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The Project

Check out some more information about the project

GESS aims at:

Novelty

In Greece, there is no database of medical data on such a scale, capturing clinical and genetic information

Algorithm Creation

We combine genetic, pharmacogenetic, clinical and laboratory data to create a cardiovascular event prediction algorithm (GEnetic Syntax Score-GESS) on the basis of which the individualized therapeutic approach of patients with coronary artery disease will be possible and is the first global research effort in this direction

Data Pool

The clinical and genetic database will be a “pool” in which in the future it will be possible to retrospectively evaluate information in combination with any genetic information from each patient using the stored genetic material

The objectives of GESS are the:

Creation of a systematized, large-scale, medical data base capturing clinical, angiographic, genomic and pharmacogenetic data

Association of 228 genetic polymorphisms with coronary artery disease complexity Disease (CN) as defined by the SYNTAX score.

Development of a panel of genetic polymorphisms - biomarkers (GEnetic Syntax Score diagnostics-GESSx), as a tool for predicting cardiovascular events.

Development of a combined algorithm for predicting cardiovascular events (GESS) after angiography (cardiovascular death, myocardial infarction, stent thrombosis, any repeat coronary intervention, stroke). The predictive algorithm will apply to all patients without a previous history of CAD who will undergo coronary angiography for clinical purposes. In particular, a genetic risk score (GRS), the SYNTAX score and clinical parameters will be combined.

Development of a combined algorithm for predicting bleeding complications (BARC bleeding) after stent angioplasty in patients receiving clopidogrel and will be a combination of the genetic risk score (SNPs previously studied for pharmacological response in patients receiving clopidogrel), the SYNTAX score and clinical parameters.

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