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

Chiara Caselli,Daniele Rovai,Valentina Lorenzoni,Clara Carpeggiani,Anna Teresinska,Santiago Aguade,Giancarlo Todiere,Alessia Gimelli,Stephen Schroeder,Giancarlo Casolo,Rosa Poddighe,Francesca Pugliese,Serafina Valente,Gianmario Sambuceti,Pasquale Perrone-Filardi,Silvia Del Ry,Martina Marinelli,Stephan Nekolla,Mikko Pietilä,Massimo Lombardi,Rosa Sicari,Arthur J. Scholte,José Luis Zamorano,Philipp Kaufmann,S. Richard Underwood,Juhani Knuuti,Daniela Giannessi,Danilo Neglia

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

2015

Background: In patients with chronic angina-like chest pain, the probability of coronary artery disease (CAD) is estimated by symptoms, age, and sex according to the Genders clinical model. We investigated the incremental value of circulating biomarkers over the Genders model to predict functionally significant CAD in patients with chronic chest pain. RESUME

Keywords:

Coronary artery disease
Chronic chest pain
Chest pain
Biomarker (medicine)
Cardiology
Clinical research
Internal medicine
Medicine
circulating biomarkers
in patient

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