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Table 4 Improvements in risk discrimination of adverse outcomes after adding LSM, CAP or both to a basic risk factor model

From: Prognostic impact of liver fibrosis and steatosis by transient elastography for cardiovascular and mortality outcomes in individuals with nonalcoholic fatty liver disease and type 2 diabetes: the Rio de Janeiro Cohort Study

Predictive models

Total CVEs (n = 69)

All-cause mortality (n = 85)

C-statistic

AUC (95% CI)

Relative IDI (%)

C-statistic

AUC (95% CI)

Relative IDI (%)

Basic modela

0.745 (0.681–0.810)

–

0.738 (0.676–0.800)

–

Adding LSM

0.756 (0.693–0.819)

7.8 %

0.751 (0.691–0.812)

14.1%*

Adding CAP

0.764 (0.701–0.827)*

22.7%*

0.763 (0.706–0.820)*

37.2%*

Adding LSM and CAP

0.777 (0.717–0.838)*

33.6%*

0.775 (0.719–0.832)*

52.1%*

  1. Values are area under curves (95% confidence intervals) for C-statistic and relative percentage increase in Integrated Discrimination Improvement (IDI) index
  2. CVEs cardiovascular events, AUC area under curve, CI confidence interval, IDI Integrated Discrimination Improvement, LSM liver stiffness measurement, CAP controlled attenuation parameter
  3. aThe basic risk factor model included age, sex, diabetes duration, BMI, smoking, arterial hypertension, presence of atherosclerotic cardiovascular diseases and microvascular complications at baseline, serum HbA1c, LDL- and HDL-cholesterol, and use of insulin, statins and aspirin
  4. *Significant (p < 0.05) increases in relation to the basic model
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Cardiovascular Diabetology

ISSN: 1475-2840