Table 3 Comparison of model performance for the prediction of coronary stenosis by adding kidney damage biomarkers to a baseline model including cardiovascular risk factors. The coronary stenosis was defined by coronary computed tomography angiography (CCTA).

From: The association between novel urinary kidney damage biomarkers and coronary atherosclerosis in an apparently healthy population

Model

C-statistic

(95%CI)

Likelihood ratio test

p-value

Baseline model*

0.747 (0.734, 0.764)

Ref.

Baseline model + eGFR

0.748 (0.735, 0.765)

< 0.001

Baseline model + albuminuria

0.747 (0.734, 0.762)

0.486

Baseline model + KIM-1

0.748 (0.735, 0.763)

0.001

Baseline model + osteopontin

0.747 (0.733, 0.764)

0.124

Baseline model + EGF

0.747 (0.734, 0.763)

0.892

Baseline model + DKK-3

0.747 (0.734, 0.763)

0.882

  1. *The baseline model was a multivariable logistic regression model with adjusting for age, sex, country of birth, and individual cohort, low-density lipoprotein, systolic blood pressure, diastolic blood pressure, antihypertensive treatment, anti-hyperlipidemia treatment, diagnosis of diabetes mellitus, antidiabetic treatment, and smoke status.