Routinely available biomarkers improve prediction of long-term mortality in stable coronary artery disease: the Vienna and Ludwigshafen Coronary Artery Disease (VILCAD) risk score | Zendy

Georg Goliasch | Zendy; Marcus E. Kleber | Zendy; Bernhard Richter | Zendy; Max Plischke | Zendy; M. Hoke | Zendy; Arvand Haschemi | Zendy; Rodrig Marculescu | Zendy; Georg Endler | Zendy; Tanja B. Grammer | Zendy; Stefan Pilz | Zendy; Andreas Tomaschitz | Zendy; Günther Silbernagel | Zendy; Gerald Maurer | Zendy; Oswald Wagner | Zendy; Kurt Huber | Zendy; Winfried März | Zendy; Christine Mannhalter | Zendy; Alexander Niessner | Zendy

Open Access

Routinely available biomarkers improve prediction of long-term mortality in stable coronary artery disease: the Vienna and Ludwigshafen Coronary Artery Disease (VILCAD) risk score

Author(s) -

Georg Goliasch,

Marcus E. Kleber,

Bernhard Richter,

Max Plischke,

M. Hoke,

Arvand Haschemi,

Rodrig Marculescu,

Georg Endler,

Tanja B. Grammer,

Stefan Pilz,

Andreas Tomaschitz,

Günther Silbernagel,

Gerald Maurer,

Oswald Wagner,

Kurt Huber,

Winfried März,

Christine Mannhalter,

Alexander Niessner

Publication year - 2012

Publication title -

european heart journal

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 4.336

H-Index - 293

eISSN - 1522-9645

pISSN - 0195-668X

DOI - 10.1093/eurheartj/ehs164

Subject(s) - medicine , coronary artery disease , cardiology , disease , framingham risk score , acute coronary syndrome , cad , risk assessment , myocardial infarction , computer security , engineering drawing , computer science , engineering

Previous risk assessment scores for patients with coronary artery disease (CAD) have focused on primary prevention and patients with acute coronary syndrome. However, especially in stable CAD patients improved long-term risk prediction is crucial to efficiently apply measures of secondary prevention. We aimed to create a clinically applicable mortality prediction score for stable CAD patients based on routinely determined laboratory biomarkers and clinical determinants of secondary prevention.

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