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. Author manuscript; available in PMC: 2018 Jan 1.
Published in final edited form as: Aliment Pharmacol Ther. 2016 Nov 4;45(1):127–138. doi: 10.1111/apt.13834

Table 2.

Area Under The Receiver Operating Curve (AUROC) describing the performance of Non-invasive fibrosis predictive models in chronic viral hepatitis B, C and D

Advanced Fibrosis AUROC by Virus (Ishak Fibrosis Score ≥4)
Model HDV HBV HCV
Area (Confidence Interval)
logFib4 0.70 (0.55–0.84) 0.81 (0.75–0.87) 0.86 (0.83–0.89)
logAPRI 0.68 (0.54–0.82) 0.73 (0.65–0.80) 0.84 (0.81–0.88)
logAAR 0.63 (0.48–0.77) 0.71 (0.63–0.79) 0.71 (0.58–0.68)
logAPI 0.69 (0.55–0.89) 0.78 (0.72–0.84) 0.80 (0.76–0.84)
logHui 0.63 (0.49–0.78) 0.77 (0.70–0.84) 0.81 (0.78–0.85)
Cirrhosis AUROC by Virus (Ishak Fibrosis Score =6)
Area (Confidence Interval)
logFib4 0.83 (0.69–0.97) 0.83 (0.75–0.91) 0.91 (0.87–0.95)
logAPRI 0.75 (0.61–0.89) 0.69 (0.55–0.82) 0.87 (0.83–0.92)
logAAR 0.70 (0.48–0.93) 0.78 (0.69–0.86) 0.68 (0.61–0.76)
logAPI 0.80 (0.66–0.95) 0.80 (0.71–0.89) 0.88 (0.83–0.93)
logHui 0.70 (0.49–0.91) 0.77 (0.65–0.89) 0.83 (0.76–0.89)