Validation of new medication use algorithms as proxies for worsening disease activity in patients with juvenile idiopathic arthritis.

PURPOSE: To facilitate claims-based research on populations with juvenile idiopathic arthritis (JIA), we sought to validate an algorithm of new medication use as a proxy for worsening JIA disease activity. METHODS: Using electronic health record data from three pediatric centers, we defined new JIA medication use as (re)initiation of disease-modifying antirheumatic drugs or glucocorticoids (oral or intra-articular). Data were collected from 201 randomly selected subjects with (101) or without (100) new medication use. We assessed the positive predictive value (PPV) and negative predictive value (NPV) based on a reference standard of documented worsening of JIA disease activity. The algorithm was refined to optimize test characteristics. RESULTS: Overall, the medication-based algorithm had suboptimal performance in representing worsening JIA disease activity (PPV 69.3%, NPV 77.1%). However, algorithm performance improved for definitions specifying longer times after JIA diagnosis (≥1-year post-diagnosis: PPV 82.9%, NPV 80.0%) or after initiation of prior JIA treatment (≥1-year post-treatment: PPV 89.7%, NPV 80.0%). CONCLUSION: An algorithm for new JIA medication use appears to be a reasonable proxy for worsening JIA disease activity, particularly when specifying new use ≥1 year since initiating a prior JIA medication. This algorithm will be valuable for conducting research on JIA populations within administrative claims databases.

Trajectories of disease activity in patients with JIA in the Childhood Arthritis and Rheumatology Research Alliance Registry.

OBJECTIVE: To describe 2-year trajectories of the clinical Juvenile Arthritis Disease Activity Score, 10 joints (cJADAS10) and associated baseline characteristics in patients with JIA. METHODS: JIA patients in the Childhood Arthritis and Rheumatology Research Alliance Registry enrolled within 3 months of diagnosis from 15 June 2015 to 6 December 2017 with at least two cJADAS10 scores and 24 months of follow-up were included. Latent growth curve models of cJADAS10 were analysed; a combination of Bayesian information criterion, posterior probabilities and clinical judgement was used to select model of best fit. RESULTS: Five trajectories were identified among the 746 included patients: High, Rapidly Decreasing (HRD) (n = 199, 26.7%); High, Slowly Decreasing (HSD) (n = 154, 20.6%); High, Increasing (HI) (n = 39, 5.2%); Moderate, Persistent (MP) (n = 218, 29.2%); and Moderate, Decreasing (MD) (n = 136, 18.2%). Most patients spent a significant portion of time at moderate to high disease activity levels. At baseline, HSD patients were more likely to be older, have a lower physician global assessment, normal inflammatory markers, longer time to first biologic, and have taken systemic steroids compared with HRD. Those with a HI trajectory were more likely to be ANA negative, have a longer time to first biologic, and less likely to be taking a conventional synthetic DMARD compared with HRD. MP patients were more likely to be older with lower household income, longer time to diagnosis, and markers of higher disease activity than those with a MD trajectory. CONCLUSIONS: Five trajectories of JIA disease activity, and associated baseline variables, were identified.

Identifying inpatient mortality in MarketScan claims data using machine learning.

PURPOSE: Inpatient mortality is an important variable in epidemiology studies using claims data. In 2016, MarketScan data began obscuring specific hospital discharge status types for patient privacy, including inpatient deaths, by setting the values to missing. We used a machine learning approach to correctly identify hospitalizations that resulted in inpatient death using data prior to 2016. METHODS: All hospitalizations from 2011 to 2015 with discharge status of missing, died, or one of the other subsequently obscured values were identified and divided into a training set and two test sets. Predictor variables included age, sex, elapsed time from hospital discharge until last observed claim and until healthcare plan disenrollment, and absence of any discharge diagnoses. Four machine learning methods were used to train statistical models and assess sensitivity and positive predictive value (PPV) for inpatient mortality. RESULTS: Overall 1 307 917 hospitalizations were included. All four machine learning approaches performed well in all datasets. Random forest performed best with 88% PPV and 93% sensitivity for the training set and both test sets. The two factors with the highest relative importance for identifying inpatient mortality were having no observed claims for the patient on days 2-91 following hospital discharge and patient disenrollment from the healthcare plan within 60 days following hospital discharge. CONCLUSION: We successfully developed machine learning algorithms to identify inpatient mortality. This approach can be applied to obscured data to accurately identify inpatient mortality among hospitalizations with missing discharge status.

Using pooled electronic health records data to conduct pharmacoepidemiology safety studies: Challenges and lessons learned.

PURPOSE: We assessed the suitability of pooled electronic health record (EHR) data from clinical research networks (CRNs) of the patient-centered outcomes research network to conduct studies of the association between tumor necrosis factor inhibitors (TNFi) and infections. METHODS: EHR data from patients with one of seven autoimmune diseases were obtained from three CRNs and pooled. Person-level linkage of CRN data and Centers for Medicare and Medicaid Services (CMS) fee-for-service claims data was performed where possible. Using filled prescriptions from CMS claims data as the gold standard, we assessed the misclassification of EHR-based new (incident) user definitions. Among new users of TNFi, we assessed subsequent rates of hospitalized infection in EHR and CMS data. RESULTS: The study included 45 483 new users of TNFi, of whom 1416 were successfully linked to their CMS claims. Overall, 44% of new EHR TNFi prescriptions were not associated with medication claims. Our most specific new user definition had a misclassification rate of 3.5%-16.4% for prevalent use, depending on the medication. Greater than 80% of CRN prescriptions had either zero refills or missing refill data. Compared to using EHR data alone, there was a 2- to 8-fold increase in hospitalized infection rates when CMS claims data were added to the analysis. CONCLUSIONS: EHR data substantially misclassified TNFi exposure and underestimated the incidence of hospitalized infections compared to claims data. EHR-based new user definitions were reasonably accurate. Overall, using CRN data for pharmacoepidemiology studies is challenging, especially for biologics, and would benefit from supplementation by other sources.

Psoriasis rate is increased by the exposure to TNF inhibition in children with JIA.

OBJECTIVE: We aimed to investigate the relationship between tumour necrosis factor inhibitors (TNFi) therapy and the onset of new psoriasis in children with juvenile idiopathic arthritis (JIA) using Childhood Arthritis and Rheumatology Research Alliance (CARRA) Registry data. METHODS: De-identified data were obtained from the CARRA Registry. Patients with inflammatory bowel disease or psoriasis documented on or prior to JIA diagnosis date or with incomplete data were excluded. Exposure to TNFi was categorised as: (1) ever use; (2) current use or (3) first use only. Adjusted HRs (aHRs) were calculated between exposed and unexposed groups adjusted for methotrexate exposure, sex, race, family history of psoriasis and initial JIA category. RESULTS: A total of 8225 patients were included with a median follow-up of 3.9 years. Over half of the patients were prescribed TNFi (n=4437, 54%). The aHR of new onset of psoriasis after ever exposure to TNFi was 2.93 (2.15 to 3.98). The incidence rate of psoriasis was the highest in children ever receiving and actively receiving adalimumab. Ever concurrent methotrexate use (HR 0.45, 0.29 to 0.69) was associated with lower risk. CONCLUSION: In a large prospective JIA patient registry, we observed a nearly threefold increased risk of psoriasis after TNFi exposureCite Now.

Oral Glucocorticoids and Incident Treatment of Diabetes Mellitus, Hypertension, and Venous Thromboembolism in Children.

Rates of incident treatment were quantified in this study for diabetes mellitus, hypertension, and venous thromboembolism (VTE) associated with oral glucocorticoid exposure in children aged 1-18 years. The retrospective cohort included more than 930,000 children diagnosed with autoimmune diseases (namely, inflammatory bowel disease, juvenile idiopathic arthritis, or psoriasis) or a nonimmune comparator condition (attention-deficit/hyperactivity disorder) identified using US Medicaid claims (2000-2010). Associations of glucocorticoid dose per age- and sex-imputed weight with incident treated diabetes, hypertension, and VTE were estimated using Cox regression models. Crude rates were lowest for VTE (unexposed: 0.5/million person-days (95% confidence interval (CI): 0.4, 0.6); currently exposed: 15.6/million person-days (95% CI: 11.8, 20.1)) and highest for hypertension (unexposed: 6.7/million person-days (95% CI: 6.5, 7.0); currently exposed: 74.4/million person-days (95% CI: 65.7, 83.9)). Absolute rates for all outcomes were higher in unexposed and exposed children with autoimmune diseases compared with those with attention-deficit/hyperactivity disorder. Strong dose-dependent relationships were found between current glucocorticoid exposure and all outcomes (adjusted hazard ratios for high-dose glucocorticoids: for diabetes mellitus, 5.93 (95% CI: 3.94, 8.91); for hypertension, 19.13 (95% CI: 15.43, 23.73); for VTE, 16.16 (95% CI: 8.94, 29.22)). These results suggest strong relative risks, but low absolute risks, of newly treated VTE, diabetes, and especially hypertension in children taking high-dose oral glucocorticoids.

Primary Oral Presentation of Sarcoidosis in a Pediatric Patient.

Sarcoidosis is a multisystem granulomatous disease of unknown etiology that commonly affects the lungs, lymph nodes, and skin. The disease often presents in patients between the third and sixth decade and its pathology is defined by the presence of noncaseating granulomas within organs throughout the body. Oral and neurologic involvement of sarcoid is extremely rare and occurs in approximately 1% and 5% of patients with the disease, respectively. A case of sarcoidosis involving the gingiva and submandibular lymph nodes is described in a 14-year-old girl. Further neural involvement of the disease was recognized after initial biopsy examinations and systemic evaluation. This presentation is especially rare given the patient's lack of symptoms, age at diagnosis, and initial oral manifestations.

Risk of malignancy associated with paediatric use of tumour necrosis factor inhibitors.

OBJECTIVE: To determine whether tumour necrosis factor inhibitor (TNFi) use is associated with an increased rate of incident malignancy compared with no TNFi use in the treatment of juvenile idiopathic arthritis (JIA), paediatric inflammatory bowel disease (pIBD) and paediatric plaque psoriasis (pPsO). METHODS: We performed a retrospective cohort study of administrative claims data from the USA from 2000 to 2014. Exposure to TNFi was considered permanent from the first observed exposure onward. The malignancy outcome was defined by diagnosis codes with evidence of cancer treatment. We calculated standardised incidence ratios (SIRs) comparing the observed number of malignancies to the expected numbers according to cancer surveillance data. We used multivariable Cox proportional hazards models to estimate adjusted HRs (aHRs) for incident malignancy. RESULTS: We identified 15 598 children with TNFi use and 73 839 children with no TNFi use (30 703 and 121 801 person-years of follow-up, respectively). We identified 15 malignancies among children with TNFi use (SIR 2.9 (1.6 to 4.9)) and 42 malignancies among children without TNFi use (SIR 2.1 (1.5 to 2.9)). The aHR was 1.58 (0.88 to 2.85) for TNFi use versus no TNFi use. In pIBD, TNFi use with thiopurine use was associated with a higher SIR (6.0 (1.2 to 17.5)) compared with TNFi use without thiopurine use (2.5 (0.7 to 6.4)). CONCLUSION: Children diagnosed with JIA, pIBD and pPsO had an increased rate of malignancy compared with the general population, but treatment with TNFi did not appear to significantly further increase the risk compared with no TNFi use. More data are needed about the long-term risks of TNFi use.

A Heterozygous RAB27A Mutation Associated with Delayed Cytolytic Granule Polarization and Hemophagocytic Lymphohistiocytosis.

Frequently fatal, primary hemophagocytic lymphohistiocytosis (HLH) occurs in infancy resulting from homozygous mutations in NK and CD8 T cell cytolytic pathway genes. Secondary HLH presents after infancy and may be associated with heterozygous mutations in HLH genes. We report two unrelated teenagers with HLH and an identical heterozygous RAB27A mutation (c.259G→C). We explore the contribution of this Rab27A missense (p.A87P) mutation on NK cell cytolytic function by cloning it into a lentiviral expression vector prior to introduction into the human NK-92 cell line. NK cell degranulation (CD107a expression), target cell conjugation, and K562 target cell lysis was compared between mutant- and wild-type-transduced NK-92 cells. Polarization of granzyme B to the immunologic synapse and interaction of mutant Rab27A (p.A87P) with Munc13-4 were explored by confocal microscopy and proximity ligation assay, respectively. Overexpression of the RAB27A mutation had no effect on cell conjugate formation between the NK and target cells but decreased NK cell cytolytic activity and degranulation. Moreover, the mutant Rab27A protein decreased binding to Munc13-4 and delayed granzyme B polarization toward the immunologic synapse. This heterozygous RAB27A mutation blurs the genetic distinction between primary and secondary HLH by contributing to HLH via a partial dominant-negative effect.

Bayesian comparative effectiveness study of four consensus treatment plans for initial management of systemic juvenile idiopathic arthritis: FiRst-Line Options for Systemic juvenile idiopathic arthritis Treatment (FROST).

BACKGROUND: Systemic juvenile idiopathic arthritis is a rare febrile arthritis of childhood characterized by a potentially severe course, including prolonged glucocorticoid exposure, growth failure, destructive arthritis, and life-threatening macrophage activation syndrome. Early cytokine-blocking biologic therapy may improve long-term outcomes, although some systemic juvenile idiopathic arthritis patients respond well to non-biologic treatment, leaving optimal management undefined. Consequently, treatment of new-onset systemic juvenile idiopathic arthritis by expert clinicians varies widely. PURPOSE: To describe a pragmatic, observational comparative effectiveness study that takes advantage of diversity in the management of a rare disease: FiRst-Line Options for Systemic juvenile idiopathic arthritis Treatment (FROST), comparing non-biologic and biologic consensus treatment plans for new-onset systemic juvenile idiopathic arthritis within the 60-center Childhood Arthritis and Rheumatology Research Alliance Registry (CARRA). METHODS: FiRst-Line Options for Systemic juvenile idiopathic arthritis Treatment (FROST) is a multicenter, prospective, non-randomized study that compares four Childhood Arthritis and Rheumatology Research Alliance (CARRA) consensus treatment plans for new-onset systemic juvenile idiopathic arthritis: (1) glucocorticoids alone, (2) methotrexate, (3) interleukin-1 blockade, and (4) interleukin-6 blockade. Patients consenting to participation in the Childhood Arthritis and Rheumatology Research Alliance (CARRA) Registry are started on one of four Consensus Treatment Plans at the discretion of the treating physician. The outcome of primary interest is clinically inactive disease off glucocorticoids at 9 months, comparing non-biologic (Consensus Treatment Plans 1 + 2) versus biologic (Consensus Treatment Plans 3 + 4) strategies. Bayesian analytic methods will be employed to evaluate response rates, using propensity scoring to balance treatment groups for potential confounding. With 200 patients in a 2:1 ratio of biologic to non-biologic, there is a >90% probability of finding biologic consensus treatment plans more effective if the rate of clinically inactive disease is 30% higher than for non-biologic therapy. Additional outcomes include Patient-Reported Outcomes Measurement Information System measures and other parent-/patient-reported outcomes reported in real time using smartphone technology. Routine operation of the Childhood Arthritis and Rheumatology Research Alliance (CARRA) Registry will allow assessment of outcomes over at least 10 years. RESULTS: FiRst-Line Options for Systemic juvenile idiopathic arthritis Treatment (FROST) began enrollment in November 2016. LIMITATIONS: The observational design may not provide balance in measured and unmeasured confounders. Use of consensus treatment plan (CTP) strategies at frequencies more unbalanced than predicted could reduce the chance of finding differences in efficacy. CONCLUSION: FiRst-Line Options for Systemic juvenile idiopathic arthritis Treatment (FROST) will provide the first prospective comparison of Childhood Arthritis and Rheumatology Research Alliance's (CARRA's) consensus-derived non-biologic versus biologic management strategies in systemic juvenile idiopathic arthritis, performed in a real-world setting wherein each patient receives standard-of-care treatment selected by the treating physician. Outcomes include clinician- and patient-/family-reported outcomes, empowering both physician and patient decision making in new-onset systemic juvenile idiopathic arthritis.

Risk of hospitalised infection in rheumatoid arthritis patients receiving biologics following a previous infection while on treatment with anti-TNF therapy.

BACKGROUND: The risk of subsequent infections in rheumatoid arthritis (RA) patients who receive biologic therapy after a serious infection is unclear. OBJECTIVE: To compare the subsequent risk of hospitalised infections associated with specific biologic agents among RA patients previously hospitalised for infection while receiving anti-tumour necrosis factor (anti-TNF) therapy. METHODS: Using 2006-2010 Medicare data for 100% of beneficiaries with RA enrolled in Medicare, we identified patients hospitalised with an infection while on anti-TNF agents. Follow-up began 61 days after hospital discharge and ended at the earliest of: next infection, loss of Medicare coverage or 18 months after start of follow-up. We calculated the incidence rate of subsequent hospitalised infection for each biologic and used Cox regression to control for potential confounders. RESULTS: 10 794 eligible hospitalised infections among 10183 unique RA patients who contributed at least 1 day of biologic exposure during follow-up. We identified 7807 person-years of exposure to selected biologics--333 abatacept, 133 rituximab and 7341 anti-TNFs (1797 etanercept, 1405 adalimumab, 4139 infliximab)--and 2666 associated infections. Mean age across biologic exposure cohorts was 64-69 years. The crude incidence rate of subsequent hospitalised infection ranged from 27.1 to 34.6 per 100 person-years. After multivariable adjustment, abatacept (HR: 0.80, 95% CI 0.64 to 0.99) and etanercept (HR: 0.83, 95% CI 0.72 to 0.96) users had significantly lower risks of subsequent infection compared to infliximab users. CONCLUSIONS: Among RA patients who experienced a hospitalised infection while on anti-TNF therapy, abatacept and etanercept were associated with the lowest risk of subsequent infection compared to other biologic therapies.

Risk of malignancy associated with biologic agents in pediatric rheumatic disease.

PURPOSE OF REVIEW: The Food and Drug Administration report of an increased rate of malignancy among children treated with tumor necrosis factor inhibitors is worrisome. These concerns prompted rigorous studies of the incidence of malignancy associated with juvenile idiopathic arthritis, both with and without treatment with specific therapeutic agents. This article reviews studies of the risk of malignancy associated with biologic agents for the treatment of juvenile idiopathic arthritis and childhood-onset systemic lupus erythematosus. RECENT FINDINGS: Several studies demonstrated an increased background rate of malignancy associated with juvenile idiopathic arthritis, although the impact of medication use on the risk of malignancy was less clear. Similarly, childhood-onset systemic lupus erythematosus is likely associated with an increased malignancy risk, and the impact of biologic agents is unknown. SUMMARY: The diagnoses of juvenile idiopathic arthritis and childhood-onset systemic lupus erythematosus are likely associated with an increased background risk of malignancy, irrespective of medication use. Further studies to estimate the risks of malignancy associated with pediatric rheumatic diseases and their treatments are needed.

Non-viral opportunistic infections in new users of tumour necrosis factor inhibitor therapy: results of the SAfety Assessment of Biologic ThERapy (SABER) study.

OBJECTIVES: To determine among patients with autoimmune diseases in the USA whether the risk of non-viral opportunistic infections (OI) was increased among new users of tumour necrosis factor α inhibitors (TNFI), when compared to users of non-biological agents used for active disease. METHODS: We identified new users of TNFI among cohorts of rheumatoid arthritis (RA), inflammatory bowel disease and psoriasis-psoriatic arthritis-ankylosing spondylitis patients during 1998-2007 using combined data from Kaiser Permanente Northern California, two pharmaceutical assistance programmes for the elderly, Tennessee Medicaid and US Medicaid/Medicare programmes. We compared incidence of non-viral OI among new TNFI users and patients initiating non-biological disease-modifying antirheumatic drugs (DMARD) overall and within each disease cohort. Cox regression models were used to compare propensity-score and steroid- adjusted OI incidence between new TNFI and non-biological DMARD users. RESULTS: Within a cohort of 33 324 new TNFI users we identified 80 non-viral OI, the most common of which was pneumocystosis (n=16). In the combined cohort, crude rates of non-viral OI among new users of TNFI compared to those initiating non-biological DMARD was 2.7 versus 1.7 per 1000-person-years (aHR 1.6, 95% CI 1.0 to 2.6). Baseline corticosteroid use was associated with non-viral OI (aHR 2.5, 95% CI 1.5 to 4.0). In the RA cohort, rates of non-viral OI among new users of infliximab were higher when compared to patients newly starting non-biological DMARD (aHR 2.6, 95% CI 1.2 to 5.6) or new etanercept users (aHR 2.9, 95% CI 1.5 to 5.4). CONCLUSIONS: In the USA, the rate of non-viral OI was higher among new users of TNFI with autoimmune diseases compared to non-biological DMARD users.

Tumor necrosis factor α inhibitor therapy and cancer risk in chronic immune-mediated diseases.

OBJECTIVE: To compare the incidence of cancer following tumor necrosis factor α (TNFα) inhibitor therapy to that with commonly used alternative therapies across multiple immune-mediated diseases. METHODS: The Safety Assessment of Biological Therapeutics study used data from 4 sources: national Medicaid and Medicare databases, Tennessee Medicaid, pharmacy benefits plans for Medicare beneficiaries in New Jersey and Pennsylvania, and Kaiser Permanente Northern California. Propensity score-adjusted hazard ratios (HRs) and 95% confidence intervals (95% CIs) were computed to estimate the relative rates of cancer, comparing those treated with TNFα inhibitors to those treated with alternative disease-modifying therapies. The cancer-finding algorithm had a positive predictive value ranging from 31% for any leukemia to 89% for female breast cancer. RESULTS: We included 29,555 patients with rheumatoid arthritis (RA) (13,102 person-years), 6,357 patients with inflammatory bowel disease (1,508 person-years), 1,298 patients with psoriasis (371 person-years), and 2,498 patients with psoriatic arthritis (618 person-years). The incidence of any solid cancer was not elevated in RA (HR 0.80 [95% CI 0.59-1.08]), inflammatory bowel disease (HR 1.42 [95% CI 0.47-4.26]), psoriasis (HR 0.58 [95% CI 0.10-3.31]), or psoriatic arthritis (HR 0.74 [95% CI 0.20-2.76]) during TNFα inhibitor therapy compared to disease-specific alternative therapy. Among RA patients, the incidence of any of the 10 most common cancers in the US and of nonmelanoma skin cancer was not increased with TNFα inhibitor therapy compared to treatment with comparator drugs. CONCLUSION: Short-term cancer risk was not elevated among patients treated with TNFα inhibitor therapy relative to commonly used therapies for immune- mediated chronic inflammatory diseases in this study.

Brief report: incidence of selected opportunistic infections among children with juvenile idiopathic arthritis.

OBJECTIVE: To compare incidence rates of selected opportunistic infections among children with and children without juvenile idiopathic arthritis (JIA). METHODS: Using U.S. national Medicaid administrative claims data from 2000 through 2005, we identified a cohort of children with JIA based on physician diagnosis codes and dispensed medications. We also identified a non-JIA comparator cohort of children diagnosed as having attention deficit hyperactivity disorder (ADHD). We defined 15 types of opportunistic infection using physician diagnosis or hospital discharge codes; criteria for 7 of these types also included evidence of treatment with specific antimicrobial agents. We calculated infection incidence rates. The rates in the ADHD comparator cohort were standardized to the age, sex, and race distribution of the JIA cohort. We calculated incidence rate ratios (IRRs) with 95% confidence intervals (95% CIs) to compare infection rates. RESULTS: The JIA cohort included 8,503 children with 13,990 person-years of followup. The ADHD comparator cohort included 360,362 children with 477,050 person-years of followup. When all opportunistic infections were considered together as a single outcome, there were 42 infections in the JIA cohort (incidence rate 300 per 100,000 person-years; IRR 2.4 [95% CI 1.7-3.3] versus ADHD). The most common opportunistic infections among children with JIA were 3 cases of Coccidioides (incidence rate 21 per 100,000 person-years; IRR 101 [95% CI 8.1-5,319] versus ADHD), 5 cases of Salmonella (incidence rate 35 per 100,000 person-years; IRR 3.8 [95% CI 1.2-9.5]), and 32 cases of herpes zoster (incidence rate 225 per 100,000 person-years; IRR 2.1 [95% CI 1.4-3.0]). CONCLUSION: Opportunistic infections are rare among children with JIA. Nevertheless, children with JIA had a higher rate of opportunistic infections, including an increased rate of Coccidioides, Salmonella, and herpes zoster compared to children with ADHD.

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

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

Comparative Effectiveness of a Second Tumor Necrosis Factor Inhibitor Versus a Non-Tumor Necrosis Factor Biologic in the Treatment of Patients With Polyarticular-Course Juvenile Idiopathic Arthritis.

OBJECTIVE: The objective of this study was to compare the effectiveness of a second tumor necrosis factor inhibitor (TNFi) versus a non-TNFi biologic following discontinuation of a TNFi for patients with polyarticular-course juvenile idiopathic arthritis (pJIA). METHODS: Using the Childhood Arthritis and Rheumatology Research Alliance Registry, patients with pJIA who started receiving a second biologic following a first TNFi were identified. Patients were required to have no active uveitis on the index date and a visit six months after the index date. Outcome measures included Clinical Juvenile Arthritis Disease Activity Score with a maximum of 10 active joints (cJADAS10), cJADAS10 inactive disease (ID; ≤2.5) and cJADAS10 minimal disease activity (MiDA; ≤5). Multiple imputation was used to account for missing data. Adjusted odds ratios (aORs) were calculated using propensity score quintiles to compare outcomes at six months following second biologic initiation. RESULTS: There were 216 patients included, 84% initially received etanercept, and most patients stopped receiving it because of its ineffectiveness (74%). A total of 183 (85%) started receiving a second TNFi, and 33 (15%) started receiving a non-TNFi. Adalimumab was the most common second biologic received (71% overall, 84% of second TNFi), and tocilizumab was the most common non-TNFi second biologic received (9% overall, 58% of non-TNFi). There was no difference between receiving TNFi versus non-TNFi in cJADAS10 ID (29% vs 25%; aOR 1.23, 95% confidence interval [CI] 0.47-3.20) or at least MiDA (43% vs 39%; aOR 1.11, 95% CI 0.47-2.62) at six months. CONCLUSION: Most patients with pJIA started receiving TNFi rather than non-TNFi as their second biologic, and there were no differences in disease activity at six months.

Infectious complications in juvenile idiopathic arthritis.

Juvenile idiopathic arthritis (JIA) is the most common rheumatic disease of childhood. Many questions regarding the risk of infection associated with JIA and with the immunosuppressant therapeutic agents commonly used to treat JIA are currently unanswered. It appears likely that JIA itself increases the background rate of serious bacterial infections, irrespective of immunosuppressant use. The available evidence suggests that treatment with methotrexate or tumor necrosis factor inhibitors only modestly increases the risk of serious infections and may not increase the risk at all. Opportunistic infections are very uncommon among children with JIA, but they likely occur at an increased rate compared to children without JIA. Intra-articular glucocorticoid injections almost never result in infectious complications in the treatment of JIA when performed carefully. Additional controlled studies of the risks of infection among children with JIA are needed, particularly comparative studies of newer therapeutic agents.

What is the background incidence of malignancy in children with rheumatic disease?

Until recently, relatively little was known about the background risk of malignancy in pediatric rheumatic diseases. Worrying reports about the development of malignancies in children treated with new biologic agents have prompted rigorous studies of the incidence of malignancy associated with juvenile idiopathic arthritis (JIA). These studies reveal that JIA is likely to be associated with an increased risk of incident malignancy, irrespective of treatment with new biologic agents. A preliminary study indicates that the background risk of malignancy is also elevated in pediatric-onset systemic lupus erythematosus. On the basis of simple observation, the background risk of malignancy among children with Sjögren syndrome and dermatomyositis seems much lower than the markedly elevated risk found in adults with the same diagnoses. Clearly, the background risk of malignancy must be considered in any evaluation of the safety of new therapeutic agents.

Rates of malignancy associated with juvenile idiopathic arthritis and its treatment.

OBJECTIVE: To determine the relative rates of incident malignancy among children with juvenile idiopathic arthritis (JIA) with respect to treatment as compared to children without JIA. METHODS: Using national Medicaid data from 2000 through 2005, we identified cohorts of children with JIA and without JIA according to the diagnosis codes used by their physicians and the medication prescriptions that were dispensed. Study followup began after a 6-month lag period to exclude prevalent and misdiagnosed malignancies. Treatment with methotrexate (MTX) and tumor necrosis factor (TNF) inhibitors was categorized as ever exposed or never exposed. Malignancy outcomes were identified using an adapted version of a previously validated algorithm. Incident malignancies were categorized as possible, probable, or highly probable based on a comprehensive review of all claims. Malignancy rates were standardized to the age, sex, and race distribution of the overall JIA cohort. Standardized incidence ratios (SIRs) were calculated using children with attention deficit hyperactivity disorder (n = 321,821) (one of two comparator groups included) as the referent group. RESULTS: The JIA cohort included 7,812 children with a total followup time of 12,614 person-years; 1,484 of these children contributed 2,922 person-years of TNF inhibitor exposure. For all children with JIA versus children without JIA, the SIR was 4.4 (95% confidence interval [95% CI] 1.8-9.0) for probable and highly probable malignancies. For those taking MTX without TNF inhibitor use, the SIR was 3.9 (95% CI 0.4-14). Following any use of TNF inhibitors, no probable or highly probable malignancies were identified (SIR 0 [95% CI 0-9.7]). CONCLUSION: Children with JIA appeared to have an increased rate of incident malignancy compared to children without JIA. The treatment for JIA, including TNF inhibitors, did not appear to be significantly associated with the development of malignancy.