Ignite Creation Date:
2024-05-06 @ 10:09 AM
Last Modification Date:
2024-10-26 @ 12:25 PM
Study NCT ID:
NCT03172338
Status:
UNKNOWN
Last Update Posted:
2017-06-01
First Post:
2017-05-29
Brief Title:
SMART - Systems Medicine of Heart Failure
Sponsor:
German Heart Institute
Organization:
German Heart Institute
Study Overview
Official Title:
Smart - Systems Medicine of Heart Failure
Status:
UNKNOWN
Status Verified Date:
2017-05
Last Known Status:
RECRUITING
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
The onset and course of heart failure HF is triggered by a complex regulatory network that includes stressors pressure overload by individual anatomic hemodynamic settings intrinsic genes environmental regulating epigenetics and modifying factors such as hor-mones and the immune system SMART aims to establish individualized strategies for the prevention and management of HF by early detection of the physiological genomic proteo-mic and hemodynamic mechanisms that lead from onecommon cause of ventricular dysfunction pressure overload to maladaptive remodelling and irreversible HF To cope with the complexity of HF SMART will interrelate models describing the interplay between ge-nome proteome and cell function regulating hormones tissue composition and hemody-namic whole organ function up to a whole body description of a patient and patient cohorts The ultimate goal is to demonstrate proof-of-concept tools for predicting disease evolution and efficacy of treatment in a given patient To achieve this task SMART will apply
A modelling framework that couples multi-scale mechanistic models with in-depth genomeproteome cell physiology and whole organ biomechanical and fluid dynamic models
Subsequently investigate methods validity and relevance for quantitative prediction of treatment outcome in a clinical proof-of-concept trial demonstrator of patients with aortic valve desieases
A modelling framework that couples multi-scale mechanistic models with in-depth genomeproteome cell physiology and whole organ biomechanical and fluid dynamic models
Subsequently investigate methods validity and relevance for quantitative prediction of treatment outcome in a clinical proof-of-concept trial demonstrator of patients with aortic valve desieases
Detailed Description:
None
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None