older age and better disease control and increased adherence. Trial registration ClinicalTrials.gov, https://clinicaltrials.gov/, NCT02822521.

Context Discontinuation of denosumab leads to a rapid reversal of its therapeutic effect. However, there are no data regarding how unintended delays or missed injections of denosumab impact bone mineral density (BMD) response. Objective We examined the association of delays in injections of denosumab with BMD change. Design We used electronic medical records from two academic hospitals from 2010 to 2017. Participants Patients older than 45 years of age and used at least 2 doses of 60 mg denosumab. Denosumab adherence was evaluated by the medication coverage ratio (MCR). Good adherence corresponds to a dosing interval ≤7 months (defined by MCR ≥93%), moderate adherence corresponds to an interval of 7 to 10 months (MCR 75%–93%), and poor adherence corresponds to an interval ≥10 months (MCR ≤75%). Outcome Measures Annualized percent BMD change from baseline at the lumbar spine, total hip, and femoral neck. Results We identified 938 denosumab injections among 151 patients; the mean (SD) age was 69 (10) years, and 95% were female. Patients with good adherence had an annualized BMD increase of 3.9% at the lumbar spine, compared with patients with moderate (3.0%) or poor adherence (1.4%, P for trend .002). Patients with good adherence had an annualized BMD increase of 2.1% at the total hip, compared with patients with moderate (1.3%) or poor adherence (0.6%, P for trend .002). Conclusions A longer interval between denosumab injections is associated with suboptimal BMD response at both spine and total hip. Strategies to improve the timely administration of denosumab in real-world settings are needed.

ObjectiveLong-term adherence to evidence-based medications in cardiometabolic diseases remains poor, despite extensive efforts to develop and test interventions and deploy clinician performance incentives. The limited success of interventions may be due to ignored factors such as patients’ experience of medication-taking. Despite being potentially addressable by clinicians, these factors have not been sufficiently explored, which is particularly important as patients use increasing numbers of medications. The aim is to explore patient perspectives on medication-taking, medication properties that are barriers to adherence, and coping strategies for their medication regimen.DesignIndividual, in-person, semistructured qualitative interviews.SettingUrban healthcare system.ParticipantsTwenty-six adults taking ≥2 oral medications for diabetes, hypertension or hyperlipidaemia with non-adherence. Interviews were digitally recorded and transcribed. Data were analysed using developed codes to generate themes. Representative quotations were selected to illustrate themes.ResultsParticipants’ mean age was 55 years, 46% were female and 39% were non-white. Six key themes were identified: (1) medication-taking viewed as a highly inconvenient action (that patients struggle to remember to do); (2) negative implications because of inconvenience or illness perceptions; (3) actual medication regimens can deviate substantially from prescribed regimens; (4) certain medication properties (especially size and similar appearance with others) may contribute to adherence deviations; (5) development of numerous coping strategies to overcome barriers and (6) suggestions to make medication-taking easier (including reducing drug costs, simplifying regimen or dosing frequency and creating more palatable medications).ConclusionPatients with poor adherence often find taking prescription medications to be undesirable and take them differently than prescribed in part due to properties of the medications themselves and coping strategies they have developed to overcome medication-taking challenges. Interventions that reduce the inconvenience of medication use and tailor medications to individual needs may be a welcome development.

PURPOSE: Medication side effects are a major concern in aging adults who report using an increasing number of medications. The relationship between accumulating medication use and physical function has not been examined in a longitudinal cohort. METHODS: We conducted a longitudinal cohort study using prospectively collected data from the Study of Women Across the Nation. Community-dwelling women from five US cities were followed for up to 20 years. The exposure of interest was the number of prescription medications. They were examined as a count variable and then for specific categories of medication. The outcome of interest was physical function measured repeatedly using the short form (SF)-36 physical function (PF) scale. Linear mixed models, using repeated measures of socio-demographics and comorbidities were assessed. RESULTS: 1,452 participants qualified for the analyses with a median follow-up of 19.2 years. At baseline, the mean age was 46.5 years and 53.5% reported White race. Fully adjusted models demonstrated a reduction in the SF-36 PF of 0.99 for each additional prescription medication used or a 6.14-point reduction for women reporting more than five medications and an 8.92-point reduction among those reporting more than 10 medications. These results were similar across race and ethnicity. Specific medication categories with a significant and large negative impact (at least a 2-point reduction) on physical component score included beta-blockers, analgesics, glucocorticoids, anticonvulsants, anxiolytics, anticoagulants and anti-depressants. CONCLUSIONS: There is a moderate association between increasing medication use and decreasing physical function among women transitioning through the mid-life.

OBJECTIVE To examine the effects of a smartphone application (app) to monitor longitudinal electronic patient-reported outcomes (ePROs) on patient satisfaction and disease activity in patients with rheumatoid arthritis (RA). METHODS We conducted a 6-month randomized controlled trial of care coordination along with an app (intervention) versus care coordination alone (control) in 191 RA patients. Participants in the intervention group were prompted to provide information daily using ePROs. In both the intervention and control groups, a care coordinator contacted participants at 6 and 18 weeks to assess for flares. The main outcome measures were the global satisfaction score from the Treatment Satisfaction Questionnaire for Medication (TSQM), the score from the Perceived Efficacy in Patient-Physician Interactions (PEPPI) Questionnaire, and the Clinical Disease Activity Index (CDAI) score. RESULTS Groups were similar at baseline. The median TSQM score at 6 months was 83.3 in both groups, and the median PEPPI score at 6 months was 50 in both groups. The median CDAI score at 6 months was 8 in the intervention group versus 10 in the control group. No statistically significant group differences in the medians of TSQM, PEPPI, or CDAI scores at 6 months were detected. Of the 67 intervention participants who completed the exit survey, 90% rated their likelihood of recommending the app as ≥7 of 10. Of the 11 physicians who completed the exit survey, 73% agreed/strongly agreed that they wanted to continue offering the app to patients. CONCLUSION A mobile app designed to collect ePRO data on RA symptoms did not significantly improve patient satisfaction or disease activity compared to care coordination alone. However, both patients and physicians reported positive experiences with the app.

Objective.Systemic lupus erythematosus (SLE) is a multisystem chronic inflammatory autoimmune disease with high prevalence of several risk factors for atrial fibrillation/flutter (AF). However, the incidence and risk of AF in SLE have not been well quantified.Methods.We used the United States Medicaid Analytic eXtract from 2007 to 2010 to identify beneficiaries aged 18–65 years, with prevalent SLE, each matched by age and sex to 4 non-SLE general Medicaid recipients. We estimated the incidence rates (IR) per 1000 person-years (PY) for AF hospitalizations and used multivariable Cox regression to estimate the HR for AF hospitalization.Results.We identified 46,876 US Medicaid recipients with SLE, and 187,504 age- and sex-matched non-SLE controls (93% female; mean age 41.5 ± 12.2 yrs). Known AF risk factors such as hypertension (HTN), cardiovascular disease (CVD), and kidney disease were more prevalent in patients with SLE. During a mean followup of 1.9 ± 1.1 years for SLE, and 1.8 ± 1.1 years for controls, the IR per 1000 PY for AF was 1.4 (95% CI 1.1–1.6) among patients with SLE and 0.7 (95% CI 0.6–0.8) among non-SLE controls. In age- and sex-matched and race-adjusted Cox models, the HR for AF was 1.79 (95% CI 1.43–2.24); after adjustment for baseline HTN and CVD, the adjusted HR was reduced to 1.17 (95% CI 0.92–1.48).Conclusion.SLE was associated with a doubled rate of hospitalization for AF compared to age- and sex-matched general Medicaid patients. In a race-adjusted model, the risk was 80% higher. However, the AF risk factors HTN and CVD were more prevalent among patients with SLE and accounted for the excess risk.

Objective Azathioprine (AZA) and mycophenolate mofetil (MMF) are immunosuppressants frequently used in the treatment of moderate-to-severe systemic lupus erythematosus (SLE). We studied longitudinal patterns and predictors of adherence to AZA and MMF in a nationwide US SLE cohort. Methods In the Medicaid Analytic eXtract (2000-2010) database, we identified patients with SLE who initiated AZA or MMF (no use in the prior 6 months) with ≥12 months of continuous follow-up. We dichotomized adherence at 80%, with ≥24 of 30 days per month considered adherent. We used group-based trajectory models to estimate monthly adherence patterns and multivariable multinomial logistic regression to determine the association between demographic, SLE and utilization-related predictors, and the odds ratios (OR) of belonging to a nonadherent versus the adherent trajectory, separately for AZA and MMF. Results We identified 2,309 AZA initiators and 2,070 MMF initiators with SLE. Four-group trajectory models classified 17% of AZA and 21% of MMF initiators as adherent. AZA and MMF nonadherers followed similar trajectory patterns. African American race (OR 1.67 [95% confidence interval (95% CI) 1.20-2.31]) and Hispanic ethnicity (OR 1.58 [95% CI 1.06-2.35]) increased odds of AZA nonadherence; there were no significant associations between race/ethnicity and MMF nonadherence. Male sex and polypharmacy were associated with lower odds of nonadherence to both medications; lupus nephritis was associated with lower odds of nonadherence to MMF (OR 0.74 [95% CI 0.55-0.99]). Conclusion Adherence to AZA or MMF over the first year of use was rare. Race, sex, and lupus nephritis were modestly associated with adherence, but the magnitude, direction, and significance of predictors differed by medication, suggesting the complexity of predicting adherence behavior.

Objectives To examine the rate of incident malignancies excluding non-melanoma skin cancer (NMSC) in patients with rheumatoid arthritis (RA) newly treated with tocilizumab versus other biologic drugs. Methods We conducted a cohort study using data from 3 U.S. insurance claims databases – Medicare (2010–2015), ‘IMS’ PharMetrics Plus (2011–2015) and Truven ‘MarketScan’ (2011–2015). Adults with RA who newly started tocilizumab or a TNF inhibitor (TNFi) after failing a different TNFi, abatacept or tofacitinib were included. The primary outcome was development of any malignancies excluding NMSC. For confounding control, tocilizumab starters were propensity score (PS)-matched to TNFi starters with a variable ratio of 1:3 within each database. Hazard ratios (HR) from the 3 PS-matched cohorts were combined by an inverse variance-weighted, fixed-effects model. We conducted a secondary analysis where we compared tocilizumab initiators with abatacept initiators. Results We included 13,102 tocilizumab initiators PS-matched to 26,727 TNFi initiators in all three databases. The incidence rate of malignancies per 1,000 person-years ranged from 8.27 (IMS) to 23.18 (Medicare) in the tocilizumab group and from 9.64 (MarketScan) to 21.46 (Medicare) in the TNFi group. The risk of incident malignancies was similar between tocilizumab and TNFi initiators across all three databases, with a combined HR of 0.98 (95%CI 0.80–1.19) in tocilizumab versus TNFi. The secondary analysis comparing tocilizumab versus abatacept showed similar results (combined HR 0.97, 95%CI 0.74–1.27). Conclusions This large multi-database cohort study found no difference in the risk of malignancies excluding NMSC in RA patients who newly started tocilizumab compared with TNFi or abatacept.

Summary Objective To examine patterns of prescription opioid use before total joint replacement (TJR) and factors associated with continuous use of opioids before TJR. Design We conducted an observational cohort study among Medicare enrollees aged ≥65 years who underwent TJR between 2010 and 2014. Preoperative opioid use was defined as having any opioid prescription in the 12-month period before TJR. Patients who had an opioid prescription every month for a 12-month period were defined as continuous users. We examined patients' demographics, pain-related conditions, medication use, other comorbidities, healthcare utilization and their association with use of opioids before TJR. Results A total of 473,781 patients underwent TJR:,155,516 THR and 318,265 TKR. Among the total cohort, 60.2% patients had any use of opioids and of those, 12.4% used opioids at least once a month continuously over the 12-month baseline period. Correlates of continuous opioid use included African American race (OR = 2.14, 95% confidence intervals (CI) = 2.01–2.28, compared to White patients), history of drug abuse (OR = 5.18, 95% CI = 3.95–6.79) and back pain (OR = 2.32, 95% CI = 2.24–2.39). Conclusions In this large cohort of patients undergoing TJR, over 60% ever used opioids and 12.4% of them continuously used opioids in the 12-month prior to surgery. Utilization of opioids became more frequent and high-dosed near the surgery. History of drug abuse, back pain, and African American race were strongly associated with continuous use of opioids preoperatively. Further research is needed to determine short-term and long-term risks of preoperative use of opioids in TJR patients and to optimize pre- and post-TJR pain management of patients with arthritis.

While nonsteroidal antiinflammatory drugs (NSAIDs) are commonly used in rheumatology, they can cause major toxicity. Improving the risk/benefit ratio requires a more precise understanding of risk. This study was undertaken to derive and validate a risk score for major toxicity among NSAID users enrolled in a randomized controlled trial.Patients enrolled in a randomized controlled trial who had known cardiovascular disease or risk factors as well as osteoarthritis or rheumatoid arthritis were divided into derivation and validation cohorts. Patients were randomized to receive celecoxib, naproxen, or ibuprofen at typical dosages. The risk score was designed to predict the 1-year occurrence of major toxicity among NSAID users, including major adverse cardiovascular events, acute kidney injury, significant gastrointestinal events, and mortality. Variables significantly associated with major toxicity were candidates for inclusion in the final regression model. After derived models were found to have a similar model fit in the validation set, the cohorts were combined, allowing calculation of a risk score.In the derivation cohort, significant variables included age, male sex, history of cardiovascular disease, hypertension, diabetes mellitus, tobacco use, statin use, elevated serum creatinine level, hematocrit level, and type of arthritis. The C-index was 0.73 in the validation cohort and 0.71 in the total cohort; the model was well calibrated. Of the total population with complete data (n = 23,735), 1,080 participants (4.6%) had a predicted 1-year risk of major toxicity of1%, 16,273 (68.6%) had a predicted risk of 1-4%, and 6,382 (26.9%) had a predicted risk of4%.The risk score accurately categorizes the 1-year risk of major toxicity among NSAID users and may be useful in identifying patients who can safely use these agents.

Objective Systemic lupus erythematosus (SLE), which is associated with increased stroke risk, is more prevalent and often more severe among Blacks, Asians, and Hispanics than Whites. We examined racial/ethnic variation in stroke rates and risks, overall and by hemorrhagic versus ischemic subtype, among SLE patients. Methods Within Medicaid (2000–2010), we identified patients aged 18–65 with SLE (≥ 3 ICD-9 710.0 codes, ≥ 30days apart) and ≥12 months of continuous enrollment. Subjects were followed from index date to first stroke event, death, disenrollment, or end of follow-up. Race/ethnicity-specific annual event rates were calculated for stroke overall and by subtypes (hemorrhagic vs. ischemic). We used Cox proportional hazard models to estimate hazard ratios (HR) of stroke by race/ethnicity, adjusting for comorbidities and the competing risk of death. Results Of 65,788 SLE patients, 93.1% were female. Racial/ethnic breakdown was 42% Black, 38% White, 16% Hispanic, 3% Asian, and 1% American Indian/Alaska Natives. Mean follow-up was 3.7 ± 3.0years. After multivariable adjustment, Blacks were at increased risk of overall stroke (HR 1.34 [95%CI 1.18–1.53), hemorrhagic stroke (HR 1.42 [1.00–2.01]), and ischemic stroke (HR 1.33 [1.15–1.52]) compared to Whites. Hispanics were at increased risk of overall stroke (HR 1.25 [1.06–1.47)] and hemorrhagic stroke (HR 1.79 [95% CI 1.22–2.61]), but not ischemic stroke, compared to Whites. Conclusion Among SLE patients enrolled in Medicaid, we observed elevated stroke risk (overall and by subtype) among Blacks and Hispanics compared to Whites, suggesting the importance of early recognition and screening for stroke risk factors among Blacks and Hispanics.

Objective The opioid epidemic is a major public health concern. However, little is known about opioid use among rheumatoid arthritis (RA) patients. We undertook this study to examine trends in chronic opioid use in RA patients in 2002-2015 and to identify clinical predictors. Methods RA patients were identified from the Corrona registry. Opioid use was ascertained from surveys obtained at clinical visits as often as every 3 months. Chronic opioid use was defined as any opioid use reported during ≥2 consecutive study visits. Annual prevalence of chronic opioid use was calculated using data from 33,739 RA patients with information on opioid use from ≥2 visits. Among the 26,288 individuals who were not taking opioids at baseline, Cox proportional hazards models identified associations between patient characteristics and incident chronic opioid use. Hazard ratios (HRs) and 95% confidence intervals (95% CIs) were calculated. Results Chronic opioid use increased from 7.4% in 2002 to 16.9% in 2015. Severe pain (HR 2.53 [95% CI 2.19-2.92]) and antidepressant use (HR 1.79 [95% CI 1.64-1.92]) were associated with an increased risk of chronic opioid use. High disease activity (HR 1.55 [95% CI 1.30-1.84]) and a high level of disability (HR 1.45 [95% CI 1.27-1.65]) were also associated with chronic opioid use, whereas Asian ethnicity (HR 0.49 [95% CI 0.36-0.68]) was associated with a decreased risk of chronic opioid use. Conclusion Among RA patients, chronic opioid use doubled from 2002 to 2015. Pain and antidepressant use were the strongest predictors of chronic opioid use. To curb the rise in chronic opioid use, strategies for stringent control of RA disease activity and management of pain and depression should be research priorities.

Objective To examine disease-modifying antirheumatic drug (DMARD) treatments and estimate the risk of a subsequent cardiovascular (CV) event following an initial CV event in patients with rheumatoid arthritis (RA), psoriatic arthritis (PsA), or psoriasis. Methods We analyzed data from MarketScan claims databases (January 1, 2006 to June 30, 2015) for adults with RA, PsA, or psoriasis and an initial/index CV event (acute myocardial infarction, stroke, or coronary revascularization) while receiving DMARDs (tumor necrosis factor inhibitor [TNFi] biologic DMARDs [bDMARDs], conventional synthetic DMARDs [csDMARDs], or non-TNFi bDMARDs). We studied DMARD treatment patterns following the index event and rates of subsequent CV events. We used Cox regression to investigate predictors of DMARD discontinuation and risk factors for subsequent CV events. Results Among 10,254 patients, 15.3% discontinued and 15.5% switched DMARD therapy after the index CV event. Independent predictors of DMARD discontinuation included a psoriasis diagnosis, renal disease, hypertension, heart failure, diabetes mellitus, older age, and baseline csDMARD or non-TNFi bDMARD use (versus TNFi bDMARDs). Rates per 1,000 patient-years of subsequent events were 75.2 (95% confidence interval [95% CI] 54.4-96.0) for patients taking TNFi bDMARDs, 83.6 (95% CI 53.3-113.9) for csDMARDs, and 122.4 (95% CI 60.6-184.3) for non-TNFi bDMARDs. A diagnosis of RA (versus psoriasis) and heart failure at baseline, but not a DMARD pattern after the index event, were independently associated with an increased risk of subsequent CV event. Conclusion In this large nationwide study, nearly one-third of patients with RA, PsA, or psoriasis switched or discontinued DMARD therapy following a CV event. There was no association between DMARD class and the risk of a subsequent CV event.

BACKGROUND: Inflammation is causally related to atherothrombosis. Treatment with canakinumab, a monoclonal antibody that inhibits inflammation by neutralizing interleukin-1β, resulted in a lower rate of cardiovascular events than placebo in a previous randomized trial. We sought to determine whether an alternative approach to inflammation inhibition with low-dose methotrexate might provide similar benefit. METHODS: We conducted a randomized, double-blind trial of low-dose methotrexate (at a target dose of 15 to 20 mg weekly) or matching placebo in 4786 patients with previous myocardial infarction or multivessel coronary disease who additionally had either type 2 diabetes or the metabolic syndrome. All participants received 1 mg of folate daily. The primary end point at the onset of the trial was a composite of nonfatal myocardial infarction, nonfatal stroke, or cardiovascular death. Near the conclusion of the trial, but before unblinding, hospitalization for unstable angina that led to urgent revascularization was added to the primary end point. RESULTS: The trial was stopped after a median follow-up of 2.3 years. Methotrexate did not result in lower interleukin-1β, interleukin-6, or C-reactive protein levels than placebo. The final primary end point occurred in 201 patients in the methotrexate group and in 207 in the placebo group (incidence rate, 4.13 vs. 4.31 per 100 person-years; hazard ratio, 0.96; 95% confidence interval [CI], 0.79 to 1.16). The original primary end point occurred in 170 patients in the methotrexate group and in 167 in the placebo group (incidence rate, 3.46 vs. 3.43 per 100 person-years; hazard ratio, 1.01; 95% CI, 0.82 to 1.25). Methotrexate was associated with elevations in liver-enzyme levels, reductions in leukocyte counts and hematocrit levels, and a higher incidence of non–basal-cell skin cancers than placebo. CONCLUSIONS: Among patients with stable atherosclerosis, low-dose methotrexate did not reduce levels of interleukin-1β, interleukin-6, or C-reactive protein and did not result in fewer cardiovascular events than placebo. (Funded by the National Heart, Lung, and Blood Institute; CIRT ClinicalTrials.gov number, NCT01594333.)

Objectives While tocilizumab may increase serum lipid levels, recent studies do not suggest a link between tocilizumab use and clinical cardiovascular risk in patients with rheumatoid arthritis (RA). Methods To compare cardiovascular safety of tocilizumab with abatacept, we conducted a cohort study using data from Medicare (2010–2013), IMS PharMetrics (2011–2014) and MarketScan (2011-6/2015). RA patients aged ≥18 years who newly started tocilizumab or abatacept entered the cohort on the day of their first use of tocilizumab or abatacept after a continuous enrollment period for ≥365 days. The primary outcome was a composite cardiovascular endpoint of hospitalization for myocardial infarction or stroke. To control for more than 60 confounders, tocilizumab starters were propensity score (PS)-matched to abatacept starters with a variable ratio of 1:3 within each database. A fixed-effects model combined database-specific hazard ratios (HR). Results We included 6237 tocilizumab starters PS-matched to 14,685 abatacept starters in all three databases. Mean age was 72 years in Medicare, 51 in PharMetrics and 53 in MarketScan. The incidence rate of the composite cardiovascular events per 100 person-years ranged from 0.37 (PharMetrics) to 1.64 (Medicare) in the tocilizumab group and from 0.59 (PharMetrics) to 1.69 (Medicare) in the abatacept group. The risk of the composite cardiovascular events was similar between the two groups across all three databases, with a combined HR of 0.82 (95% CI: 0.55–1.22) in tocilizumab versus abatacept starters. Conclusions This multi-database cohort study found no difference in the risk of cardiovascular events in RA patients who newly started tocilizumab versus abatacept.

Background There are numerous non-biologic and biologic disease-modifying anti-rheumatic drugs (bDMARDs) for rheumatoid arthritis (RA). Typical sequences of bDMARDs are not clear. Future treatment policies and trials should be informed by quantitative estimates of current treatment practice. Methods We used data from Corrona, a large real-world RA registry, to develop a method for quantifying sequential patterns in treatment with bDMARDs. As a proof of concept, we study patients who eventually use tocilizumab monotherapy (TCZm), an IL-6 antagonist with similar benefits used as monotherapy or in combination. Patients starting a bDMARD were included and were followed using a discrete-state Markov model, observing changes in treatments every 6 months and determining whether they used TCZm. A supervised machine learning algorithm was then employed to determine longitudinal patient factors associated with TCZm use. Results 7300 patients starting a bDMARD were followed for up to 5 years. Their median age was 58 years, 78% were female, median disease duration was 5 years, and 57% were seropositive. During follow-up, 287 (3.9%) reported use of TCZm with median time until use of 25.6 (11.5, 56.0) months. Eighty-two percent of TCZm use began within 3 years of starting any bDMARD. Ninety-three percent of TCZm users switched from TCZ combination, a TNF inhibitor, or another bDMARD. Very few patients are given TCZm as their first DMARD (0.6%). Variables associated with the use of TCZm included prior use of TCZ combination therapy, older age, longer disease duration, seronegative, higher disease activity, and no prior use of a TNF inhibitor. Conclusions Improved understanding of treatment sequences in RA may help personalize care. These methods may help optimize treatment decisions using large-scale real-world data.

Rheumatoid arthritis (RA) is a chronic disease, requiring frequent patient-provider interaction and self-monitoring. We developed a novel mobile health smartphone app with a voice-enabled feature to help patients virtually track disease activity and ask general questions about RA.With a user-centered design (UCD) approach, we developed a voice-enabled app (VEA) which was then tested in two focus groups of patients (n=8) and one with providers (n=4). Voice enablement and a question and answer (QA) library function were previously requested by patients. Based on focus group feedback, the VEA was refined and tested with 26 patients for 56 days. The VEA asked patients to fill in daily patient-reported outcomes (PROs) and complete the trial with a satisfaction survey.Of the 26 patients in the VEA trial, 77% were female and 50% were aged 55 and older. Adherence to daily PROs during the 56-day trial was 66%, with1% of PROs completed using the voice-enabled feature. PROMIS short forms and RADAI-5 PROs remained stable. Of the 22 satisfaction survey respondents, 86% were satisfied with their overall experience with the app and 18.5% were satisfied with voice enablement. The voice assistant had an 86% success rate at understanding and answering interactions regarding surveys and a 44% success rate regarding QA interactions.We developed a novel VEA through a UCD framework and conducted pilot testing. Adherence was moderate and RADAI-5 and PROMIS measures were stable. Based on satisfaction results, PROs may not be the best use of voice enablement technology.

Objectives Methotrexate is widely used at low dosages (LD-MTX) for non-oncologic indications and is associated with a variety of adverse effects (AEs). We sought to determine whether concentrations of the active metabolite, MTX polyglutamates (MTX-PGs) 1–5, correlate with AEs. Method We examined data from the LD-MTX arm of the randomized double-blind Cardiovascular Inflammation Reduction Trial (CIRT). All AEs were blindly adjudicated and monitoring laboratories were tested centrally. The MTX-PGs 1–5 were assessed in one reference laboratory using liquid chromatography–tandem mass spectrometry. Based on prior literature, MTX-PGs 3–5 were chosen as the exposure of interest and quartiles of MTX-PGs 3–5 were assessed for their relationship with all AEs and each pre-specified category of AE using adjusted Cox proportional hazards regression. Results Of the 2391 subjects randomized to LD-MTX, MTX-PG levels were available for 1319 subjects (median dosage 16.1 mg/week) from the 8 month visit. We followed these subjects for a median of 2.2 years [interquartile range (IQR) 1.5–2.9]. Higher MTX-PG3–5 levels were related to an increased risk of anaemia [compared with quartile 1 (Q1); hazard ratio (HR) for Q4 1.27 (95% CI 0.98, 1.65), P for trend = 0.05] and a decreased risk of thrombocytopenia [HR for Q4 0.52 (95% CI 0.32, 0.84), P for trend = 0.05]. MTX-PG3–5 levels >134 nmol/l were associated with an increased risk of liver abnormalities [HR 1.36 (95% CI 1.08, 1.72)]. Conclusions Higher MTX- PG3–5 levels were modestly associated with LD-MTX AEs, including anaemia and liver function abnormalities, but a reduced risk of thrombocytopenia and haemorrhage. Clinical trial registration NCT 01594333.

Key Points Question What patient-level factors in midlife women are associated with clinically important declines in physical health and function? Findings In this cohort study among 1091 women, 206 women experienced clinically important declines in the physical component summary score of the Short Form 36. Several variables had significant associations, including low baseline health, high body mass index, less educational attainment, current smoking, and several comorbid conditions. Meaning These findings suggest that patient variables could be useful for targeting interventions for women in midlife who are likely to experience clinically important declines in health and function in later life., This cohort study examines factors associated with clinically important 10-year declines in the physical health of US women from age 55 to 65 years., Importance Women in midlife often develop chronic conditions and experience declines in physical health and function. Identifying factors associated with declines in physical health and function among these women may allow for targeted interventions. Objective To examine the factors associated with clinically important 10-year declines in the physical component summary score (PCS) of the Short Form 36 (SF-36), a widely used patient-reported outcome measure, in women in midlife. Design, Setting, and Participants This longitudinal cohort study collected data from geographically dispersed sites in the US. Participants were part of the Study of Women’s Health Across the Nation (SWAN), a racially and ethnically diverse cohort of women enrolled at or immediately before the menopause transition. Women have been followed for up to 21 years, between 1996 and 2016, with annual visits. Data were analyzed from October 2020 to March 2021. Exposures Demographic indicators, health status measures, and laboratory and imaging assessments. Main Outcomes and Measures The main outcome was a clinically important decline (≥8 points) on the PCS, based on the 10-year difference in scores between ages 55 and 65 years. Results From the SWAN cohort of 3302 women, 1091 women (median [IQR] age, 54.8 [54.3-55.4] years; 264 [24.2%] Black women; 126 [11.6%] Chinese women; 135 [12.4%] Japanese women; 566 [51.9%] White women) were eligible for analyses based on duration of follow-up and availability of SF-36 data. At age 55, women had a median (IQR) body mass index (BMI; calculated as weight in kilograms divided by height in meters squared) of 27.0 (23.2-32.6), a median (IQR) baseline PCS of 53.1 (46.8-56.7), 108 women (9.9%) were current smokers, and 938 women (86.3%) had at least 1 comorbidity. Between ages 55 and 65 years, the median (IQR) change in PCS was −1.02 (−6.11 to 2.53) points with 206 women (18.9%) experiencing declines of 8 points or more. In multivariable models, factors associated with clinically important decline included higher baseline PCS (odds ratio [OR], 1.08; 95% CI, 1.06-1.11), greater BMI (OR, 1.06; 95% CI, 1.03-1.09), less educational attainment (OR, 1.87; 95% CI, 1.32-2.65), current smoking (OR, 1.93; 95% CI, 1.14-3.26), osteoarthritis (OR, 1.46; 95% CI, 1.01-2.09), clinically significant depressive symptoms (OR, 2.03; 95% CI, 1.34-3.09), and cardiovascular disease (OR, 2.06; 95% CI, 1.26-3.36). Conclusions and Relevance In this cohort study, clinically important declines in women’s physical health and function were relatively common between ages 55 and 65 years. Several variables associated with these declines were identified as potentially useful components in a clinical score identifying women at increased risk of physical health and functional declines.

BACKGROUND: Hydroxychloroquine (HCQ) is the standard of care medication for most SLE patients, however nonadherence is common. We investigated longitudinal patterns and predictors of nonadherence to HCQ in a U.S. SLE cohort of HCQ initiators. METHODS: We used Medicaid data from 28 states to identify adults 18–65 years with prevalent SLE. We included HCQ initiators following ≥6 months without use, and required ≥1 year of follow-up after first dispensing (index date). We used the proportion of days covered (PDC) to describe overall HCQ adherence (

Background: Hyperuricemia and gout are associated with an increased risk of cardiovascular disease. Xanthine oxidase inhibitors, allopurinol and febuxostat, are the mainstay of urate-lowering treatment for gout and may have different effects on cardiovascular risk in patients with gout. Methods: Using US Medicare claims data (2008–2013), we conducted a cohort study for comparative cardiovascular safety of initiating febuxostat versus allopurinol among patients with gout ≥65 years of age. The primary outcome was a composite end point of hospitalization for myocardial infarction or stroke. Secondary outcomes were individual end points of hospitalization for myocardial infarction, stroke, coronary revascularization, new and recurrent heart failure, and all-cause mortality. We used propensity score matching with a ratio of 1:3 to control for confounding. We estimated incidence rates and hazard ratios for primary and secondary outcomes in the propensity score–matched cohorts of febuxostat and allopurinol initiators. Results: We included 24 936 febuxostat initiators propensity score–matched to 74 808 allopurinol initiators. The median age was 76 years, 52% were male, and 12% had cardiovascular disease at baseline. The incidence rate per 100 person-years for the primary outcome was 3.43 in febuxostat and 3.36 in allopurinol initiators. The hazard ratio for the primary outcome was 1.01 (95% CI, 0.94–1.08) in the febuxostat group compared with the allopurinol group. Risk of secondary outcomes including all-cause mortality was similar in both groups, except for a modestly decreased risk of heart failure exacerbation (hazard ratio, 0.94; 95% CI, 0.91–0.99) in febuxostat initiators. The hazard ratio for all-cause mortality associated with long-term use of febuxostat (>3 years) was 1.25 (95% CI, 0.56–2.80) versus allopurinol. Subgroup and sensitivity analyses consistently showed similar cardiovascular risk in both groups. Conclusions: Among a cohort of 99 744 older Medicare patients with gout, overall there was no difference in the risk of myocardial infarction, stroke, new-onset heart failure, coronary revascularization, or all-cause mortality between patients initiating febuxostat compared with allopurinol. However, there seemed to be a trend toward an increased, albeit not statistically significant, risk for all-cause mortality in patients who used febuxostat for >3 years versus allopurinol for >3 years. The risk of heart failure exacerbation was slightly lower in febuxostat initiators.

Objectives: Describe the development and feasibility of a telephone peer support program that provides education, emotional support, and enhances coping skills among rheumatoid arthritis (RA) patients. Methods: In an academic arthritis center, peer coaches received 5 training modules: 1) definition and expectations of peer coaching, 2) structure/management of phone calls, 3) confidentiality, 4) psychological techniques for encounters, 5) referral guidelines and resources. Follow-up, acceptability and comparison with patients receiving standard care included mean adjusted change differences at 6 months in fatigue, pain, self-efficacy, functional status (SF-12), flare frequency and medication adherence (ASK-20). Results: Eighteen peer coaches were assigned on average, 1.7 (SD, 1.4) patients. They spoke 8.4 (SD, 7.2) times; 21 of 29 patients completed the program. The most common topics requested were how to manage flares, 10(48%), medical aspects of RA, 10(48%) and understanding how to live with RA, 9(43%). After 6 months, non-significant improvements occurred in study outcomes (largest changes SF-12 PCS (mean adjusted change (SE) intervention v. standard care, 4.7(2.6) v. 0.5(2.0)) and how RA impacts one’s life (1.8(6.4) v. −4.9(5.8)). Participants reported many benefits from peer support. They felt less alone, 13(62%), more part of a sharing community, 12(57%) and had a better understanding of RA, 9(43%). They felt calmer, 9(43%), less sad,5(24%) and that they had more support from family and friends, 5(24%). Conclusions: An RA telephone peer support program is feasible and acceptable to patients. While the study was underpowered to detect statistical improvements, patients reported benefits suggesting the need for randomized evaluation.

Objective Guidelines exist for the use of low-dose aspirin in the general population for primary cardiovascular (CV) prevention, but the risk-benefit considerations may differ in RA. While RA confers an increased CV risk, such patients more likely use NSAIDs and corticosteroids. Methods We conducted a cohort study to assess potential risks and benefits of low-dose aspirin. We estimated incidence rates and hazard ratios (HRs) using Cox regression among subjects with RA but no known CV disease in the Prospective Randomized Evaluation of Celecoxib Integrated Safety Vs Ibuprofen Or Naproxen trial. The primary exposure of interest was low-dose aspirin, and all enrolled patients were provided open-label esomeprazole. The primary composite outcome was major NSAID toxicity, including major adverse CV event (MACE), clinically significant gastrointestinal events, renal events and all-cause mortality. Results We found 1852 subjects with RA in Prospective Randomized Evaluation of Celecoxib Integrated Safety Vs Ibuprofen Or Naproxen without known CV disease; 540 reported using low-dose aspirin for CV prevention and 1312 did not. Any major NSAID toxicity was observed in 79 (6.0%) non-aspirin users and 37 (6.9%) aspirin users (P = 0.50). Aspirin users experienced all components of the primary outcome at a similar rate to non-users. In fully adjusted models, the risk for major NSAID toxicity was similar between aspirin exposure groups (HR = 1.08, 95% CI: 0.69, 1.69). The risk for MACE was also similar between exposure groups in age- and gender-adjusted models (HR = 1.23, 95% CI: 0.72, 2.10). Conclusion RA patients using low-dose aspirin with chronic NSAIDs and esomeprazole had a similar risk of major NSAID toxicity and MACE as patients who did not.

A treat-to-target (TTT) strategy is recommended in rheumatoid arthritis (RA). However, health care providers' adherence to TTT in clinical practice remains unclear. We examined adherence to TTT in RA at US rheumatology sites.We used baseline information from the randomized controlled Treat-to-Target in RA: Collaboration to Improve Adoption and Adherence trial, which recruited 641 patients from 46 providers practicing at 11 US sites. We obtained data on the implementation of TTT, patient covariates, provider characteristics, and site variables. We examined the implementation of TTT using 4 cardinal features: recording a disease target, recording a disease activity measure, engaging in shared decision-making, and changing treatment if not at disease target. These features were assessed across sites and providers. We calculated a TTT implementation score as the percentage of features noted. We examined the association between patient, provider, and site covariates and TTT implementation score using proportional odds models.The implementation of TTT at baseline was suboptimal: 64.3% of visits had none of the TTT components present, 33.1% had 1 component, 2.3% had 2 components, and 0.3% had all components. The implementation of TTT was significantly different across providers and sites (P0.0001 for all). In the multivariable model, we observed that more experience as a rheumatologist was associated with a higher implementation score (P = 0.01 for trend). Compared with fellows, providers with20 years of experience in practice were more likely to have more TTT components recorded (odds ratio 7.68 [95% confidence interval 1.46-40.52]).We found that adherence to a TTT strategy in RA was suboptimal, and it differed across providers and sites.

The safety of nonsteroidal anti-inflammatory drug (NSAID) and aspirin coadministration is uncertain.The aim of this study was to compare the safety of combining NSAIDs with low-dose aspirin.This analysis of the PRECISION (Prospective Randomized Evaluation of Celecoxib Integrated Safety Versus Ibuprofen or Naproxen) trial included 23,953 patients with osteoarthritis or rheumatoid arthritis at increased cardiovascular risk randomized to celecoxib, ibuprofen, or naproxen. The on-treatment population was used for this study. Outcomes included composite major adverse cardiovascular events, noncardiovascular death, gastrointestinal or renal events, and components of the composite. Cox proportional hazards models compared outcomes among NSAIDs stratified by aspirin use following propensity score adjustment. Kaplan-Meier analysis was used to compare the cumulative probability of events.When taken without aspirin, naproxen or ibuprofen had greater risk for the primary composite endpoint compared with celecoxib (hazard ratio [HR]: 1.52; 95% confidence interval [CI]: 1.22 to 1.90, p 0.001; and HR: 1.81; 95% CI: 1.46 to 2.26; p 0.001, respectively). Compared with celecoxib, ibuprofen had more major adverse cardiovascular events (p 0.05), and both ibuprofen and naproxen had more gastrointestinal (p 0.001) and renal (p 0.05) events. Taken with aspirin, ibuprofen had greater risk for the primary composite endpoint compared with celecoxib (HR: 1.27; 95% CI: 1.06 to 1.51; p 0.01); this was not significantly higher with naproxen (HR: 1.18; 95% CI: 0.98 to 1.41; p = 0.08). Among patients on aspirin, major adverse cardiovascular events were similar among NSAIDs, and compared with celecoxib, ibuprofen had more gastrointestinal and renal events (p 0.05), while naproxen had more gastrointestinal events (p 0.05), without a difference in renal events. Similar results were seen on adjusted Kaplan-Meier analysis.Celecoxib has a more favorable overall safety profile than naproxen or ibuprofen when taken without aspirin. Adding aspirin attenuates the safety advantage of celecoxib, although celecoxib is still associated with fewer gastrointestinal events than ibuprofen or naproxen and fewer renal events than ibuprofen. (Prospective Randomized Evaluation of Celecoxib Integrated Safety vs Ibuprofen or Naproxen [PRECISION]; NCT00346216).

Objective We described the clinical profile and outcomes of patients with SLE and RA diseases reported to the Brazilian Health Information System with primary dengue infection. Methods Databases from the Brazilian Public Health Informatics System (SUS) were linked as the source of information. Three databases comprising different longitudinal information of lupus or rheumatoid arthritis (RA) patients under treatment and care through the Brazilian Health System were linked. Patients who had lupus ICD-9 code or RA ICD-9 code and their treatment approved by SUS were included in the study. In Study 1, we described the clinical characteristics of RA/lupus patients who had dengue infection. In Study 2, we compared RA/lupus patients with or without dengue for hospitalization rates after index dengue diagnosis for dengue-exposed or matching date for dengue-unexposed. Results We included 69 SLE and 301 RA patients with dengue. In the RA/lupus with dengue case series, hospitalization was found in 24.6% of lupus subjects and of 11.2% of RA subjects. It differed by geographic region (p=0.03), gender (p=0.05) and the use of azathioprine (p=0.02). Dengue was the most frequent reason for hospitalization reported (43.0%). Hospitalization due to dengue was noted in 12 (42.9%) dengue-exposed patients (p=0.02), while rheumatoid arthritis was reported as the cause of hospitalization in 22.2% of dengue-unexposed (p=0.005). Five deaths were reported among the dengue-exposed and none among dengue unexposed. Bacterial infection was the most frequent cause of death. We found that the dengue exposure was associated with an increased risk of hospitalization outcome in RA and lupus patients (RR 6.2; 95% CI 2.99 - 12.94). Summary We found that when comparing RA/lupus patients with or without dengue, dengue-exposed patients had an increased rates of hospitalization and death.

To assess whether more frequent fish consumption is associated with lower rheumatoid arthritis (RA) disease activity scores among participants in an RA cohort.We conducted a cross-sectional analysis using baseline data from participants in the Evaluation of Subclinical Cardiovascular Disease and Predictors of Events in Rheumatoid Arthritis cohort study. Frequency of fish consumption was assessed by a baseline food frequency questionnaire assessing usual diet in the past year. Multivariable, total energy-adjusted linear regression models provided effect estimates and 95% confidence intervals (95% CIs) for frequency of fish consumption (i.e., never to1 time/month, 1 time/month to1 time/week, 1 time/week, and ≥2 times/week) on baseline Disease Activity Score in 28 joints (DAS28) using the C-reactive protein (CRP) level. We also estimated the difference in DAS28-CRP associated with increasing fish consumption by 1 serving per week.Among 176 participants, the median DAS28-CRP score was 3.5 (interquartile range 2.9-4.3). In an adjusted linear regression model, subjects consuming fish ≥2 times/week had a significantly lower DAS28-CRP compared with subjects who ate fish never to1 time/month (difference -0.49 [95% CI -0.97, -0.02]). For each additional serving of fish per week, DAS28-CRP was significantly reduced by 0.18 (95% CI -0.35, -0.004).Our findings suggest that higher intake of fish may be associated with lower disease activity in RA patients.

Purpose To examine the effects of analgesics on bone mineral density (BMD), which have not been examined in a longitudinal study with multiple measurements. Methods We investigated changes in BMD associated with new use of analgesics in a prospective longitudinal cohort of mid-life women. BMD and medication use were measured annually. We compared BMD among new users of acetaminophen, NSAIDs, and opioids. Adjustment for baseline covariates was conducted through propensity score matching weights. On-treatment analysis was conducted with inverse probability of censoring weights. Analysis based on the initial treatment group was also conducted to provide insights into selection bias. Repeated BMD measurements were examined with generalized estimating equations. Results We identified 71 acetaminophen new users, 659 NSAID new users, and 84 opioid new users among 2365 participants. In the on-treatment analysis, the opioid group in comparison to the acetaminophen group had an additional average BMD decline of -0.06% [-1.24, 1.11] per year in the spine and -0.45% [-1.51, 0.61] per year in the femoral neck. BMD mean trajectories over time suggested a fifth-year decline in the opioid persistent users compared with other 2 groups. In the initial treatment group analysis, all 3 groups showed similar trajectories. Conclusion The BMD decline over time was similar among the 3 groups. However, 5 years of continuous opioid use may be associated with a greater BMD decline than 5 years on other analgesics. Further studies examining the relationship between very long-term persistent opioid use and BMD are warranted.

Objective Patients with rheumatoid arthritis (RA) often ask whether specific foods, popularized as inflammatory or antiinflammatory, can improve or worsen their RA. Patients with RA took a survey on diet and RA symptoms, and the survey data were collected and analyzed. Methods A dietary survey was mailed to 300 subjects in a single-center RA registry at a large academic center. Subjects were asked about their consumption of 20 foods and whether these foods make their RA symptoms better, worse, or unchanged. Semiannual registry data include demographics, medications, comorbidities, and disease activity scores. Fisher's exact test and Wilcoxon's rank sum tests evaluated associations between subject characteristics from the most recent registry assessment and changes in RA symptoms from specific foods. Results Of the 217 subjects (72% response rate), 83% were female; the median RA duration was 17 years (interquartile range 9–27 years), and 58% were taking a biologic disease-modifying antirheumatic drug. Twenty-four percent of subjects reported that foods affect their RA symptoms, with 15% reporting improvement and 19% reporting worsening. Blueberries and spinach were the foods most often reported to improve RA symptoms, while soda with sugar and desserts were those most often reported to worsen RA symptoms. Younger age and noting that sleep, warm room temperature, and vitamin/mineral supplements improve RA were each associated with reporting that foods affect RA symptoms. Medication use, sex, body mass index, smoking, disease duration, disease activity scores, and self-reported RA flares were not associated with reporting that foods affect RA. Conclusion Nearly one-quarter of RA subjects with longstanding disease reported that diet had an effect on their RA symptoms.

Aims Non-steroidal anti-inflammatory drugs (NSAIDs), both non-selective and selective cyclooxygenase-2 (COX-2) inhibitors, are among the most widely prescribed drugs worldwide, but associate with increased blood pressure (BP) and adverse cardiovascular (CV) events. PRECISION-ABPM, a substudy of PRECISION was conducted at 60 sites, to determine BP effects of the selective COX-2 inhibitor celecoxib vs. the non-selective NSAIDs naproxen and ibuprofen. Methods and results In this double-blind, randomized, multicentre non-inferiority CV-safety trial, 444 patients (mean age 62 ± 10 years, 54% female) with osteoarthritis (92%) or rheumatoid arthritis (8%) and evidence of or at increased risk for coronary artery disease received celecoxib (100–200 mg bid), ibuprofen (600–800 mg tid), or naproxen (375–500 mg bid) with matching placebos in a 1: 1: 1 allocation, to assess the effect on 24-h ambulatory BP after 4 months. The change in mean 24-h systolic BP (SBP) in celecoxib, ibuprofen and naproxen-treated patients was -0.3 mmHg [95% confidence interval (CI), −2.25, 1.74], 3.7 (95% CI, 1.72, 5.58) and 1.6 mmHg (95% CI, −0.40, 3.57), respectively. These changes resulted in a difference of − 3.9 mmHg (P = 0.0009) between celecoxib and ibuprofen, of − 1.8 mmHg (P = 0.12) between celecoxib and naproxen, and of − 2.1 mmHg (P = 0.08) between naproxen and ibuprofen. The percentage of patients with normal baseline BP who developed hypertension (mean 24-h SBP ≥ 130 and/or diastolic BP ≥ 80 mmHg) was 23.2% for ibuprofen, 19.0% for naproxen, and 10.3% for celecoxib (odds ratio 0.39, P = 0.004 and odds ratio 0.49, P = 0.03 vs. ibuprofen and naproxen, respectively). Conclusions In PRECISION-ABPM, allocation to the non-selective NSAID ibuprofen, compared with the COX-2 selective inhibitor celecoxib was associated with a significant increase of SBP, and a higher incidence of new-onset hypertension. ClinicalTrials gov number NCT00346216

Ten biologic disease-modifying antirheumatic drugs (bDMARDs) are available as treatment for rheumatoid arthritis (RA), but relatively little is known about population-level time trends in the use of these agents.To describe time trends in the use of bDMARDs in RA patients with private or public insurance in the United States.Claims data from private (Optum Clinformatics, 2004-2015) and public (Medicaid Analytic eXtract [MAX], 2000-2010) insurance programs were used. Patients with RA diagnosis codes and continuous health plan enrollment for 1-year baseline and 1-year follow-up periods were identified into 2 separate cohorts: (1) patients not using any bDMARD or (2) patients using a single bDMARD during the baseline period. Initiation of the first bDMARD from group 1 and switch to a second bDMARD from group 2 was identified as the outcome of interest during the 1-year follow-up period. Using mixed-effects regression models, we calculated yearly rates of initiation and switch for bDMARDs, adjusted for case-mix. We also described the proportion of all initiations and switches accounted for by each agent.There were 113,031 RA patients with public insurance and 97,751 RA patients with private insurance who were included in the study. The rates of initiation of bDMARDs (per 100 patients) increased significantly over time in Medicaid data for incident RA patients (from 1.1 to 3.1, P = 0.0006) and prevalent RA patients (from 4.6 to 10.9, P = 0.008). In Optum Clinformatics data, the rates were stable, with 7.7 to 8.3 per 100 incident RA patients (P = 0.10) and 11.0 to 11.5 per 100 prevalent RA patients (P = 0.12). The rates of switching (per 100 patients) increased over time from 6.4 to 16.0 (P = 0.04) in Medicaid data and 9.1 to 17.0 (P = 0.00003) in Optum Clinformatics data. Use of etanercept as the most common first-line agent was stable at approximately 50% of all biologic initiations, but use of infliximab decreased and the use of newer agents increased.More RA patients used bDMARDs in recent years, and use of newer agents, including certolizumab, golumumab, and tocilizuamab, is rising, which highlights a need for further comparative safety and effectiveness research of these agents to better guide evidence-based decision making.This study was supported by an investigator-initiated research grant from Pfizer. The study was conducted by the authors independent of the sponsor. The sponsor was given the opportunity to make nonbinding comments on a draft of the manuscript, but the authors retained the right of publication and determined the final wording. Solomon receives salary support through research support to his hospital from Amgen, Pfizer, AstraZeneca, Genentech, Lilly, Bristol-Myers Squibb, and CORRONA. Kim receives research grants from AstraZeneca, Lilly, Pfizer, Bristol-Myers Squibb, and Genentech. Desai receives research grants from Merck. Study concept and design were contributed by Desai and Kim. Liu took the lead in data collection, along with Jin, Desai, and Kim. All authors contributed equally in the interpretation of the results. The manuscript was written and revised primarily by Desai, along with Kim and the other authors.

Propensity score matching is a commonly used tool. However, its use in settings with more than two treatment groups has been less frequent. We examined the performance of a recently developed propensity score weighting method in the three-treatment group setting.The matching weight method is an extension of inverse probability of treatment weighting (IPTW) that reweights both exposed and unexposed groups to emulate a propensity score matched population. Matching weights can generalize to multiple treatment groups. The performance of matching weights in the three-group setting was compared via simulation to three-way 1:1:1 propensity score matching and IPTW. We also applied these methods to an empirical example that compared the safety of three analgesics.Matching weights had similar bias, but better mean squared error (MSE) compared with three-way matching in all scenarios. The benefits were more pronounced in scenarios with a rare outcome, unequally sized treatment groups, or poor covariate overlap. IPTW's performance was highly dependent on covariate overlap. In the empirical example, matching weights achieved the best balance for 24 out of 35 covariates. Hazard ratios were numerically similar to matching. However, the confidence intervals were narrower for matching weights.Matching weights demonstrated improved performance over three-way matching in terms of MSE, particularly in simulation scenarios where finding matched subjects was difficult. Given its natural extension to settings with even more than three groups, we recommend matching weights for comparing outcomes across multiple treatment groups, particularly in settings with rare outcomes or unequal exposure distributions. See video abstract at, http://links.lww.com/EDE/B188.

Objective While tocilizumab (TCZ) is known to increase low-density lipoprotein (LDL) cholesterol levels, it is unclear whether TCZ increases cardiovascular risk in patients with rheumatoid arthritis (RA). This study was undertaken to compare the cardiovascular risk associated with receiving TCZ versus tumor necrosis factor inhibitors (TNFi). Methods To examine comparative cardiovascular safety, we conducted a cohort study of RA patients who newly started TCZ or TNFi using claims data from Medicare, IMS PharMetrics, and MarketScan. All patients were required to have previously used a different TNFi, abatacept, or tofacitinib. The primary outcome measure was a composite cardiovascular end point of hospitalization for myocardial infarction or stroke. TCZ initiators were propensity score matched to TNFi initiators with a variable ratio of 1:3 within each database, controlling for >65 baseline characteristics. A fixed-effects model combined database-specific hazard ratios (HRs). Results We included 9,218 TCZ initiators propensity score matched to 18,810 TNFi initiators across all 3 databases. The mean age was 72 years in Medicare, 51 in PharMetrics, and 53 in MarketScan. Cardiovascular disease was present at baseline in 14.3% of TCZ initiators and 13.5% of TNFi initiators. During the study period (mean ± SD 0.9 ± 0.7 years; maximum 4.5 years), 125 composite cardiovascular events occurred, resulting in an incidence rate of 0.52 per 100 person-years for TCZ initiators and 0.59 per 100 person-years for TNFi initiators. The risk of cardiovascular events associated with TCZ use versus TNFi use was similar across all 3 databases, with a combined HR of 0.84 (95% confidence interval 0.56–1.26). Conclusion This multi-database population-based cohort study showed no evidence of an increased cardiovascular risk among RA patients who switched from a different biologic drug or tofacitinib to TCZ versus to a TNFi.

Background The collection of routine clinical data in the setting of research registries can serve an important role in understanding real world care. However, relatively little is known about the patient experience in registries, motivating us to survey patients enrolled in two chronic disease registries. Methods We conducted similar surveys in two disease-based registries based at one academic medical center in the US. One group of patients with rheumatoid arthritis (RA) had been enrolled in a registry, and we focused on retention factors. In a second group of patients with inflammatory bowel disease (IBD) recently enrolled or considering enrollment, we examined factors that would influence their enrollment and willingness to answer frequent questionnaires and give biospecimens. The surveys were analyzed using descriptive statistics and the two cohorts were compared using nonparametric and chi-square tests. Results We received 150 (50%) completed surveys from RA and 169 (63%) from IBD patients. Mean age of subjects was 62 years in RA and 43 in IBD with more women respondents with RA (83%) than IBD (62%). The two groups described very similar factors as the top three motivations for participation: desire to help others, desire to improve care of own disease, and ease of volunteering. Preferred methods of surveying included mail, e-mail, but telephone was not favored; age was an important correlate of this preference. Respondents preferred surveys either every 1–3 months (28.7% RA and 55.0% IBD) or every 4–6 months (50.7% RA and 29.0% IBD). They differed in the preference for payment for answering surveys with 68.0% with RA answering that no payment was necessary but only 36.1% with IBD felt similarly. Conclusions Patients engaged in clinical registries demonstrate a high level of commitment to improve care and many report a willingness to answer questions relatively frequently. Electronic supplementary material The online version of this article (doi:10.1186/s12874-017-0343-3) contains supplementary material, which is available to authorized users.

Objective To quantify differences and determine the factors contributing to the difference in patient global assessment of rheumatoid arthritis (RA) disease activity (PtGA) between RA patients with multiple morbidities (RA-MM) and those with RA only. Methods We compared the PtGA between RA-MM patients and those with RA only, followed up in a longitudinal cohort (n = 1,040). In analyses performed on RA-MM patients (n = 575) and those with RA only (matched for swollen joint count, tender joint count, evaluator global assessment, and disease duration), the mean difference in PtGA (ΔPtGA) between the 2 groups was assessed. The contribution of patient characteristics to the explained variation of ΔPtGA in the matched cohort was calculated as semipartial R2 and summarized as the percentage of the total R2 in linear regression models. Results RA-MM patients reported higher (or worse) PtGA, with an increased PtGA associated with more morbidities (P for linear trend

The development of pain is common in midlife, resulting in increased health care utilization and costs. The aim of this study was to determine the longitudinal trajectory of overall bodily pain among women during the transition between the reproductive years and menopause. We conducted analyses on a community-based, longitudinal cohort of women enrolled in the Study of Women's Health Across the Nation. One thousand four hundred ninety-five women met inclusion criteria, including: 1) defined date of the final menstrual period (FMP), and 2) complete data on Short Form-36 bodily pain. The primary exposure was time to/from the FMP. The primary outcome was the rate of change in Short Form-36 bodily pain, measured on a scale of 0 to 100 with 100 being the most severe pain. We performed within-person trajectory analyses using piecewise regression following nonparametric modeling of functional forms. Mean bodily pain score at the time of the FMP was 29. Mean bodily pain increased at a rate of .26 per year during the transmenopause (the interval spanning 4.5 years before the FMP through .5 years after the FMP), and decreased at a rate of .23 per year after that. Depression and sleep problems were associated with greater increases in pain during the late reproductive years, whereas abdominal cramps at baseline predicted greater decreases in pain during the late reproductive years. Perspective This article shows that bodily pain increases during the transmenopause and then diminishes during postmenopause. These differences may reflect differences in underlying mechanisms of pain in the 2 periods. Although mean changes were small and unlikely to be clinically meaningful, the magnitude of change varied across subgroups of women.

The cardiovascular safety of celecoxib, as compared with nonselective nonsteroidal antiinflammatory drugs (NSAIDs), remains uncertain.Patients who required NSAIDs for osteoarthritis or rheumatoid arthritis and were at increased cardiovascular risk were randomly assigned to receive celecoxib, ibuprofen, or naproxen. The goal of the trial was to assess the noninferiority of celecoxib with regard to the primary composite outcome of cardiovascular death (including hemorrhagic death), nonfatal myocardial infarction, or nonfatal stroke. Noninferiority required a hazard ratio of 1.12 or lower, as well as an upper 97.5% confidence limit of 1.33 or lower in the intention-to-treat population and of 1.40 or lower in the on-treatment population. Gastrointestinal and renal outcomes were also adjudicated.A total of 24,081 patients were randomly assigned to the celecoxib group (mean [±SD] daily dose, 209±37 mg), the naproxen group (852±103 mg), or the ibuprofen group (2045±246 mg) for a mean treatment duration of 20.3±16.0 months and a mean follow-up period of 34.1±13.4 months. During the trial, 68.8% of the patients stopped taking the study drug, and 27.4% of the patients discontinued follow-up. In the intention-to-treat analyses, a primary outcome event occurred in 188 patients in the celecoxib group (2.3%), 201 patients in the naproxen group (2.5%), and 218 patients in the ibuprofen group (2.7%) (hazard ratio for celecoxib vs. naproxen, 0.93; 95% confidence interval [CI], 0.76 to 1.13; hazard ratio for celecoxib vs. ibuprofen, 0.85; 95% CI, 0.70 to 1.04; P0.001 for noninferiority in both comparisons). In the on-treatment analysis, a primary outcome event occurred in 134 patients in the celecoxib group (1.7%), 144 patients in the naproxen group (1.8%), and 155 patients in the ibuprofen group (1.9%) (hazard ratio for celecoxib vs. naproxen, 0.90; 95% CI, 0.71 to 1.15; hazard ratio for celecoxib vs. ibuprofen, 0.81; 95% CI, 0.65 to 1.02; P0.001 for noninferiority in both comparisons). The risk of gastrointestinal events was significantly lower with celecoxib than with naproxen (P=0.01) or ibuprofen (P=0.002); the risk of renal events was significantly lower with celecoxib than with ibuprofen (P=0.004) but was not significantly lower with celecoxib than with naproxen (P=0.19).At moderate doses, celecoxib was found to be noninferior to ibuprofen or naproxen with regard to cardiovascular safety. (Funded by Pfizer; ClinicalTrials.gov number, NCT00346216 .).

Objectives This study aimed to compare comorbidities and biologic DMARD (bDMARD) use between AS and non-radiographic axial SpA (nr-axSpA) patients, using a large cohort of patients from routine clinical practice in the United States. Methods We performed a cross-sectional study using electronic medical records from two academic hospitals in the United States. Data were extracted using automated searches (⩾3 ICD codes combined with text searches) and supplemented with manual chart review. Patients were categorized into AS or nr-axSpA according to classification criteria. Disease features, comorbidities (from a list of 39 chronic conditions) and history of bDMARD prescription were compared using descriptive statistics. Results Among 965 patients identified, 775 (80%) were classified as having axSpA. The cohort was predominantly male (74%) with a mean age of 52.5 years (s.d. 16.8). AS patients were significantly older (54 vs 46 years), more frequently male (77% vs 64%) and had higher serum inflammatory markers than those with nr-axSpA (median CRP 3.4 vs 2.2 mg/dl). Half of all patients had at least one comorbidity. The mean number of comorbidities was 1.5 (s.d. 2.2) and similar between AS and nr-axSpA groups. A history of bDMARD-use was seen in 55% of patients with no difference between groups. The most commonly prescribed bDMARDs were adalimumab (31%) and etanercept (29%). Ever-prescriptions of individual bDMARDs were similar between AS and nr-axSpA. Conclusion Despite age differences, nr-axSpA patients had similar comorbidity burdens as those with AS. Both groups received comparable bDMARD treatment in this United States clinic-based cohort.

Objective.Little is known about acute calcium pyrophosphate (CPP) crystal arthritis flare rates and risk factors for recurrence. We characterized flares and determined the rate and predictors of acute CPP crystal arthritis flares in an academic medical center cohort.Methods.We performed a retrospective cohort study among a random sample of patients with acute CPP crystal arthritis identified in the Partners HealthCare electronic medical record, 1991–2017. Flare was defined as self-limited, acute-onset synovitis with synovial fluid CPP crystals and/or chondrocalcinosis, not better explained by another cause. We calculated incidence rates (IR) for acute CPP crystal arthritis flare among all subjects and by sex. We estimated HR for recurrent flare using univariate Cox models that accounted for within-person correlated data.Results.We identified 70 patients with acute CPP crystal arthritis with a total of 111 flares. Recurrent flares occurred in 24% of patients; half of flares occurred in a previously unaffected joint. The acute CPP crystal arthritis flare rate was 11.4 per 100 person-years overall (95% CI 8.2–15.4), 14.2 in women (95% CI 9.6–0.1), and 7.1 in men (95% CI 3.4–13.0). Cancer (HR 2.98, 95% CI 1.33–6.68) and chronic kidney disease (HR 2.92, 95% CI 1.10–7.76) were associated with a higher rate for recurrent flare.Conclusion.Recurrent flares occurred in about one-fourth of patients with acute CPP crystal arthritis and often occurred in previously unaffected joints. The acute CPP crystal arthritis flare rate was twice as high in women as in men.

ObjectivesTo develop classification algorithms that accurately identify axial SpA (axSpA) patients in electronic health records, and compare the performance of algorithms incorporating free-text data against approaches using only International Classification of Diseases (ICD) codes.MethodsAn enriched cohort of 7853 eligible patients was created from electronic health records of two large hospitals using automated searches (⩾1 ICD codes combined with simple text searches). Key disease concepts from free-text data were extracted using NLP and combined with ICD codes to develop algorithms. We created both supervised regression-based algorithms—on a training set of 127 axSpA cases and 423 non-cases—and unsupervised algorithms to identify patients with high probability of having axSpA from the enriched cohort. Their performance was compared against classifications using ICD codes only.ResultsNLP extracted four disease concepts of high predictive value: ankylosing spondylitis, sacroiliitis, HLA-B27 and spondylitis. The unsupervised algorithm, incorporating both the NLP concept and ICD code for AS, identified the greatest number of patients. By setting the probability threshold to attain 80% positive predictive value, it identified 1509 axSpA patients (mean age 53 years, 71% male). Sensitivity was 0.78, specificity 0.94 and area under the curve 0.93. The two supervised algorithms performed similarly but identified fewer patients. All three outperformed traditional approaches using ICD codes alone (area under the curve 0.80–0.87).ConclusionAlgorithms incorporating free-text data can accurately identify axSpA patients in electronic health records. Large cohorts identified using these novel methods offer exciting opportunities for future clinical research.