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Publikation · PMID 25184160

Evolving biomarkers improve prediction of long-term mortality in patients with stable coronary artery disease: the BIO-VILCAD score

Kleber ME, Goliasch G, Grammer TB, Pilz S, Tomaschitz A, Silbernagel G, Maurer G, März W et al.

Among 1275 LURIC patients with stable coronary artery disease followed for a median of 9.8 years, 135 novel biomarkers were screened to extend the existing VILCAD risk score. A nine-variable BIO-VILCAD model comprising age, sex, LVEF, heart rate, NT-proBNP, cystatin C, renin, 25OH-vitamin D3 and HbA1c achieved a significantly improved C-statistic (0.78 vs. 0.73, p = 0.035) and net reclassification index of 14.9% (p < 0.001), suggesting that biomarker-augmented prediction enables more personalised management of stable CAD patients.

Journal of Internal Medicine, August 2014 | PMID 25184160

Zeitschrift
Journal of Internal Medicine
PMID
25184160
Quelle
https://pubmed.ncbi.nlm.nih.gov/25184160/
Zitationen
25 Relative Zitationsrate 0.85 (1,0 = Durchschnitt des Fachgebiets) · NIH iCite, Stand 20.08.2026