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| Name | Class |
|---|---|
| Consorcio Centro de Investigación Biomédica en Red (CIBER) | OTHER_GOV |
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The objective of the CARDIATEAM clinical study is to assess the uniqueness of diabetic cardiomyopathy (DCM) relative to other forms of cardiomyopathy using unsupervised clustering approaches based on deep phenotyping (clinical, imaging and biological) information.
CARDIATEAM study will address the uniqueness of DCM, and its progression towards heart failure (HF) with preserved ejection fraction (HFpEF) by recruiting a prospective CARDIATEAM cohort (n=1600 individuals) from existing cohorts using a defined set of selection criteria and will include type2-Diabetes mellitus (T2DM)and non-diabetic patients with a large spectrum of demographic, metabolic and cardiac clinical data. This will yield a wide range of T2DM - related phenotypes including common confounders such as BMI, smoking, age and blood pressure.
To clarify the phenotype of DCM and to differentiate it from the other forms of HF such as HFpEF or HCM, CARDIATEAM will perform unbiased clustering analysis from an in-depth phenotyping of these patients' populations
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Subjects without T2DM and without HF | |||
| Patients without T2DM and with HFpEF | |||
| Patients with T2DM and without HFpEF | |||
| Patients with T2DM and HFpEF | |||
| Patients without T2DM and with hypertrophic cardiomyopathy | |||
| Patients with T2DM and with hypertrophic cardiomyopathy |
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| Measure | Description | Time Frame |
|---|---|---|
| Assess the uniqueness of diabetic cardiomyopathy (DCM) relative to other forms of cardiomyopathy | Use of unsupervised clustering approaches based on deep phenotyping (clinical, imaging and biological) information | 3 years |
| Measure | Description | Time Frame |
|---|---|---|
| Identify the best clinical, biological, imaging and multi-OMICs predictors belonging to each identified cluster | Specific focus on cluster(s) relating to a putative diabetic cardiomyopathy comparatively to other clusters [diagnostic perspective] | 4 years |
| Assess prospective health outcomes (i.e. overall mortality, cardiovascular events and cardiac function) in the diabetic cardiomyopathy cluster identified |
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Inclusion criteria
Female or male, aged between ≥ 40 and ≤80 years
Normal LVEF AND absence of akinetic segment assessed by echocardiography (i.e. LVEF≥50%)
Patients diagnosed according to the specific diagnostic criteria of each disease (Cf. table below (definition criteria)). For each group, the diagnosis will be based on current accepted criteria:
Suitable echocardiographic window
Absence of history of coronary artery disease including history of myocardial ischaemia, myocardial infarction or percutaneous coronary intervention
Absence of significant coronary artery disease (CAD) defined as:
Patient covered by a health insurance
Non-inclusion criteria:
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Since CARDIATEAM aims to assess the uniqueness of DCM, it will include a group of non-diabetic non-HFpEF individuals with diversified characteristics relating to obesity, glucose intolerance and hypertension. Consequently, CARDIATEAM cohort will recruit both non-diabetic and diabetic patients with a large spectrum of demographic, metabolic and cardiac (heart failure vs. no heart failure) clinical data.
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| Name | Affiliation | Role |
|---|---|---|
| Geneviève DERUMEAUX, MD, PhD | Henri Mondor University Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Hopital Louis Pradel | Bron | 69677 | France | |||
| Cardiology Outpatient Department at Hôpital Henri Mondor. |
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| ID | Term |
|---|---|
| D058065 | Diabetic Cardiomyopathies |
| ID | Term |
|---|---|
| D009202 | Cardiomyopathies |
| D006331 | Heart Diseases |
| D002318 | Cardiovascular Diseases |
| D048909 | Diabetes Complications |
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Plasma EDTA, Serum, Paxgene RNA, Urine
Compare them to those from the other clusters and pre-defined patient groups [prognostic perspective] |
| 5 years |
| Explore the pathophysiological and potentially causal pathways characterizing diabetic cardiomyopathy | Better understand the underlying mechanisms responsible for establishment and progression of disease, based on OMICs data and causal inference modeling | 5 years |
| Créteil |
| France |
| Centre Hospitalier Universitaire Grenoble Alpes | Grenoble | 38043 | France |
| department of diabetology and nutrition, APHM | Marseille | France |
| Hôpital CHU- Nantes | Nantes | 44093 | France |
| Diabetology department, Cochin Institute | Paris | 75015 | France |
| Diabetology departement, Lariboisière Hospital | Paris | 75475 | France |
| University Hospital Aachen | Aachen | 52074 | Germany |
| University Hospital Heidelberg | Heidelberg | Germany |
| Amsterdam UMC | Amsterdam | 1100 DD | Netherlands |
| University Medical Center Groningen (UMCG), Cardiology/Cardio Research | Groningen | Netherlands |
| Academisch ziekenhuis Maastricht, Cardiology | Maastricht | Netherlands |
| UMC Utrecht, Cardiology (DHL) | Utrecht | Netherlands |
| Hospital Vall Hebrón | Barcelona | 08035 | Spain |
| Institut D'Investigacions Biomedica August Pi I Sunyer (IDIBAPS) | Barcelona | Spain |
| Hospital Gregorio Marañón | Madrid | 28007 | Spain |
| University of Dundee, Div of Molecular&Clinical Medicine | Dundee | DD1 9SY | United Kingdom |
| D003920 |
| Diabetes Mellitus |
| D004700 | Endocrine System Diseases |