Urinary BA Indices as Prognostic Biomarkers for Complications Associated with Liver Diseases
Table 6
Model comparisons for ascites prediction.
(a) BALDC model
ROC analysis
HL ( value)
AIC value
SEN
SPE
PPV
NPV
Cutoff value (SEN, SPE)
33.90%
88.30%
48.80%
80.20%
-0.99 (74%, 74%)
0.168
223.56
(b) Non-BA model
ROC analysis
HL( value)
AIC value
SEN
SPE
PPV
NPV
Cutoff value (SEN, SPE)
56.40%
91.50%
72.10%
84.30%
-1.18 (78%, 78%)
0.228
170.81
(c) Mixed BA and Non-BA model
ROC analysis
HL( value)
AIC value
SEN
SPE
PPV
NPV
Cutoff value (SEN, SPE)
54.50%
90.10%
68.2%
83.60%
-1.06 (78%, 78%)
0.11
167.3
(d) Original MELD model
ROC analysis
HL( value)
AIC value
SEN
SPE
PPV
NPV
Cutoff value (SEN, SPE)
45.50%
91.50%
67.60%
81.30%
-1.09 (76%, 76%)
0.029
180.45
SEN: sensitivity; SPE: specificity; PPV: positive predictive value; NPV: negative predictive value; value is for the Hosmer-Lemeshow test (HL); AIC: akaike information criterion.
