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. 2020 Nov 27;8(12):546. doi: 10.3390/biomedicines8120546

Table 3.

Cut-off values to predict the presence of NASH and fibrosis.

Cut-Off Value Sens Spec PPV NPV
NASH 0.2575 72.60% 71.60% 75.30% 68.70%
Def NASH 0.2575 87.60% 61.80% 38.10% 92.50%
Sign F 13.25 73.60% 51.40% 36.50% 83.70%
Adv F 10.1 63.50% 69.90% 30.00% 90.50%
Cirrhosis 5.05 51.50% 95.30% 52.80% 96.00%
NASH >1.1210 82.90%
No NASH <−0.6185 80.00%
Def NASH >1.1346 64.10%
No def NASH <0.0120 93.30%
Sign F <7.05 53.70%
No sign F >17.45 86.50%
Adv F <7.05 46.30%
No adv F >18.25 90.70%
Cirrhosis <6.55 30.50%
No cirrhosis >19.45 94.70%

Cut-off values to predict the presence of NASH in patients without significant fibrosis; and to predict fibrosis in the whole population with sensitivity, specificity, positive predictive value and negative predictive value. One and two cut-off models were created for each parameter. Using 1 cut-off, the PPV for definite NASH was low (78/162, 38.1%), but of those misclassified as definite NASH, 52% had borderline NASH. Using 2 cut-offs, the PPV for definite NASH was better (41/64, 64.1%), and with 61% of those misclassified having borderline NASH. Using two cut-off values can lead to patients with an indeterminate value. This “indeterminate” classification was present in 54%, 36%, 65%, 68% and 74% of cases for NASH, definite NASH, significant fibrosis, advanced fibrosis and cirrhosis, respectively. Def, definite NASH; Sign F, significant fibrosis; Adv F, advanced fibrosis; Sens, sensitivity; Spec, specificity; PPV, positive predictive value; NPV, negative predictive value.