An ordinal prediction model of the diagnosis of non-obstructive coronary artery and multi-vessel disease in the CARDIIGAN cohort
The extent of coronary artery disease (CAD) is relevant for the evaluation and the choice of treatment of patients and consists of the severity of stenoses and their distribution within the coronary tree. Diagnosis is not easy and severe CAD should not be missed. For low-risk patients one wants to avoid the invasive angiography. We aim to propose a diagnostic prediction model of CAD respecting the degree of disease severity.
Source: International Journal of Cardiology - Category: Cardiology Authors: Michael Edlinger, Jakob D örler, Hanno Ulmer, Maria Wanitschek, Ewout W. Steyerberg, Hannes F. Alber, Ben Van Calster Source Type: research