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

A1 Refereed original research article in a scientific journal

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

Authors: 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

Publication year: 2015

Journal: Canadian Journal of Cardiology

Journal name in source: CANADIAN JOURNAL OF CARDIOLOGY

Journal acronym: CAN J CARDIOL

Volume: 31

Issue: 6

First page : 709

Last page: 716

Number of pages: 8

ISSN: 0828-282X

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

Abstract

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.