Skip to main content
. Author manuscript; available in PMC: 2024 Jul 2.
Published in final edited form as: J Cardiovasc Comput Tomogr. 2024 Apr 24;18(4):392–400. doi: 10.1016/j.jcct.2024.04.006

Table 2.

Time Dependent Area under curve (AUC) of AI-CAC All Cardiac Chambers Volumetry vs. N-terminal pro-brain natriuretic peptide (NT-proBNP), Agatston CAC score, and 9 Clinical Risk Factors for 5-,10-, and 15-year prediction of heart failure (HF).

5 Years
10 Years
15 Years
HF Events accrued over follow-up
92
188
256
AI-CAC Model Comparison AUC (95% CI) P value AUC (95% CI) P value AUC (95% CI) P value
AI-CAC (AI-enabled All Cardiac Chambers Volumetry)a 0.83 (0.79, 0.87) 0.82 (0.79, 0.86) 0.86 (0.82, 0.91)
Agatston CAC Score 0.69 (0.65, 0.76) 0.0004 0.71 (0.66, 0.75) <0.0001 0.71 (0.68, 0.78) <0.0001
NT-proBNP 0.79 (0.75, 0.84) 0.2640 0.75 (0.71, 0.78) <0.0001 0.74 (0.69, 0.77) <0.0001
Clinical Risk Factors Modelb 0.79 (0.77, 0.85) 0.5809 0.80 (0.76, 0.85) 0.0857 0.85 (0.82, 0.90) 0.4141
Composite Model (Clinical Risk Factors + Agatston CAC Score + AI-CAC) Comparison
Composite Model 0.86 (0.82, 0.92) 0.85 (0.81, 0.90) 0.89 (0.86, 0.94)
AI-CAC (AI-enabled All Cardiac Chambers Volumetry) 0.83 (0.79, 0.87) 0.0042 0.82 (0.79, 0.86) 0.0004 0.86 (0.82, 0.91) <0.0001
Agatston CAC Score 0.69 (0.65, 0.76) <0.0001 0.71 (0.66, 0.75) <0.0001 0.71 (0.68, 0.78) <0.0001
NT-proBNP 0.80 (0.75, 0.84) 0.0035 0.75 (0.71, 0.78) <0.0001 0.74 (0.69, 0.77) <0.0001
Clinical Risk Factors Modelb 0.82 (0.77, 0.87) 0.0013 0.80 (0.76, 0.85) <0.0001 0.82 (0.79, 0.85) <0.0001
a

Adjusted by age, gender, body surface area (BSA). P-values are determined by the DeLong test in comparison to the AI-CAC all chambers model.

b

9 known risk factors: Age, gender, diabetes, current smoking, hypertension medication, systolic blood pressure, diastolic blood pressure, LDL cholesterol, HDL cholesterol.