Missed opportunities for treatment of inflammatory arthritis and factors associated with non-treatment: An observational cohort study in United States Veterans with rheumatoid arthritis, psoriatic arthritis, or ankylosing spondylitis.

OBJECTIVE: To identify factors associated with non-treatment with biologic and non-biologic disease modifying anti-rheumatic drugs (DMARDs) during the 12 months after initial inflammatory arthritis (IA) diagnosis. METHODS: We identified Veterans with incident IA diagnosed in 2007-2019. We assessed time to treatment with Kaplan-Meier curves. We identified associations between non-treatment and factors relating to patients, providers, and the health system with multivariate Generalized Estimation Equation (GEE) log-Poisson. Subgroup analyses included IA subtypes (rheumatoid arthritis [RA], psoriatic arthritis [PsA], and ankylosing spondylitis [AS]) and timeframes of the initial IA diagnosis (2007-11, 2012-15, and 2016-19). RESULTS: Of 18,318 study patients, 40.7 % did not receive treatment within 12 months after diagnosis. In all patients, factors associated with non-treatment included Black race (hazard ratio, 95 % confidence interval: 1.13, 1.08-1.19), Hispanic ethnicity (1.14, 1.07-1.22), Charlson Comorbidity Index ≥2, (1.15, 1.11-1.20), and opiate use (1.09, 1.05-1.13). Factors associated with higher frequency of DMARD treatment included married status (0.86, 0.81-0.91); erosion in joint imaging report (HR: 0.86, 0.81-0.91); female diagnosing provider (0.90, CI: 0.85-0.96), gender concordance between patient and provider (0.91, CI: 0.86-0.97), and diagnosing provider specialty of rheumatology (0.53, CI: 0.49-0.56). CONCLUSION: A high proportion of Veterans with IA were not treated with a biologic or non-biologic DMARD within one year after their initial diagnosis. A wide range of factors were associated with non-treatment of IA that may represent missed opportunities for improving the quality of care through early initiation of DMARDs.

Plasma Matrix Metalloproteinase Concentrations and Risk of Interstitial Lung Disease in a Prospective Rheumatoid Arthritis Cohort.

OBJECTIVE: To evaluate the associations of plasma matrix metalloproteinases (MMPs) with prevalent and incident interstitial lung disease (ILD) in people with rheumatoid arthritis (RA). METHODS: Within a multicenter, prospective cohort of US veterans with RA, we performed a cross-sectional study of prevalent ILD and cohort study of incident ILD. ILD diagnoses were validated by medical record review of provider diagnoses and chest imaging and/or pathology reports. MMP-1, 3, 7, and 9 concentrations were measured in plasma samples, then standardized and categorized into quartiles. The associations of MMPs with prevalent and incident ILD were assessed with logistic (prevalent) and Cox (incident) regression models adjusted for RA-ILD risk factors. RESULTS: Among 2,312 participants (88.9% male; mean age 63.8 years), 96 had prevalent ILD. Incident ILD developed in 130 participants over 17,378 person-years of follow-up (crude incidence rate 7.5/1,000 person-years). Participants with the highest quartile of MMP-7 concentrations had a nearly four-fold increased odds of prevalent ILD (adjusted odds ratio 3.78 [95% confidence interval (95% CI) 1.86-7.65]) and over two-fold increased risk of incident ILD (adjusted hazard ratio 2.33 [95% CI 1.35-4.02]). Higher MMP-9 concentrations were also associated with prevalent and incident ILD, as well as negatively correlated with forced vital capacity among those with prevalent ILD (r = -0.30, P = 0.005). CONCLUSION: MMP-7 and MMP-9 were strongly associated with both prevalent and incident ILD in this large, multicenter RA cohort after adjustment for other RA-ILD risk factors. These population-level findings further support a potential pathogenic role for MMPs in RA-ILD and suggest that their measurement could facilitate RA-ILD risk stratification.

Associations between Adiponectin and the Development of Diabetes in Rheumatoid Arthritis.

PURPOSE: We evaluated associations between adiponectin and the risk of diabetes among patients with rheumatoid arthritis (RA), a systemic inflammatory disease associated with metabolic disturbance. METHODS: This prospective cohort study included adults with RA from the Veteran's Affairs Rheumatoid Arthritis Registry. Adiponectin and inflammatory cytokines/chemokines were measured at enrollment on stored serum samples. Adiponectin levels were categorized and clinical variables were described across categories (<10 µg/mL; 10-40 µg/mL; > 40 µg/mL. Multivariable Cox proportional hazard models evaluated associations between adiponectin and incident diabetes adjusting for age, sex, race, smoking status, body mass index (BMI), disease-modifying therapy use, calendar year, and comorbidity. Testing for modification of effect in the context of elevated cytokines/chemokines was performed. RESULTS: Among 2595 patients included in the analysis, those with adiponectin levels >40 µg/mL (N = 379; 15%) were older and had lower BMI. There were 125 new cases of diabetes among 1,689 patients without prevalent disease at enrollment. There was an inverse association between adiponectin and incident diabetes, however, the association was positive among patients with adiponectin levels >40 µg/mL. Patients with levels >40 µg/mL were at higher risk compared to those with levels 10-40 µg/mL [HR: 1.70 (1.34,2.16) p < 0.001]. Those with adiponectin levels >40 µg/mL had significantly higher levels of inflammatory cytokines with evidence of a modified effect of adiponectin on diabetes risk in the setting of inflammation. CONCLUSIONS: The relationship between adiponectin and incident diabetes risk is U-shaped in RA. Patients with very high adiponectin levels have greater systemic inflammation and an altered relationship between adiponectin and diabetes risk.

Development and Internal Validation of a Clinical and Genetic Risk Score for Rheumatoid Arthritis-Associated Interstitial Lung Disease.

OBJECTIVE: Although clinical and genetic risk factors have been identified for rheumatoid arthritis-associated interstitial lung disease (RA-ILD), there are no current tools allowing for risk stratification. We sought to develop and validate an ILD risk model in a large, multicentre, prospective RA cohort. METHODS: Participants in the Veterans Affairs RA (VARA) registry were genotyped for 12 single nucleotide polymorphisms (SNPs) associated with idiopathic pulmonary fibrosis. ILD was validated through systematic record review. A genetic risk score (GRS) was computed from minor alleles weighted by effect size with ILD, using backward selection. The GRS was combined with clinical risk factors within a logistic regression model. Internal validation was completed using bootstrapping, and model performance was assessed by the area under the receiver operating curve (AUC). RESULTS: Of 2,386 participants (89% male, mean age 69.5 years), 9.4% had ILD. Following backward selection, five SNPs contributed to the GRS. The GRS and clinical factors outperformed clinical factors alone in discriminating ILD (AUC 0.675 vs 0.635, p< 0.001). The shrinkage-corrected performance for combined and clinical-only models was 0.667 (95% CI 0.628, 0.712) and 0.623 (95% CI 0.584, 0.651), respectively. Twenty percent of the cohort had a combined risk score below a cut-point with >90% sensitivity. CONCLUSION: A clinical and genetic risk model discriminated ILD in a large, multicentre RA cohort better than a clinical-only model, excluding 20% of the cohort from low-yield testing. These results demonstrate the potential utility of a GRS in RA-ILD and support further investigation into individualized risk stratification and screening.

Changes in Characteristics of Patients Initiating and Discontinuing Advanced Therapies for Rheumatoid Arthritis Following the Release of Safety Data.

OBJECTIVE: The objective of this study was to determine the impact of emerging safety data on practice patterns by describing the characteristics of patients initiating and discontinuing advanced therapies for rheumatoid arthritis (RA) before and after January 2021. METHODS: This cohort study evaluated US veterans with RA between April 2019 and September 2022. This period was divided into two 664-day periods before and after January 2021. Eligible patients had ≥1 diagnosis code for RA and initiated a tumor necrosis factor inhibitor (TNFi), non-TNFi biologic, or JAK inhibitor (JAKi). We tested for interaction within regression models to determine whether changes in patient characteristics for tofacitinib recipients were different from changes observed for other therapies. We also evaluated factors associated with therapy discontinuation in Cox models adjusted for age, sex, and duration on therapy, including assessment for effect modification. RESULTS: When comparing patients with RA initiating tofacitinib before (n = 2,111) with those initiating tofacitinib after (n = 1,664) January 2021, there was a decrease in mean age (64.1 vs 63.0 years) and in the proportion with cardiovascular comorbidities (all P < 0.01). These changes were significantly different from those observed for patients initiating TNFi or non-TNFi biologics. Among active advanced therapy recipients, the likelihood of discontinuation was higher for tofacitinib than TNFi (hazard ratio 1.18, 95% confidence interval 1.10-1.26, P < 0.001). The higher rate of tofacitinib discontinuation was more pronounced in the presence of cardiovascular comorbidities (P < 0.05). CONCLUSION: Recent safety data significantly affected prescribing practices for advanced therapies, with a reduction in JAKi initiation and an increase in JAKi discontinuation among older patients and those at high cardiovascular risk.

John R. Ward, MD: Pioneer-Clinical Trials in Rheumatology.

John Robert Ward was one of the early academic rheumatologists in the United States. He was the founding father of rheumatology in the Intermountain West, the first Chief of the Division of Rheumatology in the Department of Internal Medicine at the University of Utah. Dr Ward became a national leader in the understanding and treatment of rheumatic disease. His foundational work established gold-standard techniques for the successful investigation of anti-rheumatic drugs. His leadership and scientific contributions clearly qualify him as a "giant in rheumatology."

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.

Serum alarmins and the risk of incident interstitial lung disease in rheumatoid arthritis.

OBJECTIVES: To quantify associations of serum alarmins with risk of rheumatoid arthritis-associated interstitial lung disease (RA-ILD). METHODS: Using serum collected at enrolment, three alarmins (interleukin [IL]-33, thymic stromal lymphopoietin [TSLP], and IL-25) were measured in a multicentre prospective RA cohort. ILD was classified using systematic medical record review. Cross-sectional associations of log-transformed (IL-33, TSLP) or quartile (IL-25) values with RA-ILD at enrolment (prevalent RA-ILD) were examined using logistic regression, while associations with incident RA-ILD developing after enrolment were examined using Cox proportional hazards. Covariates in multivariate models included age, sex, race, smoking status, RA disease activity score, and anti-cyclic citrullinated antibody positivity. RESULTS: Of 2,835 study participants, 115 participants (4.1%) had prevalent RA-ILD at baseline and an additional 146 (5.1%) developed incident ILD. There were no associations between serum alarmin concentrations and prevalent ILD in unadjusted or adjusted logistic regression models. In contrast, there was a significant inverse association between IL-33 concentration and the risk of developing incident RA-ILD in unadjusted (HR 0.73 per log-fold increase; 95% CI 0.57-0.95; p= 0.018) and adjusted (HR 0.77; 95% CI 0.59-1.00, p= 0.047) models. No significant associations of TSLP or IL-25 with incident ILD were observed. CONCLUSIONS: In this study, we observed a significant inverse association between serum IL-33 concentration and the risk of developing incident RA-ILD, but no associations with prevalent ILD. Additional investigation is required to better understand the mechanisms driving this relationship and how serum alarmin IL-33 assessment might contribute to clinical risk stratification in patients with RA.

Changes in Patterns of Use of Advanced Therapies Following Emerging Data About Adverse Events in Patients With Rheumatoid Arthritis From the Veterans Affairs Health System.

OBJECTIVE: To determine whether prescribing practices for Janus kinase inhibitors (JAKi), tumor necrosis factor inhibitors (TNFi), and non-TNFi biologic agents changed after the results of the Oral Rheumatoid Arthritis Trial (ORAL) Surveillance trial were released in January 2021. METHODS: This is a retrospective study in adult patients with rheumatoid arthritis (RA) receiving advanced therapies within the Veterans Affairs Health System from January 2012 through September 2022. Eligible patients were required to have at least one diagnosis code for RA and to have received a biologic disease-modifying antirheumatic drug or JAKi. Treatment courses were defined from pharmacy dispensing data and the number of new courses of each advanced therapy was quantified over time. We assessed changes in the use of each therapy before and after the release of safety data (January 2021). RESULTS: A total of 88,253 individual drug courses (in 34,656 unique patients) were included in the study. There was a consistent increase in the number and proportion of new courses of JAKi leading up to January 2021, which was followed by a significant net decrease in JAKi use through September 2022. There was significantly less tofacitinib use after the release of safety data, with a significant difference in the slope of change in use with time. In contrast, whereas TNFi use declined leading up to 2021, its use significantly increased after January 2021. CONCLUSION: Changes in prescribing in response to new evidence emphasize the impact that safety trials have on prescribing practices. Ongoing study in this area, with attention to specific patient characteristics and risk profiles, will help characterize these changes in practice.

Multimorbidity Patterns and Rheumatoid Arthritis Disease Outcomes: Findings From a Multicenter, Prospective Cohort.

OBJECTIVE: To determine whether unique multimorbidity patterns are associated with long-term rheumatoid arthritis (RA) disease severity. METHODS: We conducted a cohort study within the Veterans Affairs Rheumatoid Arthritis registry. We applied previously derived multimorbidity patterns based on the presence of diagnostic codes for relevant conditions prior to enrollment using linked administrative data. Disease activity and functional status were assessed longitudinally up to 5 years after enrollment. The association of multimorbidity patterns with disease activity and functional status were assessed using generalized estimating equations models adjusting for relevant confounders. RESULTS: We studied 2,956 participants, of which 88.2% were male, 76.9% reported white race, and 79.3% had a smoking history. Mental health and substance abuse (ß 0.12 [95% confidence interval {CI} 0.00, 0.23]), cardiovascular (ß 0.25 [95% CI 0.12, 0.38]), and chronic pain (ß 0.21 [95% CI 0.11, 0.31]) multimorbidity were associated with higher Disease Activity Score in 28 joints (DAS28) scores. Mental health and substance abuse (ß 0.09 [0.03, 0.15]), cardiovascular (ß 0.11 [95% CI 0.04, 0.17]), and chronic pain multimorbidity (ß 0.15 [95% CI 0.10, 0.20]) were also associated with higher Multidimensional Health Assessment Questionnaire (MDHAQ) scores. The metabolic pattern of multimorbidity was not associated with DAS28 or MDHAQ. The number of multimorbidity patterns present was highly associated with DAS28 and MDHAQ (P trend < 0.001), and patients with all four multimorbidity patterns had the highest DAS28 (ß 0.59 [95% CI 0.36, 0.83]) and MDHAQ (ß 0.27 [95% CI 0.16, 0.39]) scores. CONCLUSION: Mental health and substance abuse, chronic pain, and cardiovascular multimorbidity patterns are associated with increased RA disease activity and poorer functional status. Identifying and addressing these multimorbidity patterns may facilitate achieving RA treatment targets.

Aortic Stenosis Risk in Rheumatoid Arthritis.

Importance: Although an increased risk of ischemic cardiovascular disease has been associated with rheumatoid arthritis (RA), the risk of aortic stenosis (AS) is unknown. Objective: To examine the risk of incident AS, aortic valve intervention, AS-related death, and risk factors for AS development in patients with RA. Design, Setting, and Participants: This cohort study linked data from the Veterans Health Administration (VHA) and Centers for Medicare & Medicaid Services from 2000 to 2019. Patients with RA were matched by age, sex, and VHA enrollment year with up to 10 patients without RA. The cohort was followed until incident AS, aortic valve intervention, or death. Data were analyzed from August 23, 2022, to March 3, 2023. Exposures: the primary exposure was the presence of RA, defined using validated RA algorithms. Main Outcomes and Measures: Aortic stenosis was defined as a composite of inpatient or outpatient diagnoses, surgical or transcatheter aortic valve replacement, or AS-related death using diagnostic and procedural codes. Risk of AS development was assessed with multivariable Cox proportional hazards models adjusted for race, ethnicity, smoking status, body mass index, rurality, comorbidities, and health care use. Results: The cohort included 73 070 patients with RA (64 008 [87.6%] males; mean [SD] age, 63.0 [11.9] years) matched with 639 268 patients without RA (554 182 [86.7%] males; mean [SD] age, 61.9 [11.7] years) and 16 109 composite AS outcomes that occurred over 6 223 150 person-years. The AS incidence rate was 3.97 (95% CI, 3.81-4.13) per 1000 person-years in patients with RA and 2.45 (95% CI, 2.41-2.49) per 1000 person-years in the control patients (absolute difference, 1.52 per 1000 person-years). Rheumatoid arthritis was associated with an increased risk of composite AS (adjusted hazard ratio [AHR], 1.48; 95% CI, 1.41-1.55), aortic valve intervention (AHR, 1.34; 95% CI, 1.22-1.48), and AS-related death (AHR, 1.26; 95% CI, 1.04-1.54). Conclusions and Relevance: In this cohort study, RA was associated with a higher risk of developing AS and the subsequent risks of undergoing aortic valve intervention and suffering from AS-related death. Future studies are needed to confirm whether valvular heart disease, specifically AS, may be an overlooked cardiovascular disease complication in RA.

Lowering Expectations: Glucocorticoid Tapering Among Veterans With Rheumatoid Arthritis Achieving Low Disease Activity on Stable Biologic Therapy.

OBJECTIVE: In the Steroid EliMination In Rheumatoid Arthritis (SEMIRA) trial, 65% of patients with rheumatoid arthritis (RA) in low disease activity (LDA) on stable biologic therapy successfully tapered glucocorticoids. We aimed to evaluate real-world rates of glucocorticoid tapering among similar patients in the Veterans Affairs Rheumatoid Arthritis registry. METHODS: Within a multicenter, prospective RA cohort, we used registry data and linked pharmacy claims from 2003 to 2021 to identify chronic prednisone users achieving LDA after initiating a new biologic or targeted synthetic disease-modifying antirheumatic drug (b/tsDMARD). We defined the index date as first LDA occurring 60 to 180 days after b/tsDMARD initiation. The primary outcome of successful tapering, assessed at day 180 after LDA, required a 30-day averaged prednisone dose both less than or equal to 5mg/day and at least 50% lower than at the index date. The secondary outcome was discontinuation, defined as a prednisone dose of 0 mg/day at days 180 through 210. We used univariate statistics to compare patient characteristics by fulfillment of the primary outcome. RESULTS: We evaluated 100 b/tsDMARD courses among 95 patients. Fifty-four courses resulted in successful tapering; 33 resulted in discontinuation. Positive rheumatoid factor, higher erythrocyte sedimentation rate, more background DMARDs, shorter time from b/tsDMARD initiation to LDA, and higher glucocorticoid dose 30 days before LDA were associated with greater likelihood of successful tapering. CONCLUSION: In a real-world RA cohort of chronic glucocorticoid users in LDA, half successfully tapered and a third discontinued prednisone within 6 months of initiating a new b/tsDMARD. Claims-based algorithms of glucocorticoid tapering and discontinuation may be useful to evaluate predictors of tapering in administrative data sets.

Enhancing the identification of rheumatoid arthritis-associated interstitial lung disease through text mining of chest computerized tomography reports.

OBJECTIVES: Algorithms have been developed to identify rheumatoid arthritis-interstitial lung disease (RA-ILD) in administrative data with positive predictive values (PPVs) between 70 and 80%. We hypothesized that including ILD-related terms identified within chest computed tomography (CT) reports through text mining would improve the PPV of these algorithms in this cross-sectional study. METHODS: We identified a derivation cohort of possible RA-ILD cases (n = 114) using electronic health record data from a large academic medical center and performed medical record review to validate diagnoses (reference standard). ILD-related terms (e.g., ground glass, honeycomb) were identified in chest CT reports by natural language processing. Administrative algorithms including diagnostic and procedural codes as well as specialty were applied to the cohort both with and without the requirement for ILD-related terms from CT reports. We subsequently analyzed similar algorithms in an external validation cohort of 536 participants with RA. RESULTS: The addition of ILD-related terms to RA-ILD administrative algorithms increased the PPV in both the derivation (improvement ranging from 3.6 to 11.7%) and validation cohorts (improvement 6.0 to 21.1%). This increase was greatest for less stringent algorithms. Administrative algorithms including ILD-related terms from CT reports exceeded a PPV of 90% (maximum 94.6% derivation cohort). Increases in PPV were accompanied by a decline in sensitivity (validation cohort -3.9 to -19.5%). CONCLUSIONS: The addition of ILD-related terms identified by text mining from chest CT reports led to improvements in the PPV of RA-ILD algorithms. With high PPVs, use of these algorithms in large data sets could facilitate epidemiologic and comparative effectiveness research in RA-ILD.

Updating and Validating the Rheumatic Disease Comorbidity Index to Incorporate ICD-10-CM Diagnostic Codes.

OBJECTIVE: To update and validate the Rheumatic Disease Comorbidity Index (RDCI) utilizing International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes. METHODS: We defined ICD-9-CM (n = 1,068) and ICD-10-CM (n = 1,425) era cohorts (n = 862 in both) spanning the ICD-9-CM to ICD-10-CM transition in a multicenter, prospective rheumatoid arthritis registry. Information regarding comorbidities was collected from linked administrative data over 2-year assessment periods. An ICD-10-CM code list was generated from crosswalks and clinical expertise. ICD-9- and ICD-10-derived RDCI scores were compared using intraclass correlation coefficients (ICC). The predictive ability of the RDCI for functional status and death during follow-up was assessed using multivariable regression models and goodness-of-fit statistics (Akaike's information criterion [AIC] and quasi information criterion [QIC]) in both cohorts. RESULTS: Mean ± SD RDCI scores were 2.93 ± 1.72 in the ICD-9-CM cohort and 2.92 ± 1.74 in the ICD-10-CM cohort. RDCI scores had substantial agreement in individuals who were in both cohorts (ICC 0.71 [95% confidence interval 0.68-0.74]). Prevalence of comorbidities was similar between cohorts with absolute differences <6%. Higher RDCI scores were associated with a greater risk of death and poorer functional status during follow-up in both cohorts. Similarly, in both cohorts, models including the RDCI score had the lowest QIC (functional status) and AIC (death) values, indicating better model performance. CONCLUSION: The newly proposed ICD-10-CM codes for the RDCI-generated comparable RDCI scores to those derived from ICD-9-CM codes and are highly predictive of functional status and death. The proposed ICD-10-CM codes for the RDCI can be used in rheumatic disease outcomes research spanning the ICD-10-CM era.

A Narrowing Mortality Gap: Temporal Trends of Cause-Specific Mortality in a National Matched Cohort Study in US Veterans With Rheumatoid Arthritis.

OBJECTIVE: To examine temporal trends in all-cause and cause-specific mortality in patients with rheumatoid arthritis (RA) in the Veterans Health Administration (VHA). METHODS: We conducted a matched cohort study in the VHA from January 1, 2000 to December 31, 2017. Incident RA patients were matched up to 1:10 on age, sex, and VHA enrollment year to non-RA patients, then followed until death or end of study period. Cause of death was obtained from the National Death Index. Multivariable Cox regression models stratified by RA diagnosis years were used to examine trends in RA-related risk of all-cause and cause-specific mortality. RESULTS: Among 29,779 incident RA patients (matched to 245,226 non-RA patients), 9,565 deaths occurred. RA patients were at increased risk of all-cause (adjusted hazard ratio [HRadj ] 1.23 [95% confidence interval (95% CI) 1.20-1.26]), cardiovascular (HRadj 1.19 [95% CI 1.14-1.23]), cancer (HRadj 1.19 [95% CI 1.14-1.24]), respiratory (HRadj 1.46 [95% CI 1.38-1.55]), and infection-related mortality (HRadj 1.59 [95% CI 1.41-1.80]). Interstitial lung disease was the cause of death most strongly associated with RA (HRadj 3.39 [95% CI 2.88-3.99]). Nearly 70% of excess deaths in RA were attributable to cardiopulmonary disease. All-cause mortality risk related to RA was lower among those diagnosed during 2012-2017 (HRadj 1.10 [95% CI 1.05-1.15]) compared to 2000-2005 (HRadj 1.31 [95% CI 1.26-1.36]), but still higher than for non-RA controls (P < 0.001). Cause-specific mortality trends were similar. CONCLUSION: Excess RA-related mortality was driven by cardiovascular, cancer, respiratory, and infectious causes, particularly cardiopulmonary diseases. Although our findings support that RA-related mortality risk is decreasing over time, a mortality gap remains for all-cause and cause-specific mortality in RA.

Risk of Prostate Cancer in US Veterans With Rheumatoid Arthritis.

OBJECTIVE: Patients with rheumatoid arthritis (RA) have an increased risk of select cancers, including lymphoma and lung cancer. Whether RA influences prostate cancer risk is uncertain. We aimed to determine the risk of prostate cancer in patients with RA compared to patients without RA in the Veterans Health Administration (VA). METHODS: We performed a matched (up to 1:5) cohort study of male patients with and without RA in the VA from 2000 to 2018. RA status, as well as covariates, were obtained from national VA databases. Prostate cancer was identified through linked VA cancer databases and the National Death Index. Multivariable Cox models compared prostate cancer risk between patients with RA and patients without RA, including models that accounted for retention in the VA system. RESULTS: We included 56,514 veterans with RA and 227,284 veterans without RA. During 2,337,104 patient-years of follow-up, 6,550 prostate cancers occurred. Prostate cancer incidence (per 1,000 patient-years) was 3.50 (95% confidence interval [95% CI] 3.32-3.69) in patients with RA and 2.66 (95% CI 2.58-2.73) in patients without RA. After accounting for confounders and censoring for attrition of VA health care, RA was modestly associated with a higher prostate cancer risk (adjusted HR [HRadj ] 1.12 [95% CI 1.04-1.20]). There was no association between RA and prostate cancer mortality (HRadj 0.92 [95% CI 0.73-1.16]). CONCLUSION: RA was associated with a modestly increased risk of prostate cancer, but not prostate cancer mortality, after accounting for relevant confounders and several potential sources of bias. However, even minimal unmeasured confounding could explain these findings.

Genetic, social, and environmental risk factors in rheumatoid arthritis-associated interstitial lung disease.

OBJECTIVE: MUC5B and TOLLIP single nucleotide polymorphisms (SNPs) and cigarette smoking were associated with rheumatoid arthritis-interstitial lung disease (RA-ILD) in a predominantly Northern European population. We evaluated whether RA-ILD is associated with these genetic variants and HLA-DRB1 shared epitope (SE) alleles in a large RA cohort stratified by race and smoking history. METHODS: HLA-DRB1 SE alleles and MUC5B rs35705950 and TOLLIP rs5743890 SNPs were genotyped in U.S. veterans with RA. ILD was validated through medical record review. Genetic associations with ILD were assessed in logistic regression models overall and in subgroups defined by race and smoking status, with additive interactions assessed by the relative excess risk of interaction (RERI). RESULTS: Of 2,556 participants (88% male, 77% White), 238 (9.3%) had ILD. The MUC5B variant was associated with ILD (OR 2.25 [95% CI 1.69, 3.02]), whereas TOLLIP and HLA-DRB1 SE were not. The MUC5B variant was less frequent among Black/African American participants (5.8% vs. 22.6%), though its association with RA-ILD was numerically stronger (OR 4.23 [1.65, 10.86]) compared to all other participants (OR 2.32 [1.70, 3.16]). Those with the MUC5B variant and a smoking history had numerically higher odds of ILD (OR 4.18 [2.53, 6.93]) than non-smokers (OR 2.41 [1.16, 5.04]). Additive interactions between MUC5B-race and MUC5B-smoking were not statistically significant. CONCLUSION: In this large RA cohort, the MUC5B promoter variant was associated with >2-fold higher odds of RA-ILD. While this variant is less common among Black/African American patients, its presence in this population carried >4-fold higher odds of RA-ILD.

Comparative Effectiveness of Allopurinol and Febuxostat in Gout Management.

BACKGROUND: The relative efficacy and safety of allopurinol and febuxostat when used according to current guidelines for the treatment of hyperuricemia are unknown. This double-blind noninferiority trial examined these issues. METHODS: Participants with gout and hyperuricemia (with at least 33% having stage 3 chronic kidney disease) were randomly assigned to allopurinol or febuxostat in this 72-week trial, with doses titrated to target serum urate. The trial had three phases: titration (weeks 0 to 24), maintenance (weeks 25 to 48), and observation (weeks 49 to 72). Allopurinol and febuxostat were initiated at daily doses of 100 and 40 mg, with maximum titration to 800 and 120 mg, respectively. Antiinflammatory prophylaxis was given during phases 1 and 2. The primary end point was the proportion of patients experiencing one or more flares during phase 3, with a prespecified noninferiority margin of less than 8 percentage points between allopurinol and febuxostat. Secondary end points included efficacy in patients with chronic kidney disease, proportion achieving target serum urate levels, and serious adverse events. RESULTS: This study included 940 participants; 20.1% withdrew, with similar proportions in treatment arms. During phase 3, 36.5% of allopurinol-treated participants had one flare or more compared with 43.5% of febuxostat-treated participants (P<0.001 for noninferiority). Overall, 80% of participants achieved mean target urates during phase 2 with no differences by treatment. There were no treatment differences (including cardiovascular events) in serious adverse events. CONCLUSIONS: Allopurinol and febuxostat achieved serum urate goals in patients with gout; allopurinol was noninferior to febuxostat in controlling flares. Similar outcomes were noted in participants with stage 3 chronic kidney disease. (Funded by the Cooperative Studies Program of the Department of Veterans Affairs Office of Research and Development; ClinicalTrials.gov identifier, NCT02579096.).

Impact of a Musculoskeletal "Mini-Residency" Professional Development Program on Knee Magnetic Resonance Imaging Orders by Primary Care Providers.

BACKGROUND: The US Department of Veterans Affairs has created a portfolio of educational programs to train primary care providers (PCPs) in the evaluation and management of common musculoskeletal (MSK) conditions. Appropriate resource utilization for evaluation of knee pain, including limiting unnecessary magnetic resonance imaging (MRI) studies, is an important theme of these initiatives. The objective of this study was to report the utilization of knee MRI by PCP providers before and after the MSK education program and to determine the appropriateness of these MRI orders. METHODS: Twenty-six PCPs participated in the MSK Mini-Residency educational program held in Salt Lake City between April 2012 and October 2014. Knee MRI orders submitted by these providers 12 months before and 12 months after their participation were reviewed. Magnetic resonance imaging orders were categorized as "inappropriate," "probably inappropriate," or "possibly appropriate," based on accepted guidelines for knee MRI utilization. Differences in the numbers of precourse and postcourse MRI orders for each of these categories were compared using Student t test. RESULTS: Following our program, MRI orders decreased from 130 (precourse) to 93 (postcourse), a reduction of 28% ( p = 0.04). This reduction was observed entirely within the "inappropriate" and "probably inappropriate" categories; the number of orders categorized as "possibly appropriate" increased, but not significantly. CONCLUSIONS: The MSK Mini-Residency training program was a successful educational intervention and was associated with a reduction in inappropriate knee MRI utilization for some participants, while keeping appropriate MRI utilization stable.

Associations of serum cytokines and chemokines with the risk of incident cancer in a prospective rheumatoid arthritis cohort.

OBJECTIVES: We aimed to assess whether serum cytokine/chemokine concentrations predict incident cancer in RA patients. METHODS: Data from cancer-free enrollees in the Veterans Affairs Rheumatoid Arthritis (VARA) Registry were linked to a national VA oncology database and the National Death Index (NDI) to identify incident cancers. Seventeen serum cytokines/chemokines were measured from enrollment serum and an overall weighted cytokine/chemokine score (CK score) was calculated. Associations of cytokines/chemokines with all-site, lung, and lymphoproliferative cancers were assessed in Cox regression models accounting for relevant covariates including age, sex, RA disease activity, and smoking. RESULTS: In 1216 patients, 146 incident cancers (42 lung and 23 lymphoproliferative cancers) occurred over 10,072 patient-years of follow-up with a median time of 4.6 years from enrollment (cytokine/chemokine measurement) to cancer incidence. In fully adjusted models, CK score was associated with a higher risk of all-site (aHR 1.32, 95% CI 1.01-1.71, p < 0.001), lung (aHR 1.81, 1.40-2.34, p = 0.001), and lung/lymphoproliferative (aHR 1.54 [1.35-1.75], p < 0.001) cancer. The highest quartile of CK score was associated with a higher risk of all-site (aHR 1.91, 0.96-3.81, p = 0.07; p-trend = 0.005), lung (aHR 8.18, 1.63-41.23, p = 0.01; p-trend < 0.001), and lung/lymphoproliferative (aHR 4.56 [1.84-11.31], p = 0.001; p-trend < 0.001) cancer. Thirteen of 17 individual analytes were associated with incident cancer risk. CONCLUSION: Elevated cytokine/chemokine concentrations are predictive of future cancer in RA patients, particularly lung and lymphoproliferative cancers. These results suggest that the measurement of circulating cytokines/chemokines could be informative in cancer risk stratification and could provide insight into future cancer prevention strategies in RA, and possibly individuals without RA.