The present invention relates to methods and a device to generate one or more predictors for prognostic characterisation of coronary artery disease. The method according to the invention comprises the steps of providing (S200a) geometrical parameters describing spatial geometrical relations of a coronary artery (10) segment with a stenosis (12)； providing (S200b) intracoronary pressure data characteristic of the coronary artery (10) segment with the stenosis (12)； solving (S210) a flow dynamical problem formulated for the coronary artery (10) segment with the stenosis (12) for hyperaemic state and rest state of the coronary artery (10) by making use of said geometrical parameters and pressure data, thereby determining volumetric blood flow (Q) values； and generating (S220) at least one prognostic predictors characteristic of the coronary artery disease by combining the obtained volumetric blood flow (Q) values. The device according to the invention comprises an input data receiving unit for receiving input data, said data being geometrical parameters describing spatial geometrical relations of a coronary artery (10) segment with a stenosis (12) and intracoronary pressure data characteristic of the coronary artery (10) segment with the stenosis (12)； a memory unit for storing the data, in data communication with the input data receiving unit； a processing unit in data communication with the memory unit and being configured to execute a computer code for performing steps to receive a flow dynamical problem related to the coronary artery (10) segment with the stenosis (12) and to solve said flow dynamical problem, said computer code being adapted to generate volumetric blood flow (Q) values by solving said flow dynamical problem for hyperaemic state and rest state of the coronary artery (10) by making use of said geometrical parameters and pressure data, and to generate at least one prognostic predictors characteristic of the coronary artery disease by combining the ob
