Diagnostic performance of clinical likelihood models of obstructive coronary artery disease to predict myocardial perfusion defects.

Laust Dupont RasmussenLine Emilie Brøgger AlbertsenLouise NissenJune Anita EjlersenChristin IsaksenTheodore MurphyHanne Maare SøndergaardJane KirkLau BrixLars Christian Gormsen Steffen Erhard Petersen Niels Ramsing HolmSimon Winther

Published in: European heart journal. Cardiovascular Imaging (2023)

Compared to basic CL models, the RF-CL and CACS-CL models improve down-classification of patients to a very low-risk group with low prevalence of MPD.

Keyphrases

coronary artery disease
end stage renal disease
newly diagnosed
ejection fraction
chronic kidney disease
machine learning
prognostic factors
type diabetes
percutaneous coronary intervention
cardiovascular disease
patient reported