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1.
Respir Med ; : 107611, 2024 Apr 01.
Artigo em Inglês | MEDLINE | ID: mdl-38570145

RESUMO

BACKGROUND: Benralizumab is indicated as add-on therapy in patients with uncontrolled, severe eosinophilic asthma; it has not yet been evaluated in a large Asian population with asthma in a clinical trial. OBJECTIVE: To evaluate the efficacy and safety of benralizumab in patients with severe asthma in Asia. METHODS: MIRACLE (NCT03186209) was a randomized, Phase 3 study in China, South Korea, and the Philippines. Patients aged 12-75 years with severe asthma receiving medium-to-high-dose inhaled corticosteroid/long-acting ß2-agonists, stratified (2:1) by baseline blood eosinophil count (bEOS) (≥300/µL; <300/µL), were randomized (1:1) to benralizumab 30 mg or placebo. Endpoints included annual asthma exacerbation rate (AAER; primary endpoint), change from baseline at Week 48 in pre-bronchodilator (BD) forced expiratory volume in 1 second (pre-BD FEV1) and total asthma symptom score (TASS). Safety was evaluated ≤ Week 56. RESULTS: Of 695 patients randomized, 473 had baseline bEOS ≥300/µL (benralizumab n = 236; placebo n = 237). In this population, benralizumab significantly reduced AAER by 74% (rate ratio 0.26 [95% CI 0.19, 0.36], p < 0.0001) and significantly improved pre-BD FEV1 (least squares difference [LSD] 0.25 L [95% CI 0.17, 0.34], p < 0.0001) and TASS (LSD -0.25 [-0.45, -0.05], p = 0.0126) versus placebo. In patients with baseline bEOS <300/µL, there were numerical improvements in AAER, pre-BD FEV1, and TASS with benralizumab versus placebo. The frequency of adverse events was similar for benralizumab (76%) and placebo (80%) in the overall population. CONCLUSIONS: MIRACLE data reinforces the efficacy and safety of benralizumab for severe eosinophilic asthma in an Asian population, consistent with the global Phase 3 results.

2.
Artigo em Chinês | WPRIM | ID: wpr-910800

RESUMO

Hypoxia is a common phenomenon of solid tumor, which is closely related to the malignant proliferation, tumor progression, radiotherapy and chemotherapy resistance, treatment failure, and poor prognosis. At present, many researches focus on the application of medical imaging and nuclear medicine methods in detecting the hypoxic areas of tumors. This article focuses on the detection of hypoxia microenvironment and the application of PET tracers in tumor hypoxia imaging.

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