Fluctuation Analyses of Asthma Patients With Biologics Use (FABLE)

October 31, 2023 updated by: Els J.M. Weersink, Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)

Early Detection of the Effectiveness of Treatment With Biologicals in Patients With Severe Asthma Using Fluctuation Analysis of Biomarkers

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.

Study Overview

Status

Not yet recruiting

Conditions

Intervention / Treatment

Detailed Description

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.

Study Type

Observational

Enrollment (Estimated)

48

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Patients with severe asthma who will start treatment with a biological from 18-60 years old.

Description

Inclusion Criteria:

In order to be eligible to participate in this study, a subject must meet all of the following criteria:

  • Severe asthma based on the definition by the 2022 GINA guidelines.
  • Will start treatment with a biological
  • 18-60 years old
  • Subject should be willing and able to perform the lung function tests and other study-related procedures and comply with study protocol requirements.
  • Apart from their asthma, subjects should be generally healthy with no history of a clinically relevant medical condition that in the opinion of the investigator might interfere with successful study conduct and no clinically relevant abnormalities on medical history.
  • Subjects should provide a signed and dated informed consent

Exclusion Criteria:

A potential subject who meets any of the following criteria will be excluded from participation in this study:

  • Has been tested positively for COVID-19 in the past month or has not fully recovered from an earlier COVID-19 infection (e.g. post-covid syndrome)
  • Has been treated with oral corticosteroids as high-dose therapy in the 6 weeks before visit 1.
  • Has been treated with another biologic within 3 months before start treatment with new biological (e.g. 2 months before the start of the study participation)
  • Not able to perform spirometry/IOS/FeNO tests correctly
  • Not able to handle Respicorder well
  • Subject is a current smoker/vaper, uses recreational drugs, or has >10 packyears
  • Subject is anticipated not to comply with study protocol or other aspects of the study (at the discretion of the investigator)
  • Participation to the study is not medically responsible according to the study physician and/or principle investigator
  • Inability to read and/or understand the Dutch language

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Asthma patients
All asthma patients will be observed and receive their regular treatment
This intervention is part of regular treatment, subjects will be included if they get this treatment.
Other Names:
  • Omalizumab
  • Benralizumab
  • Mepolizumab
  • Dupilimab
  • Reslizumab

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Treatment success with biological
Time Frame: at 4-6 months after start treatment with biological

Treatment success is defined if two or more of the following are true:

  • A decrease of ACQ score of 0,5 points or an ACQ≤1,5 after 4-6 months compared to visit 2 (start of treatment with biological) and/or
  • An increase of SAQ score of 0,5 points after 4-6 months compared to visit 2 (start of treatment with biological) and/or
  • Minimal 30% reduction of dose of maintenance treatment with OCS after 4-6 months compared to visit 2 (start of treatment with biological)
  • and/or Decrease in exacerbation rate in the 4-6 months after visit 2 compared to the same period (4-6 months) before visit 2
at 4-6 months after start treatment with biological
trend of Asthma Control Questionnaire
Time Frame: 1x a week for 2-3 months + at 4-6 months after start treatment with biological
average of 7 questions regarding asthma control (scorerange 0-6), higher score means worse asthma control
1x a week for 2-3 months + at 4-6 months after start treatment with biological
trend of Asthma Quality of Life Questionnaire
Time Frame: 1x a week for 2-3 months + at 4-6 months after start treatment with biological
average of 32 questions regarding impact of asthma on quality of life (scorerange 1-7), higher score means better quality of life
1x a week for 2-3 months + at 4-6 months after start treatment with biological
trend of Severe Asthma Questionnaire
Time Frame: 1x a week for 2-3 months + at 4-6 months after start treatment with biological

SAQ-score: average of 16 questions regarding severe asthma (scorerange 1-7), higher score means better quality of life.

SAQ-global: score representing overall satisfaction (scorerange 0-100)

1x a week for 2-3 months + at 4-6 months after start treatment with biological
trend of PESAM questionnaire
Time Frame: at 1+ 2 (if applicable) + 4-6 months after start treatment with biological
Patient Experience and SAtisfaction with Medication (PESAM) represents patients satisfaction with the treatment with the biological
at 1+ 2 (if applicable) + 4-6 months after start treatment with biological
Fluctuation pattern of spirometry
Time Frame: 2-3 months
Subjects will perform spirometry measurements 2x a day. This data will be used to create a fluctuation pattern of the FEV1(L) and FVC (L). The change in fluctuation pattern before and after start of treatment will be compared between responders and non-responders to treatment with a biological. The fluctuation pattern cannot be described as one parameter, but is a combination of several properties (phase-space plot, entropy). This study has an explorative nature that will aim to assess how such a fluctuation pattern can be described.
2-3 months
Fluctuation pattern of FeNO
Time Frame: 2-3 months
Subjects will perform FeNO measurements 2x a day. This data will be used to create a fluctuation pattern of FeNO (ppb). The change in fluctuation pattern before and after start of treatment will be compared between responders and non-responders to treatment with a biological. The fluctuation pattern cannot be described as one parameter, but is a combination of several properties (phase-space plot, entropy). This study has an explorative nature that will aim to assess how such a fluctuation pattern can be described.
2-3 months
Fluctuation pattern of IOS
Time Frame: 2-3 months
Subjects will perform impulse oscillometry (IOS) measurements 2x a day. This data will be used to create a fluctuation pattern of the IOS parameters (R5, R20, X5, Fs, AX etc). The change in fluctuation pattern before and after start of treatment will be compared between responders and non-responders to treatment with a biological. The fluctuation pattern cannot be described as one parameter, but is a combination of several properties and parameters (phase-space plot, entropy). This study has an explorative nature that will aim to assess how such a fluctuation pattern can be described.
2-3 months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
FEV1 as measured with standard Spirometry
Time Frame: 3 or 4 times during 2-3 months
Forced Expiratory Volume in one second measured with standard spirometry with standard lung function equipment during every visit
3 or 4 times during 2-3 months
FVC as measured with standard Spirometry
Time Frame: 3 or 4 times during 2-3 months
Forced vital capacity measured with standard spirometry with standard lung function equipment during every visit
3 or 4 times during 2-3 months
Standard Impulse oscillometry
Time Frame: 3 or 4 times during 2-3 months
IOS measured with standard equipment during every visit
3 or 4 times during 2-3 months
standard FeNO
Time Frame: 3 or 4 times during 2-3 months
FeNO measured with standard equipment during every visit
3 or 4 times during 2-3 months
lab values from standard care before study
Time Frame: At inclusion
for example blood eosinophil count
At inclusion
lab values from standard care during study
Time Frame: at 4-6 months after start treatment with biological
for example blood eosinophil count
at 4-6 months after start treatment with biological
Rate of medication reduction after the start of treatment with the biological
Time Frame: At inclusion
The medication a patient used in the 6 months before inclusion will compared to the medication use thoughout the study period until follow-up (4-6 months after start treatment with biological)
At inclusion
Respicorder adherence (% of possible measurements actually performed)
Time Frame: 2-3 months
Do patients perform the measurements with the Respicorder as scheduled (2x a day). This will be reported as a percentage.
2-3 months
Respicorder qualitative feedback
Time Frame: 2-3 months
What is the user experience with the Respicorder. This will be an open question(s) to the patients.
2-3 months

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Demographics
Time Frame: at inclusion
age at inclusion, sex
at inclusion
Height
Time Frame: at inclusion
Height in cm of subjects
at inclusion
Descriptives
Time Frame: at inclusion
Height, weight, medical history (especially eosinophil count, chronic rhinosinusitis and nasal polyps), intoxications, medication use and changes, recent vaccinations, known allergies (especially house dust mite and pollen allergies), special diet (for FeNO), sickness during study period and their day/night rhythm
at inclusion
Weight
Time Frame: at inclusion
weight of subjects in Kg
at inclusion
Eosinophil count thoughout study
Time Frame: at inclusion + 5-7 months from inclusion to follow up
last eosinophil count before inclusion and all eosinophil counts performed in regular care during the study period
at inclusion + 5-7 months from inclusion to follow up
Chronic rhinosinusitis
Time Frame: At inclusion
Percentage of subjects with chronic rhinosinusitis
At inclusion
Recent vaccinations
Time Frame: At inclusion + 5-7 months from inclusion to follow up
Do the subjects have had a recent vaccination (percentage)
At inclusion + 5-7 months from inclusion to follow up
Allergies
Time Frame: at inclusion
Do the subjects have allergies (percentage per allergy)
at inclusion
Sickness during study period
Time Frame: 5-7 months from inclusion to follow up
Have the subjects been sick (for example common cold) during study period (percentage)
5-7 months from inclusion to follow up
Day/night rhytm
Time Frame: at inclusion
Percentage of subjects with a normal day/night rhythm
at inclusion

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Els Weersink, Dr., Amsterdam UMC, location AMC

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

December 1, 2023

Primary Completion (Estimated)

September 30, 2024

Study Completion (Estimated)

September 30, 2024

Study Registration Dates

First Submitted

June 20, 2023

First Submitted That Met QC Criteria

August 29, 2023

First Posted (Actual)

September 6, 2023

Study Record Updates

Last Update Posted (Actual)

November 1, 2023

Last Update Submitted That Met QC Criteria

October 31, 2023

Last Verified

October 1, 2023

More Information

Terms related to this study

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

Clinical Trials on Asthma

Clinical Trials on Biological Drug

Subscribe