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The goal of this observational study is to compare the fluctuation patterns of biomarkers (Spirometry, FeNO, IOS) of responders and non-responders in asthma patients who will start treatment with a biologic. The main question it aims to answer is: Can fluctuation patterns of parameters for spirometry, FeNO and IOS before and after starting treatment with biologics in patients with severe asthma be used to predict a successful intervention.
Participants will measure Spirometry, FeNO and IOS twice a day at home for 2 or 3 months starting one month before starting treatment with a biological.
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SUMMARY
Rationale: Treatment of patients with severe asthma has taken a new avenue with the introduction of biologics. Currently, treatment success with biologics may be around 75% and is determined by assessing various biomarkers after 4 to 6 months of treatment. At a stable state, biological processes dynamically fluctuate within certain borders, which differ between asthma and healthy controls. By exposure to the common cold virus, we have shown that destabilizing the condition of asthma patients and healthy controls directly but temporarily changes the fluctuation patterns of biological processes. We propose that treatment success also changes fluctuation patterns, and that this occurs relatively fast after treatment is started. By daily measurements of spirometry, fraction of exhaled nitric oxide (FeNO) and impulse oscillometry (IOS), using the Respicorder device, we expect to determine the effect of treatment at an early stage and limit prolonged treatment of patients with a non-effective biologic, and the very high costs of these biologics.
Objective: To investigate the fluctuation patterns of different pulmonary parameters in patients with severe asthma, before and after starting a treatment with biologics, using daily measurements with the Respicorder device.
Study design: The study design is an observational cohort study that will include patients that are scheduled for an intervention with biologic treatment in standard care. Patients will receive their standard treatment and will perform some extra measurements during their regular visits and they will perform measurements with the Respicorder device twice a day at home.
Study population: 48 patients with severe asthma between 18-60 years old who will start treatment with biologics.
Main study parameters/endpoints: The Respicorder device measures standard spirometry (FEV1, FVC), IOS parameters and FeNO, which will be used for fluctuation analysis. The Asthma Control Questionnaire (ACQ),Asthma Quality of Life Questionnaire (AQLQ) and Severe Asthma Questionnaire (SAQ) will be used to quantify asthma status. Patients will be evaluated by their treating clinician after 4 and 6 months of treatment with a biological. The outcome will be linked to the fluctuation patterns, such that can be evaluated whether these patterns can be used to predict a successful treatment with a biologic.
Secondary study parameters:
Spirometry, IOS and FeNO measurements with standard devices as done in standard care in the hospital will be used to compare with the Respicorder measurements. Subjects will also be asked about their experience with the Respicorder.
Nature and extent of the burden and risks associated with participation, benefit and group relatedness: The risk for adverse events due to participation in this study is minimal. The daily additional measurements with the Respicorder device can be a burden to patients. The Respicorder measurements take about 5 minutes, which we consider as an acceptable burden given the expected impact of the study. Subjects will also be subjected to measurements according to the standard protocol in clinical care.
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Inclusion criteria
In order to be eligible to participate in this study, a subject must meet all of the following criteria:
Exclusion criteria
A potential subject who meets any of the following criteria will be excluded from participation in this study:
48 participants in 1 patient group
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Central trial contact
Arjen Pelgröm, MSc.; Rene Lutter, Dr.
Data sourced from clinicaltrials.gov
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