Goliasch G, Silbernagel G, Kleber ME, Grammer TB, Pilz S, Tomaschitz A, Bartko PE, Maurer G et al.
Among 864 diabetic LURIC patients followed for a median of 9.6 years, 135 candidate biomarkers were evaluated for long-term cardiovascular mortality prediction. Bootstrapped Cox regression identified seven key variables — NT-proBNP, age, male sex, renin, diabetes duration, Lp-PLA2, and 25-OH vitamin D3 — forming the VILDIA score (C-statistic 0.76), which outperformed the UKPDS risk engine (C-statistic 0.64) and improved net reclassification by 22% (95% CI: 14-30%).
Scientific Reports, 5. Juli 2017 | PMID 28680124