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
Study Type
OBSERVATIONAL
Enrollment
1,600
Hopital Louis Pradel
Bron, France
RECRUITINGCardiology Outpatient Department at Hôpital Henri Mondor.
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
Time frame: 3 years
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 \[diagnostic perspective\]
Time frame: 4 years
Assess prospective health outcomes (i.e. overall mortality, cardiovascular events and cardiac function) in the diabetic cardiomyopathy cluster identified
Compare them to those from the other clusters and pre-defined patient groups \[prognostic perspective\]
Time frame: 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
Time frame: 5 years
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Créteil, France
Centre Hospitalier Universitaire Grenoble Alpes
Grenoble, France
RECRUITINGdepartment of diabetology and nutrition, APHM
Marseille, France
RECRUITINGHôpital CHU- Nantes
Nantes, France
RECRUITINGDiabetology department, Cochin Institute
Paris, France
RECRUITINGDiabetology departement, Lariboisière Hospital
Paris, France
RECRUITINGUniversity Hospital Aachen
Aachen, Germany
RECRUITINGUniversity Hospital Heidelberg
Heidelberg, Germany
RECRUITINGAmsterdam UMC
Amsterdam, Netherlands
RECRUITING...and 7 more locations