Pharmacogenetics Use For Further Treatment Improvement in childreN (PUFFIN)
|The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Know the risks and potential benefits of clinical studies and talk to your health care provider before participating. Read our disclaimer for details.|
|ClinicalTrials.gov Identifier: NCT03654508|
Recruitment Status : Recruiting
First Posted : August 31, 2018
Last Update Posted : January 23, 2019
There is large heterogeneity in treatment response to asthma medication and a one-size fits all approach based on current guidelines might not fit all children with asthma. It is expected that children with one or more variant alleles (Arg16Arg and Arg16Gly) within the beta2 adrenergic receptor (ADRB2) gene coding for the beta2-receptor have a higher risk to poorly respond to long-acting beta2-agonists (LABA) comparing to the Gly16Gly wildtype.
Aims To study whether ADRB2 genotype-guided treatment will lead to improvement in asthma control in children with uncontrolled asthma on inhaled corticosteroids compared with usual care.
Design A multicentre, double-blind, precision medicine, randomized trial will be carried out within 20 Dutch hospitals. 310 asthmatic children (6-17 years of age) not well controlled on a low dose of inhaled corticosteroids (ICS) will be included and randomized over a genotype-guided and a non-genotype-guided(control) arm. In the genotype-guided arm children with Arg16Arg and Arg16Gly will be treated with double dosages of ICS and with the Gly16Gly wildtype with add on LABA. In the control arm children will be randomized over both treatment options. Lung function measurements, questionnaires focussing on asthma control (ACT/c-ACT) and quality of life, will be obtained in three visits within 6 months. The primary outcome will be improvement in asthma control based on repeated measurement analysis of c-ACT or ACT scores in the first three months of the trial. Additional cost effectiveness studies will be performed.
Conclusion Currently, pharmacogenetics is not used in paediatric asthmas. This trial may pave the way to implement promising results for genotype-guided treatment in paediatric asthma in clinical practice.
|Condition or disease||Intervention/treatment||Phase|
|Asthma in Children||Genetic: ADRB2-genotype guided treatment Other: Randomisation||Not Applicable|
Study design: national, multi-centre, double-blind randomized controlled trial
Duration: 6 months, with 3 visits in the hospitals (at t=0, t=3 months and t=6 months)
Setting: Patients are recruited at out-patient asthma clinics in secondary and tertiary care hospitals in the Netherlands.
Description: Three hundred ten children (6 to 17 years of age) with a doctor's diagnosis of asthma and uncontrolled asthma symptoms despite adherent and adequate use of ICS for at least three months (step 2 asthma treatment) will be recruited by secondary and tertiary care centers in the Netherlands. All participants are eligible for step-up asthma treatment (from step 2 to step 3) as assessed by the treating paediatrician/paediatric pulmonologist. Participants will be randomized to a genotype-guided treatment arm (n=155) or to a usual care, non-genotype guided arm (n=155) and followed for 6 months.
Genotyping before start treatment During the baseline visit in the hospital, clinical data and biological samples (including a DNA sample) will be collected. Upon this visit, the DNA sample will be send to the Clinical Chemistry department of the Erasmus MC (Head: Prof. R. van Schaik) to perform genotyping of the ADRB2 gene within one week. The treating physician will adapt the treatment regime of the participant based on the treatment advice of the study coordinator (Table 1). For the children in the genotype-arm, this will be based on the genotype. The treating physician will not know (be blinded) whether the treatment advice was based on the genotype (intervention arm) or based on randomization (control arm). The participant will be followed for 6 months. If the participant is still uncontrolled at t=3 months, treatment will be adapted. All children will be genotyped, in order to assess the influence of the genotype on treatment outcome in the usual arm group retrospectively. The children should use the same inhalation device during the study to avoid confusion on how they should inhale their medication.
Furthermore, to test the hypothesis it is necessary to include enough children in the control group with Arg16Arg or Arg16Gly to be treated with LABA. The amount of children treated with LABA and ICS should be equal in the control group. Therefore children are randomized in the control group over doubling ICS (n=77) and adding LABA (n=77). This will lead to an estimated number of children with Arg16Arg or Arg16Gly of 51 who will get LABA add on. In this way the power is high enough to determine the effectivity of both treatment options in the three genotypes. The investigators find it important to define effectivity next to the question whether genotyping benefits children with asthma. In the control group DNA samples will be obtained for retrospective analysis.
It is safe to randomise the children again who are randomised within the control arm, because treatment with a double dose of ICS and adding a LABA are both standard of care. A Cochrane review from 2009 has shown that both treatments have proven to be equally effective in both children and adults Randomisation in the control arm is important because it would be futile if the children in this arm would be treated with the same therapy by accident. Randomisation is necessary to make the trial as small and effective as possible. At this moment physicians do not have the tools to determine which therapy is the best for every child. This is why the investigators think it is correct to randomise in the control arm.
|Study Type :||Interventional (Clinical Trial)|
|Estimated Enrollment :||310 participants|
|Intervention Model:||Parallel Assignment|
|Intervention Model Description:||multicentre, double-blind, precision medicine, randomized trial|
|Masking:||Double (Participant, Care Provider)|
|Official Title:||Pharmacogenetics Use For Further Treatment Improvement in childreN|
|Actual Study Start Date :||June 12, 2018|
|Estimated Primary Completion Date :||November 1, 2019|
|Estimated Study Completion Date :||November 1, 2019|
Active Comparator: ADRB2-genotype guided treatment arm
In the genotype-stratified arm, children will be treated based on their ADRB2 genotype. Children homozygous for the risk variant Arg16 and heterozygotes (Arg16Gly) will be treated with doubling dosages of their ICS. Children homozygous for the wild type allele (Gly16Gly) will receive LABA.
Genetic: ADRB2-genotype guided treatment
This intervention assesses whether ADRB2 genotype-guided treatment leads to better asthma control after 3 months compared to usual care in children who are uncontrolled despite adherent and adequate use of ICS.
Active Comparator: Control arm
In the control arm, genotyping will be performed for retrospective analysis, but the genotype information will not be used to guide treatment. Children in this study arm will proceed randomisation between doubling ICS dosage (n=75) or LABA treatment (n=75), the two most commonly preferred add-on options among paediatric pulmonologists in the Netherlands. The investigators choose to randomize between both treatments options, since international guidelines do not agree on the preferred treatment option.
In the control arm, children will be randomised over double dose ICS or ICS+LABA instead of treatment according to their genotype.
- Asthma control based on (childhood-)Asthma Control Test scores in the first 3 months of the trial [ Time Frame: 3 months ]Patients will fill in the (childhood-)Asthma Control Test at baseline, after 3 months [Range score: 0 - 27, 20 or more means asthma under control]
- Change in asthma control at t=6 months (childhood-)Asthma Control Test [ Time Frame: 6 months ]Patients will fill in the (childhood-)Asthma Control Test at baseline after 6 months [Range score: 0 - 27, 20 or more means asthma under control]
- Change in asthma-related school absences [ Time Frame: 6 months ]Patients will fill in a questionnaire about asthma-related school absences [Minimum score 0 days, maximum score more than 10 days]
- Change in therapy in t = 3 months [ Time Frame: 3 months ]Patients will be questioned what kind of treatment they use at baseline visit, after three months
- Time to reach asthma control (Asthma Control Test score ≥20) [ Time Frame: 6 months ]Patients will fill in the (childhood-)Asthma Control Test at baseline, every month [Range score: 0 - 27, 20 or more means asthma under control]
- Cost-effectiveness of ADRB2 genotype guided treatment measured by the Productivity Cost Questionnaire [ Time Frame: 3 and 6 months ]
Patients will fill in the Productivity Cost Questionnaire at 0, 3 and 6 months. The IPCQ measures:
- absenteeism (number of days missed from work in the 4 weeks due to ilness) -- minimum is 0, maximum (in theory) is 28 days
- Presenteism (productivity lost while at work due to ilness) -- minimum is 0, maximum is 224 hours.
In absenteeism, a lower number of days missed from work represent a better outcome; In presenteism, a lower number of hours represent a better outcome For presenteism the number of hours productivity loss is calculated by the following formula using data from the questionnaire.
presenteism = number of workingdays affected by illness * (1-efficiencyscore/10)*working hours per working day.
This results in a monetary value for productivity loss.
- In-depth integrative -omics analysis [ Time Frame: 0, 3 and 6 months ]Non-response to ICS treatment will be measured by analysing feces samples (microbiome) and nose swabs (epigenome). Nose swabs will be collected after 0, 3 and 6 months and feces after 1 month
- Change in quality of life assessed by the Paediatric Asthma Quality of Life Questionnaire (PAQLQ) score [ Time Frame: 0, 3 and 6 months ]
Measured by the Pediatric Asthma-related Quality of Life Questionnaire (PAQLQ). Children are asked to think about how they have been during the previous week and to respond to each of the 32 questions on a 7-point scale (7 = not bothered at all -
1 = extremely bothered). The overall PAQLQ score is the mean of all 23 responses and the individual domain scores are the means of the items in those domains. Subscales are summed.
- Change in fatigue scores assessed by the PedsQL questionnaire [ Time Frame: 0, 3 and 6 months ]Measured by the PedsQL questionnaire, a 23 item generic score scale consisting of physiological functioning, emotional functioning, social functioning and school functioning questions with multidimensional scales. Subscales are summed. This modular instrument uses a 5-point scale: from 0 (never) to 4 (almost always). Items are reversed scored and linearly transformed to a 0-100 scale as follows: 0=100, 1=75, 2=50, 3=25, 4=0. 4 dimensions (physical, emotional, social, & school functioning) are scored.
- change in FEV1 at t = 3 months [ Time Frame: 0 and 3 months ]FEV1 will be measured at 0 and 3 months, change in FEV1 will be calculated.
- change in FEV1 at t = 6 months [ Time Frame: 0, 3 and 6 months ]FEV1 will be measured at t=0 and 6 months, change in FEV1 will be calculated
- change in fraction of exhaled nitric oxide at t=3 months [ Time Frame: 0 and 3 months ]Exhaled nitric oxide measures will be performed using the Niox Vero at t=0 and 3 months
- change in fraction of exhaled nitric oxide at t=6 months [ Time Frame: 0,3 and 6 months ]Exhaled nitric oxide measures will be performed using the Niox Vero at t=0. 3 and 6 months
To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT03654508
|Contact: Elise MA Slob, PharmDemail@example.com|
|Contact: Susanne JH Vijverberg, PhDfirstname.lastname@example.org|
|Medisch Centrum Leeuwarden||Recruiting|
|Leeuwarden, Friesland, Netherlands, 8934AD|
|Contact: Tjalling W de Vries, dr. 0031582863390 email@example.com|
|Principal Investigator: Tjalling de Vries, MD, PhD|
|Arnhem, Gelderland, Netherlands, 6815 AD|
|Contact: Linda van Gilst 003188005 7782 firstname.lastname@example.org|
|Principal Investigator: Judit Wesseling, MD, PhD|
|Nijmegen, Gelderland, Netherlands, 6525GA|
|Contact: Peter Merkus, dr. 0031243614430 email@example.com|
|Contact: Nicole Keijzers-Gerrits 0031243668957 firstname.lastname@example.org|
|Principal Investigator: Peter Merkus, MD, PhD|
|Sub-Investigator: Jolt Roukema, MD, PhD|
|Canisius Wilhelmina Ziekenhuis||Not yet recruiting|
|Nijmegen, Gelderland, Netherlands, 6532 SZ|
|Contact: Petra Stevens 0031243658146 email@example.com|
|Principal Investigator: Marianne Brouwer, MD, PhD|
|Zuyderland Medisch Centrum||Not yet recruiting|
|Sittard, Limburg, Netherlands, 6162BG|
|Contact: Han Hendriks 0031884599703 firstname.lastname@example.org|
|Principal Investigator: Han Hendriks, MD, PhD|
|Breda, Noord-Brabant, Netherlands, 4818CK|
|Contact: Anja Vaessen-Verberne, MD, PhD +3176 595 29 34 email@example.com|
|Contact: Bas Harzing +3176 595 29 34 firstname.lastname@example.org|
|Principal Investigator: Anja Vaessen-Verberne, MD, PhD|
|Sub-Investigator: Sanne Hammer, MD|
|Eindhoven, Noord-Brabant, Netherlands, 5623 EJ|
|Contact: Hein Brackel, MD, PhD 0031402399200 email@example.com|
|Principal Investigator: Hein Brackel, MD, PhD|
|Academic Medical Center, Department of Respiratory Disease||Recruiting|
|Amsterdam-Zuidoost, Noord-Holland, Netherlands, 1105AZ|
|Contact: Elise MA Slob, PharmD 0031622315290 firstname.lastname@example.org|
|Contact: Susanne JH Vijverberg, PhD 0031205665995 email@example.com|
|Principal Investigator: Anke-Hilse Maitland-van der Zee, MD, PhD|
|Sub-Investigator: Niels W Rutjes, MD|
|Sub-Investigator: Suzanne Terheggen, MD, PhD|
|Sub-Investigator: Elise MA Slob, PharmD|
|Sub-Investigator: Susanne JH Vijverberg, PhD|
|VUmc locatie Boelelaan||Not yet recruiting|
|Amsterdam, Noord-Holland, Netherlands, 1081 HV|
|Contact: Eric Haarman, MD, PhD firstname.lastname@example.org|
|Principal Investigator: Eric Haarman, MD, PhD|
|VUmc locatie Louwesweg||Recruiting|
|Amsterdam, Noord-Holland, Netherlands, 1081 HV|
|Contact: Anneke Cranendonk 0031621956917 email@example.com|
|Contact: Atie van der Plas firstname.lastname@example.org|
|Principal Investigator: Olivier Weijer, MD, PhD|
|Sub-Investigator: Roos Padberg, MD|
|Hoofddorp, Noord-Holland, Netherlands, 0031232245730|
|Contact: Marieke Mérelle, dr. 0031232245730 email@example.com|
|Contact: Michelle Blesh|
|Principal Investigator: Marieke Mérelle, MD|
|Sub-Investigator: Léon Winkel, MD|
|Medisch Spectrum Twente||Not yet recruiting|
|Enschede, Twente, Netherlands, 7512 KZ|
|Contact: Natasja Lammers, MD firstname.lastname@example.org|
|Principal Investigator: Boony Thio, MD, PhD|
|Reinier de Graaf Gasthuis||Not yet recruiting|
|Delft, Zuid-Holland, Netherlands, 2625 AD|
|Contact: Leonieke van Veen, MD, PhD 003115260 3470 email@example.com|
|Principal Investigator: Leonieke van Veen, MD, PhD|
|Haga ziekenhuis||Not yet recruiting|
|Den Haag, Zuid-Holland, Netherlands, 2545 AA|
|Contact: Marianne Nuijsink, MD 0031 70 210 00 00 firstname.lastname@example.org|
|Principal Investigator: Marianne Nuijsink, MD|
|Erasmus Medical Center||Recruiting|
|Rotterdam, Zuid-Holland, Netherlands, 3015CN|
|Contact: Mariëlle MW Pijnenburg, dr. 0031107036263 email@example.com|
|Principal Investigator: Mariëlle W Pijnenburg, MD, PhD|
|Sub-Investigator: Liesbeth Duijts, MD, PhD|
|Rotterdam, Zuid-Holland, Netherlands, 3079 DZ|
|Contact: Mariël Verwaal 0031102912793 firstname.lastname@example.org|
|Principal Investigator: Mariël Verwaal|
|University Medical Center Groningen||Recruiting|
|Groningen, Netherlands, 9700RB|
|Contact: Gerard H Koppelman, Prof. dr. 0031503614213 email@example.com|
|Principal Investigator: Gerard H Koppelman, MD, PhD|
|Sub-Investigator: Elin Kersten, MD, PhD|
|Groningen, Netherlands, 9728NT|
|Contact: Arvid Kamps, dr. 0031505246900 firstname.lastname@example.org|
|Contact: Jacqueline Biermann-Wijnia +31(0)505246311 email@example.com|
|Principal Investigator: Arvid Kamps, MD, PhD|
|Sub-Investigator: Janneke van Leeuwen, MD, PhD|
|Hilversum, Netherlands, 1213 XZ|
|Contact: Bart van Ewijk 0031612478100 firstname.lastname@example.org|
|Contact: Annette de Bruin 003188 753 11 60 email@example.com|
|Principal Investigator: Bart van Ewijk, MD, PhD|
|Sub-Investigator: Karin Miedema, MD|
|Principal Investigator:||Anke-Hilse Maitland-van der Zee, Prof. Dr.||Academic Medical Center, Department of Respiratory Medicine|