Research Article

Urinary BA Indices as Prognostic Biomarkers for Complications Associated with Liver Diseases

Table 4

Univariate logistic regression analyses for the prediction of developing ascites in the entire liver-patient population based on demographics and non-BA parameters.

Demographics and non-BA parameters value valueOdds ratio (OR): Exp ()
1 unit change10% change20% change

Age (yr)0.0120.3661.0121.0001.001
BMI-0.0080.6850.9921.0000.999
Gender1.2910.0013.636NANA
Race0.258
Creatinine (mg/dL)0.0480.6011.0491.0051.010
Albumin (g/dL)-1.9800.0010.1380.4810.231
INR1.5290.0014.6141.1801.391
Protime (sec)0.1330.0011.1421.1561.337
AST (U/L)0.0030.1681.0031.0171.034
ALT (U/L)-0.0040.2570.9960.9770.955
Bilirubin (mg/dL)0.5360.0011.7091.0691.142
AST/ALT1.8950.0016.6531.2461.552
MELD0.2760.0011.3181.2811.642

value: regression coefficient; Race is a categorical variable which contains five race groups. There are five values for value and HR, one for each race group, which are not shown, because was not statistically significant in univariate logistic regression analysis; BMI: body mass index; INR: international normalized ratio; AST: aspartate transaminase; ALT: alanine transaminase; MELD: model for end-stage liver disease. NA: not applicable.