- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04717115
Genotype/Phenotype Correlation With Focus on Lung Function in Primary Ciliary Dyskinesia (PCD) (LuFu_PCD)
An International Study on Genotype/Phenotype Correlation With Focus on Lung Function in Patients With Primary Ciliary Dyskinesia (PCD)
Primary Ciliary Dyskinesia (PCD) is a rare genetic disorder characterized by dysfunction of motile cilia associated with recurrent infections of the airways, laterality defects (Situs inversus totalis in about 50% of cases) and fertility problems. At present, mutations in > 45 genes associated with PCD and mucociliary clearance disorders have been identified, representing most likely two thirds of all human cases.
Aim of this study are:
- Correlation between genotype and lung function of patients with genetically confirmed PCD in an international cohort on a longitudinal basis
- Determination of further parameters, such as body mass index (BMI), possibly associated with lung function in genetically confirmed PCD patients
Study Overview
Status
Intervention / Treatment
Detailed Description
Background Primary Ciliary Dyskinesia (PCD) is a rare genetic disorder characterized by dysfunction of motile cilia associated with recurrent infections of the airways, laterality defects (Situs inversus totalis in about 50% of cases) and fertility problems. At present, mutations in > 40 genes associated with PCD and mucociliary clearance disorders have been identified, representing most likely two thirds of all human cases. While being involved in the majority of identified PCD genes, our working group has a great expertise in genetic analysis and diagnostic work-up of patients with PCD.
Hallmark symptom of PCD is the chronic purulent lung disease due to the reduced mucociliary clearance. Chronic inflammation and recurrent infections of the airways promote continuous lung damage, bronchiectasis and could finally lead to total lung failure. For other congenital diseases with chronic lung conditions, e.g. cystic fibrosis (CF), an affected lung function with a steady decline is well described and spirometry is widely used to monitor disease progression. For PCD there are only limited data available and studies often comprise small cohorts. In general, available data assume a decline of lung function in PCD patients compared to healthy individuals, but less pronounced than in CF. Altogether, results of the studies remain heterogeneous, in particular concerning the influence of an early diagnosis and a proper treatment on lung function.
Furthermore, despite a significant progression in genetically solved cases there are almost no data on genotype specific lung function in patients with PCD. Recently, there are few studies indicating an association between specific ultrastructural or genetic defects, e.g. patients carrying mutations in the genes MCIDAS (Multicilin), CCNO (Cyclin O), CCDC39 (Coiled-Coil Domain Containing 39) and CCDC40 (Coiled-Coil Domain Containing 40) and a severe clinical course in particular a worse respiratory phenotype. There might be a less severe phenotype in PCD sub-types due to mutations in genes encoding radial spoke components.
Currently a systematic review shows the high variation of spirometric indices in a great PCD cohort. These findings underline the great necessity of detailed characterization of genotype specific phenotypes with focus on important parameters such as lung function to better understand the natural history of distinct PCD-variants with a view to improve individual patient care by tailored treatment activity according to likely disease severity.
Aim of this study are:
- Correlation between genotype and lung function of patients with genetically confirmed PCD in an international cohort on a longitudinal basis
- Determination of further parameters, such as body mass index (BMI), possibly associated with lung function in genetically confirmed PCD patients
Inclusion criteria:
- Patients with a genetically confirmed diagnosis of PCD (bi-allelic mutations in a gene, known to cause PCD) with typical clinical symptoms of PCD and at least one other method confirming PCD-diagnosis
- Children and adults diagnosed with PCD of all age groups and able to perform spirometry
- Longitudinal datasets with measurements of lung function (FEV1 (forced expiratory volume in 1 second), FVC (forced vital capacity), FEV1/FVC, FEF (forced expiratory flow) 25-75) (with date and height at the performed measurement, respectively)
- at least 3-4 different measurements in at least 2 years of follow up are expected - in cases where this is not possible, sporadic data could also be provided
- Delivery of datasets to the international PCD registry (NCT02419365) with all necessary values within the anticipated time schedules
Study Type
Enrollment (Anticipated)
Contacts and Locations
Study Contact
- Name: Johanna Raidt, MD
- Phone Number: +49 251 83 40003
- Email: Johanna.Raidt@ukmuenster.de
Study Contact Backup
- Name: Simone Helms
- Phone Number: + 49 251 83 48358
- Email: Simone.Helms@ukmuenster.de
Study Locations
-
-
NRW
-
Münster, NRW, Germany, 48149
- Recruiting
- University Hospital Münster
-
Contact:
- Simone Helms
- Phone Number: 48358 +4925183
- Email: Simone.Helms@ukmuenster.de
-
Contact:
- Heymut Omran, Prof. Dr. MD
- Phone Number: 41097 004925183
- Email: PCDregistry.eu@ukmuenster.de
-
Principal Investigator:
- Heymut Omran, Prof. Dr. MD
-
Sub-Investigator:
- Johanna Raidt, MD, Dr. med.
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
- Patients with a genetically confirmed diagnosis of PCD (bi-allelic mutations in a gene, known to cause PCD) with typical clinical symptoms of PCD and at least one other method confirming PCD-diagnosis
- Children and adults diagnosed with PCD of all age groups and able to perform spirometry
- Longitudinal datasets with measurements of lung function (FEV1, FVC, FEV1/FVC, FEF25-75) (with date and height at the performed measurement, respectively) at least 3-4 different measurements in at least 2 years of follow up are expected - in cases where this is not possible, sporadic data could also be provided
- Delivery of datasets to the international PCD registry (14) with all necessary values within the anticipated time schedules
Study Plan
How is the study designed?
Design Details
- Observational Models: Case-Control
- Time Perspectives: Retrospective
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
Genetic diagnosis
|
No Intervention foreseen, but genetically confirmed diagnosis of PCD (bi-allelic mutations in a gene, known to cause PCD) with typical clinical symptoms of PCD and at least one other method confirming PCD-diagnosis is needed
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Genotype-Lungfunction Correlation
Time Frame: up to 20 years (retrospective)
|
Lung function (FEV1, FVC, FEF) in correlation to the genetic make-up
|
up to 20 years (retrospective)
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Study Chair: Heymut Omran, Prof., MD, University Hospital Muenster
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- JR_Lufu_PCD_01_2020-1
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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.
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