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Table 9 Receiver operating characteristic (ROC) curve evaluation for CVEV prediction

From: Can cardiac computed tomography predict cardiovascular events in asymptomatic type-2 diabetics?: results of a long term follow-up

Prediction of CVEV: ROC analysis

AUC

95% CI

p

Framingham

0.704

0.506 – 0.902

0.037

Glomerular filtration rate

0.262

0.132 – 0.392

0.015

Age

0.753

0.596 – 0.911

0.010

Calcium score

0.808

0.690 – 0.926

0.002

Clinical model

0.823

0.692 – 0.953

0.001

Clinical-CS model

0.832

0.692 – 0.972

0.001

CT model

0.833

0.711 – 0.955

0.001

Combined model

0.888

0.789 – 0.987

<0.001

ROC comparisons - Combined model vs:

AUC (difference)

95% CI

p

Glomerular filtration rate

0.150

0.004-0.260

0.008

Framingham

0.184

-0.002-0.370

0.052

Age

0.135

-0.015-0.284

0.078

Calcium score

0.080

-0.022-0.182

0.123

Clinical model

0.065

-0.009-0.140

0.086

Clinical-CS model

0.056

-0.023-0.135

0.164

CT model

0.055

-0.025-0.135

0.180

  1. Legend: Predictor models: CT model - composed by calcium score, obstructive Coronary Artery Disease and atherosclerotic plaques; Clinical model – composed by clinical parameters evaluated before Computed Tomography: Glomerular Filtration Rate, age, Framingham; Clinical-CS model – composed by clinical parameters and calcium score; Combined model – composed by parameters included in both clinical and CT models.
  2. Areas under ROC curves (AUC), 95% confidence intervals (CI) and the significance level (p) are presented.
  3. Results presented in this table are related to curves showed in Figure 2.
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BMC Cardiovascular Disorders

ISSN: 1471-2261

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