- 1. Comparative safety of infliximab and etanercept on the risk
of serious infectionDoes the association vary by
patientcharacteristics?Darren Toh, ScDLingling Li, PhDLeslie R.
Harrold, MD, MPHElizabeth A. Bayliss, MD, MSPHJeffrey R. Curtis,
MD, MS, MPHLiyan Liu, MSLang Chen, PhDCarlos G. Grijalva, MD,
MPHLisa J. Herrinton, PhD
2. Background Infliximab, a chimeric monoclonal anti-TNF
antibody,has been found to increase the risk of seriousinfections
compared to etanercept (a TNF receptorfusion protein) It is unclear
whether the risk varies by patientcharacteristics 2 3. Objective To
assess if the relative risk of serious infectionscomparing
infliximab and etanercept varies by fivepatient characteristics
(age, sex, race/ethnicity, andbody mass index, smoking status) 3 4.
Study cohort 4 5. Exposure Infliximab: Administered through
infusion; eachinfusion covers 56 days Etanercept: Self-administered
via injection; eachinjection covers 7 days and each
dispensingcontaining 4 injections5 6. Outcome Serious infections,
defined as infections requiring hospitalization or opportunistic
infections Used previously validated algorithms to identify serious
infection cases (PPV of 80%)Grijalva et al, JAMA 2011;306:
2331-2339 6 7. Potential confounders & effect modifiers Age;
sex; race/ethnicity; body mass index; smoking status Type of
insurance; proportion of household below the povertyline in the
census block in which the patient lived Charlson comorbidity score;
diagnosis of rheumatoid arthritis,psoriatic arthritis, psoriasis,
ankylosing spondylitis, diabetes, orCOPD Use of methotrexate,
hydroxychloroquine, leflunomide,sulfasalazine, NSAIDs, opioids,
corticosteroids, or antibiotics Number of inpatient visits,
outpatient visits, and uniquemedications dispensed 7 8. Statistical
analysis Calculated the incidence rate and 95% CI Propensity score
stratified (by quintiles) Cox model toadjust for potential
confounders HRs and 95% CIs comparing infliximab vs. etanercept An
intention-to-treat analysis Follow-up started from treatment
initiation to the earliest occurrence of the outcome, death,
disenrollment, 12/31/2007, or 365 days after treatment initiation
0-3, 0-6, and 0-12 months after treatment initiation 8 9.
Statistical analysis (cont) Stratified the analysis by Age: