Trimethoprim sulfamethoxazole prophylaxis and serious infections in granulomatosis with polyangiitis treated with rituximab.

OBJECTIVE: To assess the association of trimethoprim sulfamethoxazole (TMP-SMX) prophylaxis with serious infections in rituximab-treated patients with granulomatosis with polyangiitis (GPA). METHODS: This retrospective cohort study included adults with GPA (2011-2020) within the United States Merative™ Marketscan® Research Databases with ≥6 months enrolment prior to first (index) rituximab treatment. We defined TMP-SMX prophylaxis as a ≥28-day prescription dispensed after or overlapping the index date. Serious infection was a hospital primary diagnosis for infection (excluding viral or mycobacterial codes). Secondary outcomes were outpatient infection, PJP, and adverse events potentially attributable to TMP-SMX. Cox proportional hazards regression assessed the association of time-varying TMP-SMX with outcomes of interest, adjusting for potential confounders. Individuals were followed until the outcome of interest, end of database enrolment, or Dec 31, 2020. RESULTS: Among 919 rituximab-treated individuals (53% female), mean age was 52.1 years (SD 16) and 281 (31%) were dispensed TMP-SMX within 30 days of index date. Over a median of 496 (IQR 138, 979) days, 130 serious infections occurred among 104 individuals (incidence 6.1 [95% CI 5.0-7.4] per 100 person-years). Time-varying TMP-SMX was negatively associated with serious infection (adjusted HR 0.5; 95% CI 0.3-0.9). The aHR for outpatient infections was 0.8 (95% CI 0.6-1.1). The estimate for PJP was imprecise (13 events, unadjusted HR 0.2; 95% CI 0.03-1.8). TMP-SMX was potentially associated with adverse events (aHR 1.3; 95% CI 0.9-1.9). CONCLUSIONS: TMP-SMX prophylaxis was associated with reduced serious infections in rituximab-treated GPA, but may increase adverse events, warranting further study of optimal prophylaxis strategies.

Effect of biologic agents and inflammation on lipid levels and cardiovascular risk in rheumatoid arthritis patients.

BACKGROUND: Cardiovascular disease (CVD) is the main cause of mortality in Rheumatoid Arthritis (RA). OBJECTIVE: To investigate the effect of biologic disease modifying anti-rheumatic drugs (bDMARDs) on lipids and CVD risk and evaluate associations with changes in systemic inflammation. METHODS: Patients with RA initiating a bDMARD were evaluated at baseline, 3 and 6 months later. Longitudinal mixed effects models examined the association of individual biologics with changes in lipid levelsm Reynolds Risk Score (RRS) and Framingham risk score. Mediation by CRP, clinical disease activity index (CDAI) or swollen joint count on lipid changes were modeled using structural equation models. The correlation between CRP changes and LDL changes was estimated. Changes of LDL-C at 6 months among patients with low baseline LDL-C (<90 mg/dl) vs higher baseline LDL-C(90-130, and >130 mg/dl) were compared. The association between LDL-C changes across baseline LDL-C groups and disease activity improvement was evaluated. RESULTS: 1698 bDMARD initiations were analyzed. Patients initiating tocilizumab had a significant increase in lipid levels but RRS at 3 and 6 months was similar across all biologics. Framingham risk score increased for patients treated with tocilizumab. Mediator analyses were statistically significant for the effects of CRP on lipid levels. Increases in LDL-C from baseline were independent of clinical response. An association of changes from baseline CRP and LDL-C were observed across all of the bDMARDs studied. CONCLUSION: Moderate increases in lipid levels on bDMARD treatment were not associated with an increased CVD risk by RRS regardless of the bDMARD initiated. Changes in CRP were significantly associated with changes in lipids in a mediator analysis.

Incidence of checkpoint inhibitor-associated inflammatory arthritis, immunomodulation and mortality in cancer patients on immunotherapy: a retrospective cohort study.

OBJECTIVES: Immune checkpoint inhibitor (ICI) associated inflammatory arthritis (ICI-IA) occurs in 4-6% of ICI-treated patients based on one observational study. We identified cases of ICI-IA using administrative claims to study its incidence and characteristics at the population level. METHODS: We used the Medicare 5% sample to identify patients initiating ICIs. Cancer patients were identified by having ≥ 2 ICD-9/10-CM diagnosis codes from an oncologist for lung cancer, melanoma, or renal/urothelial cancer. ICI-IA was defined as having two Medicare claims ≥ 30 days apart with combinations of ICD-9/10-CM diagnosis codes that favored specificity. ICI-IA was identified in patients with a musculoskeletal diagnosis after ICI initiation, who had i.) no inflammatory arthritis or inflammatory rheumatic disease before ICI initiation ever, and ii) no musculoskeletal complaint in the one year prior to ICI. We examined DMARD utilization and visits to rheumatology in patients with ICI-IA. Landmark analysis and a time varying Cox proportional hazards model for overall survival was constructed. RESULTS: The incidence of ICI-IA was 7.2 (6.1-8.4) per 100 patient years. Patients with ICI-IA were mean (SD) age 73.5(7.0) years, 48% women, 91% white. Median(IQR) time from ICI initiation to first ICI-IA diagnosis was 124(56, 252) days. Only 24(16%) received care from a rheumatologist, and 24(16%) were prescribed a DMARD (46% by a rheumatologist). The HR for mortality in patients with ICI-IA was 0.86 (95% CI 0.59-1.26, p= 0.45). CONCLUSIONS: The incidence of ICI-IA identified in claims data is similar to that reported in observational studies, however, few patients are treated with a DMARD or see a rheumatologist. There was no difference in overall survival between ICI-treated patients with and without ICI-IA.

Determinants of tofacitinib discontinuation in adult patients with rheumatoid arthritis during long-term extension studies up to 9.5 years.

Objectives: To examine determinants of tofacitinib discontinuation due to voluntary (i.e. patient-driven) or involuntary reasons (i.e. protocol mandated) in long-term extension (LTE) studies of patients with RA to inform clinical practice, clinical study execution and data capture. Methods: This post hoc analysis used pooled data from patients receiving tofacitinib 5 or 10 mg twice daily (BID) in LTE studies. Outcomes included time to voluntary/involuntary discontinuation (and baseline predictors), including by geographic region. Exposure-adjusted event rates (EAERs) were calculated for adverse events (AEs), serious AEs (SAEs) and discontinuations due to AEs/SAEs. Results: Of 4967 patients, 2463 (49.6%) discontinued [1552/4967 (31.2%) voluntarily, 911/4967 (18.3%) involuntarily] and 55 (1.1%) died over the course of 9.5 years. When involuntary discontinuation was present as a competing risk for voluntary discontinuation, patients who stayed on combination therapy and with higher patient-assessed pain were significantly more likely to discontinue for voluntary reasons (P < 0.05). Older patients, those enrolled in Asia, Europe or Latin America (vs USA or Canada) or with RF+/anti-CCP+ status were significantly less likely to discontinue for voluntary reasons (P < 0.05). Small numeric differences in disease activity were observed between geographic regions in patients who discontinued or completed the studies. EAERs were generally higher for tofacitinib 10 vs 5 mg BID, irrespective of discontinuation reason. Conclusion: The factors associated with voluntary/involuntary discontinuation of tofacitinib suggest that treatment persistence in RA studies is partly predictable, which may be reflected in clinical practice. Applying these results may improve our understanding of attrition and inform future study design/execution. Trial registrations: ClinicalTrials.gov (http://clinicaltrials.gov): NCT00413699 and NCT00661661.

Biological Age, Chronological Age and Survival in Pulmonary Fibrosis: A Causal Mediation Analysis.

RATIONALE: Accelerated biological aging has been implicated in the development of interstitial lung disease (ILD) and other diseases of aging but remains poorly understood. OBJECTIVES: To identify plasma proteins that mediate the relationship between chronological age and survival association in patients with ILD. METHODS: Causal mediation analysis was performed to identify plasma proteins that mediated the chronological age-survival relationship in an idiopathic pulmonary fibrosis (IPF) discovery cohort. Proteins mediating this relationship after adjustment for false discovery were advanced for testing in an independent ILD validation cohort and explored in a chronic obstructive pulmonary disease (COPD) cohort. A proteomic-based measure of biological age was constructed and survival analysis performed assessing the impact of biological age and peripheral blood telomere length on the chronological age-survival relationship. RESULTS: Twenty-two proteins mediated the chronological age-survival relationship after adjustment for false discovery in the IPF discovery cohort (n=874), with nineteen remaining significant mediators of this relationship in the ILD validation cohort (n=983) and one mediating this relationship in the COPD cohort. Latent transforming growth factor beta binding protein 2 and ectodysplasin A2 receptor showed the strongest mediation across cohorts. A proteomic measure of biological age completely attenuated the chronological age-survival association and better discriminated survival than chronological age. Results were robust to adjustment for peripheral blood telomere length, which did not mediate the chronological age-survival relationship. CONCLUSIONS: Molecular measures of aging completely mediate the relationship between chronological age and survival, suggesting that chronological age has no direct effect on ILD survival.

Lung Transcriptomics Links Emphysema to Barrier Dysfunction and Macrophage Subpopulations.

RATIONALE: While many studies have examined gene expression in lung tissue, the gene regulatory processes underlying emphysema are still not well understood. Finding efficient non-imaging screening methods and disease-modifying therapies has been challenging, but knowledge of the transcriptomic features of emphysema may help in this effort. OBJECTIVES: Our goals were to identify emphysema-associated biological pathways through transcriptomic analysis of bulk lung tissue, to determine the lung cell types in which these emphysema-associated pathways are altered, and to detect unique and overlapping transcriptomic signatures in blood and lung samples. METHODS: Using RNA-sequencing data from 446 samples in the Lung Tissue Research Consortium (LTRC) and 3,606 blood samples from the COPDGene study, we examined the transcriptomic features of chest computed tomography-quantified emphysema. We also leveraged publicly available lung single-cell RNA-sequencing data to identify cell types showing COPD-associated differential expression of the emphysema pathways found in the bulk analyses. MEASUREMENTS AND MAIN RESULTS: In the bulk lung RNA-seq analysis, 1,087 differentially expressed genes and 34 dysregulated pathways were significantly associated with emphysema. We observed alternative splicing of several genes and increased activity in pluripotency and cell barrier function pathways. Lung tissue and blood samples shared differentially expressed genes and biological pathways. Multiple lung cell types displayed dysregulation of epithelial barrier function pathways, and distinct pathway activities were observed among various macrophage subpopulations. CONCLUSIONS: This study identified emphysema-related changes in gene expression and alternative splicing, cell-type specific dysregulated pathways, and instances of shared pathway dysregulation between blood and lung.

Association of Cardiovascular Outcomes With Low-Dose Glucocorticoid Prescription in Patients With Rheumatoid Arthritis.

OBJECTIVE: Many guidelines recommend limiting glucocorticoids in patients with rheumatoid arthritis (RA), but 40% of patients remain on glucocorticoids long term. We evaluated the cardiovascular risk of long-term glucocorticoid prescription by studying patients on stable disease-modifying antirheumatic drugs (DMARDs). METHODS: Using two claims databases, we identified patients with RA on stable DMARD therapy for >180 days. Proportional hazards models with inverse-probability weights and clustering to account for multiple observations were used to estimate the effect of glucocorticoid dose on composite cardiovascular outcomes (stroke or myocardial infarction [MI]). RESULTS: There were 135,583 patients in Medicare and 39,272 in Optum's de-identified Clinformatics Data Mart (CDM) database. Medicare and CDM patients had an incidence of 1.3 and 0.8 composite cardiovascular outcomes per 100 person-years, respectively. In the older, comorbid Medicare cohort, glucocorticoids were associated with a dose-dependent increase in composite cardiovascular outcomes in adjusted models with predicted one-year incidence of 1.4% (95% confidence interval [CI] 1.2%-1.6%) for ≤5 mg, 1.6% (95% CI 1.4%-1.9%) for >5 to 10 mg, and 1.8% (95% CI 1.2%-2.5%) for >10 mg versus 1.1% (95% CI 1.1%-1.2%) among patients not receiving glucocorticoids. There was no significant association among the CDM cohort. However, in the subgroup of younger patients with RA and higher cardiovascular risk, glucocorticoids were associated with a dose-dependent increase in composite cardiovascular outcomes. CONCLUSION: Among older patients with more comorbidities and younger patients with higher cardiovascular risk with RA on stable DMARD therapy, glucocorticoids were associated with a dose-dependent increased risk of MI and stroke, even at doses ≤5 mg/day. By contrast, no association was noted among younger, healthier patients with RA.

Polygenic and transcriptional risk scores identify chronic obstructive pulmonary disease subtypes.

Rationale: Genetic variants and gene expression predict risk of chronic obstructive pulmonary disease (COPD), but their effect on COPD heterogeneity is unclear. Objectives: Define high-risk COPD subtypes using both genetics (polygenic risk score, PRS) and blood gene expression (transcriptional risk score, TRS) and assess differences in clinical and molecular characteristics. Methods: We defined high-risk groups based on PRS and TRS quantiles by maximizing differences in protein biomarkers in a COPDGene training set and identified these groups in COPDGene and ECLIPSE test sets. We tested multivariable associations of subgroups with clinical outcomes and compared protein-protein interaction networks and drug repurposing analyses between high-risk groups. Measurements and Main Results: We examined two high-risk omics-defined groups in non-overlapping test sets (n=1,133 NHW COPDGene, n=299 African American (AA) COPDGene, n=468 ECLIPSE). We defined "High activity" (low PRS/high TRS) and "severe risk" (high PRS/high TRS) subgroups. Participants in both subgroups had lower body-mass index (BMI), lower lung function, and alterations in metabolic, growth, and immune signaling processes compared to a low-risk (low PRS, low TRS) reference subgroup. "High activity" but not "severe risk" participants had greater prospective FEV 1 decline (COPDGene: -51 mL/year; ECLIPSE: - 40 mL/year) and their proteomic profiles were enriched in gene sets perturbed by treatment with 5-lipoxygenase inhibitors and angiotensin-converting enzyme (ACE) inhibitors. Conclusions: Concomitant use of polygenic and transcriptional risk scores identified clinical and molecular heterogeneity amongst high-risk individuals. Proteomic and drug repurposing analysis identified subtype-specific enrichment for therapies and suggest prior drug repurposing failures may be explained by patient selection.

Identification of Gaps in Quality of Care and Good Practice Interventions in Rheumatoid Arthritis: Insights From a Literature Review and Qualitative Study of Nine Centers in North America.

OBJECTIVE: Quality of care (QoC) delivery in rheumatoid arthritis (RA) continues to suffer from various challenges (eg, delay in diagnosis and referral) that can lead to poor patient outcomes. This study aimed to identify good practice interventions that address these challenges in RA care in North America. METHODS: The study was conducted in three steps: (1) literature review of existing publications and guidelines (April 2005 to April 2021) on QoC in RA; (2) in-person visits to >50 individual specialists and health care professionals across nine rheumatology centers in the United States and Canada to identify challenges in RA care and any corresponding good practice interventions; and (3) collation and organization of findings of the two previous methods by commonalities to identify key good practice interventions, followed by further review by RA experts to ensure key challenges and gaps in RA care were captured. RESULTS: Several challenges and eight good practice interventions were identified in RA care. The interventions were prioritized based on the perceived positive impact on the challenges in care and ease of implementation. High-priority interventions included the use of technology to improve care, streamlining specialist treatment, and facilitating comorbidity assessment and care. Other interventions included enabling patient access to optimal medication regimens and improving patient self-management strategies. CONCLUSION: Learnings from the study can be implemented in other rheumatology centers throughout North America to improve RA care. Although the study was completed before the COVID-19 pandemic, the findings remain relevant.

Which Educational Topics and Smartphone App Functions Are Prioritized by US Patients With Rheumatic and Musculoskeletal Diseases? A Mixed-Methods Study.

OBJECTIVE: We sought to identify (1) what types of information US adults with rheumatic and musculoskeletal diseases (RMD) perceive as most important to know about their disease, and (2) what functions they would use in an RMD-specific smartphone app. METHODS: Nominal groups with patients with RMD were conducted using online tools to generate a list of needed educational topics. Based on nominal group results, a survey with final educational items was administered online, along with questions about desired functions of a smartphone app for RMD and wearable use, to patients within a large community rheumatology practice-based research network and the PatientSpot registry. Chi-square tests and multivariate regression models were used to determine differences in priorities between groups of respondents with rheumatic inflammatory conditions (RICs) and osteoarthritis (OA), and possible associations. RESULTS: At least 80% of respondents considered finding a rheumatologist, understanding tests and medications, and quickly recognizing and communicating symptoms to doctors as extremely important educational topics. The highest-ranked topic for both RIC and OA groups was "knowing when the medication is not working." The app functions that most respondents considered useful were viewing laboratory results, recording symptoms to share with their rheumatology provider, and recording symptoms (eg, pain, fatigue) or disease flares for health tracking over time. Approximately one-third of respondents owned and regularly used a wearable activity tracker. CONCLUSION: People with RMD prioritized information about laboratory test results, medications, and disease and symptom monitoring, which can be used to create educational and digital tools that support patients during their disease journey.

A model of dysregulated crosstalk between dendritic, natural killer, and regulatory T cells in chronic obstructive pulmonary disease.

Chronic obstructive pulmonary disease (COPD) is characterized by infiltration of the airways and lung parenchyma by inflammatory cells. Lung pathology results from the cumulative effect of complex and aberrant interactions between multiple cell types. However, three cell types, natural killer cells (NK), dendritic cells (DCs), and regulatory T cells (Tregs), are understudied and underappreciated. We propose that their mutual interactions significantly contribute to the development of COPD. Here, we highlight recent advances in NK, DC, and Treg biology with relevance to COPD, discuss their pairwise bidirectional interactions, and identify knowledge gaps that must be bridged to develop novel therapies. Understanding their interactions will be crucial for therapeutic use of autologous Treg, an approach proving effective in other diseases with immune components.

Real-World Effectiveness of Pegloticase Associated With Use of Concomitant Immunomodulatory Therapy.

OBJECTIVE: The objective of this study was to ascertain pegloticase persistence and adverse events associated with concomitant immunomodulatory drug treatment in patients with gout. METHODS: We conducted a retrospective analysis of patients with gout using the American College of Rheumatology's Rheumatology Informatics System for Effectiveness registry from January 2016 through June 2020. The first pegloticase infusion defined the index date. Based on concomitant immunomodulatory drug treatment, we identified three exposure groups: (1) immunomodulatory drug initiators (patients initiating an immunomodulatory prescription ±60 days from the index date), (2) prevalent immunomodulatory drug recipients (patients receiving their first immunomodulatory drug prescription >60 days before the index date with at least one prescription within ±60 days of the index date), and (3) immunomodulatory nonrecipients (patients receiving pegloticase without concomitant immunomodulatory drugs). We calculated the proportion of patients who achieved serum urate levels ≤6 mg/dL and who had laboratory abnormalities (white blood cell count <3.4 x 109/L, platelet count <135,000, hematocrit level <30%, alanine aminotransferase or aspartate aminotransferase level ≥1.5 times the upper limit normal value) within 180 days after the index date. Cox regression analyzed time to pegloticase discontinuation, controlling for potential confounders. RESULTS: We identified 700 pegloticase recipients (91 immunomodulatory drug initiators, 33 prevalent immunomodulatory drug recipients, and 576 nonrecipients), with a median follow-up of 14 months. Immunomodulatory drug recipients were less likely to discontinue pegloticase. The adjusted hazard ratios of pegloticase discontinuation associated with concomitant immunomodulatory drug initiation and prevalent treatment were 0.52 (95% confidence interval [CI] 0.37-0.75) and 0.69 (95% CI 0.42-1.16), respectively. Laboratory abnormalities were uncommon (<5%) and were not higher in concomitant immunomodulatory drug treatment. CONCLUSION: Consistent with clinical trials, results from this large observational registry suggest that concomitant immunomodulatory drug treatment improves pegloticase persistence.

External validation of a multi-biomarker-based score for predicting risk of cardiovascular disease in patients with rheumatoid arthritis.

BACKGROUND: A multi-biomarker disease activity (MBDA)-based cardiovascular disease (CVD) risk score was developed and internally validated in a Medicare cohort to predict 3-year risk for myocardial infarction (MI), stroke or CVD death in patients with rheumatoid arthritis (RA). It combines the MBDA score, leptin, MMP-3, TNF-R1, age and four clinical variables. We are now externally validating it in a younger RA cohort. METHODS: Claims data from a private aggregator were linked to MBDA test data to create a cohort of RA patients ≥18 years old. A univariable Cox proportional hazards regression model was fit using the MBDA-based CVD risk score as sole predictor of time-to-a-CVD event (hospitalized MI or stroke). Hazard ratio (HR) estimate was determined for all patients and for clinically relevant subgroups. A multivariable Cox model evaluated whether the MBDA-based CVD risk score adds predictive information to clinical data. RESULTS: 49,028 RA patients (340 CVD events) were studied. Mean age was 52.3 years; 18.3% were male. HR for predicting 3-year risk of a CVD event by the MBDA-based CVD risk score in the full cohort was 3.99 (95% CI: 3.51-4.49, p = 5.0×10-95). HR were also significant for subgroups based on age, comorbidities, disease activity, and drug use. In a multivariable model, the MBDA-based CVD risk score added significant information to hypertension, diabetes, tobacco use, history of CVD, age, sex and CRP (HR = 2.27, p = 1.7×10-7). CONCLUSION: The MBDA-based CVD risk score has been externally validated in an RA cohort that is younger than and independent of the Medicare cohort that was used for development and internal validation.

Comparative effectiveness of Denosumab vs alendronate among postmenopausal women with osteoporosis.

Although clinical trials have shown that denosumab significantly increases bone mineral density at key skeletal sites more than oral bisphosphonates, evidence is lacking from head-to-head randomized trials evaluating fracture outcomes. This retrospective cohort study uses administrative claims data from Medicare fee-for service beneficiaries to evaluate the comparative effectiveness of denosumab versus alendronate in reducing fracture risk among women with postmenopausal osteoporosis (PMO) in the US. Women with PMO ≥ 66 years of age with no prior history of osteoporosis treatment, who initiated denosumab (n = 89 115) or alendronate (n = 389 536) from 2012 to 2018, were followed from treatment initiation until the first of a specific fracture outcome, treatment discontinuation or switch, end of study (December 31, 2019), or other censoring criteria. A doubly robust inverse-probability of treatment and censoring weighted function was used to estimate the risk ratio associated with the use of denosumab compared with alendronate for hip, nonvertebral (NV; includes hip, humerus, pelvis, radius/ulna, other femur), non-hip nonvertebral (NHNV), hospitalized vertebral (HV), and major osteoporotic (MOP; consisting of NV and HV) fractures. Overall, denosumab reduced the risk of MOP by 39%, hip by 36%, NV by 43%, NHNV by 50%, and HV fractures by 30% compared with alendronate. Denosumab reduced the risk of MOP fractures by 9% at year 1, 12% at year 2, 18% at year 3, and 31% at year 5. An increase in the magnitude of fracture risk reduction with increasing duration of exposure was also observed for other NV fracture outcomes. In this cohort of almost half-a-million treatment-naive women with PMO, we observed clinically significant reductions in the risk of MOP, hip, NV, NHNV, and HV fractures for patients on denosumab compared with alendronate. Patients who remained on denosumab for longer periods of time experienced greater reductions in fracture risk.

Osteoporosis-related fractures can have a significant impact on the health and quality of life of women with postmenopausal osteoporosis (PMO), as well as pose a significant burden to society. Although clinical trials have shown that denosumab is more effective at increasing bone mineral density compared to alendronate, there is a lack of evidence evaluating the fracture risk between these two commonly used osteoporosis therapies. In this study using Medicare claims data for almost 500 000 women with PMO with no prior history of osteoporosis medication use, we compared the risk of fracture, an important outcome to patients and health care providers, between denosumab and alendronate. Advanced analytic methods were implemented to ensure the study results were valid and were not unduly influenced by biases common in observational studies. We observed clinically meaningful reductions (from 30% up to 50%) in the risk of hip, nonvertebral, non-hip nonvertebral, hospitalized vertebral, and major osteoporotic fractures for patients treated with denosumab compared with alendronate. Patients who remained on denosumab for longer periods of time experienced greater reductions in fracture risk than those who remained on alendronate.

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.

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.

The Effect of Chronic Altitude Exposure on COPD Outcomes in the SPIROMICS Cohort.

RATIONALE: Individuals with COPD have airflow obstruction and maldistribution of ventilation. For those living at high altitude, any gas exchange abnormality is compounded by reduced partial pressures of inspired oxygen. OBJECTIVES: Does residence at higher-altitude exposure affect COPD outcomes, including lung function, imaging characteristics, symptoms, health status, functional exercise capacity, exacerbations, or mortality? METHODS: From the SPIROMICS cohort, we identified individuals with COPD living below 1,000 ft (305 m) elevation (n= 1,367) versus above 4,000 ft (1,219 m) elevation (n= 288). Multivariable regression models were used to evaluate associations of exposure to high altitude with COPD-related outcomes. MEASUREMENTS AND MAIN RESULTS: Living at higher altitude was associated with reduced functional exercise capacity as defined by 6MWD (-32.3 m, (-55.7 to -28.6)). There were no differences in patient-reported outcomes as defined by symptoms (CAT, mMRC), or health status (SGRQ). Higher altitude was not associated with a different rate of FEV1 decline. Higher altitude was associated with lower odds of severe exacerbations (IRR 0.65, (0.46 to 0.90)). There were no differences in small airway disease, air trapping, or emphysema. In longitudinal analyses, higher altitude was associated with increased mortality (HR 1.25, (1.0 to 1.55)); however, this association was no longer significant when accounting for air pollution. CONCLUSIONS: Chronic altitude exposure is associated with reduced functional exercise capacity in individuals with COPD, but this did not translate into differences in symptoms or health status. Additionally, chronic high-altitude exposure did not affect progression of disease as defined by longitudinal changes in spirometry.