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| Name | Class |
|---|---|
| AstraZeneca | INDUSTRY |
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The purpose of this study is to evaluate the effect of a drug called benralizumab in individuals with severe, poorly controlled asthma with eosinophilic airway inflammation. Eosinophils are a type of white blood cell that help fight off infections. Some people with asthma have too many eosinophils in their airways and blood, which can cause airway inflammation. Benralizumab is a new drug that is Health Canada approved and has been shown to rapidly eliminate eosinophils. It has been used in patients with severe asthma to improve lung function and reduce flair-ups, also known as exacerbations. Magnetic Resonance Imaging (MRI) is an imaging tool that can look at the structure of the lungs when a subject inhales a xenon gas mixture. In healthy individuals, the gas fills the lungs evenly, but in individuals with lung disease, some of the areas of the lungs are not filled by the gas and the image looks patchy. These patchy areas are called ventilation defects and they contribute to reduced lung function. The goal of the study is to see if treatment with benralizumab will improve these ventilation defects, overall lung function and blood and sputum eosinophil levels. Subjects will receive treatment with benralizumab a total of 3 times, 4 weeks apart. Before and after treatment, subjects will undergo a series of MRI tests, breathing tests, blood and sputum analysis and a series of questionnaires to evaluate daily quality of life. The hypothesis is that ventilation defects will significantly improve after benralizumab treatment, and that this improvement will be different based on how long the patient has had asthma.
This is an open-label, single arm, pilot study in patients with severe, poorly-controlled eosinophilic asthma to quantify hyperpolarized 129-Xenon MRI ventilation defect percent (VDP) before and after benralizumab therapy administered every 4 weeks for the first three injections (subcutaneous injection). Male and female patients between 18 and 70 years of age will be screened (Enrolment, Visit 1) and those that satisfy all inclusion and exclusion criteria will undergo five additional two-hour study visits (Visit 2=Day 0/baseline, Visit 3=Day 14±2 days and Visit 4=Day 28±2 days, Visit 5=Day 56±2 days, Visit 6=112±2 days) which will involve spirometry, plethysmography for airways resistance (Raw) and lung volumes, forced oscillation technique (FOT), multiple breath nitrogen washout (MBNW) for the lung clearance index (LCI) and 129-Xenon MRI pre- and post-bronchodilator, with the exception of Visit 5, which will not include MRIs. At all visits fractional exhaled nitric oxide (FeNO) will be measured pre-bronchodilator. The Asthma Control Questionnaire (ACQ-6), the Asthma Quality of Life Questionnaire (AQLQ) and the St. George's Respiratory Questionnaire (SQRQ) will be completed at all visits except Visit 3. Sputum induction will be performed on Visits 2 and 4 to measure sputum eosinophils, and blood samples will be performed on Visits 1 and 4 to measure blood eosinophils. Participants that satisfy all inclusion and exclusion criteria will complete a total of six study visits. Upon study enrolment, all participants will be allocated to a benralizumab treatment arm (30 mg injection after completion of study assessments on Visit 2/Day 0, Visit 4/Day 28 and Visit 5/Day 56). After Visit 6/Day 112, all participants will be offered participation in the AstraZeneca Patient Support Program to receive benralizumab therapy on Day 112 and every 8 weeks thereafter.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Treatment | Experimental | Benralizumab 30mg subcutaneous injection on study days 0, 28 and 56 and 1.0 L 129-Xenon/4-Helium mixture, twice per visit, on days 0, 14, 28 and 112. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Benralizumab | Drug | Benralizumab is an interleukin-5 receptor alpha-directed cytolytic monoclonal antibody |
|
| Measure | Description | Time Frame |
|---|---|---|
| Change from baseline airway function measured using 129-Xenon MRI ventilation defect percent | Changes in VDP | Day 0 and 28 |
| Measure | Description | Time Frame |
|---|---|---|
| Change from baseline airway function measured using 129-Xenon MRI ventilation defect percent | Changes in VDP | Day 0, 14 and 112 |
| Change from baseline blood eosinophils | Day 0, 14 and 112 |
| Measure | Description | Time Frame |
|---|---|---|
| Explore univariate correlation and linear regression of MRI ventilation defect percent and asthma control as measured by the Asthma Control Questionnaire | The relationship between ventilation defect percent and asthma control, as measured by the Asthma Control Questionnaire (ACQ-6) will be assessed using a univariate correlation analysis and linear regression. The ACQ-6 is scored from 0 to 6, with higher scores indicating more uncontrolled asthma. |
Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Grace E Parraga, PhD | Robarts Research Institute, The University of Western Ontario | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Robarts Research Institute; The University of Western Ontario; London Health Sciences Centre | London | Ontario | N6A 5B7 | Canada |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 36781102 | Derived | McIntosh MJ, Kooner HK, Eddy RL, Wilson A, Serajeddini H, Bhalla A, Licskai C, Mackenzie CA, Yamashita C, Parraga G. CT Mucus Score and 129Xe MRI Ventilation Defects After 2.5 Years' Anti-IL-5Ralpha in Eosinophilic Asthma. Chest. 2023 Jul;164(1):27-38. doi: 10.1016/j.chest.2023.02.009. Epub 2023 Feb 11. | |
| 35283104 | Derived |
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| ID | Term |
|---|---|
| D011657 | Pulmonary Eosinophilia |
| ID | Term |
|---|---|
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
| D017681 | Hypereosinophilic Syndrome |
| D004802 | Eosinophilia |
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| ID | Term |
|---|---|
| C571386 | benralizumab |
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Open-label, single arm
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| 129 Xenon | Drug | 1.0 L of 129-Xenon/4-Helium mixture to acquire MRI images |
|
|
| Change from baseline forced expiration volume in one second | Indicator of pulmonary function | Day 0, 14, 28 and 112 |
| Change from baseline forced vital capacity | Indicator of pulmonary function | Day 0, 14, 28 and 112 |
| Change from baseline lung volumes | Indicator of pulmonary function | Day 0, 14, 28 and 112 |
| Change from baseline airways resistance | Indicator of pulmonary function and inflammation | Day 0, 14, 28 and 112 |
| Change from baseline forced oscillation technique | Indicator of pulmonary function and inflammation | Day 0, 14, 28 and 112 |
| Change from baseline lung clearance index | Indicator of pulmonary function | Day 0, 14, 28 and 112 |
| Change from baseline fraction exhaled nitric oxide | Indicator of pulmonary function and inflammation | Day 0, 14, 28 and 112 |
| Change from baseline in asthma control | Asthma Control Questionnaire (ACQ-6) is used to evaluate asthma control. The ACQ-6 is scored from 0 to 6, with higher scores indicating more severely uncontrolled asthma. | Day 0, 28, 56 and 112 |
| Change from baseline in asthma-related quality of life | Asthma Quality of Life Questionnaire with Standardised Activities (AQLQ(S)) evaluates asthma-related quality of life. The AQLQ(S) is scored from 1-7, with lower scores indicating more severe impairment. | Day 0, 28, 56 and 112 |
| Change from baseline in daily life and perceived well-being | St. George's Respiratory Questionnaire (SGRQ) evaluates daily life and perceived well-being in relation to asthma and respiratory conditions. The SGRQ is scored from 0-100 with higher scores indicating more limitations. | Day 0, 28, 56 and 112 |
| Change from baseline in Clinician Global Impressions of Change | The Clinical Global Impressions of Change is an indicator of improvement or decline in clinical status from the perspective of the clinician. It is a scale from 1-7, with lower scores indicating more improvement in clinical status. | Day 0 and 112 |
| Change from baseline in Patient Global Impressions of Change | The Patient Global Impressions of Change is an indicator of improvement or decline in clinical status from the perspective of the patient. It is a scale from 1-7, with lower scores indicating more improvement in clinical status. | Day 0 and 112 |
| Day 112 |
| Explore univariate correlation and linear regression of MRI ventilation defect percent and asthma-related quality of life as measured by the Asthma Quality of Life Questionnaire | The relationship between ventilation defect percent and asthma-related quality of life as measured by the Asthma Quality of Life Questionnaire with Standardised Activities (AQLQ(S)) will be assessed using a univariate correlation analysis and linear regression. The AQLQ(S) is scored from 1-7, with lower scores indicating more severe impairment. | Day 112 |
| Explore univariate correlation and linear regression of MRI ventilation defect percent and daily life and perceived well-being as measured by the St. George's Respiratory Questionnaire | The relationship between ventilation defect percent and daily life and perceived well-being as measured by the St. George's Respiratory Questionnaire (SGRQ) will be assessed using univariate correlation analysis and linear regression. The SGRQ is scored from 0-100 with higher scores indicating more limitations. | Day 112 |
| Explore univariate correlation and linear regression of MRI ventilation defect percent and forced expiration volume in one second. | The relationship between ventilation defect percent and forced expiration volume in one second will be assessed using univariate correlation analysis and linear regression. This information gives insight into the relationship between pulmonary function and structure. | Day 112 |
| Explore univariate correlation and linear regression of MRI ventilation defect percent and forced vital capacity | The relationship between ventilation defect percent and forced vital capacity will be assessed using univariate correlation analysis and linear regression. This information gives insight into the relationship between pulmonary function and structure. | Day 112 |
| Explore univariate correlation and linear regression of MRI ventilation defect percent and lung volumes | The relationship between ventilation defect percent and lung volumes will be assessed using univariate correlation analysis and linear regression. This information gives insight into the relationship between pulmonary function and structure. | Day 112 |
| Explore univariate correlation and linear regression of MRI ventilation defect percent and airways resistance | The relationship between ventilation defect percent and airways resistance will be assessed using univariate correlation analysis and linear regression. This information gives insight into the relationship between pulmonary function, structure and inflammation. | Day 112 |
| Explore univariate correlation and linear regression of MRI ventilation defect percent and forced oscillation technique | The relationship between ventilation defect percent and forced oscillation technique will be assessed using univariate correlation analysis and linear regression. This information gives insight into the relationship between pulmonary function, structure and inflammation. | Day 112 |
| Explore univariate correlation and linear regression of MRI ventilation defect percent and lung clearance index | The relationship between ventilation defect percent and lung clearance index will be assessed using univariate correlation analysis and linear regression. This information gives insight into the relationship between pulmonary function and structure. | Day 112 |
| Explore univariate correlation and linear regression of MRI ventilation defect percent and sputum measurements of eosinophilia | The relationship between ventilation defect percent and sputum eosinophils will be assessed using univariate correlation analysis and linear regression. This information gives insight into the relationship between pulmonary structure and sputum eosinophils. | Day 112 |
| Explore univariate correlation and linear regression of MRI ventilation defect percent and blood measurements of eosinophilia | The relationship between ventilation defect percent and blood eosinophils will be assessed using univariate correlation analysis and linear regression. This information gives insight into the relationship between pulmonary structure and blood eosinophils. | Day 112 |
| Explore univariate correlation and linear regression of MRI ventilation defect percent and fraction exhaled nitric oxide | The relationship between ventilation defect percent and airways resistance will be assessed using univariate correlation analysis and linear regression. This information gives insight into the relationship between pulmonary function, structure and inflammation. | Day 112 |
| McIntosh MJ, Kooner HK, Eddy RL, Jeimy S, Licskai C, Mackenzie CA, Svenningsen S, Nair P, Yamashita C, Parraga G. Asthma Control, Airway Mucus, and 129Xe MRI Ventilation After a Single Benralizumab Dose. Chest. 2022 Sep;162(3):520-533. doi: 10.1016/j.chest.2022.03.003. Epub 2022 Mar 10. |
| D007960 |
| Leukocyte Disorders |
| D006402 | Hematologic Diseases |
| D006425 | Hemic and Lymphatic Diseases |