Comparative effectiveness of tocilizumab versus TNF inhibitors as monotherapy or in combination with conventional synthetic disease-modifying antirheumatic drugs in patients with rheumatoid arthritis after the use of at least one biologic disease-modifying antirheumatic drug: analyses from the pan-European TOCERRA register collaboration.

OBJECTIVE: To compare the effectiveness of tocilizumab (TCZ) and tumour necrosis factor (TNF) inhibitors (TNFi) as monotherapy or in combination with conventional synthetic disease-modifying antirheumatic drugs (DMARDs) in patients with rheumatoid arthritis (RA) after the use of at least one biologic DMARD (bDMARD). METHODS: We included patients with RA having used at least one bDMARD from 10 European registries. We compared drug retention using Kaplan-Meier and Cox models and Clinical Disease Activity Index (CDAI) change over time with mixed-effects models for longitudinal data. The proportions of CDAI remission and low disease activity (LDA) at 1 year were compared using LUNDEX correction. RESULTS: 771 patients on TCZ as monotherapy (TCZ mono), 1773 in combination therapy (TCZ combo), 1404 on TNFi as monotherapy (TNFi mono) and 4660 in combination therapy (TNFi combo) were retrieved. Crude median retention was higher for TCZ mono (2.31 years, 95% CI 2.07 to 2.61) and TCZ combo (1.98 years, 95% CI 1.83 to 2.11) than TNFi combo (1.37 years, 95% CI 1.30 to 1.45) and TNFi mono (1.31 years, 95% CI 1.18 to 1.47). In a country and year of treatment initiation-stratified, covariate-adjusted analysis, hazards of discontinuation were significantly lower among patients on TCZ mono or combo compared with patients on TNFi mono or combo, and TNFi combo compared with TNFi mono, but similar between TCZ mono and combo. Average adjusted CDAI change was similar between groups. CDAI remission and LDA rates were comparable between groups. CONCLUSION: With significantly longer drug retention and similar efficacy to TNFi combo, TCZ mono or combo are reasonable therapeutic options in patients with inadequate response to at least one bDMARD.

Characterizing Disease Manifestations and Treatment Patterns Among Adults with Systemic Sclerosis: A Retrospective Analysis of a US Healthcare Claims Population.

INTRODUCTION: Real-world use of immunomodulating therapy (IMT) in patients with systemic sclerosis (SSc) was investigated for the first time in a descriptive, retrospective cohort analysis of claims made in a healthcare insurance database to characterize treatment patterns and their alignment with SSc disease manifestations. METHODS: Treatment patterns and disease manifestations, symptoms, complications, and comorbidities were assessed in patients with SSc enrolled in a US healthcare claims database who received treatment between January 2006 and December 2013 and for whom data were available 6 months before and 12 months after SSc diagnosis. RESULTS: Among 7812 eligible patients, 6852 received treatments of interest for SSc and 2404 (30.8%) received IMT during the first year after SSc diagnosis. In the first year after diagnosis, the most common claims were for antibiotics (61.7%), opioids (50.6%), glucocorticoids (46.5%), and proton pump inhibitors (35.4%); the most common organs involved with complications among patients with SSc were lung (30.5%), heart (17.4%), and gastrointestinal tract (22.4%); the most common signs or symptoms were musculoskeletal (16.1%) and fatigue (10.5%); 1035 patients (15.1%) had infections and 14 (0.2%) had malignancies. Among patients who received IMT, 43.8% received at least hydroxychloroquine and 21.1% received at least methotrexate; 460 patients switched to a second IMT, 23.0% to at least methotrexate and 22.8% to at least mycophenolate mofetil. The most common comorbidities reported with first IMT were in lung (11.8%), overlap syndrome (8.4%), heart (5.3%), and gastrointestinal (6.8%) categories. CONCLUSION: One-third of patients with SSc in the healthcare claims population received IMTs during the first year after diagnosis. However, patients who received IMTs had disease manifestations similar to those of the overall SSc healthcare claims population.

Comparative effectiveness of TNF inhibitors and tocilizumab with and without conventional synthetic disease-modifying antirheumatic drugs in a pan-European observational cohort of bio-naïve patients with rheumatoid arthritis.

OBJECTIVES: To compare treatment effectiveness in rheumatoid arthritis (RA) patients naïve to biological disease-modifying antirheumatic drugs (bDMARDs) treated with tocilizumab (TCZ) or TNF-inhibitor (TNFi) with (-combo) or without (-mono) conventional synthetic DMARDs (csDMARDs). METHODS: Patients with RA across 7 European registries, naïve to bDMARDs who initiated treatment with TCZ or TNFi from 2009 to 2016 were included. Drug retention rate was analyzed using Kaplan-Meier and Cox models, and CDAI over time by mixed models. The proportions of patients reaching CDAI low disease activity (LDA) and remission after one year were corrected for attrition. RESULTS: 6713 TNFi-combo, 3762 TNFi-mono, 646 TCZ-combo and 384 TCZ-mono were eligible. Crude median retention was 3.67 years (95%CI 3.41-3.83) for TNFi-combo, 4.14 (3.77-4.62) for TNFi-mono, 2.98 (2.76-3.34) for TCZ-combo and 3.63 years (3.34-5.03) for TCZ-mono. After adjustment for covariates, country and year of treatment initiation stratification, hazards of discontinuation were lower for TCZ-mono (0.60, 95% CI 0.52-0.69) and TCZ-combo (0.66, 95% CI 0.54-0.81) compared to TNFi-combo. Adjusted CDAI evolution was not significantly different between groups. CDAI LDA and remission corrected for attrition were similar between TCZ with or without csDMARDs and TNFi-combo. CONCLUSION: In routine care across 7 European countries, the adjusted drug retention, adjusted CDAI over time and attrition-corrected response proportion for RA patients were similar for bio-naïve patients if treated with TNFi-combo, TCZ-combo or TCZ-mono.

Optimizing community-level surveillance data for pediatric asthma management.

Community-level approaches for pediatric asthma management rely on locally collected information derived primarily from two sources: claims records and school-based surveys. We combined claims and school-based surveillance data, and examined the asthma-related risk patterns among adolescent students. Symptom data collected from school-based asthma surveys conducted in Oakland, CA were used for case identification and determination of severity levels for students (high and low). Survey data were matched to Medicaid claims data for all asthma-related health care encounters for the year prior to the survey. We then employed recursive partitioning to develop classification trees that identified patterns of demographics and healthcare utilization associated with severity. A total of 561 students had complete matched data; 86.1% were classified as high-severity, and 13.9% as low-severity asthma. The classification tree consisted of eight subsets: three indicating high severity and five indicating low severity. The risk subsets highlighted varying combinations of non-specific demographic and socioeconomic predictors of asthma prevalence, morbidity and severity. For example, the subset with the highest class-prior probability (92.1%) predicted high-severity asthma and consisted of students without prescribed rescue medication, but with at least one in-clinic nebulizer treatment. The predictive accuracy of the tree-based model was approximately 66.7%, with an estimated 91.1% of high-severity cases and 42.3% of low-severity cases correctly predicted. Our analysis draws on the strengths of two complementary datasets to provide community-level information on children with asthma, and demonstrates the utility of recursive partitioning methods to explore a combination of features that convey asthma severity.

Polycyclic aromatic hydrocarbon exposure and wheeze in a cohort of children with asthma in Fresno, CA.

Polycyclic aromatic hydrocarbons (PAHs) are found widely in the ambient air and result from combustion of various fuels and industrial processes. PAHs have been associated with adverse human health effects such as cognitive development, childhood IQ, and respiratory health. The Fresno Asthmatic Children's Environment Study enrolled 315 children aged 6-11 years with asthma in Fresno, CA and followed the cohort from 2000 to 2008. Subjects were evaluated for asthma symptoms in up to three 14-day panels per year. Detailed ambient pollutant concentrations were collected from a central site and outdoor pollutants were measured at 83 homes for at least one 5-day period. Measurements of particle-bound PAHs were used with land-use regression models to estimate individual exposures to PAHs with 4-, 5-, or 6-member rings (PAH456) and phenanthrene for the cohort (approximately 22,000 individual daily estimates). We used a cross-validation-based algorithm for model fitting and a generalized estimated equation approach to account for repeated measures. Multiple lags and moving averages of PAH exposure were associated with increased wheeze for each of the three types of PAH exposure estimates. The odds ratios for asthmatics exposed to PAHs (ng/m(3)) ranged from 1.01 (95% CI, 1.00-1.02) to 1.10 (95% CI, 1.04-1.17). This trend for increased wheeze persisted among all PAHs measured. Phenanthrene was found to have a higher relative impact on wheeze. These data provide further evidence that PAHs contribute to asthma morbidity.

Crime, neighborhood deprivation, and asthma: a GIS approach to define and assess neighborhoods.

Exposure to neighborhood factors remains difficult to quantify when neighborhoods are often predefined and imprecisely measured. This study examines the association between neighborhood deprivation and participation in a community-based asthma case management (CM) program in Oakland, CA. We estimated neighborhoods by calculating walking distances of , and miles around each child's (n=2892) residence. The model assesses deprivation by the addition of weighted factors within a child's neighborhood-crime rates, alcohol outlets, and eight 2000 US Census characteristics. The results illustrate that neighborhood deprivation is weakly associated with greater levels of program participation, but neighborhood education level, measured by percentage of residents with less than a high school education, is strongly associated with greater program participation (OR: 4.43, 95% CI: [1.23, 15.99]). Neighborhood deprivation factors were significantly different between neighborhoods defined by walking distances and census blockgroups (Wilcoxon-signed rank test: p<0.05).