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. 2020 Sep 10;5(11):2002–2012. doi: 10.1016/j.ekir.2020.08.028

Table 5.

Discriminatory ability of cardiac biomarker to predict all-cause and CV mortality in the CRIC study

Cardiac biomarker Model 0
Model 1
10-Fold CV C-index (95% bootstrap CI) 10-Fold CV C-index (95% bootstrap CI) Difference in C-index, compared to model 0 (95% bootstrap CI)
Overall mortality
 NT-proBNP 0.74 (0.72, 0.76) 0.77 (0.75, 0.78) 0.03 (0.02, 0.04)
 hsTNT 0.74 (0.72, 0.76) 0.76 (0.74, 0.78) 0.02 (0.01, 0.03)
 GDF-15 0.74 (0.72, 0.76) 0.76 (0.74, 0.77) 0.02 (0.01, 0.02)
 Galectin-3 0.74 (0.72, 0.76) 0.75 (0.73, 0.76) 0.00 (0.00, 0.01)
 sST-2 0.74 (0.72, 0.76) 0.75 (0.73, 0.76) 0.01 (0.00, 0.01)
CV mortality
 NT-proBNP 0.77 (0.75, 0.80) 0.80 (0.78, 0.82) 0.03 (0.02, 0.04)
 hsTNT 0.77 (0.75, 0.80) 0.79 (0.77, 0.81) 0.02 (0.01, 0.03)
 GDF-15 0.77 (0.75, 0.80) 0.79 (0.76, 0.81) 0.01 (0.00, 0.02)
 Galectin-3 0.77 (0.75, 0.80) 0.77 (0.75, 0.80) 0.00 (0.00, 0.01)
 sST-2 0.77 (0.75, 0.80) 0.78 (0.75, 0.80) 0.01 (0.00, 0.01)

CRIC, Chronic Renal Insufficiency Cohort; CV, cardiovascular; GDF-15, growth differentiation factor−15; hsTnT, high-sensitivity troponin T; NT-proBNP, N-terminal pro-B-type natriuretic peptide; sST-2, soluble ST-2.

Model 0: age, sex, race/ethnicity, site, diabetes, cardiovascular disease, body mass index, smoking, systolic blood pressure, low-density lipoprotein, high-density lipoprotein, estimated glomerular filtration rate, log-transformed 24-hour urinary protein. Model 1: M0 + log-transformed biomarker.