The Risk of Lung Cancer in Rheumatoid Arthritis and Rheumatoid Arthritis-Associated Interstitial Lung Disease.

OBJECTIVE: To evaluate lung cancer risk in rheumatoid arthritis (RA) and RA-interstitial lung disease (ILD). METHODS: We performed a retrospective, matched cohort study of RA and RA-ILD within the Veterans Health Administration (VA) between 2000-2019. RA and RA-ILD patients were identified with validated administrative-based algorithms then matched (up to 1:10) on age, gender, and VA enrollment year to individuals without RA. Lung cancers were identified from a VA oncology database and the National Death Index. Conditional Cox regression models assessed lung cancer risk adjusting for race, ethnicity, smoking status, Agent Orange exposure, and comorbidity burden among matched individuals. Several sensitivity analyses were performed. RESULTS: We matched 72,795 RA to 633,937 non-RA persons (mean age 63 years; 88% male). Over 4,481,323 patient-years, 17,099 incident lung cancers occurred. RA was independently associated with an increased lung cancer risk (aHR 1.58 [1.52, 1.64]), which persisted in never-smokers (aHR 1.65 [1.22, 2.24]) and incident RA (aHR 1.54 [1.44, 1.65]). Compared to non-RA controls, prevalent RA-ILD (n=757) was more strongly associated with lung cancer risk (aHR 3.25 [2.13, 4.95]) than RA without ILD (aHR 1.57 (1.51, 1.64]). Analyses of both prevalent and incident RA-ILD produced similar results (RA-ILD vs. non-RA aHR 2.88 [2.45, 3.40]). CONCLUSION: RA was associated with a >50% increased risk of lung cancer, and RA-ILD represented a particularly high-risk group with an approximate 3-fold increased risk. Increased lung cancer surveillance in RA, and especially RA-ILD, may be a useful strategy for reducing the burden posed by the leading cause of cancer death.

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.

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.

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.

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.

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.

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.

Factors Associated With Unplanned Reoperation After 4-Corner Arthrodesis: A Study of 478 Wrists.

Purpose: The 4-corner arthrodesis (FCA) is a reliable, motion-sparing technique used to treat scapholunate advanced collapse and scaphoid nonunion advanced collapse arthritis, particularly in stage III wrists in which the capitolunate articulation is compromised. Surgical technique and patient-level variables may influence complications following FCA. We sought to evaluate the rate of complications in a large, combined database and manual chart review study. Methods: Current Procedural Terminology codes were used to search the United States Veteran's Health Administration corporate database to identify wrists treated with FCA over a 24-year period. A retrospective chart review was completed to collect data regarding scapholunate advanced collapse/scaphoid nonunion advanced collapse stage, implant used, the use of a bone graft, smoking status, and comorbidities for all patients undergoing an FCA. A multivariable cox proportional hazards regression was used to assess hazard ratios for reoperation. Incidence rates and the standard error of the mean for reoperation and conversion to total wrist fusion were calculated after grouping patients by 10-year age categories. Results: A total of 478 wrists underwent FCA during the study period, with a mean follow-up of 63 months. Seventy-three (16%) wrists required reoperation. The most frequent secondary procedures included unplanned implant removal (8.2%), total wrist arthrodesis (4.6%), and revision FCA (1.7%). Positive smoking history increased the risk of reoperation, whereas posterior interosseous nerve neurectomy, arthritis stage, and fixation type did not have a statistically significant association with reoperation. Younger age demonstrated an increased incidence of overall reoperation and wrist fusion. Conclusions: The most common reason for reoperation after FCA was implant removal. Smoking history is associated with increased rates of reoperation and wrist arthrodesis. Knowledge of these factors may assist with accurately counseling and indicating patients for FCA. Type of study/level of evidence: Therapeutic III.

Risk of Total Wrist Arthrodesis Following Proximal Row Carpectomy: An Analysis of 1,070 Patients.

PURPOSE: Proximal row carpectomy (PRC) is a motion-sparing procedure with good patient-reported and clinical outcomes. Although some studies have investigated the risk of conversion to total wrist arthrodesis (TWA) after PRC, additional larger studies evaluating the specific risk factors that lead to failure are required. This study aimed to investigate the patient and procedure factors that are associated with increased risk for conversion to TWA in a large cohort of patients who underwent PRC. METHODS: The current procedural technology codes identified patients in a National Veteran's Health database undergoing a PRC over a 26-year period. Risk factors of interest comprised age, posterior interosseous nerve neurectomy, wrist arthritis pattern, bilateral surgery, smoking, comorbidities, and preoperative opioid use. The primary outcome was the rate of conversion to TWA. Cox proportional hazard regression was used to create hazard ratios of selected factors for reoperation. RESULTS: There were 1,070 PRCs performed, with a mean follow-up of 79.8 ± 59.6 months. A total of 5.3% (57/1,070) wrists underwent conversion to TWA. Younger age at the time of PRC (<50 years) significantly increased the risk of TWA (hazard ratio, 3.8; 95% confidence interval, 2.2-6.6). With every 1-year increase in age, there was a reduction of 4% (hazard ratio, 0.96; 95% confidence interval: 0.94-0.98) in the hazard of conversion to TWA. No other factors, including concomitant posterior interosseous nerve neurectomy or bilateral PRC, increased the risk of conversion to TWA. CONCLUSIONS: Proximal row carpectomy is a motion-preserving salvage procedure with a low rate of conversion to wrist arthrodesis. Younger patient age increases the risk of conversion to arthrodesis, whereas posterior interosseous nerve neurectomy, bilateral PRCs, and comorbidity status do not appear to have an impact on the risk of arthrodesis. TYPE OF STUDY/LEVEL OF EVIDENCE: Prognostic II.

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.

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.

Elevations in adipocytokines and mortality in rheumatoid arthritis.

OBJECTIVES: This study assessed whether circulating levels of adiponectin and leptin are associated with higher mortality in patients with RA. METHODS: Participants were adults from the Veterans Affairs RA Registry. Adipokines and inflammatory cytokines were measured as part of a multi-analyte panel on banked serum at enrolment. Dates and causes of death were derived from the Corporate Data Warehouse and the National Death Index. Covariates were derived from medical record, biorepository and registry databases. Multivariable Cox proportional hazard models evaluated associations between biomarkers and all-cause and cause-specific mortality. RESULTS: A total of 2583 participants were included. Higher adiponectin levels were associated with older age, male sex, white race, lower BMI, autoantibody seropositivity, radiographic damage, longer disease duration, prednisone use and osteoporosis. Higher adiponectin concentrations were also associated with higher levels of inflammatory cytokines but not higher disease activity at enrolment. Leptin was primarily associated with greater BMI and comorbidity. The highest quartile of adiponectin (vs lowest quartile) was associated with higher all-cause mortality [hazard ratio (HR): 1.46 (95% CI: 1.11, 1.93), P = 0.009] and higher cardiovascular mortality [HR: 1.85 (95% CI: 1.24, 2.75), P = 0.003], after accounting for covariates. Higher leptin levels were also associated with greater all-cause and cancer mortality. CONCLUSIONS: Elevations in adipokines are associated with age, BMI, comorbidity and severe disease features in RA and independently predict early death. Associations between adiponectin and inflammatory cytokines support the hypothesis that chronic subclinical inflammation promotes metabolic changes that drive elevations in adipokines and yield adverse health outcomes.

Development and implementation of a pharmacist-led telehealth medication management program for veterans receiving oral antineoplastic therapies through the MISSION Act.

PURPOSE: Veterans prescribed oral antineoplastic therapies (OATs) by community providers outside the Veterans Health Administration (VA) may lack access to comprehensive medication management. To address this, our multidisciplinary team developed and implemented a pharmacist-led telehealth medication management program for veterans prescribed OATs by community providers. SUMMARY: The program exclusively uses telehealth to connect veterans with a dedicated board-certified clinical oncology pharmacist who provides comprehensive medication management. The program is based on established pharmacy models found in the research literature. We developed a standard operating procedure, communication templates, patient education materials, and a suite of health information technology tools to help streamline pharmacy processes. The Consolidated Framework for Implementation Research was used to design implementation strategies to promote the adoption of the program. In the first year, 64 veterans from 3 VA medical centers were enrolled in the program. The oncology clinical pharmacist performed 342 encounters and 101 interventions. The program saved an estimated $200,724 in medication-related costs. The veterans we surveyed reported high levels of satisfaction with the pharmacy services provided by the program. CONCLUSION: The delivery of comprehensive medication management through telehealth is feasible from a healthcare system perspective and beneficial for patients. The board-certified oncology clinical pharmacist provided remote pharmacy services to Veterans across three sites in a large and rural service area for the VA. The program realized several benefits, including positive clinical outcomes, high levels of patient satisfaction, and cost savings on medication-related costs.

Scaphotrapeziotrapezoid Arthrodesis: A 10-Year Follow-up Study of Complications in 58 Wrists.

BACKGROUND: Scaphotrapeziotrapezoid (STT) arthrodesis is a procedure used for specific degenerative arthritis and instability patterns of the wrist. This study evaluates nonunion rate and risk factors for reoperation after STT arthrodesis in the Veterans Affairs Department patient population. The purpose of our study was to assess the long-term nonunion rate following STT arthrodesis and to identify factors associated with reoperation. METHODS: The national Veterans Health Administration Corporate Data Warehouse and Current Procedural Terminology codes identified STT arthrodesis procedures from 1995 to 2016. Frequencies of total wrist arthrodesis (TWA) and secondary operations were determined. Univariate analyses provided odds ratios for risk factors associated with complications. RESULTS: Fifty-eight STT arthrodeses were performed in 54 patients with a mean follow-up of 120 months. Kirschner wires (K-wires) were the most common fixation method (69%). Six wrists (10%) required secondary procedures: 5 TWAs and 1 revision STT arthrodesis. Four patients underwent additional procedures for nonunion (7%). Twenty-four patients required K-wire removal, 8 (14%) of these in the operating room, which were not included in regression analysis. Every increase in 1 year of age resulted in a 15% decrease in likelihood of reoperation (95% confidence interval: 0.77-0.93; P < .0001). Opioid use within 90 days before surgery (P = 1.00), positive smoking history (P = 1.00), race (P = .30), comorbidity count (P = .25), and body mass index (P = .19) were not associated with increased risk of reoperation. CONCLUSIONS: At a mean follow-up of 10 years, patients undergoing STT arthrodesis have a 10% risk of reoperation, and this risk decreases with older patient age. There was a symptomatic nonunion rate of 7%, similar to prior published rates. Patient demographics, comorbidity, smoking history, and opioid use did not appear to increase risk of reoperation.

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.

Predicting Survival in Veterans with Follicular Lymphoma Using Structured Electronic Health Record Information and Machine Learning.

The most accurate prognostic approach for follicular lymphoma (FL), progression of disease at 24 months (POD24), requires two years' observation after initiating first-line therapy (L1) to predict outcomes. We applied machine learning to structured electronic health record (EHR) data to predict individual survival at L1 initiation. We grouped 523 observations and 1933 variables from a nationwide cohort of FL patients diagnosed 2006-2014 in the Veterans Health Administration into traditionally used prognostic variables ("curated"), commonly measured labs ("labs"), and International Classification of Diseases diagnostic codes ("ICD") sets. We compared performance of random survival forests (RSF) vs. traditional Cox model using four datasets: curated, curated + labs, curated + ICD, and curated + ICD + labs, also using Cox on curated + POD24. We evaluated variable importance and partial dependence plots with area under the receiver operating characteristic curve (AUC). RSF with curated + labs performed best, with mean AUC 0.73 (95% CI: 0.71-0.75). It approximated, but did not surpass, Cox with POD24 (mean AUC 0.74 [95% CI: 0.71-0.77]). RSF using EHR data achieved better performance than traditional prognostic variables, setting the foundation for the incorporation of our algorithm into the EHR. It also provides for possible future scenarios in which clinicians could be provided an EHR-based tool which approximates the predictive ability of the most accurate known indicator, using information available 24 months earlier.

Treatment Patterns and Outcomes in a Nationwide Cohort of Older and Younger Veterans with Waldenström Macroglobulinemia, 2006-2019.

Little is known about real-world treatment patterns and outcomes in Waldenström macroglobulinemia (WM) following the recent introduction of newer treatments, especially among older adults. We describe patterns of first-line (1 L) WM treatment in early (2006-2012) and modern (2013-2019) eras and report outcomes (overall response rate (ORR), overall survival (OS), progression-free survival (PFS), and adverse event (AE)-related discontinuation) in younger (≤70 years) and older (>70 years) populations. We followed 166 younger and 152 older WM patients who received 1 L treatment between January 2006 and April 2019 in the Veterans Health Administration. Median follow-up was 43.5 months (range: 0.6-147.2 months). Compared to the early era, older patients in the modern era achieved improved ORRs (early: 63.8%, modern: 72.3%) and 41% lower risk of death/progression (hazard ratio (HR) for PFS: 0.59, 95% CI (confidence interval): 0.36-0.95), with little change in AE-related discontinuation between eras (HR: 0.82, 95% CI: 0.4-1.7). In younger patients, the AE-related discontinuation risk increased almost fourfold (HR: 3.9, 95% CI: 1.1-14), whereas treatment effects did not change between eras (HR for OS: 1.4, 95% CI: 0.66-2.8; HR for PFS: 1.1, 95% CI: 0.67-1.7). Marked improvements in survival among older adults accompanied a profound shift in 1 L treatment patterns for WM.

Heart Failure Hospitalization Risk associated with Iron Status in Veterans with CKD.

BACKGROUND AND OBJECTIVES: CKD is an independent risk factor for heart failure. Iron dysmetabolism potentially contributes to heart failure, but this relationship has not been well characterized in CKD. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: We performed a historical cohort study using data from the Veterans Affairs Corporate Data Warehouse to evaluate the relationship between iron status and heart failure hospitalization. We identified a CKD cohort with at least one set of iron indices between 2006 and 2015. The first available date of serum iron indices was identified as the study index date. The cohort was divided into four iron groups on the basis of the joint quartiles of serum transferrin saturation (shown in percent) and ferritin (shown in nanograms per milliliter): reference (16%-28%, 55-205 ng/ml), low iron (0.4%-16%, 0.9-55 ng/ml), high iron (28%-99.5%, 205-4941 ng/ml), and function iron deficiency (0.8%-16%, 109-2783 ng/ml). We compared 1-year heart failure hospitalization risk between the iron groups using matching weights derived from multinomial propensity score models and Poisson rate-based regression. RESULTS: A total of 78,551 veterans met the eligibility criteria. The covariates were well balanced among the iron groups after applying the propensity score weights (n=31,819). One-year adjusted relative rate for heart failure hospitalization in the iron deficiency groups were higher compared with the reference group (low iron: 1.29 [95% confidence interval, 1.19 to 1.41]; functional iron deficiency: 1.25 [95% confidence interval, 1.13 to 1.37]). The high-iron group was associated with lower 1-year relative rate of heart failure hospitalization (0.82; 95% confidence interval, 0.72 to 0.92). Furthermore, the association between iron deficiency and heart failure hospitalization risk remained consistent regardless of the diabetes status or heart failure history at baseline. CONCLUSIONS: Iron deficiency, regardless of cause, was associated with higher heart failure hospitalization risk in CKD. Higher iron status was associated with lower heart failure hospitalization risks.

Perioperative Continuation of Biologic Medications Increases Odds of Periprosthetic Joint Infection in Patients With Inflammatory Arthropathy.

BACKGROUND: Rates of prosthetic joint infection (PJI) are elevated among patients with inflammatory arthropathy (IA). The effect of continuing biologic drugs perioperatively with regard to PJI is unknown. The purpose of this study is to compare rates of perioperative biologic continuation in IA patients who did and did not develop PJI after primary total joint arthroplasty (TJA). METHODS: All cases of PJI within 1 year of primary TJA in IA patients on biologic medications were retrospectively reviewed from 2005 to 2018 in the US Veterans Affairs Corporate Data Warehouse. Matched controls who did not develop PJI after TJA were populated from the same database. Biologic suspension, defined as medication interruption prior to TJA with surgery occurring after the end of the dosing cycle and resumption after wound healing, was compared among cases and controls. RESULTS: Biologic medications were continued through surgery in 35% (9/26) of patients who developed PJI compared to 14% (8/58) of controls (P = .031; adjusted odds ratio of 3.46 [1.11-10.78]). No significant difference existed among cases (n = 26) and controls (n = 58) for age, gender, procedure, body mass index, rates of diabetes or chronic kidney disease, smoking status, or preoperative opioid use (all P > .05). CONCLUSION: With the limited sample sizes available in this study, we found an association with perioperative continuation of biologic medications and PJI. This data may provide support for current guidelines from the American Association of Hip and Knee Surgeons to withhold biologics before TJA with surgery scheduled at the end of the dosing cycle and medication resumption only after wound healing.