Study type

Study type

Non-interventional study

Scope of the study

Assessment of risk minimisation measure implementation or effectiveness
Non-interventional study

Non-interventional study design

Cohort
Study drug and medical condition

Name of medicine

OLUMIANT

Medical condition to be studied

Rheumatoid arthritis
Population studied

Age groups

Adults (18 to < 46 years)
Adults (46 to < 65 years)
Adults (65 to < 75 years)
Adults (75 to < 85 years)
Adults (85 years and over)

Estimated number of subjects

12000
Study design details

Main study objective

The goal of this study is to monitor the incidence and nature of key aggregate serious and opportunistic infections, MACE, malignancies and VTE amongst patients with long-term exposure to baricitinib compared to patients treated long-term with bDMARDs or cDMARDs and to describe the incidence of key individual outcomes.

Outcomes

The primary outcomes are: 1. the following aggregate outcomes to be evaluated in comparative analyses: serious infections and opportunistic infections, MACE, malignancies, and VTE, 2. the following descriptive outcomes: lymphoma, herpes zoster, opportunistic infections, rhabdomyolysis, myelosuppression (agranulocytosis), hyperlipidemia, GI perforations, and evidence of liver injury. To describe the incidence of the above outcomes in very elderly patients (aged ≥75 years).

Data analysis plan

Risk of each aggregate primary outcome will be compared between patients with rheumatoid arthritis (RA) treated with baricitinib and similar patients treated with (a) bDMARDs and (b)cDMARDs. Hazard ratios will be calculated based on Cox proportional hazard regression as a measure of the association between baricitinib and each comparative outcome. Propensity scores will be used to match patients between cohorts. Sensitivity analyses will examine the effect of duration of baricitinib exposure and different latency periods on risk of malignancy. The impact of unmeasured confounding will also be evaluated. Sensitivity analyses will also investigate recurrent events such as infections using generalised estimating equation negative binomial regression models with a log link. Overall incidence rates and rates over time will be calculated separately for comparative, aggregate outcomes (primary outcomes #1 above) and less common outcomes (primary outcomes #2).
Documents
Study results
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