Assessing ascertainment bias in atrial fibrillation across US minority groups.

The aim of this study is to define atrial fibrillation (AF) prevalence and incidence rates across minority groups in the United States (US), to aid in diversity enrollment target setting for randomized controlled trials. In AF, US minority groups have lower clinically detected prevalence compared to the non-Hispanic or Latino White (NHW) population. We assess the impact of ascertainment bias on AF prevalence estimates. We analyzed data from adults in Optum's de-identified Clinformatics® Data Mart Database from 2017-2020 in a cohort study. Presence of AF at baseline was identified from inpatient and/or outpatient encounters claims using validated ICD-10-CM diagnosis algorithms. AF incidence and prevalence rates were determined both in the overall population, as well as in a population with a recent stroke event, where monitoring for AF is assumed. Differences in prevalence across cohorts were assessed to determine if ascertainment bias contributes to the variation in AF prevalence across US minority groups. The period prevalence was respectively 4.9%, 3.2%, 2.1% and 5.9% in the Black or African American, Asian, Hispanic or Latino, and NHW population. In patients with recent ischemic stroke, the proportion with AF was 32.2%, 24.3%, 25%, and 24.5%, respectively. The prevalence of AF among the stroke population was approximately 7 to 10 times higher than the prevalence among the overall population for the Asian and Hispanic or Latino population, compared to approximately 5 times higher for NHW patients. The relative AF prevalence difference of the Asian and Hispanic or Latino population with the NHW population narrowed from respectively, -46% and -65%, to -22% and -24%. The study findings align with previous observational studies, revealing lower incidence and prevalence rates of AF in US minority groups. Prevalence estimates of the adult population, when routine clinical practice is assumed, exhibit higher prevalence differences compared to settings in which monitoring for AF is assumed, particularly among Asian and Hispanic or Latino subgroups.

Enhancing site selection strategies in clinical trial recruitment using real-world data modeling.

Slow patient enrollment or failing to enroll the required number of patients is a disruptor of clinical trial timelines. To meet the planned trial recruitment, site selection strategies are used during clinical trial planning to identify research sites that are most likely to recruit a sufficiently high number of subjects within trial timelines. We developed a machine learning approach that outperforms baseline methods to rank research sites based on their expected recruitment in future studies. Indication level historical recruitment and real-world data are used in the machine learning approach to predict patient enrollment at site level. We define covariates based on published recruitment hypotheses and examine the effect of these covariates in predicting patient enrollment. We compare model performance of a linear and a non-linear machine learning model with common industry baselines that are constructed from historical recruitment data. Performance of the methodology is evaluated and reported for two disease indications, inflammatory bowel disease and multiple myeloma, both of which are actively being pursued in clinical development. We validate recruitment hypotheses by reviewing the covariates relationship with patient recruitment. For both indications, the non-linear model significantly outperforms the baselines and the linear model on the test set. In this paper, we present a machine learning approach to site selection that incorporates site-level recruitment and real-world patient data. The model ranks research sites by predicting the number of recruited patients and our results suggest that the model can improve site ranking compared to common industry baselines.

Durability of Protection Post-Primary COVID-19 Vaccination in the United States.

The durability of immune responses after COVID-19 vaccination will drive long-term vaccine effectiveness across settings and may differ by vaccine type. To determine durability of protection of COVID-19 vaccines (BNT162b2, mRNA-1273, and Ad26.COV2.S) following primary vaccination in the United States, a matched case-control study was conducted in three cohorts between 1 January and 7 September 2021 using de-identified data from a database covering 168 million lives. Odds ratios (ORs) for developing outcomes of interest (breakthrough SARS-CoV-2 infection, hospitalization, or intensive care unit admission) were determined for each vaccine (no direct comparisons). In total, 17,017,435 individuals were identified. Relative to the baseline, stable protection was observed for Ad26.COV2.S against infections (OR [95% confidence interval (CI)], 1.31 [1.18-1.47]) and hospitalizations (OR [95% CI], 1.25 [0.86-1.80]). Relative to the baseline, protection waned over time against infections for BNT162b2 (OR [95% CI], 2.20 [2.01-2.40]) and mRNA-1273 (OR [95% CI], 2.07 [1.87-2.29]) and against hospitalizations for BNT162b2 (OR [95% CI], 2.38 [1.79-3.17]). Baseline protection remained stable for intensive care unit admissions for all three vaccines. Calculated baseline VE was consistent with published literature. This study suggests that the three vaccines in three separate populations may have different durability profiles.

Impact of Immune Checkpoint Inhibitors on COVID-19 Severity in Patients with Cancer.

BACKGROUND: Amid continued uncertainty about the management of cancer patients during the pandemic, this study sought to obtain real-world data on the use of immune checkpoint inhibitors (ICIs) before COVID-19 diagnosis and its association with severity and survival outcomes in cancer patients who contracted COVID-19. METHODS: Cancer patients diagnosed with COVID-19 were identified from a large electronic health record database; those treated with ICIs before COVID-19+ diagnosis were matched in a 1:2 ratio to those not treated with ICIs, using a 2-step matching procedure. A descriptive analysis examined the difference in COVID-19 mortality (30-day and overall) and severity outcomes between the 2 cohorts, and overall survival was compared. RESULTS: Among 17 545 adults ≥18 years with cancer who tested positive for COVID-19 between February 20, 2020, and January 28, 2021, in the US, 228 ICI-treated patients were matched to 456 non-ICI-treated patients, comprising the 2 study cohorts. Clinical characteristics differed significantly between the 2 cohorts before matching, with metastatic disease, lung cancer, a history of smoking, and the presence of pulmonary comorbidities being more common in the ICI-treated cohort; after matching, the 2 cohorts were similar. There were no significant differences between the ICI-treated and non-ICI-treated cohorts for 30-day mortality (12.7% vs. 14.9%, P = .235), overall mortality (22.4% vs. 22.4%, P = 1.000), hospitalization (38.6% vs. 39.0%, P = .912), or emergency department visits (16.7% vs. 14.7%, P = .500). Overall survival was similar between the 2 cohorts. CONCLUSION: This analysis adds to the clinical evidence base that use of ICIs before SARS-CoV-2 infection does not affect COVID-19 severity or survival outcomes, supporting the continued use of ICIs in cancer patients during the pandemic.

Association of biological antirheumatic therapy with risk for type 2 diabetes: a retrospective cohort study in incident rheumatoid arthritis.

OBJECTIVE: To explore possible associations of treatment with biological disease-modifying antirheumatic drugs (bDMARDs), including T-cell-based and interleukin-6 inhibition (IL-6i)-based therapies, and the risk for type 2 diabetes mellitus (T2DM) in patients with rheumatoid arthritis (RA). STUDY DESIGN, SETTING AND PARTICIPANTS: Five treatment groups were selected from a United States Electronic Medical Records database of 283 756 patients with RA (mean follow-up, 5 years): never received bDMARD (No bDMARD, n=125 337), tumour necrosis factor inhibitors (TNFi, n=34 873), IL-6i (n=1884), T-cell inhibitors (n=5935) and IL-6i+T cell inhibitor abatacept (n=1213). Probability and risk for T2DM were estimated with adjustment for relevant confounders. RESULTS: In the cohort of 169 242 patients with a mean 4.5 years of follow-up and a mean 641 200 person years of follow-up, the adjusted probability of developing T2DM was significantly lower in the IL-6i (probability, 1%; 95% CI 0.6 to 2.0), T-cell inhibitor (probability, 3%; 95% CI 2.3 to 3.3) and IL-6i+T cell inhibitor (probability, 2%; 95% CI 0.1 to 2.9) groups than in the No bDMARD (probability, 5%; 95% CI 4.6 to 4.9) and TNFi (probability, 4%; 95% CI 3.7 to 4.7) groups. Compared with No bDMARD, the IL-6i and IL-6i+T cell inhibitor groups had 37% (95% CI of HR 0.42 to 0.96) and 34% (95% CI of HR 0.46 to 0.93) significantly lower risk for T2DM, respectively; there was no significant difference in risk in the TNFi (HR 0.99; 95% CI 0.93 to 1.06) and T-cell inhibitor (HR 0.96; 95% CI 0.82 to 1.12) groups. CONCLUSIONS: Treatment with IL-6i, with or without T-cell inhibitors, was associated with reduced risk for T2DM compared with TNFi or No bDMARDs; a less pronounced association was observed for the T-cell inhibitor abatacept.

Rituximab utilization for approved and off-label nononcology indications and patients' experiences with the Patient Alert Card.

This study used retrospective chart review and survey data to evaluate: (1) off-label use of rituximab (MabThera®/Rituxan®) in autoimmune conditions and (2) patients' receipt and knowledge of the Patient Alert Card (PAC), a risk minimization measure for progressive multifocal leukoencephalopathy (PML) and serious infections. Anonymized patient data were collected from infusion centers in Europe from December 2015 to July 2017. Adults receiving rituximab in the same centers were provided a self-administered survey. Outcomes included patterns of off-label rituximab use for nononcology indications, and evaluation of patients' receipt and knowledge of the PAC and its impact. Of 1012 patients in the retrospective chart review, 70.2% received rituximab for rheumatoid arthritis or granulomatosis with polyangiitis/microscopic polyangiitis, and 29.8% received rituximab off label. Among 524 survey participants, 32.8% reported receiving the PAC, 59.3% reported not receiving the PAC and 7.9% did not know whether they received the PAC. A total of 72.4% of patients reported that they were unaware that some patients receiving rituximab experience PML. A higher proportion of PAC recipients identified PML as a potential risk of rituximab than nonrecipients (37.8% vs 19.9%); 58.3% of PAC recipients had poor awareness of PML. Most PAC recipients (90.0%) and nonrecipients (85.5%) correctly answered that they should seek medical attention for infection symptoms. In conclusion, approximately 30% of patients received off-label rituximab. Most patients reported not receiving the PAC or having knowledge of PML but demonstrated understanding of the recommended action in the event of infection symptoms, regardless of PAC receipt.

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.

Risk of malignancy associated with use of tocilizumab versus other biologics in patients with rheumatoid arthritis: A multi-database cohort study.

OBJECTIVES: To examine the rate of incident malignancies excluding non-melanoma skin cancer (NMSC) in patients with rheumatoid arthritis (RA) newly treated with tocilizumab versus other biologic drugs. METHODS: We conducted a cohort study using data from 3 U.S. insurance claims databases - Medicare (2010-2015), 'IMS' PharMetrics Plus (2011-2015) and Truven 'MarketScan' (2011-2015). Adults with RA who newly started tocilizumab or a TNF inhibitor (TNFi) after failing a different TNFi, abatacept or tofacitinib were included. The primary outcome was development of any malignancies excluding NMSC. For confounding control, tocilizumab starters were propensity score (PS)-matched to TNFi starters with a variable ratio of 1:3 within each database. Hazard ratios (HR) from the 3 PS-matched cohorts were combined by an inverse variance-weighted, fixed-effects model. We conducted a secondary analysis where we compared tocilizumab initiators with abatacept initiators. RESULTS: We included 13,102 tocilizumab initiators PS-matched to 26,727 TNFi initiators in all three databases. The incidence rate of malignancies per 1,000 person-years ranged from 8.27 (IMS) to 23.18 (Medicare) in the tocilizumab group and from 9.64 (MarketScan) to 21.46 (Medicare) in the TNFi group. The risk of incident malignancies was similar between tocilizumab and TNFi initiators across all three databases, with a combined HR of 0.98 (95%CI 0.80-1.19) in tocilizumab versus TNFi. The secondary analysis comparing tocilizumab versus abatacept showed similar results (combined HR 0.97, 95%CI 0.74-1.27). CONCLUSIONS: This large multi-database cohort study found no difference in the risk of malignancies excluding NMSC in RA patients who newly started tocilizumab compared with TNFi or abatacept.

Adverse Events in Giant Cell Arteritis and Rheumatoid Arthritis Patient Populations: Analyses of Tocilizumab Clinical Trials and Claims Data.

INTRODUCTION: The safety profile of tocilizumab (TCZ) in patients with rheumatoid arthritis (RA) is well established. TCZ was approved to treat giant cell arteritis (GCA) in 2017 in the USA and Europe, and its safety profile in patients with GCA continues to be defined. The objective of this analysis was to examine incidence rates (IRs) of adverse events of special interest (AESI) occurring during the TCZ clinical development program and in healthcare claims data in patients with GCA or RA. METHODS: TCZ-naïve patients with GCA or RA were identified in the MarketScan administrative healthcare claims database. TCZ-treated patients with GCA from the GiACTA trial and TCZ-treated patients with RA from pooled clinical trial data were analyzed. The IRs of AESI (AESI IRs) were calculated for all cohorts. In the claims cohorts, risks of AESI were estimated using Poisson regression. RESULTS: TCZ-naïve claims cohorts comprised 4804 patients with GCA [mean (standard deviation) age 73.4 (9.8) years; follow-up 3.9 (3.1) years] and 15,164 patients with RA [age 60.3 (8.2) years; follow-up, 4.5 (2.8) years]. TCZ-treated clinical trial cohorts comprised 149 patients with GCA [age 69.5 (8.4) years; exposure approx. 138 patient-years (PY)] and 7647 with RA [age 52 (12.6) years; exposure approx. 22,394 PY]. The IRs of infections, stroke, malignancies, myocardial infarction, and gastrointestinal perforations in the GCA claims cohort exceeded those in the RA claims cohort; the risk of AESI (adjusted for age and glucocorticoid use) was higher in patients with GCA than in those with RA. Similar patterns to the claims cohorts in terms of the AESI IRs were observed in clinical trial cohorts, although the number of events was limited in the GCA trial cohort. CONCLUSION: Higher IRs of AESI were observed in patients with GCA versus those with RA in both TCZ-naïve and -treated cohorts. Differences in underlying disease, age, and glucocorticoid use may influence AESI incidence, irrespective of intervention. FUNDING: This study was funded by F. Hoffmann-La Roche Ltd and Genentech, Inc. Article processing charges were funded by F. Hoffmann-La Roche Ltd. Plain language summary is available for this article.

Risk of serious infections in tocilizumab versus other biologic drugs in patients with rheumatoid arthritis: a multidatabase cohort study.

OBJECTIVE: To investigate the rate of serious bacterial, viral or opportunistic infection in patients with rheumatoid arthritis (RA) starting tocilizumab (TCZ) versus tumour necrosis factor inhibitors (TNFi) or abatacept. METHODS: Using claims data from US Medicare from 2010 to 2015, and IMS and MarketScan from 2011 to 2015, we identified adults with RA who initiated TCZ or TNFi (primary comparator)/abatacept (secondary comparator) with prior use of ≥1 different biologic drug or tofacitinib. The primary outcome was hospitalised serious infection (SI), including bacterial, viral or opportunistic infection. To control for >70 confounders, TCZ initiators were propensity score (PS)-matched to TNFi or abatacept initiators. Database-specific HRs were combined by a meta-analysis. RESULTS: The primary cohort included 16 074 TCZ PS-matched to 33 109 TNFi initiators. The risk of composite SI was not different between TCZ and TNFi initiators (combined HR 1.05, 95% CI 0.95 to 1.16). However, TCZ was associated with an increased risk of serious bacterial infection (HR 1.19, 95% CI 1.07 to 1.33), skin and soft tissue infections (HR 2.38, 95% CI 1.47 to 3.86), and diverticulitis (HR 2.34, 95% CI 1.64 to 3.34) versus TNFi. An increased risk of composite SI, serious bacterial infection, diverticulitis, pneumonia/upper respiratory tract infection and septicaemia/bacteraemia was observed in TCZ versus abatacept users. CONCLUSIONS: This large multidatabase cohort study found no difference in composite SI risk in patients with RA initiating TCZ versus TNFi after failing ≥1 biologic drug or tofacitinib. However, the risk of serious bacterial infection, skin and soft tissue infections, and diverticulitis was higher in TCZ versus TNFi initiators. The risk of composite SI was higher in TCZ initiators versus abatacept.

Incidence and Risk of Glucocorticoid-Associated Adverse Effects in Patients With Rheumatoid Arthritis.

OBJECTIVE: Using the UK Clinical Practice Research Datalink, we examined the incidence of glucocorticoid (GC)-related serious adverse events (SAEs) in rheumatoid arthritis (RA) and non-RA patients and quantified the risk of SAEs in patients with RA. METHODS: We matched incident patients with RA to an age- and sex-matched, non-RA comparison group of equal size. In a cohort analysis, we estimated incidence rates (IRs) and IR ratios (IRRs) for GC-related AEs (i.e., diabetes mellitus [DM], osteoporosis, fractures, glaucoma, hypertension, gastrointestinal [GI] perforation or bleeding, thrombotic stroke or myocardial infarction [MI], or death), stratified by GC use. We conducted a series of nested case-control analyses among patients with RA, evaluating the effects of increasing cumulative and average daily GC dose. Cases of each outcome were matched to controls for age, sex, and general practice. We calculated adjusted odds ratios (ORs) with 95% confidence intervals (95% CIs) for each outcome. RESULTS: Patients with RA had a higher incidence for all investigated SAEs except glaucoma, compared to non-RA patients. IRRs were greater in those patients prescribed a GC than in those without. In patients with RA, GCs were associated with an elevated risk of DM (adjusted OR 1.33 [95% CI 1.14-1.56]), osteoporosis (adjusted OR 1.41 [95% CI 1.25-1.59]), thrombotic stroke or MI (adjusted OR 1.28 [95% CI 1.07-1.52]), serious infection (adjusted OR 1.28 [95% CI 1.11-1.48]), and death (adjusted OR 1.33 [95% CI 1.19-1.48]). There was a trend of increasing risk with increasing cumulative and average daily GC dose for all outcomes other than glaucoma, hypertension, and GI perforations or bleeding (P < 0.05). CONCLUSION: Patients with RA had an increased incidence of GC-related AEs. Increasing cumulative and average daily GC doses were found to be associated with an increasing risk of developing an AE.

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.

Risk Associated with Cumulative Oral Glucocorticoid Use in Patients with Giant Cell Arteritis in Real-World Databases from the USA and UK.

INTRODUCTION: Treatment of giant cell arteritis (GCA) involves immediate initiation of high-dose glucocorticoid therapy with slow tapering of the dose over many months. Chronic exposure to glucocorticoids is associated with serious comorbidities. The objective of this analysis was to determine the glucocorticoid exposure and risk of glucocorticoid-related adverse events (AEs) in real-world patients with GCA. METHODS: Data from the Truven Healthcare MarketScan® database (from January 1, 2000, to June 30, 2015) and the Clinical Practice Research Datalink (CPRD; from January 1, 1995, to August 31, 2013) were used to retrospectively analyze patients aged ≥ 50 years with GCA in the USA and UK, respectively. Outcomes included oral glucocorticoid use (cumulative prednisone-equivalent exposure), glucocorticoid-related AEs and the association of AE risk with glucocorticoid exposure over 52 weeks. RESULTS: Of the 4804 patients in the US MarketScan database and 3973 patients in the UK CPRD database included, 71.3 and 74.6% were women and mean age was 73.4 and 73.0 years, respectively. Median starting glucocorticoid dose and cumulative glucocorticoid dose at 52 weeks were 20-50 mg/day and 4000-4800 mg, respectively. The most frequent glucocorticoid-related AEs were hypertension and eye, bone health, and glucose tolerance conditions. In the first year after diagnosis, the likelihood of any glucocorticoid-related AE was significantly increased for each 1 g increase in cumulative glucocorticoid dose in the US and UK cohorts (odds ratio [95% CI], 1.170 [1.063, 1.287] and 1.06 [1.03, 1.09], respectively; P < 0.05 for both). Similar trends were observed for the risk of glucocorticoid-related AEs over full follow-up (mean, USA: 3.9 years, UK: 6.3 years). CONCLUSIONS: In real-world patients with GCA, increased cumulative glucocorticoid exposure was associated with an increased risk of glucocorticoid-related AEs. FUNDING: F. Hoffmann-La Roche Ltd. Plain language summary available for this article.

No difference in cardiovascular risk of tocilizumab versus abatacept for rheumatoid arthritis: A multi-database cohort study.

OBJECTIVES: While tocilizumab may increase serum lipid levels, recent studies do not suggest a link between tocilizumab use and clinical cardiovascular risk in patients with rheumatoid arthritis (RA). METHODS: To compare cardiovascular safety of tocilizumab with abatacept, we conducted a cohort study using data from Medicare (2010-2013), IMS PharMetrics (2011-2014) and MarketScan (2011-6/2015). RA patients aged ≥18 years who newly started tocilizumab or abatacept entered the cohort on the day of their first use of tocilizumab or abatacept after a continuous enrollment period for ≥365 days. The primary outcome was a composite cardiovascular endpoint of hospitalization for myocardial infarction or stroke. To control for more than 60 confounders, tocilizumab starters were propensity score (PS)-matched to abatacept starters with a variable ratio of 1:3 within each database. A fixed-effects model combined database-specific hazard ratios (HR). RESULTS: We included 6237 tocilizumab starters PS-matched to 14,685 abatacept starters in all three databases. Mean age was 72 years in Medicare, 51 in PharMetrics and 53 in MarketScan. The incidence rate of the composite cardiovascular events per 100 person-years ranged from 0.37 (PharMetrics) to 1.64 (Medicare) in the tocilizumab group and from 0.59 (PharMetrics) to 1.69 (Medicare) in the abatacept group. The risk of the composite cardiovascular events was similar between the two groups across all three databases, with a combined HR of 0.82 (95% CI: 0.55-1.22) in tocilizumab versus abatacept starters. CONCLUSIONS: This multi-database cohort study found no difference in the risk of cardiovascular events in RA patients who newly started tocilizumab versus abatacept.

Association Between Glucocorticoid Exposure and Healthcare Expenditures for Potential Glucocorticoid-related Adverse Events in Patients with Rheumatoid Arthritis.

OBJECTIVE: Oral glucocorticoid (OGC) use for rheumatoid arthritis (RA) is debated because of the adverse event (AE) profile of OGC. We evaluated the associations between cumulative doses of OGC and potential OGC-related AE, and quantified the associated healthcare expenditures. METHODS: Using the MarketScan databases, patients ≥ 18 years old who have RA with continuous enrollment from January 1 to December 31, 2012 (baseline), and from January 1 to December 31, 2013 (evaluation period), were identified. Cumulative OGC dose was measured using prescription claims during the baseline period. Potential OGC-related AE (osteoporosis, fracture, aseptic necrosis of the bone, type 2 diabetes, ulcer/gastrointestinal bleeding, cataract, hospitalization for opportunistic infection, myocardial infarction, or stroke) and AE-related expenditures (2013 US$) were gathered during the evaluation period. Multivariable regression models were fitted to estimate OR of AE and incremental costs for patients with AE. RESULTS: There were 84,357 patients analyzed, of whom 48% used OGC during the baseline period and 26% had an AE during the evaluation period. A cumulative OGC dose > 1800 mg was associated with an increased risk of any AE compared with no OGC exposure (OR 1.19, 99.65% CI 1.09-1.30). Incremental costs per patient with any AE were significantly greater for cumulative OGC dose > 1800 mg compared with no OGC exposure (incremental cost = $3528, 99.65% CI $2402-$4793). CONCLUSION: Chronic exposure to low to medium doses of OGC was associated with significantly increased risk of potential OGC-related AE in patients with RA, and greater cumulative OGC dose was associated with substantially higher AE-related healthcare expenditures among patients with AE.

Effectiveness of biologic and non-biologic antirheumatic drugs on anaemia markers in 153,788 patients with rheumatoid arthritis: New evidence from real-world data.

BACKGROUND: To evaluate the impact of treatment with disease-modifying antirheumatic drugs (DMARDs), including IL-6 receptor inhibitor tocilizumab (TCZ), on anaemia markers in patients with rheumatoid arthritis. METHODS: Using the Centricity Electronic Medical Records from USA, patients with rheumatoid arthritis diagnosed between January 2000 and April 2016, who initiated TCZ (n = 3732); tofacitinib (TOFA, n = 3126); other biologic DMARD (obDMARD, n = 55,964); or other non-biologic DMARD (onbDMARD, n = 91,236) were identified. Changes in haemoglobin (Hb) and haematocrit (Hct) over 2 years of treatment initiation were evaluated, adjusting and balancing for confounders. RESULTS: Mean (95% CI) adjusted increase in Hb and Hct levels at 24 months in TCZ group were 0.23g/dL (0.14, 0.42) and 0.96% (0.41, 1.52) respectively. Among patients with anaemia in the TCZ group, Hb and Hct increased significantly by 0.72g/dL and 2.06%, respectively. Patients in the TCZ group were 86% (95% CI of OR: 1.43, 2.00) more likely to increase Hb ≥ 1g/dL compared to the other groups combined. No clinically significant changes in Hb were observed in the other groups. The obDMARD group demonstrated lower Hct increase than TCZ group, while no significant changes were observed in the remaining groups. Compared to those who initiated TCZ therapy after 1 year of diagnosis of rheumatoid arthritis, those who initiated earlier were 95% (OR = 1.95; 95% CI: 1.19, 3.21; p < 0.001) more likely to increase Hb within 6 months. CONCLUSIONS: This real-world study suggests significant increase in Hb and Hct levels after TCZ therapy in anaemic and non-anaemic patients with rheumatoid arthritis, compared with other biologic and non-biologic DMARDs.

Cardiovascular Safety of Tocilizumab Versus Tumor Necrosis Factor Inhibitors in Patients With Rheumatoid Arthritis: A Multi-Database Cohort Study.

OBJECTIVE: While tocilizumab (TCZ) is known to increase low-density lipoprotein (LDL) cholesterol levels, it is unclear whether TCZ increases cardiovascular risk in patients with rheumatoid arthritis (RA). This study was undertaken to compare the cardiovascular risk associated with receiving TCZ versus tumor necrosis factor inhibitors (TNFi). METHODS: To examine comparative cardiovascular safety, we conducted a cohort study of RA patients who newly started TCZ or TNFi using claims data from Medicare, IMS PharMetrics, and MarketScan. All patients were required to have previously used a different TNFi, abatacept, or tofacitinib. The primary outcome measure was a composite cardiovascular end point of hospitalization for myocardial infarction or stroke. TCZ initiators were propensity score matched to TNFi initiators with a variable ratio of 1:3 within each database, controlling for >65 baseline characteristics. A fixed-effects model combined database-specific hazard ratios (HRs). RESULTS: We included 9,218 TCZ initiators propensity score matched to 18,810 TNFi initiators across all 3 databases. The mean age was 72 years in Medicare, 51 in PharMetrics, and 53 in MarketScan. Cardiovascular disease was present at baseline in 14.3% of TCZ initiators and 13.5% of TNFi initiators. During the study period (mean ± SD 0.9 ± 0.7 years; maximum 4.5 years), 125 composite cardiovascular events occurred, resulting in an incidence rate of 0.52 per 100 person-years for TCZ initiators and 0.59 per 100 person-years for TNFi initiators. The risk of cardiovascular events associated with TCZ use versus TNFi use was similar across all 3 databases, with a combined HR of 0.84 (95% confidence interval 0.56-1.26). CONCLUSION: This multi-database population-based cohort study showed no evidence of an increased cardiovascular risk among RA patients who switched from a different biologic drug or tofacitinib to TCZ versus to a TNFi.

Serious adverse effects associated with glucocorticoid therapy in patients with giant cell arteritis (GCA): A nested case-control analysis.

OBJECTIVE: Giant cell arteritis (GCA) is an inflammatory vasculitis preferentially affecting large and medium-sized arteries. High-dose oral glucocorticoids (GCs) are the mainstay of GCA therapy. Using data from the UK Clinical Practice Research Datalink (CPRD), we examined the risk of oral GC-related serious adverse events (SAEs) in a UK population of patients with giant cell arteritis (GCA). METHODS: We conducted a series of nested case-control analyses in GCA patients to examine the effect of increasing dose of prednisolone on the risk of developing diabetes, glaucoma, osteoporosis, fractures, serious infection requiring hospitalization, and death. We used conditional logistic regression to calculate the unadjusted and multivariate odds ratios (ORs) with 95% CIs for the associations between prednisolone use and the risks of all outcomes of interest. We stratified the analyses by increasing cumulative prednisolone use and average daily dose. RESULTS: In the multivariate analyses, we observed a trend of increasing risk of diabetes and osteoporosis with increasing cumulative dose of oral prednisolone (ptrend < 0.05). GCA patients in the highest daily dose category (30mg/d) had an increased risk of diabetes (adjusted OR, 95% CI) (4.7, 2.8-7.8), osteoporosis (1.9, 1.2-2.9), fractures (2.6, 1.6-4.3), glaucoma (3.5, 2.0-6.1), serious infection (3.3, 2.2-5.2), and death (2.1, 1.3-3.5) compared to those with lower average daily prednisolone doses (5mg/d). CONCLUSION: Compared to lower average daily prednisolone doses, high average daily doses were associated with an increased risk of serious adverse effects.

Incidence of outcomes potentially associated with corticosteroid therapy in patients with giant cell arteritis.

OBJECTIVE: Giant cell arteritis (GCA) is an inflammatory disorder of blood vessels that preferentially affects large- and medium-sized arteries. High-dose oral corticosteroids (CS) are the mainstay of GCA therapy. Using data from the UK Clinical Practice Research Datalink, we quantified and compared the incidence of selected potentially CS-associated adverse outcomes in patients with and without GCA. METHODS: We conducted a retrospective follow-up study of GCA and non-GCA patients to examine the incidence of adverse outcomes attributable to CS use. Eligibility criteria for the GCA group included a first-time diagnosis of GCA at age 50 years or older with receipt of ≥1 prescription(s) for prednisolone. GCA patients were matched to a GCA-free comparison group of equal size on age, sex, general practice, and calendar time. We estimated incidence rates and incidence rate ratios (IRRs) for diabetes, osteoporosis, glaucoma, fractures, serious infection requiring hospitalization, and death for GCA and non-GCA patients and compared all-cause hospitalizations between the two groups. RESULTS: The cohort consisted of 5011 GCA and 5011 matched non-GCA patients. Approximately 74% were women, and mean age at GCA diagnosis was 72.9 years. The IR for all outcomes was greater in the GCA group than the non-GCA group. IRRs [95% confidence intervals (CIs)] were as follows: diabetes 1.4 (1.2-1.7), osteoporosis 2.4 (2.1-2.8), fractures 1.4 (1.2-1.6), glaucoma 2.0 (1.6-2.5), serious infection requiring hospitalization 1.5 (1.3-1.7), and death 1.2 (1.0-1.3). CONCLUSION: Compared with age- and sex-matched non-GCA patients, patients with GCA were at increased risk for diabetes, osteoporosis, fracture, and glaucoma and at a marginally increased risk for death.

Incidence of Gastrointestinal Perforations in Patients with Rheumatoid Arthritis Treated with Tocilizumab from Clinical Trial, Postmarketing, and Real-World Data Sources.

INTRODUCTION: The aim of this study was to use multiple data sources to update information on gastrointestinal perforations (GIPs) during tocilizumab (TCZ) treatment in patients with rheumatoid arthritis (RA). METHODS: Reporting rates of GIP events were estimated from three distinct patient data sets: a TCZ-IV RA clinical trial all-exposure population, a global TCZ postmarketing safety database population, and a US healthcare claims database population of patients with RA, including patients who received TCZ, anti-tumor necrosis factor (aTNF) agents, or abatacept. RESULTS: The clinical trial, global postmarketing, and healthcare claims populations provided 17,906, 382,621, and 3268 patient-years (PYs) of TCZ exposure, respectively. GIP incidence rates [95% confidence interval (CI)] were 1.9 (1.3-2.7), 1.2 (1.1-1.3), and 1.8 (0.7-4.0; specific definition) to 2.8 (1.3-5.2; sensitive definition) per 1000 PYs for the clinical trial, postmarketing, and healthcare claims populations, respectively. The GIP incidence rate (95% CI) for the comparator aTNF healthcare claims population ranged from 0.6 (0.3-1.2) to 0.9 (0.5-1.5) per 1000 PYs, for an absolute rate difference between TCZ and aTNFs of 1.2 (-0.3 to 2.5) to 1.9 (0.0-3.7) per 1000 PYs, corresponding to a number needed to harm between 533 and 828. CONCLUSION: The TCZ GIP event rates from multiple data sources were consistent with previously reported rates, did not increase over time, and were significantly associated with the number of prior biologics. Comparison of GIP incidence rates among patients with prior biologic exposure suggests that, for every 1000 patients treated with TCZ per year, an additional 1-2 GIP events might occur compared with patients treated with aTNFs. FUNDING: Roche.