Choosing the Right Biologic for the Right Patient With Severe Asthma.

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Tác giả: Simon Couillard, David J Jackson, Ian D Pavord, Michael E Wechsler

Ngôn ngữ: eng

Ký hiệu phân loại:

Thông tin xuất bản: United States : Chest , 2025

Mô tả vật lý:

Bộ sưu tập: NCBI

ID: 729103

 In this installment of the How I Do It series on severe asthma, we tackle the clinical conundrum of choosing the right biologic for the right patient with severe asthma. With six biologics now approved for use in this area comprising four different targeting strategies (anti-Ig E: omalizumab
  anti-IL-5 and anti-IL-5-receptor: mepolizumab, reslizumab, and benralizumab
  anti-IL-4-receptor: dupilumab
  anti-thymic stromal lymphopoietin: tezepelumab), this question is increasingly complex. Recognizing that no head-to-head trial has compared biologics, we based our review on the expected effects of inhibiting different aspects of type 2 airway inflammation, supported whenever possible by clinical trial and real-world data. We use four variations of a case of severe uncontrolled asthma to develop concepts and considerations introduced in the previous installment ("Workup of Severe Asthma") and discuss pregnancy-related, biomarker-related, comorbidity-related, and corticosteroid dependency-related considerations when choosing a biologic. The related questions of deciding when, why, and how to switch from one biologic to another also are discussed. Overall, we consider that the choice of biologics should be based on the available clinical trial data for the desired efficacy outcomes, the biomarker profile of the patient, safety profiles (eg, when pregnancy is considered), and opportunities to target two comorbidities with one biologic. Using systemic and airway biomarkers (blood eosinophils and exhaled nitric oxide [Feno]) and other phenotypic characteristics, we suggest a framework to facilitate therapeutic decision-making. Post hoc studies and new comparative studies are needed urgently to test this framework and to determine whether it allows us to make other clinically useful predictions.
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