A survey assessment of combined pediatric dermatology-rheumatology clinics.

The expertise of both dermatology and rheumatology may be beneficial when managing autoimmune conditions with cutaneous and systemic manifestations in children. This survey study was directed to pediatric dermatologists who participate in combined pediatric dermatology-rheumatology clinics; 13 sites in North America responded. The results provide information regarding clinic operations, benefits, and barriers to establishment. These findings have the potential to help institutions establish or modify combined pediatric dermatology-rheumatology clinics, although further research is needed to determine their impact.

Assessment of Real-World Patient-Reported Outcomes in Patients Initiating Biologic Agents for the Treatment of Autoimmune Diseases: An Observational Study in Four Patient-Powered Research Networks.

Background: The most reliable and meaningful approach for inclusion of patient-reported outcomes (PROs) in the evaluation of real-world clinical effectiveness of biologics in the treatment of autoimmune diseases is u ncertain. This study aimed to assess and compare the proportions of patients who had abnormalities in PROs measuring important general health domains at the initiation of treatment with biologics, as well as the effects of baseline abnormalities on subsequent improvement. Methods: PROs were collected for patient participants with inflammatory arthritis, inflammatory bowel disease, and vasculitis using Patient-Reported Outcomes Measurement Information System instruments. Scores were reported as T-scores normalized to the general population in the United States. Baseline PROs scores were collected near the time of biologic initiation, and follow-up scores were collected 3 to 8 months later. In addition to summary statistics, the proportion of patients with PROs abnormalities (scores ≥5 units worse than the population norm) was determined. Baseline and follow-up scores were compared, and an improvement of ≥5 units was considered significant. Results: There was wide variation across autoimmune diseases in baseline PROs scores for all domains. For example, the proportion of participants with abnormal baseline pain interference scores ranged from 52% to 93%. When restricted to participants with baseline PROs abnormalities, the proportion of participants experiencing an improvement of ≥5 units was substantially higher. Conclusion: As expected, many patients experienced improvement in PROs following initiation of treatment with biologics for autoimmune diseases. Nevertheless, a substantial proportion of participants did not exhibit abnormalities in all PROs domains at baseline, and these participants appear less likely to experience improvement. For PROs to be reliably and meaningfully included in the evaluation of real-world medication effectiveness, more knowledge and careful consideration are needed to select the most appropriate patient populations and subgroups for inclusion and evaluation in studies measuring change in PROs.

Probability of Response in the First Sixteen Weeks After Starting Biologics: An Analysis of Juvenile Idiopathic Arthritis Biologics Trials.

OBJECTIVES: Most juvenile idiopathic arthritis (JIA) biologic disease-modifying antirheumatic drugs (bDMARDs) trials used an open-label run-in period followed by randomized medication withdrawal. We used data from the run-in period of 4 bDMARD trials to 1) delineate early response trajectory to bDMARDs and 2) identify predictors of early response. METHODS: Data from the first 16 weeks of 4 bDMARD trials were used. The primary outcome was the American College of Rheumatology (ACR) Pediatric 50 (Pedi 50) response criteria: clinically significant response defined as ACR Pedi 50 or greater. The secondary outcome was the clinical Juvenile Arthritis Disease Activity Score in 10 joints (cJADAS10) minimal disease activity state. Response transition rates and predictors were modeled using an inhomogeneous Markov multistate model. RESULTS: Five hundred thirty-two participants (70% receiving methotrexate, 41% prednisone) were included. By month 4, the probability of attaining ACR Pedi 50 or greater was 0.698. If ACR Pedi 50 or more was not achieved by month 1, the probability of achieving it by month 4 was 0.60. If ACR Pedi 50 or more was not achieved by month 3, the probability of achieving this by month 4 was 0.31. Age at diagnosis, disease duration, baseline rheumatoid factor, and active joint counts predicted ACR and cJADAS state transitions, adjusted for concomitant treatment. CONCLUSIONS: No response ACR Pedi 50 or more by month 1 after treatment was associated with a 0.60 probability of responding by month 4, but not responding by month 3 was associated with a 0.31 probability of response by month 4. Baseline disease duration, rheumatoid factor, and active joint counts predicted early treatment response (ACR and cJADAS10 states).

Construct validity of Patient-Reported Outcomes Measurement Information System Paediatric measures in juvenile idiopathic arthritis and systemic lupus erythematosus: cross-sectional evaluation.

OBJECTIVES: Evaluate construct validity of Patient-Reported Outcomes Measurement Information System (PROMIS) Paediatric measures of symptoms and functioning against measures of disease activity among youth with juvenile idiopathic arthritis (JIA) or systemic lupus erythematosus (SLE). DESIGN: Cross-sectional associations among PROMIS measures and clinical metrics of disease activity were estimated. SETTING: Seven clinical sites of the Childhood Arthritis and Rheumatology Alliance (CARRA) in the USA. PARTICIPANTS: Youth aged 8-17 years enrolled in the CARRA Registry. INTERVENTION: PROMIS measures were collected and associations with clinical measures of disease activity estimated, by condition, in bivariate and multivariable analyses with adjustment for sociodemographics, insurance status, medications and disease duration. MAIN OUTCOME MEASURES: PROMIS Paediatric measures of mobility, physical activity, fatigue, pain interference, family relationships, peer relationships, depressive symptoms, psychological stress, anxiety, and meaning and purpose, and clinical metrics of disease. RESULTS: Among 451 youth (average age 13.8 years, 71% female), most (n=393, 87%) had a JIA diagnosis and the remainder (n=58, 13%) had SLE. Among participants with JIA, those with moderate/high compared with low/inactive disease had, on average, worse mobility (multivariable regression coefficient and 95% CIs) (-7.40; -9.30 to -5.50), fatigue (3.22; 1.02 to 5.42), pain interference (4.76; 3.04 to 6.48), peer relationships (-2.58; -4.52 to -1.64), depressive symptoms (3.00; 0.96 to 5.04), anxiety (2.48; 0.40 to 4.56) and psychological stress (2.52; 0.68 to 4.36). For SLE, youth with active versus inactive disease had on average worse mobility (-5.07; -10.15 to 0.01) but PROMIS Paediatric measures did not discriminate participants with active and inactive disease in adjusted analyses. CONCLUSIONS: Seven PROMIS Paediatric measures discriminated between active and inactive disease in youth with JIA. Results advance the usefulness of PROMIS for understanding well-being and improving interventions for youth with JIA, but larger studies are needed to determine utility in SLE cohorts. TRIAL REGISTRATION NUMBER: National Institute of Arthritis and Musculoskeletal and Skin Diseases (U19AR069522).

Disease Recapture Rates After Medication Discontinuation and Flare in Juvenile Idiopathic Arthritis: An Observational Study Within the Childhood Arthritis and Rheumatology Research Alliance Registry.

OBJECTIVE: Children with well-controlled juvenile idiopathic arthritis (JIA) frequently experience flares after medication discontinuation, but the outcomes of these flares have not been well described. The objective of this study was to characterize the rates and predictors of disease recapture among children with JIA who restarted medication to treat disease flare. METHODS: Children with JIA who discontinued conventional synthetic or biologic disease-modifying antirheumatic drugs for well-controlled disease but subsequently experienced a flare and restarted medication were identified from the Childhood Arthritis and Rheumatology Research Alliance (CARRA) registry. The primary outcome was inactive disease (ID) (physician global assessment <1 and active joint count = 0) 6 months after flare. RESULTS: A total of 333 patients had complete data for ID at 6 months after flare. The recapture rate for the cohort was 55%, ranging from 47% (persistent oligoarthritis) to 69% (systemic arthritis) (P = 0.4). Approximately 67% of children achieved ID by 12 months. In the multivariable model, history and reinitiation of biologic drugs were associated with increased odds of successful recapture (odds ratio [OR] 4.79 [95% confidence interval (95% CI) 1.22-18.78] and OR 2.74 [95% CI 1.62-4.63], respectively). Number of joints with limited range of motion was associated with decreased odds (OR 0.83 per 1 joint increase [95% CI 0.72-0.95]). CONCLUSION: Approximately half of JIA flares post-discontinuation were recaptured within 6 months, but rates of recapture varied across JIA categories. These findings inform shared decision-making for patients, families, and clinicians regarding the risks and benefits of medication discontinuation. Better understanding of biologic predictors of successful recapture in JIA are needed.

Management of Orofacial Manifestations of Juvenile Idiopathic Arthritis: Interdisciplinary Consensus-Based Recommendations.

Involvement of the temporomandibular joint (TMJ) is common in juvenile idiopathic arthritis (JIA). TMJ arthritis can lead to orofacial symptoms, orofacial dysfunction, and dentofacial deformity with negative impact on quality of life. Management involves interdisciplinary collaboration. No current recommendations exist to guide clinical management. We undertook this study to develop consensus-based interdisciplinary recommendations for management of orofacial manifestations of JIA, and to create a future research agenda related to management of TMJ arthritis in children with JIA. Recommendations were developed using online surveying of relevant stakeholders, systematic literature review, evidence-informed generation of recommendations during 2 consensus meetings, and Delphi study iterations involving external experts. The process included disciplines involved in the care of orofacial manifestations of JIA: pediatric rheumatology, radiology, orthodontics, oral and maxillofacial surgery, orofacial pain specialists, and pediatric dentistry. Recommendations were accepted if agreement was >80% during a final Delphi study. Three overarching management principles and 12 recommendations for interdisciplinary management of orofacial manifestations of JIA were outlined. The 12 recommendations pertained to diagnosis (n = 4), treatment of TMJ arthritis (active TMJ inflammation) (n = 2), treatment of TMJ dysfunction and symptoms (n = 3), treatment of arthritis-related dentofacial deformity (n = 2), and other aspects related to JIA (n = 1). Additionally, a future interdisciplinary research agenda was developed. These are the first interdisciplinary recommendations to guide clinical management of TMJ JIA. The 3 overarching principles and 12 recommendations fill an important gap in current clinical practice. They emphasize the importance of an interdisciplinary approach to diagnosis and management of orofacial manifestations of JIA.

Latent classes of early response trajectories to biologics initiation in juvenile idiopathic arthritis: an analysis of four trials.

AIMS: 1) To delineate latent classes of treatment response to biologics in juvenile idiopathic arthritis (JIA) patients in the first 16 weeks after initiation. 2) To identify predictors of early disease response. METHODS: The study population was drawn from four biologics trials in polyarticular course JIA: Etanercept 2000, Abatacept 2008, TRial of Early Aggressive Therapy (TREAT) 2012 and Tocilizumab 2014. The outcome was active joint counts (AJC). Semiparametric latent class trajectory analysis was applied to identify latent classes of response to treatment; AJC was transformed for this modelling. We tested baseline disease and treatment characteristics for their abilities to predict class membership of response. RESULTS: There were 480 participants, 74% females. At baseline, 26% were rheumatoid factor positive. 67% were on methotrexate at enrollment. Three latent class solution provided the best fit. Baseline AJC was the sole best predictor of class membership. Participants classified by their highest membership probabilities into high baseline AJC (> 30) and slow response (26.5%), low baseline AJC (< 10), early and sustained response (29.7%), and moderate baseline AJC progressive response (43.8%). Participants were classified into the latent classes with a mean class membership posterior probability of 0.97. Those on methotrexate at baseline were less likely to belong to high baseline AJC class. CONCLUSIONS: Three latent classes of responses were detectable in the first 16 weeks of biologics therapy. Those with the highest baseline AJC demonstrated very slow response in this window and were less likely to be on concomitant methotrexate. TRIALS REGISTRATION: TREAT 2012 (NCT NCT00443430 ) (Wallace et. al, Arthritis Rheum 64:2012-21, 2012), tocilizumab trial 2014 ( NCT00988221 ), abatacept trial 2008 ( NCT00095173 ). Etanercept 2000 from Amgen does not have a trial registration number.

Operational Effect of COVID-19 on Surgical Care at a Tertiary Pediatric Hospital.

The detrimental effects of the coronavirus disease 2019 (COVID-19) pandemic have profoundly disrupted surgical care at health care facilities worldwide. At our tertiary pediatric hospital, we made substantial adjustments to surgical suite utilization and staff member scheduling to account for reductions in surgical volume, increased demand for staff members in other sectors of the hospital, and the highly infectious properties of the virus. Perioperative leaders took advantage of the pandemic's disruption to clinical activities to design and implement a new procedure-scheduling process to rectify the inefficiencies that had accumulated as the previous system evolved. The implementation of said directives was largely facilitated by establishing communication with all involved parties for their input and feedback throughout the process. Although COVID-19 has had varying effects on procedural operations across pediatric health care facilities, we believe our institutional response to the disruptive forces of COVID-19 is of benefit to pediatric hospitals worldwide.

Outcome Measures in Pediatric Rheumatic Disease.

Reliable and responsive outcome measures that accurately detect changes in disease state, activity, and damage are crucial to conducting observational and interventional trials that can directly transform care for children with rheumatic disease. A combination of consensus-based and direct measurement approaches has led to the development of several validated, composite outcome measures in juvenile idiopathic arthritis, juvenile dermatomyositis, childhood-onset systemic lupus erythematosus, and pediatric vasculitis. This review outlines clinician-reported, disease-specific outcome measures developed for these conditions.

Definition and Validation of the American College of Rheumatology 2021 Juvenile Arthritis Disease Activity Score Cutoffs for Disease Activity States in Juvenile Idiopathic Arthritis.

OBJECTIVE: To develop and validate new Juvenile Arthritis Disease Activity Score 10 (JADAS10) and clinical JADAS10 (cJADAS10) cutoffs to separate the states of inactive disease (ID), minimal disease activity (MiDA), moderate disease activity (MoDA), and high disease activity (HDA) in children with oligoarthritis and with rheumatoid factor-negative polyarthritis, based on subjective disease assessment by the treating pediatric rheumatologist. METHODS: The cutoffs definition cohort was composed of 1,936 patients included in the multinational Epidemiology, Treatment and Outcome of Childhood Arthritis (EPOCA) study. Using the subjective physician rating as an external criterion, 4 methods were applied to identify the cutoffs: mapping, Youden index, 90% specificity, and maximum agreement. The validation cohort included 4,014 EPOCA patients, patients from 2 randomized trials, and 88 patients from the PharmaChild registry. Cutoff validation was conducted by assessing discriminative and predictive ability. RESULTS: The JADAS10 cutoffs were 1.4, 4, and 13, respectively, for oligoarthritis and 2.7, 6, and 17, respectively, for polyarthritis. The cJADAS10 cutoffs were 1.1, 4, and 12, respectively, for oligoarthritis and 2.5, 5, and 16, respectively, for polyarthritis. The cutoffs discriminated strongly among different levels of pain and morning stiffness, between patients who were and those who were not prescribed a new medication, and between different levels of improvement in clinical trials. Achievement of ID and MiDA according to the new JADAS cutoffs at least twice in the first year of disease predicted better outcome at 2 years. CONCLUSION: The 2021 JADAS and cJADAS cutoffs revealed good metrologic properties in both definition and validation samples, and are therefore suitable for use in clinical trials and routine practice.

Effects of the SARS-CoV-2 global pandemic on U.S. rheumatology outpatient care delivery and use of telemedicine: an analysis of data from the RISE registry.

The SARS-CoV-2 global pandemic resulted in major disruptions to medical care. We aimed to understand changes in outpatient care delivery and use of telemedicine in U.S. rheumatology practices during this period. Rheumatology Informatics System Effectiveness (RISE) is a national, EHR-enabled registry that passively collects data on all patients seen by participating practices. Included practices were required to have been participating in RISE from January 2019 through August 2020 (N = 213). We compared total visit counts and telemedicine visits during March-August 2020 to March-August 2019 and stratified by locations in states with shelter-in-place (SIP) orders. We assessed characteristics of patients within each practice, including primary rheumatic diagnosis and disease activity scores, where available. We included 213 practices with 945,160 patients. Overall, we found visit counts decreased by 10.9% (from 1,302,455 to 1,161,051) between March and August 2020 compared to 2019; this drop was most dramatic during the month of April (- 22.3%). Telemedicine visits increased from 0% to a mean of 12.1%. Practices in SIP states had more dramatic decreases in visits, (11.5% vs. 5.3%). We found no major differences in primary diagnoses or disease activity across the two periods. We detected a meaningful decrease in rheumatology visits in March-August 2020 during the SARS-CoV-2 global pandemic compared to the year prior with a concomitant increase in the use of telemedicine. Future work should address possible adverse consequences to patient outcomes due to decreased contact with clinicians.

Improved Disease Course Associated With Early Initiation of Biologics in Polyarticular Juvenile Idiopathic Arthritis: Trajectory Analysis of a Childhood Arthritis and Rheumatology Research Alliance Consensus Treatment Plans Study.

OBJECTIVE: To investigate the effects of early introduction of biologic disease-modifying antirheumatic drugs (bDMARDs) on the disease course in untreated polyarticular juvenile idiopathic arthritis (JIA). METHODS: We analyzed data on patients with polyarticular JIA participating in the Start Time Optimization of Biologics in Polyarticular JIA (STOP-JIA) study (n = 400) and a comparator cohort (n = 248) from the Childhood Arthritis and Rheumatology Research Alliance Registry. Latent class trajectory modeling (LCTM) was applied to identify subgroups of patients with distinct disease courses based on disease activity (clinical Juvenile Arthritis Disease Activity Score in 10 joints) over 12 months from baseline. RESULTS: In the STOP-JIA study, 198 subjects (49.5%) received bDMARDs within 3 months of baseline assessment. LCTM analyses generated 3 latent classes representing 3 distinct disease trajectories, characterized by slow, moderate, or rapid disease activity improvement over time. Subjects in the rapid improvement trajectory attained inactive disease within 6 months from baseline. Odds of being in the rapid improvement trajectory versus the slow improvement trajectory were 3.6 times as high (95% confidence interval 1.32-10.0; P = 0.013) for those treated with bDMARDs ≤3 months from baseline compared with subjects who started bDMARDs >3 months after baseline, after adjusting for demographic characteristics, clinical attributes, and baseline disease activity. Shorter disease duration at first rheumatology visit approached statistical significance as a predictor of favorable trajectory without bDMARD treatment. CONCLUSION: Starting bDMARDs within 3 months of baseline assessment is associated with more rapid achievement of inactive disease in subjects with untreated polyarticular JIA. These results demonstrate the utility of trajectory analysis of disease course as a method for determining treatment efficacy.

Optimizing the Start Time of Biologics in Polyarticular Juvenile Idiopathic Arthritis: A Comparative Effectiveness Study of Childhood Arthritis and Rheumatology Research Alliance Consensus Treatment Plans.

OBJECTIVE: The optimal time to start biologics in polyarticular juvenile idiopathic arthritis (JIA) remains uncertain. The Childhood Arthritis and Rheumatology Research Alliance (CARRA) developed 3 consensus treatment plans (CTPs) for untreated polyarticular JIA to compare strategies for starting biologics. METHODS: Start Time Optimization of Biologics in Polyarticular JIA (STOP-JIA) was a prospective, observational, CARRA Registry study comparing the effectiveness of 3 CTPs: 1) the step-up plan (initial nonbiologic disease-modifying antirheumatic drug [DMARD] monotherapy, adding a biologic if needed, 2) the early combination plan (DMARD and biologic started together), and 3) the biologic first plan (biologic monotherapy). The primary outcome measure was clinically inactive disease according to the provisional American College of Rheumatology (ACR) criteria, without glucocorticoids, at 12 months. Secondary outcome measures included Patient-Reported Outcomes Measurement Information System (PROMIS) pain interference and mobility scores, inactive disease as defined by the clinical Juvenile Arthritis Disease Activity Score in 10 joints (JADAS-10), and the ACR Pediatric 70 criteria (Pedi 70). RESULTS: Of 400 patients enrolled, 257 (64%) began the step-up plan, 100 (25%) the early combination plan, and 43 (11%) the biologic first plan. After propensity score weighting and multiple imputation, clinically inactive disease according to the ACR criteria was achieved in 37% of those on the early combination plan, 32% on the step-up plan, and 24% on the biologic first plan (P = 0.17). Inactive disease according to the clinical JADAS-10 (score ≤2.5) was also achieved in more patients on the early combination plan than the step-up plan (59% versus 43%; P = 0.03), as was ACR Pedi 70 (81% versus 62%; P = 0.008), but generalizability was limited by missing data. PROMIS measures improved in all groups, but without significant differences. Twenty serious adverse events were reported (mostly infections). CONCLUSION: Achievement of clinically inactive disease without glucocorticoids did not significantly differ between groups at 12 months. While there was a significantly higher likelihood of early combination therapy achieving inactive disease according to the clinical JADAS-10 and ACR Pedi 70, these results require further exploration.

American College of Rheumatology Guidance for the Management of Pediatric Rheumatic Disease During the COVID-19 Pandemic: Version 2.

OBJECTIVE: To provide clinical guidance to rheumatology providers who treat children with pediatric rheumatic disease (PRD) in the context of the coronavirus disease 2019 (COVID-19) pandemic. METHODS: The task force, consisting of 7 pediatric rheumatologists, 2 pediatric infectious disease physicians, 1 adult rheumatologist, and 1 pediatric nurse practitioner, was convened on May 21, 2020. Clinical questions and subsequent guidance statements were drafted based on a review of the queries posed by the patients as well as the families and healthcare providers of children with PRD. An evidence report was generated and disseminated to task force members to assist with 3 rounds of asynchronous, anonymous voting by email using a modified Delphi approach. Voting was completed using a 9-point numeric scoring system with predefined levels of agreement (categorized as disagreement, uncertainty, or agreement, with median scores of 1-3, 4-6, and 7-9, respectively) and consensus (categorized as low, moderate, or high). To be approved as a guidance statement, median vote ratings were required to fall into the highest tertile for agreement, with either moderate or high levels of consensus. RESULTS: To date, 39 guidance statements have been approved by the task force. Those with similar recommendations were combined to form a total of 33 final guidance statements, all of which received median vote ratings within the highest tertile of agreement and were associated with either moderate consensus (n = 5) or high consensus (n = 28). CONCLUSION: These guidance statements have been generated based on review of the available literature, indicating that children with PRD do not appear to be at increased risk for susceptibility to SARS-CoV-2 infection. This guidance is presented as a "living document," recognizing that the literature on COVID-19 is rapidly evolving, with future updates anticipated.

Making Decisions About Stopping Medicines for Well-Controlled Juvenile Idiopathic Arthritis: A Mixed-Methods Study of Patients and Caregivers.

OBJECTIVE: Improved treatments for juvenile idiopathic arthritis (JIA) have increased remission rates. We conducted this study to investigate how patients and caregivers make decisions about stopping medications when JIA is inactive. METHODS: We performed a mixed-methods study of caregivers and patients affected by JIA, recruited through social media and flyers, and selected by purposive sampling. Participants discussed their experiences with JIA, medications, and decision-making through recorded telephone interviews. Of 44 interviewees, 20 were patients (50% ages <18 years), and 24 were caregivers (50% caring for children ages ≤10 years). We evaluated characteristics associated with high levels of reported concerns about JIA or medicines using Fisher's exact testing. RESULTS: Decisions about stopping medicines were informed by competing risks between disease activity and treatment. Participants who expressed more concerns about JIA were more likely to report disease-related complications (P = 0.002) and more motivated to continue treatment. However, participants expressing more concern about medicines were more likely to report treatment-related complications (P = 0.04) and felt more compelled to stop treatment. Additionally, participants considered how JIA or treatments facilitated or interfered with their sense of normalcy and safety, expressed feelings of guilt and regret about previous or potential adverse events, and reflected on uncertainty and unpredictability of future harms. Decision-making was also informed by trust in rheumatologists and other information sources (e.g., family and online support groups). CONCLUSION: When deciding whether to stop medicines whenever JIA is inactive, patients and caregivers weigh competing risks between disease activity and treatment. Based on our results, we suggest specific approaches for clinicians to perform shared decision-making regarding stopping medicines for JIA.

Biologic Switching Among Nonsystemic Juvenile Idiopathic Arthritis Patients: A Cohort Study in the Childhood Arthritis and Rheumatology Research Alliance Registry.

OBJECTIVE: Biologic medications have significantly improved disease control and outcomes of patients with juvenile idiopathic arthritis (JIA). Current treatment recommendations suggest escalating therapy, including changing biologics if needed, when inactive or low disease activity is not attained. The patterns and reasons for switching biologics in clinical practice in North America are not well described. METHODS: We used the Childhood Arthritis and Rheumatology Research Alliance Registry and included individuals with JIA if they newly started a biologic after January 1, 2008, and had at least 12 months of subsequent observable time. Subjects with systemic JIA were excluded. We compared characteristics of switchers and nonswitchers using chi-square for categorical variables and Wilcoxon rank-sum test for continuous variables, and used linear regression for time analysis. RESULTS: Of the eligible children, 1361 with JIA in the registry started a biologic (94% tumor necrosis factor inhibitors [TNFi]). Median followup time was 30 months and 349 (26%) switched biologics. Among biologic switchers, ineffectiveness/disease flare was the most common reason for switch (202, 58%). The most common documented switch was from etanercept to another TNFi (221, 63%). The median time to switch to a second biologic decreased substantially from 55.2 months in 2008 to 7.2 months in 2016. CONCLUSION: In a multicenter cohort of patients with JIA starting a biologic, one-quarter switched to a second biologic, and the time to switching decreased in recent years. Additional studies should evaluate the outcomes and optimal timing of switching and preferred sequence of biologic use.

Pilot Study of the Juvenile Dermatomyositis Consensus Treatment Plans: A CARRA Registry Study.

OBJECTIVES: To determine the feasibility of comparing the Childhood Arthritis and Rheumatology ResearchAlliance (CARRA) consensus treatment plans (CTP) in treating moderate new-onset juvenile dermatomyositis (JDM) using the CARRA registry, and to establish appropriate analytic methods to control for confounding by indication and missing data. METHODS: A pilot cohort of 39 patients with JDM from the CARRA registry was studied. Patients were assigned by the treating physician, considering patient/family preferences, to 1 of 3 CTP: methotrexate (MTX) and prednisone (MP); intravenous (IV) methylprednisolone, MTX, and prednisone (MMP); or IV methylprednisolone, MTX, prednisone, and IV immunoglobulin (MMPI). The primary outcome was the proportion of patients achieving moderate improvement at 6 months under each CTP. Statistical methods including multiple imputation and inverse probability of treatment weighting were used to handle missing data and confounding by indication. RESULTS: Patients received MP (n = 13), MMP (n = 18) and MMPI (n = 8). Patients in all CTP had significant improvement in disease activity. Of the 36 patients who remained in our pilot study at 6 months, 16 (44%) of them successfully achieved moderate improvement at 6 months (6/13, 46% for MP; 7/15, 47% for MMP; 3/8, 38% for MMPI). After correcting for confounding, there were no statistically significant pairwise differences between the CTP (P = 0.328-0.88). CONCLUSION: We gained valuable experience and insight from our pilot study that can be used to guide the design and analysis of comparative effectiveness studies using the CARRA registry CTP approach. Our analytical methods can be adopted for future comparative effectiveness studies and applied to other rare disease observational studies.

American College of Rheumatology Guidance for the Management of Pediatric Rheumatic Disease During the COVID-19 Pandemic: Version 1.

OBJECTIVE: To provide clinical guidance to rheumatology providers who treat children with pediatric rheumatic disease (PRD) in the context of the coronavirus disease 2019 (COVID-19) pandemic. METHODS: The task force, consisting of 7 pediatric rheumatologists, 2 pediatric infectious disease physicians, 1 adult rheumatologist, and 1 pediatric nurse practitioner, was convened on May 21, 2020. Clinical questions and subsequent guidance statements were drafted based on a review of the queries posed by the patients as well as the families and healthcare providers of children with PRD. An evidence report was generated and disseminated to task force members to assist with 3 rounds of asynchronous, anonymous voting by email using a modified Delphi approach. Voting was completed using a 9-point numeric scoring system with predefined levels of agreement (categorized as disagreement, uncertainty, or agreement, with median scores of 1-3, 4-6, and 7-9, respectively) and consensus (categorized as low, moderate, or high). To be approved as a guidance statement, median vote ratings were required to fall into the highest tertile for agreement, with either moderate or high levels of consensus. RESULTS: The task force drafted 33 guidance statements, which were voted upon during the second and third rounds of voting. Of these 33 statements, all received median vote ratings within the highest tertile of agreement and were associated with either moderate consensus (n = 6) or high consensus (n = 27). Statements with similar recommendations were combined, resulting in 27 final guidance statements. CONCLUSION: These guidance statements have been generated based on review of the available literature, indicating that children with PRD do not appear to be at increased risk for susceptibility to SARS-CoV-2 infection. This guidance is presented as a "living document," recognizing that the literature on COVID-19 is rapidly evolving, with future updates anticipated.