Pneumologie 2018; 72(S 01): S14-S15
DOI: 10.1055/s-0037-1619155
Sektion 7 – Klinische Pneumologie
Posterbegehung – Titel: Asthma I
Georg Thieme Verlag KG Stuttgart · New York

Longitudinal Modeling of Prebronchodilator FEV1 Response to Benralizumab for Patients with Severe Asthma

L Roskos
1   Medimmune LLC, Mountain View, CA, USA
,
B Wang
1   Medimmune LLC, Mountain View, CA, USA
,
L Yan
1   Medimmune LLC, Mountain View, CA, USA
,
B Yu
1   Medimmune LLC, Mountain View, CA, USA
,
P Barker
2   Astrazeneca, Gaithersburg, MD, USA
,
M Goldman
2   Astrazeneca, Gaithersburg, MD, USA
› Author Affiliations
Further Information

Publication History

Publication Date:
21 February 2018 (online)

 

Introduction:

Benralizumab is an anti-eosinophil monoclonal antibody. In the randomized, controlled Phase III SIROCCO (Lancet. 2016;388:2115 – 27) and CALIMA (Lancet. 2016;388:2128 – 41) trials, benralizumab 30 mg every 4 weeks (Q4W) and 30 mg every 8 weeks (Q8W; first three doses Q4W) significantly increased FEV1 for patients with severe asthma receiving inhaled corticosteroids/high-dosage long-acting β2-agonists (ICS/LABA) with baseline blood eosinophils ≥300 cells/µL. We aimed to characterize change of prebronchodilator FEV1 from baseline in placebo- and benralizumab-treated patients with severe asthma receiving high-dosage ICS/LABA by using population modeling.

Methods:

Pooled FEV1 data (N = 2,244) were modeled sequentially to characterize effects of placebo and benralizumab. A likelihood ratio test evaluated effects of demographic and disease covariates on FEV1 changes from baseline.

Results:

Height and age were identified as covariates for baseline FEV1 and placebo effect. Benralizumab was associated with more rapid improvement of FEV1 (estimated half-maximum time: 7.6 d) than placebo (estimated half-life: 18 d). Estimated typical placebo and benralizumab treatment effects were 184 mL and 96 mL, respectively. Benralizumab efficacy was greater in patients with greater baseline eosinophil counts, with a trend toward improved efficacy in patients with more exacerbations in the past year. Benralizumab dosages, steady-state exposure, anti-drug antibody (ADA), body weight, and concomitant medications did not significantly affect efficacy.

Conclusions:

The efficacy plateau for prebronchodilator FEV1 was reached with benralizumab Q8W. This regimen minimized the impact of pharmacokinetic variability associated with ADA or heavy body weight on efficacy.