Urate-lowering therapy, serum urate, inflammatory biomarkers, and renal function in patients with gout following pegloticase discontinuation.

BACKGROUND/PURPOSE: Little is known about long-term clinical outcomes or urate-lowering (ULT) therapy use following pegloticase discontinuation. We examined ULT use, serum urate (SU), inflammatory biomarkers, and renal function following pegloticase discontinuation. METHODS: We conducted a retrospective analysis of gout patients who discontinued pegloticase using the Rheumatology Informatics System for Effectiveness (RISE) registry from 1/2016 to 6/2022. We defined discontinuation as a gap ≥ 12 weeks after last infusion. We examined outcomes beginning two weeks after last dose and identified ULT therapy following pegloticase discontinuation. We evaluated changes in lab values (SU, eGFR, CRP and ESR), comparing on- treatment (≤ 15 days of the second pegloticase dose) to post-treatment. RESULTS: Of the 375 gout patients discontinuing pegloticase, median (IQR) laboratory changes following discontinuation were: SU: +2.4 mg/dL (0.0,6.3); eGFR: -1.9 mL/min (- 8.7,3.7); CRP: -0.8 mg/L (-12.8,0.0); and ESR: -4.0 mm/hr (-13.0,0.0). Therapy post-discontinuation included oral ULTs (86.0%), restarting pegloticase (4.5%), and no documentation of ULT (9.5%), excluding patients with multiple same-day prescriptions (n = 17). Oral ULTs following pegloticase were: 62.7% allopurinol, 34.1% febuxostat. The median (IQR) time to starting/restarting ULT was 92.0 days (55.0,173.0). Following ULT prescribing (≥ 30 days), only 51.0% of patients had SU < 6 mg/dL. Patients restarting pegloticase achieved a median SU of 0.9 mg/dL (IQR:0.2,9.7) and 58.3% had an SU < 6 mg/dL. CONCLUSION: Pegloticase treats uncontrolled gout in patients with failed response to xanthine oxidase inhibitors, but among patients who discontinue, optimal treatment is unclear. Based on this analysis, only half of those starting another ULT achieved target SU. Close follow-up is needed to optimize outcomes after pegloticase discontinuation.

Prevalence and Factors Associated With Patient-Clinician Discordance Among Patients With Rheumatoid Arthritis Initiating Advanced Therapy.

OBJECTIVE: To describe and identify associated factors for patient-clinician discordance of disease assessment at biologic or Janus kinase inhibitor (JAKi) initiation and over 12 months following initiation in patients with rheumatoid arthritis (RA) from a US RA registry. METHODS: Analyses included CorEvitas RA Registry patients who initiated their first biologic or JAKi on or after February 1, 2015, and had 6- and 12-month follow-up visits. Positive discordance was defined as patient global assessment (visual analog scale [VAS-100]) minus physician's global assessment (VAS-100) equal to 30 points or more. Persistent discordance was defined as positive discordance at all three visits. Mixed-effects logistic regression was used to determine risk factors for positive discordance at initiation and for persistent discordance. RESULTS: Among 2227 first-time biologic/JAKi-initiating patients, 613 had both follow-up visits available and were included in initiation visit analyses, and of these, 163 had positive discordance at initiation and were included in persistent discordance analyses. About 30% of all patients had positive discordance at any visit, and one third of these (10% total) were persistent at all three visits. Multivariable analyses revealed that worse scores on the Clinical Disease Activity Index, greater patient-reported pain and fatigue, and greater functional impairment were associated with positive discordance at the time of therapy initiation. Being disabled versus working full-time and being female were associated with higher odds and having Medicare versus no insurance was associated with lower odds of having persistent positive discordance. CONCLUSION: Results suggest positive discordance is common among real-world patients with RA initiating their first biologic or JAKi. The identified risk factors associated with patient-clinician discordance will help clinicians foster a more patient-centric discussion in treatment decisions.

Wearable activity tracker study exploring rheumatoid arthritis patients' disease activity using patient-reported outcome measures, clinical measures, and biometric sensor data (the wear study).

Background: Digital health studies using electronic patient reported outcomes (ePROs), wearables, and clinical data to provide a more comprehensive picture of patient health. Methods: Newly initiated patients on upadacitinib or adalimumab for RA will be recruited from community settings in the Excellence NEtwork in RheumatoloGY (ENRGY) practice-based research network. Over the period of three to six months, three streams of data will be collected (1) linkable physician-derived data; (2) self-reported daily and weekly ePROs through the ArthritisPower registry app; and (3) biometric sensor data passively collected via wearable. These data will be analyzed to evaluate correlations among the three types of data and patient improvement on the newly initiated medication. Conclusions: Results from this study will provide valuable information regarding the relationships between physician data, wearable data, and ePROs in patients newly initiating an RA treatment, and demonstrate the feasibility of digital data capture for Remote Patient Monitoring of patients with rheumatic disease.

Home-Based Telemedicine in Rheumatology-A Scoping Review.

OBJECTIVE: We performed a scoping review of the relevant literature on home-based telehealth in rheumatology to understand its appropriate application in rheumatology practice. METHODS: We searched the Cochrane Library, PubMed, Web of Science, and scientific meeting abstracts to identify articles that specifically addressed telehealth suitability, barriers to telehealth, patient-reported outcomes (PROs) collected in telehealth settings, and telehealth satisfaction. From the initial search of 4,882 studies, 23 reports were included. In addition, 10 abstracts were also eligible for analysis, resulting in a total of 33 articles: 2 randomized clinical trials, 9 prospective cohort studies, and 22 retrospective studies. RESULTS: We found that triage appointments or predictive models could be helpful in selecting patients for telehealth and that telehealth interventions were appropriate for follow-up of patients with systemic lupus erythematosus and inflammatory arthritis, but that conducting new patient visits over telehealth was not ideal. Barriers to telehealth include patient factors (age, technology access) and need for physician/process factors (eg, physical examinations). PROs collected in regular practice can be incorporated into telehealth. Several small, single-center studies suggest that telehealth does not lead to negative outcomes compared with in-person visits, and overall, patients report high patient satisfaction with telehealth. In several scenarios, home-based telehealth was equivalent to in-person visits with regard to patient outcomes and satisfaction. CONCLUSION: The widespread potential of telehealth to manage and deliver care for people with rheumatic disease is significant. As such, further research in the form of randomized controlled trials can help contribute to growing evidence that shapes telehealth implementation for patients with rheumatic diseases.

Changes in the Workforce Characteristics of Providers Who Care for Adult Patients With Rheumatologic and Musculoskeletal Disease in the United States.

OBJECTIVE: The aim of this study was to describe the adult rheumatology workforce in the United States, assess change in rheumatology providers over time, and identify variation in rheumatology practice characteristics. METHODS: Using national Medicare claims data from 2006 to 2020, clinically active rheumatology physicians and advanced practice providers (APPs) were identified. Each calendar year was used for inclusion, exclusion, and analysis, and providers were determined to be entering, exiting, or stable based upon presence or absence in the prior or subsequent years of data. Characteristics (age, gender, practice type, rural, and region) of rheumatologists were determined for 2019 and in mutually exclusive study periods from 2009 to 2011, 2012 to 2015, and 2016 to 2019. The location of rheumatology practice was determined by billing tax identification and mapped. Demographics of physicians exiting or entering the rheumatology workforce were compared separately to those stable by logistic regression. RESULTS: The clinically active adult rheumatology workforce identified in US Medicare in 2019 was 5,667 rheumatologists and 379 APPs. From 2009 to 2020, the number of rheumatologists increased 23% and the number of APPs increased 141%. There was an increase in female rheumatologists over time, rising to 43% in 2019. Women and those employed by a health care system were more likely to exit, and those in a small practice or in the South were less likely to exit. CONCLUSION: The overall number of clinically active rheumatology providers grew more than 20% over the last decade to a high of 6,036 in 2020, although this rate of growth appears to be flattening off in later years.

Work Productivity and General Health Through 2 Years of Guselkumab Treatment in a Phase 3 Randomized Trial of Patients With Active Psoriatic Arthritis.

INTRODUCTION: To evaluate the effect of guselkumab on work productivity and nonwork daily activity impairment and general health status through 2 years in patients who were biologic-naïve with active psoriatic arthritis (PsA) in the phase 3 DISCOVER-2 clinical trial. METHODS: Adult patients with PsA were randomized to subcutaneous injections of guselkumab 100 mg every 4 weeks (Q4W); at weeks 0, 4, then every 8 weeks (Q8W); or placebo (through week 24 with crossover to guselkumab Q4W). Work productivity and nonwork daily activity impairment were assessed using the Work Productivity and Activity Impairment Questionnaire for PsA (WPAI-PsA) and patient-reported general health status using the EuroQol 5-Dimension 5-Level (EQ-5D-5L) Index and EQ-Visual Analog Scale (EQ-VAS). Least-squares (LS) mean changes from baseline in WPAI-PsA domains and EQ-5D-5L/EQ-VAS were assessed through week 100. Changes in employment status were utilized to estimate potential indirect savings from improved work productivity. RESULTS: Of 739 randomized patients, 738 had available baseline data for the analyses (Q4W 245; Q8W 248; placebo 245). At week 24, greater improvements in work productivity, nonwork daily activity, and EQ-5D-5L/EQ-VAS were observed in the Q4W and Q8W groups versus the placebo group. At week 100, LS mean reductions in work productivity impairment (- 23.8% to - 28.0%) and nonwork daily activity impairment (- 26.6% to - 29.2%) and improvements in EQ-5D-5L/EQ-VAS (0.14 to 0.15/21.2 to 25.0) were maintained in patients receiving guselkumab. Among patients employed at baseline, 12.1-16.4% were not employed at week 100, and 20.0-25.3% shifted from not employed at baseline to employed at week 100. Potential yearly indirect cost savings (USD) from improved work productivity at week 100 ranged from $16,529 to $19,409. CONCLUSION: Patients with active PsA treated with guselkumab demonstrated reduced impairment in work productivity and nonwork daily activity, together with improvement in general health status and substantial potential cost savings, over a 2-year period. TRIAL REGISTRATION: Clinicaltrials.gov identifier: NCT03158285.

Lower body mass and lower adiposity are associated with differential responses to two treatment strategies for rheumatoid arthritis.

PURPOSE: To determine if body mass index (BMI) and adipokine levels identify rheumatoid arthritis (RA) patients most likely to benefit from initiation of tumour necrosis factor inhibitors (TNFi) after methotrexate inadequate response. METHODS: This is a secondary analysis of the Rheumatoid Arthritis Comparison of Active Treatments (RACAT) trial and the (TEAR) trial. Both studies compared treatment strategies starting with conventional disease-modifying anti-rheumatic drugs (DMARDs) (triple therapy) versus etanercept plus methotrexate. We compared response rates between TNFi and triple therapy among patients with different BMI. Adipokines were measured at enrolment and associations with treatment response were examined using regression, adjusting for age, sex, BMI and baseline disease activity. RESULTS: In RACAT (n=306), participants who were normal/underweight were more likely to benefit from TNFi versus triple therapy, with greater change in Disease Activity Score in 28 and greater ACR20 response (ACR 20: 64% vs 23%, p=0.001). In contrast, overweight/obese participants had similar response to TNFi versus triple therapy (p-for-interaction=0.001). Similarly, but modest patterns were observed in TEAR (n=601; ACR20: 67% vs 52%, p=0.05). In RACAT, adipokine scores consistent with lower adiposity also predicted greater response to TNFi (ACR20: 58% vs 37%, p=0.01) with better model fit compared with BMI alone. CONCLUSIONS: Lower BMI and evidence of lower adiposity based on adipokine profiles were associated with a superior response to TNFi compared with triple therapy. There was no difference between treatments among overweight/obese participants. The results support TNFi being a particularly important therapeutic among normal/underweight patients, with implications for clinical decisions and trial design.

Anti-citrullinated protein antibody profiles predict changes in disease activity in patients with rheumatoid arthritis initiating biologics.

OBJECTIVES: To determine whether an expanded antigen-specific ACPA profile predicts changes in disease activity in patients with RA initiating biologics. METHODS: The study included participants from a prospective, non-randomized, observational RA cohort. For this sub-study, treatment groups of interest included biologic-naïve initiating anti-TNF, biologic-exposed initiating non-TNF, and biologic-naïve initiating abatacept. ACPAs to 25 citrullinated peptides were measured using banked enrolment serum. Principal component analysis (PCA) was performed and associations of resulting principal component (PC) scores (in quartiles) and anti-CCP3 antibody (≤15, 16-250 or >250 U/ml) with EULAR (good/moderate/none) treatment response at 6 months were examined using adjusted ordinal regression models. RESULTS: Participants (n = 1092) had a mean age of 57 (13) years and 79% were women. At 6 months, 68.5% achieved a moderate/good EULAR response. There were three PCs that cumulatively explained 70% of variation in ACPA values. In models including the three components and anti-CCP3 antibody category, only PC1 and PC2 were associated with treatment response. The highest quartile for PC1 (odds ratio [OR] 1.76; 95% CI: 1.22, 2.53) and for PC2 (OR 1.74; 95% CI: 1.23, 2.46) were associated with treatment response after multivariable adjustment. There was no evidence of interaction between PCs and treatment group in EULAR responses (P-value for interaction >0.1). CONCLUSION: An expanded ACPA profile appears to be more strongly associated with biologic treatment response in RA than commercially available anti-CCP3 antibody levels. However, further enhancements to PCA will be needed to effectively prioritize between different biologics available for the treatment of RA.

Filgotinib Demonstrates Efficacy in Rheumatoid Arthritis Independent of Smoking Status: Post Hoc Analysis of Phase 3 Trials and Claims-Based Analysis.

OBJECTIVES: To assess cigarette smoking's effects on efficacy of the preferential Janus kinase (JAK) 1 inhibitor filgotinib and drug persistence in patients with rheumatoid arthritis (RA). METHODS: Efficacy in non-smokers, former smokers, and current smokers from phase 3 filgotinib trials was analyzed, including patients with inadequate response (IR) to methotrexate (MTX) or biologic disease-modifying antirheumatic drugs (bDMARDs) or who were MTX-naïve. Proportions achieving Disease Activity Score in 28 joints with C-reactive protein (DAS28[CRP]) ≤ 3.2 were compared using logistic regression. Retrospective claims-based switching data were reviewed. RESULTS: Week 12 (W12) DAS28(CRP) ≤ 3.2 was achieved by 50, 61, and 62% of MTX-IR non-smokers, former smokers, and current smokers taking filgotinib 200 mg (FIL200) + MTX vs. 23, 16, and 32% taking placebo + MTX (p < 0.001, < 0.001, and 0.001) and 50, 34, and 33% taking adalimumab + MTX (p = 0.97, 0.013, and 0.006 vs. FIL200 + MTX). W12 DAS28(CRP) ≤ 3.2 was achieved by 46, 48, and 32% of bDMARD-IR non-smokers, former smokers, and current smokers taking FIL200 + conventional synthetic disease-modifying antirheumatic drugs (csDMARDs) vs. 16, 23, and 5% taking placebo + csDMARD (p < 0.001, 0.077, and 0.051); 57, 58, and 59% of respective MTX-naïve smoking groups achieved W12 DAS28(CRP) ≤ 3.2 with FIL200 + MTX vs. 28, 37, and 18% with MTX (p < 0.001, 0.026, and < 0.001). Claims data showed former/current smokers were likelier than non-smokers to switch from adalimumab to other biologics or JAK inhibitors. CONCLUSIONS: Greater proportions of MTX-IR current/former smokers responded to FIL200 + MTX vs. adalimumab + MTX. In non-smoking MTX-IR, bDMARD-IR, and MTX-naïve patients with RA, FIL200 + MTX demonstrated increased response vs. controls. Current/former smokers were likelier to discontinue adalimumab vs. non-smokers in real-world clinical settings. TRIAL REGISTRATION: NCT02889796, NCT02873936, NCT02886728.

Decision Impact Analysis to Measure the Influence of Molecular Signature Response Classifier Testing on Treatment Selection in Rheumatoid Arthritis.

INTRODUCTION: Clinical guidelines offer little guidance for treatment selection following inadequate response to conventional synthetic disease-modifying antirheumatic drug (csDMARD) in rheumatoid arthritis (RA). A molecular signature response classifier (MSRC) was validated to predict tumor necrosis factor inhibitor (TNFi) inadequate response. The decision impact of MSRC results on biologic and targeted synthetic disease-modifying antirheumatic drug (b/tsDMARD) selection was evaluated. METHODS: This is an analysis of AIMS, a longitudinal, prospective database of patients with RA tested using the MSRC. This study assessed selection of b/tsDMARDs class after MSRC testing by surveying physicians, the rate of b/tsDMARD prescriptions aligning with MSRC results, and the percentage of physicians utilizing MSRC results for decision-making. RESULTS: Of 1018 participants, 70.7% (720/1018) had treatment selected after receiving MSRC results. In this MSRC-informed cohort, 75.6% (544/720) of patients received a b/tsDMARD aligned with MSRC results, and 84.6% (609/720) of providers reported using MSRC results to guide treatment selection. The most prevalent reason reported (8.2%, 59/720) for not aligning treatment selection with MSRC results from the total cohort was health insurance coverage issues. CONCLUSION: This study showed that rheumatologists reported using the MSRC test to guide b/tsDMARD selection for patients with RA. In most cases, MSRC test results appeared to influence clinical decision-making according to physician self-report. Wider adoption of precision medicine tools like the MSRC could support rheumatologists and patients in working together to achieve optimal outcomes for RA.

Malignancy in the Upadacitinib Clinical Trials for Rheumatoid Arthritis, Psoriatic Arthritis, Ankylosing Spondylitis, and Non-radiographic Axial Spondyloarthritis.

INTRODUCTION: This article aims to describe malignancies in patients with rheumatoid arthritis (RA), psoriatic arthritis (PsA), ankylosing spondylitis (AS), or non-radiographic axial spondyloarthritis (nr-axSpA) treated with upadacitinib (UPA) or active comparators. METHODS: This integrated safety analysis includes data from 11 phase 3 UPA trials across RA (6 trials), PsA (2 trials), AS (2 trials; one phase 2b/3), and nr-axSpA (1 trial). Treatment-emergent adverse events (TEAEs) were summarized for RA (pooled UPA 15 mg [UPA15], pooled UPA 30 mg [UPA30], adalimumab 40 mg [ADA], methotrexate monotherapy [MTX]), PsA (pooled UPA15, pooled UPA30, ADA), AS (pooled UPA15), and nr-axSpA (UPA15). TEAEs were reported as exposure-adjusted event rates (events/100 patient-years). RESULTS: Median treatment duration ranged from 1.0 to 4.0 years (with a maximum of 6.6 years in RA). Across treatments and indications, rates of malignancy excluding nonmelanoma skin cancer (NMSC) ranged from 0.2 to 1.1, while NMSC ranged from 0.0 to 1.4. In RA, rates of malignancy excluding NMSC were generally similar between UPA15, UPA30, ADA, and MTX (breast and lung cancer were the most common). In RA and PsA, Kaplan-Meier analyses revealed no differences in event onset of malignancy excluding NMSC with UPA15 versus UPA30 over time. In RA, NMSC rates were higher with UPA30 than UPA15; both UPA15 and UPA30 were higher than ADA and MTX. In PsA, rates of malignancy excluding NMSC and NMSC were generally similar between UPA15, UPA30, and ADA. In AS and nr-axSpA, malignancies were reported infrequently. Few events of lymphoma were reported across the clinical programs. CONCLUSION: Rates of malignancy excluding NMSC were generally similar between UPA15, UPA30, ADA, and MTX and were consistent across RA, PsA, AS, and nr-axSpA. A dose-dependent increased rate of NMSC was observed with UPA in RA. TRIAL REGISTRATION: ClinicaTrials.gov identifier: NCT02706873, NCT02675426, NCT02629159, NCT02706951, NCT02706847, NCT03086343, NCT03104400, NCT03104374, NCT03178487, and NCT04169373.

Development of an Interactive Tool to Support Shared Decision-Making in Rheumatoid Arthritis: Treatment Attribute Preference.

OBJECTIVE: An interactive tool identifying treatment attributes important to patients can enhance shared decision-making (SDM) in rheumatoid arthritis (RA). A formative survey was conducted to identify the most important treatment attributes from patients' perspective, which can be used to develop an interactive SDM tool. METHODS: The survey was performed in two phases: qualitative interviews and quantitative surveys. The qualitative interviews were conducted to inform the design of the quantitative survey. In qualitative interviews, patients with RA (n = 10) and rheumatologists (n = 10) were introduced to the SDM tool concept. Feedback on the design and scope of the SDM tool was used to develop a quantitative survey, conducted in a large sample size of patients. Patient preferences for treatment attributes (route of administration and dosing frequency, serious side effects, out-of-pocket costs, efficacy, and monitoring requirement) were assessed via adaptive conjoint exercise involving ranking of hypothetical RA treatment configurations. RESULTS: A total of 944 patients (males: 43%, females: 57%) with RA participated in the quantitative survey. Route of administration and dosing frequency (38%) followed by serious side effects (33%) were the two most important treatment attributes for individual patients. The recontact survey (n = 172/944) estimated tool stability of 72% (n = 124/172) in terms of the relative importance of treatment attributes. CONCLUSION: The findings of this survey could be used in the development of an SDM tool that can potentially provide insights into patient preferences and is generally well received by patients and rheumatologists with good agreement and reliability.

Determining patient preferences for the medical management of osteoporosis using conjoint analysis.

We used conjoint analysis-a method that assesses complex decision making-to quantify patients' choices when selecting an osteoporosis therapy. While 60% of people prioritized medication efficacy when deciding among treatments, the remaining 40% highly valued factors other than efficacy, suggesting the need for personalized shared decision-making tools. INTRODUCTION: In this study, we aimed to examine patient decision-making surrounding osteoporosis medications using conjoint analysis. METHODS: We enrolled osteoporosis patients at an academic medical center to complete an online conjoint exercise which calculated each patient's relative importance score of 6 osteoporosis medication attributes (higher = greater relative importance in decision-making). We used latent class analysis to identify distinct segments of patients with similar choice patterns and then used logistic regression to determine if demographics and osteoporosis disease features were associated with latent class assignment. RESULTS: Overall, 304 participants completed the survey. The rank order of medication attributes by importance score was the following: efficacy at preventing hip fractures (accounted for 31.0% of decision making), mode of administration (17.5%); risk of serious side effects (16.6%); dose frequency (13.9%); efficacy at preventing spine fractures (12.5%); risk of non-serious side effects (8.4%). We found that 60.9% of the cohort prioritized medication efficacy as their top factor when selecting among the therapies. Being a college graduate, having stronger beliefs on the necessity of using medications for osteoporosis, and never having used osteoporosis medicines were the only factors associated with prioritizing medication efficacy for fracture prevention over the other factors in the decision-making process. CONCLUSIONS: While about 60% of patients prioritized efficacy when selecting an osteoporosis therapy, the remaining 40% valued other factors more highly. Furthermore, individual patient characteristics and clinical factors did not reliably predict patient decision making, suggesting that development and implementation of shared decision-making tools is warranted.

COVID-19 Vaccine Uptake, Hesitancy, and Flare in a Large Rheumatology Practice Network.

OBJECTIVE: The goal of this study was to ascertain COVID-19 vaccine uptake, reasons for hesitancy, and self-reported flare in a large rheumatology practice-based network. METHODS: A tablet-based survey was deployed by 108 rheumatology practices from December 2021 to December 2022. Patients were asked about COVID-19 vaccine status and why they might not receive a vaccine or booster. We used descriptive statistics to explore the differences between vaccination status and vaccine and booster hesitancy, comparing patients with and without autoimmune and inflammatory rheumatic diseases (AIIRDs). We used multivariable logistic regression to examine the association between vaccine uptake and AIIRD status and self-reported flare and AIIRD status. We reported adjusted odds ratios (aORs). RESULTS: Of the 61,158 patients, 89% reported at least one dose of vaccine; of the vaccinated, 68% reported at least one booster. Vaccinated patients were less likely to have AIIRDs (44% vs 56%). A greater proportion of patients with AIIRDs were vaccine hesitant (14% vs 10%) and booster hesitant (21% vs 16%) compared to patients without AIIRDs. Safety concerns (28%) and side effects (23%) were the main reasons for vaccine hesitancy, whereas a lack of recommendation from the physician was the primary factor for booster hesitancy (23%). Patients with AIIRD did not have increased odds of self-reported flare or worsening disease compared to patients without with AIIRD (aOR 0.99, 95% confidence interval [CI] 0.94-1.05). Among the patients who were vaccine hesitant and booster hesitant, 12% and 39% later reported receiving a respective dose. Patients with AIIRD were 32% less likely to receive a vaccine (aOR 0.68, 95% CI 0.65-0.72) versus patients without AIIRD. CONCLUSION: Some patients who are vaccine and booster hesitant eventually receive a vaccine dose, and future interventions tailored to patients with AIIRD may be fruitful.

Treatment of Polymyalgia Rheumatica by Rheumatology Providers: Analysis from the American College of Rheumatology RISE Registry.

OBJECTIVE: This study describes the demographics, comorbidities, and treatment patterns in a national cohort of patients with polymyalgia rheumatica (PMR) who received care from rheumatology providers. METHODS: Patients with PMR were identified in the American College of Rheumatology Rheumatology Informatics System for Effectiveness registry from 2016 to 2022. Use of glucocorticoids and immunomodulatory antirheumatic medications used as steroid-sparing agents were examined overall and in a subgroup of patients new to rheumatology practices, the majority with presumed new-onset PMR. In these new patients, multivariate logistic regressions were performed to identify factors associated with persistent glucocorticoid and steroid-sparing agent use at 12 to 24 months. RESULTS: A total of 26,102 patients with PMR were identified, of which 16,703 new patients were included in the main analysis. Patients were predominantly female (55.8%) and White (46.7%), with a mean age of 72.0 years. Hypertension (81.2%), congestive heart failure (52.4%), hyperlipidemia (41.3%), and ischemic heart disease (36.0%) were the most prevalent comorbidities. At baseline, 92.3% of patients were on glucocorticoids, and only 13.1% were on a steroid-sparing agent. At 12 to 24 months, most patients remained on glucocorticoids (63.8%). Although there was an increase in use through follow-up, antirheumatic medications were prescribed only to a minority (39.0%) of patients with PMR. CONCLUSION: In this large US-based study of patients with PMR receiving rheumatology care, only a minority of patients were prescribed steroid-sparing agents during the first 24 months of follow-up; most patients remained on glucocorticoids past one year. Further identification of patients who would benefit from steroid-sparing agents and the timing of steroid-sparing agent initiation is needed.

Extracting forced vital capacity from the electronic health record through natural language processing in rheumatoid arthritis-associated interstitial lung disease.

PURPOSE: To develop a natural language processing (NLP) tool to extract forced vital capacity (FVC) values from electronic health record (EHR) notes in patients with rheumatoid arthritis-interstitial lung disease (RA-ILD). METHODS: We selected RA-ILD patients (n = 7485) in the Veterans Health Administration (VA) between 2000 and 2020 using validated ICD-9/10 codes. We identified numeric values in proximity to FVC string patterns from clinical notes in the EHR. Subsequently, we performed processing steps to account for variability in note structure, related pulmonary function test (PFT) output, and values copied across notes, then assigned dates from linked administrative procedure records. NLP-derived FVC values were compared to values recorded directly from PFT equipment available on a subset of patients. RESULTS: We identified 5911 FVC values (n = 1844 patients) from PFT equipment and 15 383 values (n = 4982 patients) by NLP. Among 2610 date-matched FVC values from NLP and PFT equipment, 95.8% of values were within 5% predicted. The mean (SD) difference was 0.09% (5.9), and values strongly correlated (r = 0.94, p < 0.001), with a precision of 0.87 (95% CI 0.86, 0.88). NLP captured more patients with longitudinal FVC values (n = 3069 vs. n = 1164). Mean (SD) change in FVC %-predicted per year was similar between sources (-1.5 [30.0] NLP vs. -0.9 [16.6] PFT equipment; standardized response mean = 0.05 for both). CONCLUSIONS: NLP of EHR notes increases the capture of accurate, longitudinal FVC values by three-fold over PFT equipment. Use of this NLP tool can facilitate pharmacoepidemiologic research in RA-ILD and other lung diseases by capturing this critical measure of disease severity.

Using Electronic Health Records and Linked Claims Data to Assess New Medication Use and Primary Nonadherence in Rheumatology Patients.

OBJECTIVE: The objective of this study was to determine the proportion of new medication prescriptions observed in electronic health records (EHR) that represent true incident medication use, accounting for undocumented previous prescriptions (prevalent medication use) and failure to initiate treatment (primary nonadherence) with linked administrative claims data as the reference standard. METHODS: Using single-specialty rheumatology EHR data from more than 700 community practices in the United States linked to administrative claims data, we identified first (index) EHR prescriptions and assessed the positive predictive value (PPV) of different EHR-derived new user definitions to identify true incident use (no prior claims). We then assessed how often index EHR prescriptions that met a definition of new use resulted in primary nonadherence (no subsequent claims). RESULTS: Overall, 12,405 index EHR prescriptions were identified with PPVs of 0.59 to 0.67 for true incident use. PPVs increased to 0.76 to 0.85 by excluding medications listed during the EHR medication reconciliation process and further increased to 0.87 to 0.93 by requiring ≥12 elapsed months since the first rheumatology office visit. Primary nonadherence at three months was observed in 33% to 38% overall and varied substantially by medication class, ranging from 15% to 23% for conventional synthetic disease-modifying antirheumatic drugs (DMARDs) to 54% to 64% for targeted synthetic DMARDs. CONCLUSION: New DMARD use was accurately distinguished from prevalent use with EHR prescriptions and simple new user definitions that include current medications collected during medication reconciliation. Primary nonadherence was frequent and varied by DMARD class. This has important implications for epidemiologic studies using EHR data and for optimal delivery of clinical care.