A New Integrated Clinical-Biohumoral Model to Predict Functionally Significant Coronary Artery Disease in Patients With Chronic Chest Pain

: Caselli C, Rovai D, Lorenzoni V, Carpeggiani C, Teresinska A, Aguade S, Todiere G, Gimelli A, Schroeder S, Casolo G, Poddighe R, Pugliese F, Le Guludec D, Valente S, Sambuceti G, Perrone-Filardi P, Del Ry S, Marinelli M, Nekolla S, Pietila M, Lombardi M, Sicari R, Scholte A, Zamorano J, Kaufmann PA, Underwood SR, Knuuti J, Giannessi D, Neglia D

Publisher: ELSEVIER SCIENCE INC

: 2015

: Canadian Journal of Cardiology

: CANADIAN JOURNAL OF CARDIOLOGY

: CAN J CARDIOL

: 31

: 6

: 709

: 716

: 8

: 0828-282X

DOI: https://doi.org/10.1016/j.cjca.2015.01.035

Conclusions: The Genders model has a low accuracy for predicting functionally significant CAD. A new model integrating HDL cholesterol, AST, and hs-CRP levels with common clinical variables has a higher predictive accuracy for functionally significant CAD and allows the reclassification of patients from an intermediate/high to a low pretest likelihood of CAD.