Biomarkers in HF: Circulating Biomarkers of Fibrosis and Cardiovascular Disease
NCT ID: NCT05826821
Last Updated: 2023-04-24
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
COMPLETED
107 participants
OBSERVATIONAL
2017-03-02
2020-04-29
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
Myocardial fibrosis can be measured non-invasively using the cardiovascular magnetic resonance imaging (MRI) extracellular volume (ECV) technique. However, some patients cannot undergo MRI scanning, and it is expensive. Circulating biomarkers in the blood that are sensitive to changes in myocardial fibrosis would represent an attractive cheaper and accessible alternative.
This study aims to assess baseline levels of, and longitudinal change in, circulating biomarkers relating to fibrosis and cardiovascular disease in gifted samples from PIROUETTE trial participants, and evaluate the relationship between the biomarkers, anti-fibrotic treatment response and other study measurements.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
CMR Assessment of Cardiac Microvascular Dysfunction in Patients With HFpEF
NCT06316661
Heart Failure With Preserved Ejection Fraction: Evaluation and Recognition by CMR
NCT05114785
⁶⁸Ga-FAPI PET/CT for Cardiac Fibrosis in Heart Failure
NCT07296081
SPECT Fibroblast Activation Protein Imaging in Patients With Cardiac Disease
NCT06326970
Heart Failure With Preserved Ejection Fraction and Its Cardiac MR Characteristics of Different Subtypes
NCT06916611
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
Myocardial fibrosis is caused by excess secretion of collagen and other large molecules within the heart. Several of these molecules can be detected and measure in blood serum, thereby acting as non-invasive markers of myocardial fibrosis. Examples include, but are not limited to, precursors of type I and type 3 collagen.
In addition, gut microorganisms produce imidazole propionate (ImP), which can be detected in blood samples. This molecule has previously been associated with cardiovascular disease and heart failure and the investigators hypothesise that it may also be associated with myocardial fibrosis.
These circulating biomarkers of fibrosis are a cheaper and more accessible alternative for measurement of cardiac fibrosis compared to cardiovascular MRI ECV technique.
This study will investigate the association between circulating biomarkers of fibrosis, gut microbiome function and cardiovascular disease in samples from PIROUETTE.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
COHORT
RETROSPECTIVE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
Pirfenidone
Pirfenidone 801mg capsule by mouth, three times a day (target dose) for 12 months
Pirfenidone
Intervention drug
Placebo
Placebo capsule by mouth, three times a day (target dose) for 12 months
No interventions assigned to this group
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
Pirfenidone
Intervention drug
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
* Male or female; aged 40 years or older.
* HF, defined as one symptom present at the time of screening, and one sign present at the time of screening or in the previous 12 months. Symptoms and signs are defined as:
* Symptoms: dyspnoea on exertion, orthopnoea or paroxysmal nocturnal dyspnoea Signs: peripheral oedema, crackles on chest auscultation post-cough, raised jugular venous pressure or chest x-ray demonstrating pleural effusion, pulmonary congestion, or cardiomegaly
* Left Ventricular Ejection Fraction (LVEF) \> 45% at Visit 0, (any local LVEF measurement made using echocardiography or CMR).
* BNP ≥ 100 pg/ml or NTproBNP ≥ 300 pg/ml recorded at Visit 0. For patients in atrial fibrillation on Visit 0 ECG, BNP \> 300pg/ml or NTproBNP \> 900 pg/ml at Visit 0.
* Myocardial fibrosis, defined as Extracellular Matrix (ECM) volume \> 27% by CMR at Visit 0.
Exclusion Criteria
* Probable alternative cause of patient's HF symptoms that in the opinion of the investigator primarily accounts for patient's dyspnoea such as significant pulmonary disease, anaemia or obesity. Specifically, patients with the below are excluded:
Severe chronic obstructive pulmonary disease (COPD) (i.e., requiring home oxygen, chronic nebuliser therapy, or chronic oral steroid therapy), or Haemoglobin \< 9 g/dl, or Body mass index (BMI) \> 55 kg/m2. Known pericardial constriction, genetic hypertrophic cardiomyopathy, or infiltrative cardiomyopathy.
Clinically significant congenital heart disease. Presence of severe valvular heart disease. Atrial fibrillation or flutter with a resting ventricular rate \> 100 bpm. Any medical condition, which in the opinion of the Investigator, may place the patient at higher risk from his/her participation in the study, or is likely to prevent the patient from complying with the requirements of the study or completing the study.
* Severe renal dysfunction at Visit 0, defined as estimated Glomerular Filtration Rate (eGFR) \<30 mL/min (using Chronic Kidney Disease Epidemiology Collaboration Equation (CKD-EPI) calculation), or end-stage renal disease requiring dialysis.
* History of severe hepatic impairment or liver dysfunction at Visit 0, defined as total bilirubin above the upper limit of normal (ULN) (excluding patients with Gilbert's syndrome), aspartate aminotransferase (AST) or alanine transaminase (ALT) \>3 times the ULN or alkaline phosphatase \>2.5 times the ULN.
* Prolonged corrected QT interval, defined as a corrected QT interval \>500 msec on ECG using Bazett formula.
* Known hypersensitivity to any of the components of the investigational medicinal product (IMP).
* Use of other investigational drugs at the time of enrolment, or within 30 days or 5 half-lives of enrolment, whichever is longer.
* Fluvoxamine use within 28 days of Visit 0.
* Contraindication to MRI scanning or gadolinium-based contrast agent
* Pregnancy, lactation or planning pregnancy. Women of childbearing capacity are required to have a negative serum pregnancy test before treatment, must agree to pregnancy tests at study visits as defined in the Section 7.2.5 and must agree to maintain highly effective contraception during the study and for 3 months thereafter. Similarly male participants with female partners of childbearing potential must agree to maintain highly effective contraception during the study and for 3 months thereafter.
40 Years
ALL
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
Manchester University NHS Foundation Trust
OTHER_GOV
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
Manchester University NHS Foundation Trust
Manchester, , United Kingdom
Countries
Review the countries where the study has at least one active or historical site.
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
320856
Identifier Type: REGISTRY
Identifier Source: secondary_id
B01793
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.