- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05263843
Gender Difference in NET Activation in Patients With Congenital Heart Disease and Heart Failure (FIBRONETx)
Différences de Genre Dans l'Activation Des NET et Son Implication Dans la Formation de Fibrose Cardiaques Chez Les Patients Adultes Avec Une Cardiopathie congénitale Complexe FIBRONETx Gender
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
100 patients (50 men and 50 women including 25% with a history of pregnancy) aged 18-45 years with moderate and severe CHD (Fallot, systemic RV, and single ventricle), where fibrosis has been identified as a risk factor for heart failure, will be included. A control group of 50 patients (25 men and 25 women) were matched on age and sex.
The main objective of the study is to study the difference in NET activation between men and women with complex congenital heart disease.
Secondary objectives are:
- To compare the NET activity between healthy subjects vs. patients at inclusion.
- To compare male vs. female NET activity in healthy subjects at inclusion.
- To study the existence of associations of NET with biomarkers of fibrosis (biological and imaging) at baseline in men and women with complex congenital heart disease.
- To study the protective value of pregnancy on inflammatory mechanisms and the formation of fibrosis involved in impaired ventricular function and heart failure in these patients.
The enrolled patients will have blood samples collected for analysis of PAD4/NETs biomarkers, and fibrosis markers. NET/fibrosis markers will be correlated with clinical/laboratory parameters, notably NET/PAD4 levels with markers of fibrosis such as collagen biomarkers, ECG, echocardiographic, and cardiac magnetic resonance imaging biomarkers.
Study Type
Enrollment (Anticipated)
Contacts and Locations
Study Contact
- Name: Magalie Ladouceur, Pr
- Phone Number: 0033608260618
- Email: magalie.ladouceur@aphp.fr
Study Contact Backup
- Name: Liliane HAMMANI-BERKANI, Msc
- Phone Number: 0033156093762
- Email: liliane.berkani@aphp.fr
Study Locations
-
-
-
Paris, France, 75015
- Recruiting
- C01 - Hôpital Européen Georges Pompidou - Unité des cardiopathies congénitales de l'adulte
-
Contact:
- Magalie LADOUCEUR, MD, PHD
- Phone Number: 0033156093043
- Email: magalie.ladouceur@aphp.fr
-
Paris, France, 75015
- Not yet recruiting
- C02- Hôpital Européen Georges Pompidou - CIC
-
Contact:
- Jean-Sébastien HULOT, MD, PHD
- Phone Number: 0033156092017
- Email: jean-sebastien.hulot@aphp.fr
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
The study population will therefore be represented by:
- heart diseases at risk of heart failure with an equal proportion of men and women to be able to study the protective character of the female sex on the inflammatory process and the development of myocardial fibrosis.
- healthy adult subjects.
Description
Inclusion Criteria:
Patients:
Male or female aged 18 to 45; having one of the following 3 complex congenital heart disease:
Congenital heart disease with a systemic right ventricle Congenital heart disease with a single ventricle palliated by Fontan's circulation Tetralogy of Fallot repaired - Patient benefiting from a social security scheme or having rights, or CMU; obtaining informed consent from the patient
Healthy subjects:
Age over 18 years old, matched by sex and age +/- 5 years; Normal ECG; with a prior clinical examination; benefiting from social security; obtaining informed consent from the patient
Exclusion Criteria:
Patients:
patients with cyanosis defined as saturation ≤ 90% at rest; Usual MRI contraindications Possible confounding factors with increased NET formation unrelated to thrombosis, namely cancer, rheumatoid arthritis, lupus, antiphospholipid syndrome, history of pre-Eclampsia or hypertension; Contraindication to performing a stress test; Glomerular filtration rate <30ml / min / 1.73m² of body surface area A physical or mental disability that does not allow for a stress test; Pregnant or lactating patient;Patient under legal protection
- Healthy subjects: Known or detectable history of a heart attack on the ECG; known or detectable primary or secondary cardiomyopathy on ECG; history of chest radiation therapy or chemotherapy;Possible confounding factors with increased NET formation unrelated to thrombosis, namely cancer, rheumatoid arthritis, lupus, antiphospholipid syndrome, history of pre-Eclampsia or hypertension Contraindication to performing a stress test;Glomerular filtration rate <30ml / min;BMI>30; Pregnant or lactating patient;Patient under legal protection
Study Plan
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Prospective
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
controls
healthy subjects
|
Blood sample for measurements of NET activation and collagen biomarkers
|
|
Patients
Patients with a complex congenital heart disease
|
Blood sample for measurements of NET activation and collagen biomarkers
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
NET activation levels and PAD4 Levels
Time Frame: baseline
|
Measurements of MPO-DNA, citrullinated histone, Elastase, Calprotectine, MMP9, NGAL, and MPO, IL-8
|
baseline
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
The association of NET / PAD4 biomarker levels will be analyzed to NYHA functional class.
Time Frame: baseline
|
The association between NYHA functional class (I, II, III and IV) and the following measurements will be analyzed:
|
baseline
|
|
The association of NET / PAD4 biomarker levels will be analyzed in relation to QRS width and late potentials.
Time Frame: baseline
|
The association between each ECG parameters: QRS width (ms) and late potentials (present or absent) and the following measurements will be analyzed:
|
baseline
|
|
The association of NET / PAD4 biomarker levels will be analyzed in relation to ventricular function, ventricular longitudinal strain, diastolic parameters, presence of valvular disease, change in systemic ventricular filling profile after exercise
Time Frame: baseline
|
The association between each echographic measurement: ventricular function, ventricular longitudinal strain, diastolic parameters, presence of valvular disease, change in systemic ventricular filling profile after exercise and the following measurements will be analyzed:
|
baseline
|
|
The association of NET / PAD4 biomarker levels will be analyzed in relation to measurement of myocardial stiffness.
Time Frame: baseline
|
The association between myocardial stiffness (in KPa, measured with ultrafast cardiac echography) and the following measurements will be analyzed :
|
baseline
|
|
The association of NET / PAD4 biomarker levels will be analyzed in relation to volumes, masses and ventricular ejection fraction, late enhancement and T1 measurement
Time Frame: baseline
|
The association between each parameters of cardiac magnetic resonance imaging: volumes, masses and ventricular ejection fraction, late enhancement and T1 measurement and the following measurements will be analyzed :
|
baseline
|
|
The association of NET / PAD4 biomarker levels will be analyzed in relation to biological markers: BNP, CRPus, troponin, biomarkers of collagen metabolism.
Time Frame: baseline
|
The association between each biological markers: BNP (pg/ml), CRPus (mg/L), troponin (ng/L), biomarkers of collagen metabolism (PICP (ng/Ml), P3NP (ng/ml), ICTP (microgr/L), MMP1 (ng/ml), TIMP1 (ng/ml), galactine 3 (ng/ml)) and the following measurements will be analyzed :
|
baseline
|
Collaborators and Investigators
Investigators
- Principal Investigator: Magalie Ladouceur, Pr, Hopital Europeen Georges-Pompidou
Publications and helpful links
General Publications
- Marelli AJ, Mackie AS, Ionescu-Ittu R, Rahme E, Pilote L. Congenital heart disease in the general population: changing prevalence and age distribution. Circulation. 2007 Jan 16;115(2):163-72. doi: 10.1161/CIRCULATIONAHA.106.627224. Epub 2007 Jan 8.
- Ghali JK, Krause-Steinrauf HJ, Adams KF, Khan SS, Rosenberg YD, Yancy CW, Young JB, Goldman S, Peberdy MA, Lindenfeld J. Gender differences in advanced heart failure: insights from the BEST study. J Am Coll Cardiol. 2003 Dec 17;42(12):2128-34. doi: 10.1016/j.jacc.2003.05.012.
- Burchill LJ, Broberg CS, Maxwell BG, McLarry J, Opotowskuy S. National Heart Failure Admissions and Associated Mortality Trends in Adults With Congenital Heart Disease in the United States, 1998-2011. J Heart Lung Transplant. 1 avr 2015;34(4):S155.
- Moussa NB, Karsenty C, Pontnau F, Malekzadeh-Milani S, Boudjemline Y, Legendre A, Bonnet D, Iserin L, Ladouceur M. Characteristics and outcomes of heart failure-related hospitalization in adults with congenital heart disease. Arch Cardiovasc Dis. 2017 May;110(5):283-291. doi: 10.1016/j.acvd.2017.01.008. Epub 2017 Mar 14.
- Diller G-P. Incidence and Prevalence of Heart Failure in Adults with Congenital Heart Disease. In: Swan L, Frogoudaki AA, éditeurs. Heart Failure in Adult Congenital Heart Disease [Internet]. Cham: Springer International Publishing; 2018. p. 3-9. (Congenital Heart Disease in Adolescents and Adults). Disponible sur: https://doi.org/10.1007/978-3-319-77803-7_1
- Khairy P, Fernandes SM, Mayer JE Jr, Triedman JK, Walsh EP, Lock JE, Landzberg MJ. Long-term survival, modes of death, and predictors of mortality in patients with Fontan surgery. Circulation. 2008 Jan 1;117(1):85-92. doi: 10.1161/CIRCULATIONAHA.107.738559. Epub 2007 Dec 10.
- Engelings CC, Helm PC, Abdul-Khaliq H, Asfour B, Bauer UM, Baumgartner H, Kececioglu D, Korten MA, Diller GP, Tutarel O. Cause of death in adults with congenital heart disease - An analysis of the German National Register for Congenital Heart Defects. Int J Cardiol. 2016 May 15;211:31-6. doi: 10.1016/j.ijcard.2016.02.133. Epub 2016 Mar 2.
- Diller GP, Kempny A, Alonso-Gonzalez R, Swan L, Uebing A, Li W, Babu-Narayan S, Wort SJ, Dimopoulos K, Gatzoulis MA. Survival Prospects and Circumstances of Death in Contemporary Adult Congenital Heart Disease Patients Under Follow-Up at a Large Tertiary Centre. Circulation. 2015 Dec 1;132(22):2118-25. doi: 10.1161/CIRCULATIONAHA.115.017202. Epub 2015 Sep 14.
- Zomer AC, Vaartjes I, van der Velde ET, de Jong HM, Konings TC, Wagenaar LJ, Heesen WF, Eerens F, Baur LH, Grobbee DE, Mulder BJ. Heart failure admissions in adults with congenital heart disease; risk factors and prognosis. Int J Cardiol. 2013 Oct 3;168(3):2487-93. doi: 10.1016/j.ijcard.2013.03.003. Epub 2013 Apr 18.
- Wang F, Liu A, Brophy JM, Cohen S, Abrahamowicz M, Paradis G, Marelli A. Determinants of Survival in Older Adults With Congenital Heart Disease Newly Hospitalized for Heart Failure. Circ Heart Fail. 2020 Aug;13(8):e006490. doi: 10.1161/CIRCHEARTFAILURE.119.006490. Epub 2020 Jul 16.
- Zomer AC, Ionescu-Ittu R, Vaartjes I, Pilote L, Mackie AS, Therrien J, Langemeijer MM, Grobbee DE, Mulder BJ, Marelli AJ. Sex differences in hospital mortality in adults with congenital heart disease: the impact of reproductive health. J Am Coll Cardiol. 2013 Jul 2;62(1):58-67. doi: 10.1016/j.jacc.2013.03.056. Epub 2013 May 1.
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 (Estimate)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- APHP211359
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Time Frame
IPD Sharing Access Criteria
Data sharing must be accepted by the sponsor and the PI based on a scientific project and scientific involvement of the PI team. Collaboration will be fostered.
Data sharing must respect the agreements made with funders.
Teams wishing obtain IPD must meet the sponsor and IP team to present scientific (and commercial) purpose, IPD needed, format of data transmission, and timeframe. Technical feasibility and financial support will be discussed before mandatory contractual agreement.
Processing of shared data must comply with European General Data Protection Regulation (GDPR).
IPD Sharing Supporting Information Type
- Study Protocol
- Informed Consent Form (ICF)
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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